Most popular
-59%
Time Management and Productivity
What you'll learn
Module 1: Fundamentals of Time Management (4 hours)
Session 1.1: Understanding Time Management (2 hours)
Introduction to time management and its importance
Self-assessment: Personal time management evaluation
Principles of effective time management
Session 1.2: Setting Goals and Priorities (2 hours)
Techniques for setting SMART goals
Prioritizing tasks using methods like Eisenhower Matrix
Exercise: Setting personal and professional goals
Module 2: Planning and Organizing (4 hours)
Session 2.1: Strategic Planning and Scheduling (2 hours)
Creating effective plans and schedules
Tools for planning (calendars, planners, apps)
Activity: Developing a weekly plan
Session 2.2: Organizational Skills for Productivity (2 hours)
Techniques for organizing work and personal spaces
Systems for managing paperwork and digital files
Workshop: Organizational system setup
Module 3: Overcoming Time Management Challenges (4 hours)
Session 3.1: Managing Distractions and Interruptions (2 hours)
Identifying and dealing with common distractions
Strategies for managing interruptions
Group discussion: Sharing experiences and strategies
Session 3.2: Dealing with Procrastination (2 hours)
Understanding the psychology of procrastination
Strategies to overcome procrastination
Exercise: Implementing anti-procrastination techniques
Module 4: Advanced Time Management Techniques (4 hours)
Session 4.1: Leveraging Technology for Time Management (2 hours)
Exploring time management and productivity tools
Integrating technology effectively into time management strategies
Hands-on session: Using productivity apps
Session 4.2: Time Management for Teams (2 hours)
Collaborative time management techniques
Managing team deadlines and priorities
Role-play: Leading a time-sensitive project
Module 5: Building and Sustaining Productivity Habits (4 hours)
Session 5.1: Developing Personal Productivity Habits (2 hours)
Building and maintaining productive habits
Techniques for continuous self-improvement
Workshop: Habit formation and tracking
Session 5.2: Integrating Time Management into Daily Life (2 hours)
Applying time management skills in real-life scenarios
Work-life balance and maintaining productivity
Group activity: Developing a personal time management plan
Additional Elements:
Guest Speakers: Time management experts or professionals sharing personal experiences and tips.
Interactive Activities: Workshops, group discussions, and role-plays.
Assignments: Time audits, goal setting exercises, and productivity plan development.
Feedback and Assessment: Peer reviews, instructor feedback, and a final presentation or report on personal time management strategies.
This course aims to provide MBA students with the skills and techniques necessary to effectively manage their time, increase productivity, and maintain a healthy work-life balance.
-63%
Beginner
Enterprise Resource Planning (ERP) Systems – Integrating Efficiency with ERP System Expertise
₹1,499.00₹4,000.00
Enterprise Resource Planning (ERP) Systems – Integrating Efficiency with ERP System Expertise
What you'll learn
Week 1: Introduction to ERP Systems (4 Hours)
Session 1 (2 Hours): Fundamentals of ERP Systems
Overview of ERP Systems and Their Evolution
Key Components and Architecture of ERP Systems
Role and Benefits of ERP in Business Integration
Session 2 (2 Hours): Types of ERP Systems and Vendors
Overview of Major ERP Systems (e.g., SAP, Oracle, Microsoft Dynamics)
Cloud-based vs. On-premises ERP Solutions
Selecting an ERP System: Factors to Consider
Week 2: ERP Implementation and Modules (6 Hours)
Session 3 (2 Hours): ERP Implementation Process
Steps in ERP Implementation
Project Planning and Management for ERP Implementation
Risk Management in ERP Projects
Session 4 (2 Hours): Functional Modules of ERP Systems
In-depth Look at Key ERP Modules (Finance, HR, Supply Chain, etc.)
Integration of ERP Modules in Business Processes
Hands-on Exercise with a Simulated ERP Environment
Session 5 (2 Hours): ERP System Customization and Configuration
Customization vs. Configuration in ERP Systems
Best Practices in ERP System Customization
Case Studies on Successful ERP Customizations
Week 3: ERP and Business Process Integration (6 Hours)
Session 6 (2 Hours): Business Process Reengineering and ERP
Understanding Business Process Reengineering (BPR)
Aligning ERP Systems with Business Processes
Impact of ERP on Organizational Structure and Culture
Session 7 (2 Hours): ERP System Upgrades and Maintenance
Managing ERP System Upgrades
Routine Maintenance and Support for ERP Systems
Training and User Support Strategies
Session 8 (2 Hours): Data Management and Analytics in ERP
Role of ERP in Data Management and Business Intelligence
Leveraging ERP Data for Analytics and Decision Making
Case Study on ERP-Enabled Business Analytics
Week 4: Advanced Topics and Emerging Trends (4 Hours)
Session 9 (2 Hours): Emerging Trends in ERP
ERP in the Era of Big Data and IoT
Mobile ERP and Cloud Computing Trends
Future Outlook of ERP Systems
Session 10 (2 Hours): Capstone Project and Course Wrap-Up
Group Project on ERP Implementation Strategy
Presentations and Discussions on ERP Case Studies
Course Summary and Discussion on Further Learning Opportunities
The course would ideally blend theoretical insights with practical, hands-on exercises, possibly using an ERP simulation tool or case studies. The final capstone project should involve applying ERP concepts to a real-world business scenario, encouraging students to think strategically about the use of ERP systems in an organizational context. This structure ensures that MBA students gain a comprehensive understanding of ERP systems, their implementation challenges, and their strategic value in business operations.
