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.
-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.
-64%
QlikView/Qlik Sense Training – Interactive Data Discovery with Qlik
What you'll learn
Week 1: Introduction to QlikView and Qlik Sense (4 Hours)
Session 1 (2 Hours): Fundamentals of QlikView and Qlik Sense
Overview of QlikView and Qlik Sense: Features and Differences
The Role of Qlik in Business Intelligence and Data Visualization
Installing and Setting Up QlikView and Qlik Sense
Session 2 (2 Hours): Basics of Data Loading and Modeling
Connecting to Data Sources
Basic Data Modeling Techniques in Qlik
Understanding Qlik’s Associative Model
Week 2: Data Visualization and Dashboard Creation (6 Hours)
Session 3 (2 Hours): Creating Basic Visualizations
Exploring Chart Types and Visualization Options
Designing Interactive Dashboards in Qlik Sense
Best Practices for Effective Data Presentation
Session 4 (2 Hours): Advanced Visualization Techniques
Utilizing Advanced Chart Types and Custom Visualizations
Implementing Set Analysis for Comparative Analysis
Hands-on Practice with Complex Dashboard Creation
Session 5 (2 Hours): Storytelling and Reporting in Qlik
Using Qlik Sense for Storytelling and Report Generation
Integrating Narrative into Dashboards
Exporting Reports and Visualizations
Week 3: Advanced Topics in QlikView and Qlik Sense (6 Hours)
Session 6 (2 Hours): Advanced Data Modeling
Advanced Data Transformation Techniques
Scripting in QlikView for Custom Data Models
Complex Data Structures and Optimization Techniques
Session 7 (2 Hours): Set Analysis and Data Exploration
Deep Dive into Set Analysis for Complex Data Queries
Dynamic Data Exploration Techniques
Hands-on Exercises on Data Exploration
Session 8 (2 Hours): Integrating Qlik with External Data Sources
Connecting to Various Data Sources (SQL, Web, APIs)
Implementing Data Security and Governance
Best Practices for Data Integration
Week 4: Practical Applications and Capstone Project (4 Hours)
Session 9 (2 Hours): Applying Qlik in Business Scenarios
Case Studies: How Businesses Leverage Qlik for Analytics
Discussing Real-World Business Problems and Solutions
Ethical Considerations in Data Visualization
Session 10 (2 Hours): Capstone Project and Course Wrap-Up
Developing a Comprehensive Qlik Project based on Real Business Data
Presentation and Review of Capstone Projects
Course Summary and Future Learning Opportunities
The course should be a mix of lectures, demonstrations, and practical exercises, with a focus on applying QlikView/Qlik Sense skills to business analytics scenarios. The capstone project in the final week would allow students to apply their learning to develop a full-scale business intelligence solution, ensuring they not only know how to use Qlik tools but also understand their strategic application in business.
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.
-50%
R for Data Science – Data Science Proficiency with R
What you'll learn
Week 1: Introduction to R and Basic Concepts (4 Hours)
Session 1 (2 Hours): Getting Started with R
Introduction to R and its Importance in Data Science
Setting Up the R Environment (R and RStudio Installation)
Basic Syntax, Variables, and Data Types in R
Session 2 (2 Hours): Data Manipulation Basics
Reading and Writing Data in R
Introduction to Data Manipulation with dplyr
Basic Data Cleaning Techniques
Week 2: Data Analysis and Visualization in R (6 Hours)
Session 3 (2 Hours): Exploratory Data Analysis (EDA)
Conducting EDA with R
Descriptive Statistics and Summarization
Handling Missing Values and Outliers
Session 4 (2 Hours): Data Visualization with ggplot2
Basics of ggplot2 for Data Visualization
Creating Various Types of Plots (Bar, Line, Scatter, Histogram)
Customizing Plots for Clarity and Aesthetics
Session 5 (2 Hours): Advanced Data Visualization
Advanced ggplot2 Features
Interactive Visualization with Plotly
Creating Dashboards and Reports
Week 3: Statistical Modeling and Machine Learning in R (6 Hours)
Session 6 (2 Hours): Introduction to Statistical Modeling
Linear Regression Analysis
Logistic Regression for Categorical Data
Model Diagnostics and Interpretation
Session 7 (2 Hours): Machine Learning Basics in R
Introduction to Machine Learning with R
Building Classification and Regression Models
Evaluating Model Performance
Session 8 (2 Hours): Advanced Topics in Machine Learning
Decision Trees and Random Forests
Clustering Techniques (k-means, Hierarchical)
Introduction to Text Mining and Sentiment Analysis
Week 4: Business Applications and Capstone Project (4 Hours)
Session 9 (2 Hours): R in Business Contexts
Case Studies: Real-World Applications of R in Business
Data-Driven Decision-Making in Business
Ethical Considerations in Data Science
Session 10 (2 Hours): Capstone Project and Course Wrap-Up
Applying R Skills to a Business-Related Data Science Project
Presentation and Discussion of Capstone Projects
Course Summary and Recommendations for Further Learning
The course should include a mix of theoretical instruction, practical demonstrations, and hands-on exercises using R. The capstone project in the final week should involve applying R skills to a real-world business problem, enabling students to demonstrate their ability to use R for data-driven decision-making in a business context.