-50%
Beginner
Power BI tailored for MBA students – Power BI for Future Business Leaders
₹1,499.00₹3,000.00
Power BI tailored for MBA students – Power BI for Future Business Leaders
What you'll learn
Week 1: Introduction and Basics of Power BI (4 Hours)
Session 1 (2 Hours): Introduction to Business Intelligence and Power BI
Overview of Business Intelligence (BI)
Introduction to Power BI and its position in the market
Installing Power BI Desktop
Basic Navigation and Interface Overview
Session 2 (2 Hours): Getting Started with Power BI
Connecting to Data Sources
Basic Data Import and Transformation using Power Query
Introduction to Data Modeling
Week 2: Data Analysis and Visualization (6 Hours)
Session 3 (2 Hours): Deep Dive into Data Analysis
Advanced-Data Transformation Techniques
Understanding Data Types and Categories
Introduction to DAX (Data Analysis Expressions) Basics
Session 4 (2 Hours): Creating Basic Visuals
Exploring Various Visualization Types
Creating and Customizing Charts and Graphs
Using Slicers and Filters for Interactive Reports
Session 5 (2 Hours): Advanced Visualization Techniques
Advanced DAX for Complex Calculations
Creating Interactive Dashboards
Best Practices for Data Visualization
Week 3: Reporting and Dashboarding (6 Hours)
Session 6 (2 Hours): Effective Reporting
Designing Compelling Reports
Storytelling with Data
Incorporating MBA Concepts into Reports (e.g., Financial Ratios, Market Analysis)
Session 7 (2 Hours): Advanced Dashboard Features
Drill-through and Drill-down Capabilities
Conditional Formatting and Data Alerts
Q&A and Natural Language Queries
Session 8 (2 Hours): Publishing and Sharing
Publishing Reports to Power BI Service
Sharing Dashboards and Reports
Collaboration Features in Power BI
Week 4: Integration and Real-World Application (4 Hours)
Session 9 (2 Hours): Integrating Power BI with Other Tools
Integration with Excel and Other Microsoft Services
Connecting Power BI to External Databases
Overview of APIs and Embedded Analytics
Session 10 (2 Hours): Capstone Project and Course Wrap-up
Applying Skills to a Real-World Business Case
Creating a Full Report and Dashboard from Scratch
Course Recap and Further Learning Resources
Each session can include a mix of lectures, hands-on exercises, and real-world case studies to ensure that students not only learn the technical aspects of Power BI but also understand how to apply these skills in a business context. The capstone project in the final session should ideally be a comprehensive task that requires students to apply all the skills they've learned throughout the course.
Featured
-39%
Mastering Hard Skills in the Modern Business World
What you'll learn
Develop a solid foundation in key business-related hard skills.
Gain proficiency in data analysis and interpretation.
Enhance financial literacy and understanding of financial statements.
Master project management tools and techniques.
Develop expertise in essential software and technological tools used in businesses.
Enhance problem-solving and critical thinking skills.
Apply hard skills to real-world business scenarios through case studies and hands-on exercises.
Understand the integration of various hard skills for holistic professional development.
Stay updated with the latest trends and advancements in business-related hard skills.
Prepare for successful careers in diverse fields with enhanced hard skill sets.
-63%
Intermediate
Digital Marketing Analytics – Metrics to Strategy: Mastering Online Impact
₹1,500.00₹4,000.00
Digital Marketing Analytics – Metrics to Strategy: Mastering Online Impact
What you'll learn
Week 1: Introduction to Digital Marketing and Analytics (4 Hours)
Session 1 (2 Hours): Fundamentals of Digital Marketing
Overview of Digital Marketing Landscape
Key Digital Marketing Channels (SEO, PPC, Social Media, Email Marketing)
Introduction to Digital Marketing Strategy
Session 2 (2 Hours): Basics of Digital Marketing Analytics
Role of Analytics in Digital Marketing
Understanding Key Metrics and KPIs
Introduction to Analytics Tools (e.g., Google Analytics)
Week 2: Analytics Tools and Techniques (6 Hours)
Session 3 (2 Hours): Web Analytics
In-depth Exploration of Google Analytics
Tracking Website Traffic and User Behavior
Analyzing and Interpreting Web Data
Session 4 (2 Hours): Social Media Analytics
Overview of Social Media Analytics Tools
Measuring Engagement and Performance on Different Platforms
Case Studies in Social Media Analytics
Session 5 (2 Hours): SEO and Content Analytics
SEO Tools and Techniques for Analysis
Content Performance Metrics and Analysis
Integrating SEO and Content Strategy with Overall Digital Marketing
Week 3: Advanced Analytics and Data-Driven Strategies (6 Hours)
Session 6 (2 Hours): Email Marketing and CRM Analytics
Analyzing Email Marketing Campaigns
Integrating CRM Data for Enhanced Insights
Personalization and Segmentation Strategies
Session 7 (2 Hours): PPC and Paid Media Analytics
Analyzing and Optimizing PPC Campaigns
Understanding Attribution Models in Paid Media
Budget Allocation and ROI Calculation
Session 8 (2 Hours): Data Visualization and Reporting
Tools for Creating Marketing Dashboards (e.g., Tableau, Power BI)
Visualizing Marketing Data for Insights
Preparing and Presenting Marketing Reports
Week 4: Practical Application and Capstone Project (4 Hours)
Session 9 (2 Hours): Integrating Digital Marketing Analytics into Business Strategy
Developing Data-Driven Marketing Strategies
Case Studies of Successful Digital Marketing Campaigns
Discussion on Ethical Considerations in Digital Marketing
Session 10 (2 Hours): Capstone Project and Course Wrap-Up
Group Project: Creating a Digital Marketing Analytics Strategy for a Real-World Business Scenario
Project Presentations and Feedback
Course Summary and Future Learning Pathways
This course would ideally blend theoretical instruction with practical, hands-on exercises using real-life case studies and analytics tools. The capstone project should be a comprehensive exercise where students apply analytics concepts to develop a digital marketing strategy for a business case, providing practical experience in utilizing analytics for strategic decision-making. This structure ensures that MBA students gain not only technical skills in digital marketing analytics but also understand how to apply these insights in a broader business context.
-63%
Beginner
Microsoft Excel Power Query, Power Pivot & DAX – Excel Advanced Tools: Power Query, Pivot & DAX Mastery
₹1,500.00₹4,000.00
Microsoft Excel Power Query, Power Pivot & DAX – Excel Advanced Tools: Power Query, Pivot & DAX Mastery
What you'll learn
Week 1: Introduction to Power Query and Data Manipulation (4 Hours)
Session 1 (2 Hours): Fundamentals of Power Query
Introduction to Power Query and its Business Applications
Navigating the Power Query Interface
Basic Data Importing and Transformation Techniques
Session 2 (2 Hours): Advanced Data Handling in Power Query
Merging and Appending Queries
Working with Different Data Sources (Web, SQL, etc.)
Advanced Data Transformations and Cleaning Techniques
Week 2: Power Pivot and Data Modeling (6 Hours)
Session 3 (2 Hours): Introduction to Power Pivot
Overview of Power Pivot and its Role in Data Analysis
Creating Data Models in Power Pivot
Understanding Relationships and Data Model Optimization
Session 4 (2 Hours): Advanced Data Modeling in Power Pivot
Working with Large Datasets
Creating Complex Relationships and Hierarchies
Introduction to Key Performance Indicators (KPIs) in Power Pivot
Session 5 (2 Hours): PivotTables and PivotCharts with Power Pivot
Building Advanced PivotTables and PivotCharts
Using Slicers and Timelines for Interactive Reports
Combining Power Query and Power Pivot for Analysis
Week 3: Introduction to DAX (Data Analysis Expressions) (6 Hours)
Session 6 (2 Hours): Basics of DAX
Understanding DAX and its Syntax
Basic DAX Functions and Formulas
Creating Calculated Columns and Measures
Session 7 (2 Hours): Advanced DAX Functions
Time Intelligence Functions
Advanced DAX Formulas for Complex Calculations
Understanding Context in DAX (Row vs. Filter Context)
Session 8 (2 Hours): Practical DAX Applications
Applying DAX in Real-World Business Scenarios
Using DAX for Data Analysis and Reporting
Hands-On Exercises and Case Studies
Week 4: Integrating Skills and Capstone Project (4 Hours)
Session 9 (2 Hours): Integrating Power Query, Power Pivot, and DAX
Combining Skills for Comprehensive Data Analysis
Best Practices for Building Scalable and Efficient Excel Models
Addressing Common Business Data Analysis Challenges
Session 10 (2 Hours): Capstone Project and Course Wrap-Up
Applying Learned Skills to a Real-World Business Problem
Group Project Presentation and Review
Course Summary and Pathways for Further Learning
The course should include a mix of theoretical instruction, practical demonstrations, and hands-on exercises. The capstone project in the final week should involve a comprehensive business analysis task, enabling students to apply their newly acquired skills in Power Query, Power Pivot, and DAX to a real-world business scenario. This structure ensures that MBA students not only learn advanced Excel features but also understand how to apply these tools strategically for business analysis and decision-making.
Featured
-40%
Mastering Soft Skills for Business Success
What you'll learn
Understand the importance and impact of soft skills in the business world.
Develop effective communication and interpersonal skills.
Enhance emotional intelligence for better relationship management.
Cultivate a growth mindset for continuous learning and development.
Master time management and organizational skills.
Build resilience and stress management capabilities.
Enhance critical thinking and problem-solving skills.
Foster a culture of empathy and understanding in a leadership role.
Improve negotiation and conflict resolution skills.
Prepare for a successful career by integrating soft skills into your professional life.
-59%
Database Management and SQL – Structured Data Mastery: SQL & Beyond
What you'll learn
Week 1: Introduction to Databases and SQL (4 Hours)
Session 1 (2 Hours): Fundamentals of Database Systems
Overview of Database Management Systems (DBMS)
Types of Databases: Relational vs. Non-Relational
Basic Database Terminology and Concepts
Session 2 (2 Hours): Introduction to SQL
Understanding SQL and its Role in Databases
Basic SQL Syntax and Commands
Setting Up a SQL Environment (e.g., MySQL, PostgreSQL)
Week 2: SQL for Data Retrieval (6 Hours)
Session 3 (2 Hours): Basic SQL Queries
SELECT Statements, WHERE Clauses
Working with Columns and Rows
Sorting and Filtering Data
Session 4 (2 Hours): Advanced Data Retrieval
JOIN Operations: Combining Data from Multiple Tables
Aggregating Data with GROUP BY and HAVING Clauses
Subqueries and Nested Queries
Session 5 (2 Hours): Practical SQL Exercises
Hands-on SQL Query Exercises
Case Studies on Data Retrieval in Business Scenarios
Week 3: Database Design and Data Manipulation (6 Hours)
Session 6 (2 Hours): Database Design Principles
Understanding Data Modeling and Entity-Relationship Diagrams
Normalization and Database Schemas
Creating Tables and Setting Primary/Foreign Keys
Session 7 (2 Hours): SQL for Data Manipulation and Management
INSERT, UPDATE, and DELETE Operations
Data Integrity and Transactions
Basics of Stored Procedures and Functions
Session 8 (2 Hours): Working with Real-World Data
Importing and Exporting Data
SQL for Business Analytics and Reporting
Integrating SQL Queries with Business Intelligence Tools
Week 4: Advanced Topics and Practical Applications (4 Hours)
Session 9 (2 Hours): Advanced SQL and Performance Optimization
Advanced SQL Features (e.g., Window Functions, Indexing)
Query Optimization Techniques
Understanding SQL Execution Plans
Session 10 (2 Hours): Capstone Project and Course Wrap-Up
Applying SQL Skills to a Real Business Case
Group Project Presentations
Course Summary and Further Learning Resources
This course would ideally mix theoretical lectures with practical exercises and case studies. Each session should include hands-on SQL practice, progressively building in complexity. The final capstone project should involve a comprehensive business-related database task, requiring students to apply all the skills learned throughout the course. This structure ensures that MBA students not only understand the technical aspects of SQL and database management but also how to apply these skills in a business context.