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.
-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.
-64%
SAS Analytics Training – Mastering Analytics with SAS
What you'll learn
Week 1: Introduction to SAS and Basic Data Handling (4 Hours)
Session 1 (2 Hours): Introduction to SAS
Overview of SAS Software: History and Industry Applications
Navigating the SAS Environment (SAS Studio, SAS Enterprise Guide)
Basic Syntax and Commands in SAS
Session 2 (2 Hours): Data Management Basics in SAS
Importing and Exporting Data in SAS
Data Manipulation Techniques (SORT, SET, MERGE)
Introduction to SAS Libraries and Data Sets
Week 2: Data Analysis and Reporting in SAS (6 Hours)
Session 3 (2 Hours): Descriptive Statistics and Data Summarization
Generating Descriptive Statistics in SAS (MEANS, FREQ, SUMMARY)
Data Summarization Techniques
Creating Basic Reports and Outputs
Session 4 (2 Hours): Data Visualization in SAS
Introduction to SAS Graphical Procedures (SGPLOT, SGPANEL)
Creating Charts and Graphs for Data Presentation
Customizing Visual Outputs in SAS
Session 5 (2 Hours): Advanced Data Analysis Techniques
Conducting Correlation and Regression Analysis
ANOVA and Other Statistical Tests
Introduction to Predictive Modeling in SAS
Week 3: Advanced SAS Programming and Analytics (6 Hours)
Session 6 (2 Hours): Advanced Data Manipulation
Advanced SAS Functions and Procedures
Data Cleaning and Preprocessing Techniques
Working with Dates and Times in SAS
Session 7 (2 Hours): SQL Programming in SAS
Introduction to PROC SQL for Data Querying
Combining SAS Datasets with SQL Joins
Advanced SQL Queries in SAS
Session 8 (2 Hours): Macro Programming in SAS
Basics of SAS Macro Language
Automating Tasks with Macros
Building and Using Macro Variables
Week 4: Business Applications and Capstone Project (4 Hours)
Session 9 (2 Hours): SAS in Business Contexts
Case Studies: SAS Applications in Finance, Marketing, and Operations
Discussing Ethical Implications of Data Analytics
Integrating SAS Analysis into Business Decision-Making
Session 10 (2 Hours): Capstone Project and Course Wrap-Up
Applying SAS Skills to a Real-World Business Problem
Presenting Capstone Project Findings
Course Summary and Recommendations for Continued Learning
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.
-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.
-64%
QlikView/Qlik Sense Training – Interactive Data Discovery with Qlik
What you'll learn
Week 1: Introduction to QlikView and Qlik Sense (4 Hours)
Session 1 (2 Hours): Fundamentals of QlikView and Qlik Sense
Overview of QlikView and Qlik Sense: Features and Differences
The Role of Qlik in Business Intelligence and Data Visualization
Installing and Setting Up QlikView and Qlik Sense
Session 2 (2 Hours): Basics of Data Loading and Modeling
Connecting to Data Sources
Basic Data Modeling Techniques in Qlik
Understanding Qlik’s Associative Model
Week 2: Data Visualization and Dashboard Creation (6 Hours)
Session 3 (2 Hours): Creating Basic Visualizations
Exploring Chart Types and Visualization Options
Designing Interactive Dashboards in Qlik Sense
Best Practices for Effective Data Presentation
Session 4 (2 Hours): Advanced Visualization Techniques
Utilizing Advanced Chart Types and Custom Visualizations
Implementing Set Analysis for Comparative Analysis
Hands-on Practice with Complex Dashboard Creation
Session 5 (2 Hours): Storytelling and Reporting in Qlik
Using Qlik Sense for Storytelling and Report Generation
Integrating Narrative into Dashboards
Exporting Reports and Visualizations
Week 3: Advanced Topics in QlikView and Qlik Sense (6 Hours)
Session 6 (2 Hours): Advanced Data Modeling
Advanced Data Transformation Techniques
Scripting in QlikView for Custom Data Models
Complex Data Structures and Optimization Techniques
Session 7 (2 Hours): Set Analysis and Data Exploration
Deep Dive into Set Analysis for Complex Data Queries
Dynamic Data Exploration Techniques
Hands-on Exercises on Data Exploration
Session 8 (2 Hours): Integrating Qlik with External Data Sources
Connecting to Various Data Sources (SQL, Web, APIs)
Implementing Data Security and Governance
Best Practices for Data Integration
Week 4: Practical Applications and Capstone Project (4 Hours)