-50%
Beginner
Machine Learning and Artificial Intelligence in Business – Driving Business Innovation with AI and Machine Learning
₹1,499.00₹3,000.00
Machine Learning and Artificial Intelligence in Business – Driving Business Innovation with AI and Machine Learning
What you'll learn
Week 1: Introduction to AI and Machine Learning (4 Hours)
Session 1 (2 Hours): Introduction to AI and Machine Learning in Business
Overview of AI and Machine Learning
Historical Context and Evolution of AI
Key Concepts and Terminology
Session 2 (2 Hours): Understanding Machine Learning Models
Types of Machine Learning: Supervised, Unsupervised, Reinforcement
Introduction to Algorithms and Model Selection
Basic Tools and Software Overview (e.g., Python, TensorFlow)
Week 2: Data Management and Preprocessing (6 Hours)
Session 3 (2 Hours): Data Collection and Management
Understanding Data Types and Sources
Data Collection and Storage Strategies
Ethics and Privacy in Data Handling
Session 4 (2 Hours): Data Preprocessing and Feature Engineering
Data Cleaning and Transformation
Feature Selection and Engineering Techniques
Introduction to Data Visualization Tools
Session 5 (2 Hours): Exploratory Data Analysis (EDA)
Techniques for EDA
Identifying Patterns and Anomalies in Data
Using EDA Tools and Libraries
Week 3: Building and Evaluating Models (6 Hours)
Session 6 (2 Hours): Supervised Learning Techniques
Introduction to Regression and Classification Models
Building and Training Models
Case Studies in Business Applications
Session 7 (2 Hours): Unsupervised Learning and Clustering
Overview of Clustering Techniques
Dimensionality Reduction Methods
Practical Applications in Market Segmentation
Session 8 (2 Hours): Model Evaluation and Tuning
Techniques for Evaluating Model Performance
Overfitting, Underfitting, and Model Tuning
Cross-Validation and Hyperparameter Tuning
Week 4: Advanced Topics and Business Applications (4 Hours)
Session 9 (2 Hours): Advanced Topics in AI and ML
Introduction to Neural Networks and Deep Learning
AI in Natural Language Processing and Computer Vision
Emerging Trends and Future of AI in Business
Session 10 (2 Hours): Strategic Implementation and Capstone Project
Strategies for Implementing AI and ML in Business
Ethical Considerations and AI Governance
Capstone Project Presentation and Course Wrap-Up
The course would ideally blend lectures with hands-on exercises, case studies, and project work. The capstone project should involve applying AI and ML concepts to a real-world business problem, encouraging students to think critically about the strategic application of these technologies in a corporate setting. This structure ensures that MBA students gain not only the technical knowledge of AI and ML but also understand how to leverage these technologies for strategic advantage in various business sectors.
Featured
-54%
Mastering the Art of Effective Presentations
What you'll learn
Understand the key principles of effective presentation design and delivery.
Develop skills to structure and organize presentation content coherently.
Learn techniques for designing visually appealing and impactful slides.
Enhance verbal and non-verbal communication skills for effective delivery.
Manage public speaking anxiety and build confidence in presenting.
Master the art of engaging and interacting with diverse audiences.
Adapt presentation styles to suit different cultural contexts and settings.
Utilize various tools and technologies to enhance presentation effectiveness.
Receive and provide constructive feedback to refine presentation skills.
Apply learned presentation skills in real-life scenarios and case studies.
Trending
-59%
Time Management and Productivity
What you'll learn
Module 1: Fundamentals of Time Management (4 hours)
Session 1.1: Understanding Time Management (2 hours)
Introduction to time management and its importance
Self-assessment: Personal time management evaluation
Principles of effective time management
Session 1.2: Setting Goals and Priorities (2 hours)
Techniques for setting SMART goals
Prioritizing tasks using methods like Eisenhower Matrix
Exercise: Setting personal and professional goals
Module 2: Planning and Organizing (4 hours)
Session 2.1: Strategic Planning and Scheduling (2 hours)
Creating effective plans and schedules
Tools for planning (calendars, planners, apps)
Activity: Developing a weekly plan
Session 2.2: Organizational Skills for Productivity (2 hours)
Techniques for organizing work and personal spaces
Systems for managing paperwork and digital files
Workshop: Organizational system setup
Module 3: Overcoming Time Management Challenges (4 hours)
Session 3.1: Managing Distractions and Interruptions (2 hours)
Identifying and dealing with common distractions
Strategies for managing interruptions
Group discussion: Sharing experiences and strategies
Session 3.2: Dealing with Procrastination (2 hours)
Understanding the psychology of procrastination
Strategies to overcome procrastination
Exercise: Implementing anti-procrastination techniques
Module 4: Advanced Time Management Techniques (4 hours)
Session 4.1: Leveraging Technology for Time Management (2 hours)
Exploring time management and productivity tools
Integrating technology effectively into time management strategies
Hands-on session: Using productivity apps
Session 4.2: Time Management for Teams (2 hours)
Collaborative time management techniques
Managing team deadlines and priorities
Role-play: Leading a time-sensitive project
Module 5: Building and Sustaining Productivity Habits (4 hours)
Session 5.1: Developing Personal Productivity Habits (2 hours)
Building and maintaining productive habits
Techniques for continuous self-improvement
Workshop: Habit formation and tracking
Session 5.2: Integrating Time Management into Daily Life (2 hours)
Applying time management skills in real-life scenarios
Work-life balance and maintaining productivity
Group activity: Developing a personal time management plan
Additional Elements:
Guest Speakers: Time management experts or professionals sharing personal experiences and tips.
Interactive Activities: Workshops, group discussions, and role-plays.
Assignments: Time audits, goal setting exercises, and productivity plan development.
Feedback and Assessment: Peer reviews, instructor feedback, and a final presentation or report on personal time management strategies.
This course aims to provide MBA students with the skills and techniques necessary to effectively manage their time, increase productivity, and maintain a healthy work-life balance.
-63%
Beginner
Enterprise Resource Planning (ERP) Systems – Integrating Efficiency with ERP System Expertise
₹1,499.00₹4,000.00
Enterprise Resource Planning (ERP) Systems – Integrating Efficiency with ERP System Expertise
What you'll learn
Week 1: Introduction to ERP Systems (4 Hours)
Session 1 (2 Hours): Fundamentals of ERP Systems
Overview of ERP Systems and Their Evolution
Key Components and Architecture of ERP Systems
Role and Benefits of ERP in Business Integration
Session 2 (2 Hours): Types of ERP Systems and Vendors
Overview of Major ERP Systems (e.g., SAP, Oracle, Microsoft Dynamics)
Cloud-based vs. On-premises ERP Solutions
Selecting an ERP System: Factors to Consider
Week 2: ERP Implementation and Modules (6 Hours)
Session 3 (2 Hours): ERP Implementation Process
Steps in ERP Implementation
Project Planning and Management for ERP Implementation
Risk Management in ERP Projects
Session 4 (2 Hours): Functional Modules of ERP Systems
In-depth Look at Key ERP Modules (Finance, HR, Supply Chain, etc.)
Integration of ERP Modules in Business Processes
Hands-on Exercise with a Simulated ERP Environment
Session 5 (2 Hours): ERP System Customization and Configuration
Customization vs. Configuration in ERP Systems
Best Practices in ERP System Customization
Case Studies on Successful ERP Customizations
Week 3: ERP and Business Process Integration (6 Hours)
Session 6 (2 Hours): Business Process Reengineering and ERP
Understanding Business Process Reengineering (BPR)
Aligning ERP Systems with Business Processes
Impact of ERP on Organizational Structure and Culture
Session 7 (2 Hours): ERP System Upgrades and Maintenance
Managing ERP System Upgrades
Routine Maintenance and Support for ERP Systems
Training and User Support Strategies
Session 8 (2 Hours): Data Management and Analytics in ERP
Role of ERP in Data Management and Business Intelligence
Leveraging ERP Data for Analytics and Decision Making
Case Study on ERP-Enabled Business Analytics
Week 4: Advanced Topics and Emerging Trends (4 Hours)
Session 9 (2 Hours): Emerging Trends in ERP
ERP in the Era of Big Data and IoT
Mobile ERP and Cloud Computing Trends
Future Outlook of ERP Systems
Session 10 (2 Hours): Capstone Project and Course Wrap-Up
Group Project on ERP Implementation Strategy
Presentations and Discussions on ERP Case Studies
Course Summary and Discussion on Further Learning Opportunities
The course would ideally blend theoretical insights with practical, hands-on exercises, possibly using an ERP simulation tool or case studies. The final capstone project should involve applying ERP concepts to a real-world business scenario, encouraging students to think strategically about the use of ERP systems in an organizational context. This structure ensures that MBA students gain a comprehensive understanding of ERP systems, their implementation challenges, and their strategic value in business operations.
-50%
Beginner
Power BI tailored for MBA students – Power BI for Future Business Leaders
₹1,499.00₹3,000.00
Power BI tailored for MBA students – Power BI for Future Business Leaders
What you'll learn
Week 1: Introduction and Basics of Power BI (4 Hours)
Session 1 (2 Hours): Introduction to Business Intelligence and Power BI
Overview of Business Intelligence (BI)
Introduction to Power BI and its position in the market
Installing Power BI Desktop
Basic Navigation and Interface Overview
Session 2 (2 Hours): Getting Started with Power BI
Connecting to Data Sources
Basic Data Import and Transformation using Power Query
Introduction to Data Modeling
Week 2: Data Analysis and Visualization (6 Hours)
Session 3 (2 Hours): Deep Dive into Data Analysis
Advanced-Data Transformation Techniques
Understanding Data Types and Categories
Introduction to DAX (Data Analysis Expressions) Basics
Session 4 (2 Hours): Creating Basic Visuals
Exploring Various Visualization Types
Creating and Customizing Charts and Graphs
Using Slicers and Filters for Interactive Reports
Session 5 (2 Hours): Advanced Visualization Techniques
Advanced DAX for Complex Calculations
Creating Interactive Dashboards
Best Practices for Data Visualization
Week 3: Reporting and Dashboarding (6 Hours)
Session 6 (2 Hours): Effective Reporting
Designing Compelling Reports
Storytelling with Data
Incorporating MBA Concepts into Reports (e.g., Financial Ratios, Market Analysis)
Session 7 (2 Hours): Advanced Dashboard Features
Drill-through and Drill-down Capabilities
Conditional Formatting and Data Alerts
Q&A and Natural Language Queries
Session 8 (2 Hours): Publishing and Sharing
Publishing Reports to Power BI Service
Sharing Dashboards and Reports
Collaboration Features in Power BI
Week 4: Integration and Real-World Application (4 Hours)
Session 9 (2 Hours): Integrating Power BI with Other Tools
Integration with Excel and Other Microsoft Services
Connecting Power BI to External Databases
Overview of APIs and Embedded Analytics
Session 10 (2 Hours): Capstone Project and Course Wrap-up
Applying Skills to a Real-World Business Case
Creating a Full Report and Dashboard from Scratch
Course Recap and Further Learning Resources
Each session can include a mix of lectures, hands-on exercises, and real-world case studies to ensure that students not only learn the technical aspects of Power BI but also understand how to apply these skills in a business context. The capstone project in the final session should ideally be a comprehensive task that requires students to apply all the skills they've learned throughout the course.
Featured
-39%
Mastering Hard Skills in the Modern Business World
What you'll learn
Develop a solid foundation in key business-related hard skills.
Gain proficiency in data analysis and interpretation.
Enhance financial literacy and understanding of financial statements.
Master project management tools and techniques.
Develop expertise in essential software and technological tools used in businesses.
Enhance problem-solving and critical thinking skills.
Apply hard skills to real-world business scenarios through case studies and hands-on exercises.
Understand the integration of various hard skills for holistic professional development.
Stay updated with the latest trends and advancements in business-related hard skills.
Prepare for successful careers in diverse fields with enhanced hard skill sets.
-63%
Intermediate
Digital Marketing Analytics – Metrics to Strategy: Mastering Online Impact
₹1,500.00₹4,000.00
Digital Marketing Analytics – Metrics to Strategy: Mastering Online Impact
What you'll learn
Week 1: Introduction to Digital Marketing and Analytics (4 Hours)
Session 1 (2 Hours): Fundamentals of Digital Marketing
Overview of Digital Marketing Landscape
Key Digital Marketing Channels (SEO, PPC, Social Media, Email Marketing)
Introduction to Digital Marketing Strategy
Session 2 (2 Hours): Basics of Digital Marketing Analytics
Role of Analytics in Digital Marketing
Understanding Key Metrics and KPIs
Introduction to Analytics Tools (e.g., Google Analytics)
Week 2: Analytics Tools and Techniques (6 Hours)
Session 3 (2 Hours): Web Analytics
In-depth Exploration of Google Analytics
Tracking Website Traffic and User Behavior
Analyzing and Interpreting Web Data
Session 4 (2 Hours): Social Media Analytics
Overview of Social Media Analytics Tools
Measuring Engagement and Performance on Different Platforms
Case Studies in Social Media Analytics
Session 5 (2 Hours): SEO and Content Analytics
SEO Tools and Techniques for Analysis
Content Performance Metrics and Analysis
Integrating SEO and Content Strategy with Overall Digital Marketing
Week 3: Advanced Analytics and Data-Driven Strategies (6 Hours)
Session 6 (2 Hours): Email Marketing and CRM Analytics
Analyzing Email Marketing Campaigns
Integrating CRM Data for Enhanced Insights
Personalization and Segmentation Strategies
Session 7 (2 Hours): PPC and Paid Media Analytics
Analyzing and Optimizing PPC Campaigns
Understanding Attribution Models in Paid Media
Budget Allocation and ROI Calculation
Session 8 (2 Hours): Data Visualization and Reporting
Tools for Creating Marketing Dashboards (e.g., Tableau, Power BI)
Visualizing Marketing Data for Insights
Preparing and Presenting Marketing Reports
Week 4: Practical Application and Capstone Project (4 Hours)
Session 9 (2 Hours): Integrating Digital Marketing Analytics into Business Strategy
Developing Data-Driven Marketing Strategies
Case Studies of Successful Digital Marketing Campaigns
Discussion on Ethical Considerations in Digital Marketing
Session 10 (2 Hours): Capstone Project and Course Wrap-Up
Group Project: Creating a Digital Marketing Analytics Strategy for a Real-World Business Scenario
Project Presentations and Feedback
Course Summary and Future Learning Pathways
This course would ideally blend theoretical instruction with practical, hands-on exercises using real-life case studies and analytics tools. The capstone project should be a comprehensive exercise where students apply analytics concepts to develop a digital marketing strategy for a business case, providing practical experience in utilizing analytics for strategic decision-making. This structure ensures that MBA students gain not only technical skills in digital marketing analytics but also understand how to apply these insights in a broader business context.
-63%
Beginner
Microsoft Excel Power Query, Power Pivot & DAX – Excel Advanced Tools: Power Query, Pivot & DAX Mastery
₹1,500.00₹4,000.00
Microsoft Excel Power Query, Power Pivot & DAX – Excel Advanced Tools: Power Query, Pivot & DAX Mastery
What you'll learn
Week 1: Introduction to Power Query and Data Manipulation (4 Hours)
Session 1 (2 Hours): Fundamentals of Power Query
Introduction to Power Query and its Business Applications
Navigating the Power Query Interface
Basic Data Importing and Transformation Techniques
Session 2 (2 Hours): Advanced Data Handling in Power Query
Merging and Appending Queries
Working with Different Data Sources (Web, SQL, etc.)
Advanced Data Transformations and Cleaning Techniques
Week 2: Power Pivot and Data Modeling (6 Hours)
Session 3 (2 Hours): Introduction to Power Pivot
Overview of Power Pivot and its Role in Data Analysis
Creating Data Models in Power Pivot
Understanding Relationships and Data Model Optimization
Session 4 (2 Hours): Advanced Data Modeling in Power Pivot
Working with Large Datasets
Creating Complex Relationships and Hierarchies
Introduction to Key Performance Indicators (KPIs) in Power Pivot
Session 5 (2 Hours): PivotTables and PivotCharts with Power Pivot
Building Advanced PivotTables and PivotCharts
Using Slicers and Timelines for Interactive Reports
Combining Power Query and Power Pivot for Analysis
Week 3: Introduction to DAX (Data Analysis Expressions) (6 Hours)
Session 6 (2 Hours): Basics of DAX
Understanding DAX and its Syntax
Basic DAX Functions and Formulas
Creating Calculated Columns and Measures
Session 7 (2 Hours): Advanced DAX Functions
Time Intelligence Functions
Advanced DAX Formulas for Complex Calculations
Understanding Context in DAX (Row vs. Filter Context)
Session 8 (2 Hours): Practical DAX Applications
Applying DAX in Real-World Business Scenarios
Using DAX for Data Analysis and Reporting
Hands-On Exercises and Case Studies
Week 4: Integrating Skills and Capstone Project (4 Hours)
Session 9 (2 Hours): Integrating Power Query, Power Pivot, and DAX
Combining Skills for Comprehensive Data Analysis
Best Practices for Building Scalable and Efficient Excel Models
Addressing Common Business Data Analysis Challenges
Session 10 (2 Hours): Capstone Project and Course Wrap-Up
Applying Learned Skills to a Real-World Business Problem
Group Project Presentation and Review
Course Summary and Pathways for Further Learning
The course should include a mix of theoretical instruction, practical demonstrations, and hands-on exercises. The capstone project in the final week should involve a comprehensive business analysis task, enabling students to apply their newly acquired skills in Power Query, Power Pivot, and DAX to a real-world business scenario. This structure ensures that MBA students not only learn advanced Excel features but also understand how to apply these tools strategically for business analysis and decision-making.
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Mastering Soft Skills for Business Success
What you'll learn
Understand the importance and impact of soft skills in the business world.
Develop effective communication and interpersonal skills.
Enhance emotional intelligence for better relationship management.
Cultivate a growth mindset for continuous learning and development.
Master time management and organizational skills.
Build resilience and stress management capabilities.
Enhance critical thinking and problem-solving skills.
Foster a culture of empathy and understanding in a leadership role.
Improve negotiation and conflict resolution skills.
Prepare for a successful career by integrating soft skills into your professional life.
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Database Management and SQL – Structured Data Mastery: SQL & Beyond
What you'll learn
Week 1: Introduction to Databases and SQL (4 Hours)
Session 1 (2 Hours): Fundamentals of Database Systems
Overview of Database Management Systems (DBMS)
Types of Databases: Relational vs. Non-Relational
Basic Database Terminology and Concepts
Session 2 (2 Hours): Introduction to SQL
Understanding SQL and its Role in Databases
Basic SQL Syntax and Commands
Setting Up a SQL Environment (e.g., MySQL, PostgreSQL)
Week 2: SQL for Data Retrieval (6 Hours)
Session 3 (2 Hours): Basic SQL Queries
SELECT Statements, WHERE Clauses
Working with Columns and Rows
Sorting and Filtering Data
Session 4 (2 Hours): Advanced Data Retrieval
JOIN Operations: Combining Data from Multiple Tables
Aggregating Data with GROUP BY and HAVING Clauses
Subqueries and Nested Queries
Session 5 (2 Hours): Practical SQL Exercises
Hands-on SQL Query Exercises
Case Studies on Data Retrieval in Business Scenarios
Week 3: Database Design and Data Manipulation (6 Hours)
Session 6 (2 Hours): Database Design Principles
Understanding Data Modeling and Entity-Relationship Diagrams
Normalization and Database Schemas
Creating Tables and Setting Primary/Foreign Keys
Session 7 (2 Hours): SQL for Data Manipulation and Management
INSERT, UPDATE, and DELETE Operations
Data Integrity and Transactions
Basics of Stored Procedures and Functions
Session 8 (2 Hours): Working with Real-World Data
Importing and Exporting Data
SQL for Business Analytics and Reporting
Integrating SQL Queries with Business Intelligence Tools
Week 4: Advanced Topics and Practical Applications (4 Hours)
Session 9 (2 Hours): Advanced SQL and Performance Optimization
Advanced SQL Features (e.g., Window Functions, Indexing)
Query Optimization Techniques
Understanding SQL Execution Plans
Session 10 (2 Hours): Capstone Project and Course Wrap-Up
Applying SQL Skills to a Real Business Case
Group Project Presentations
Course Summary and Further Learning Resources
This course would ideally mix theoretical lectures with practical exercises and case studies. Each session should include hands-on SQL practice, progressively building in complexity. The final capstone project should involve a comprehensive business-related database task, requiring students to apply all the skills learned throughout the course. This structure ensures that MBA students not only understand the technical aspects of SQL and database management but also how to apply these skills in a business context.
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Machine Learning and Artificial Intelligence in Business – Driving Business Innovation with AI and Machine Learning
₹1,499.00₹3,000.00
Machine Learning and Artificial Intelligence in Business – Driving Business Innovation with AI and Machine Learning
What you'll learn
Week 1: Introduction to AI and Machine Learning (4 Hours)
Session 1 (2 Hours): Introduction to AI and Machine Learning in Business
Overview of AI and Machine Learning
Historical Context and Evolution of AI
Key Concepts and Terminology
Session 2 (2 Hours): Understanding Machine Learning Models
Types of Machine Learning: Supervised, Unsupervised, Reinforcement
Introduction to Algorithms and Model Selection
Basic Tools and Software Overview (e.g., Python, TensorFlow)
Week 2: Data Management and Preprocessing (6 Hours)
Session 3 (2 Hours): Data Collection and Management
Understanding Data Types and Sources
Data Collection and Storage Strategies
Ethics and Privacy in Data Handling
Session 4 (2 Hours): Data Preprocessing and Feature Engineering
Data Cleaning and Transformation
Feature Selection and Engineering Techniques
Introduction to Data Visualization Tools
Session 5 (2 Hours): Exploratory Data Analysis (EDA)
Techniques for EDA
Identifying Patterns and Anomalies in Data
Using EDA Tools and Libraries
Week 3: Building and Evaluating Models (6 Hours)
Session 6 (2 Hours): Supervised Learning Techniques
Introduction to Regression and Classification Models
Building and Training Models
Case Studies in Business Applications
Session 7 (2 Hours): Unsupervised Learning and Clustering
Overview of Clustering Techniques
Dimensionality Reduction Methods
Practical Applications in Market Segmentation
Session 8 (2 Hours): Model Evaluation and Tuning
Techniques for Evaluating Model Performance
Overfitting, Underfitting, and Model Tuning
Cross-Validation and Hyperparameter Tuning
Week 4: Advanced Topics and Business Applications (4 Hours)
Session 9 (2 Hours): Advanced Topics in AI and ML
Introduction to Neural Networks and Deep Learning
AI in Natural Language Processing and Computer Vision
Emerging Trends and Future of AI in Business
Session 10 (2 Hours): Strategic Implementation and Capstone Project
Strategies for Implementing AI and ML in Business
Ethical Considerations and AI Governance
Capstone Project Presentation and Course Wrap-Up
The course would ideally blend lectures with hands-on exercises, case studies, and project work. The capstone project should involve applying AI and ML concepts to a real-world business problem, encouraging students to think critically about the strategic application of these technologies in a corporate setting. This structure ensures that MBA students gain not only the technical knowledge of AI and ML but also understand how to leverage these technologies for strategic advantage in various business sectors.
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Mastering the Art of Effective Presentations
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Understand the key principles of effective presentation design and delivery.
Develop skills to structure and organize presentation content coherently.
Learn techniques for designing visually appealing and impactful slides.
Enhance verbal and non-verbal communication skills for effective delivery.
Manage public speaking anxiety and build confidence in presenting.
Master the art of engaging and interacting with diverse audiences.
Adapt presentation styles to suit different cultural contexts and settings.
Utilize various tools and technologies to enhance presentation effectiveness.
Receive and provide constructive feedback to refine presentation skills.
Apply learned presentation skills in real-life scenarios and case studies.
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Acquire a comprehensive understanding of financial modeling principles and techniques.
Develop proficiency in Excel for financial analysis and modeling.
Learn to construct and interpret financial statements within a modeling context.
Master the art of building various types of financial models including DCF, M&A, and LBO models.
Enhance skills in conducting sensitivity and scenario analysis.
Gain insights into best practices for model design, structure, and validation.
Understand the role of financial modeling in investment analysis and business valuation.
Develop the ability to communicate and present modeling results effectively to stakeholders.
Apply financial modeling techniques to real-world business scenarios and case studies.
Cultivate critical thinking and problem-solving skills in financial decision-making.
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Gain a comprehensive understanding of foundational and advanced statistical concepts.
Develop proficiency in using statistical software for data analysis.
Learn to apply descriptive and inferential statistical methods in business contexts.
Enhance skills in interpreting statistical results and making data-informed decisions.
Build competency in conducting hypothesis testing and regression analysis.
Understand the importance of data visualization in presenting statistical findings.
Develop a critical mindset to assess the reliability and validity of statistical analyses.
Learn strategies to handle missing data and outliers in datasets.
Acquire skills to perform multivariate statistical analysis.
Apply statistical knowledge in real-world business scenarios through case studies and projects.
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Develop the ability to think strategically and envision future possibilities.
Enhance emotional intelligence to connect, inspire, and lead teams effectively.
Learn to communicate visions and strategies compellingly.
Foster innovation and creativity within teams and organizations.
Understand the ethical responsibilities and challenges associated with visionary leadership.
Build resilience and adaptability to lead through change and uncertainty.
Develop skills to align and motivate diverse teams towards common visions and goals.
Learn from real-world case studies of successful visionary leaders.
Apply visionary leadership principles in practical, real-life scenarios through exercises and discussions.
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Understand the key principles of effective presentation design and delivery.
Develop skills to structure and organize presentation content coherently.
Learn techniques for designing visually appealing and impactful slides.
Enhance verbal and non-verbal communication skills for effective delivery.
Manage public speaking anxiety and build confidence in presenting.
Master the art of engaging and interacting with diverse audiences.
Adapt presentation styles to suit different cultural contexts and settings.
Utilize various tools and technologies to enhance presentation effectiveness.
Receive and provide constructive feedback to refine presentation skills.
Apply learned presentation skills in real-life scenarios and case studies.
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Mastering Soft Skills for Business Success
Introduction: In the dynamically evolving world of business, the importance …
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What you'll learn
Understand the importance and impact of soft skills in the business world.
Develop effective communication and interpersonal skills.
Enhance emotional intelligence for better relationship management.
Cultivate a growth mindset for continuous learning and development.
Master time management and organizational skills.
Build resilience and stress management capabilities.
Enhance critical thinking and problem-solving skills.
Foster a culture of empathy and understanding in a leadership role.
Improve negotiation and conflict resolution skills.
Prepare for a successful career by integrating soft skills into your professional life.
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What you'll learn
Develop a solid foundation in key business-related hard skills.
Gain proficiency in data analysis and interpretation.
Enhance financial literacy and understanding of financial statements.
Master project management tools and techniques.
Develop expertise in essential software and technological tools used in businesses.
Enhance problem-solving and critical thinking skills.
Apply hard skills to real-world business scenarios through case studies and hands-on exercises.
Understand the integration of various hard skills for holistic professional development.
Stay updated with the latest trends and advancements in business-related hard skills.
Prepare for successful careers in diverse fields with enhanced hard skill sets.
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Mastering Soft Skills for Business Success
Introduction: In the dynamically evolving world of business, the importance …
What you'll learn
Understand the importance and impact of soft skills in the business world.
Develop effective communication and interpersonal skills.
Enhance emotional intelligence for better relationship management.
Cultivate a growth mindset for continuous learning and development.
Master time management and organizational skills.
Build resilience and stress management capabilities.
Enhance critical thinking and problem-solving skills.
Foster a culture of empathy and understanding in a leadership role.
Improve negotiation and conflict resolution skills.
Prepare for a successful career by integrating soft skills into your professional life.
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Mastering Hard Skills in the Modern Business World
Introduction: The global business environment is becoming increasingly competitive, and …
What you'll learn
Develop a solid foundation in key business-related hard skills.
Gain proficiency in data analysis and interpretation.
Enhance financial literacy and understanding of financial statements.
Master project management tools and techniques.
Develop expertise in essential software and technological tools used in businesses.
Enhance problem-solving and critical thinking skills.
Apply hard skills to real-world business scenarios through case studies and hands-on exercises.
Understand the integration of various hard skills for holistic professional development.
Stay updated with the latest trends and advancements in business-related hard skills.
Prepare for successful careers in diverse fields with enhanced hard skill sets.