Session 9 (2 Hours): Applying Qlik in Business Scenarios
Case Studies: How Businesses Leverage Qlik for Analytics
Discussing Real-World Business Problems and Solutions
Ethical Considerations in Data Visualization
Session 10 (2 Hours): Capstone Project and Course Wrap-Up
Developing a Comprehensive Qlik Project based on Real Business Data
Presentation and Review of Capstone Projects
Course Summary and Future Learning Opportunities
The course should be a mix of lectures, demonstrations, and practical exercises, with a focus on applying QlikView/Qlik Sense skills to business analytics scenarios. The capstone project in the final week would allow students to apply their learning to develop a full-scale business intelligence solution, ensuring they not only know how to use Qlik tools but also understand their strategic application in business.
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.
-50%
R for Data Science – Data Science Proficiency with R
What you'll learn
Week 1: Introduction to R and Basic Concepts (4 Hours)
Session 1 (2 Hours): Getting Started with R
Introduction to R and its Importance in Data Science
Setting Up the R Environment (R and RStudio Installation)
Basic Syntax, Variables, and Data Types in R
Session 2 (2 Hours): Data Manipulation Basics
Reading and Writing Data in R
Introduction to Data Manipulation with dplyr
Basic Data Cleaning Techniques
Week 2: Data Analysis and Visualization in R (6 Hours)
Session 3 (2 Hours): Exploratory Data Analysis (EDA)
Conducting EDA with R
Descriptive Statistics and Summarization
Handling Missing Values and Outliers
Session 4 (2 Hours): Data Visualization with ggplot2
Basics of ggplot2 for Data Visualization
Creating Various Types of Plots (Bar, Line, Scatter, Histogram)
Customizing Plots for Clarity and Aesthetics
Session 5 (2 Hours): Advanced Data Visualization
Advanced ggplot2 Features
Interactive Visualization with Plotly
Creating Dashboards and Reports
Week 3: Statistical Modeling and Machine Learning in R (6 Hours)
Session 6 (2 Hours): Introduction to Statistical Modeling
Linear Regression Analysis
Logistic Regression for Categorical Data
Model Diagnostics and Interpretation
Session 7 (2 Hours): Machine Learning Basics in R
Introduction to Machine Learning with R
Building Classification and Regression Models
Evaluating Model Performance
Session 8 (2 Hours): Advanced Topics in Machine Learning
Decision Trees and Random Forests
Clustering Techniques (k-means, Hierarchical)
Introduction to Text Mining and Sentiment Analysis
Week 4: Business Applications and Capstone Project (4 Hours)
Session 9 (2 Hours): R in Business Contexts
Case Studies: Real-World Applications of R in Business
Data-Driven Decision-Making in Business
Ethical Considerations in Data Science
Session 10 (2 Hours): Capstone Project and Course Wrap-Up
Applying R Skills to a Business-Related Data Science Project
Presentation and Discussion of Capstone Projects
Course Summary and Recommendations for Further Learning
The course should include a mix of theoretical instruction, practical demonstrations, and hands-on exercises using R. The capstone project in the final week should involve applying R skills to a real-world business problem, enabling students to demonstrate their ability to use R for data-driven decision-making in a business context.
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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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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.
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SAS Analytics Training – Mastering Analytics with SAS
What you'll learn
Week 1: Introduction to SAS and Basic Data Handling (4 Hours)
Session 1 (2 Hours): Introduction to SAS
Overview of SAS Software: History and Industry Applications
Navigating the SAS Environment (SAS Studio, SAS Enterprise Guide)
Basic Syntax and Commands in SAS
Session 2 (2 Hours): Data Management Basics in SAS
Importing and Exporting Data in SAS
Data Manipulation Techniques (SORT, SET, MERGE)
Introduction to SAS Libraries and Data Sets
Week 2: Data Analysis and Reporting in SAS (6 Hours)
Session 3 (2 Hours): Descriptive Statistics and Data Summarization
Generating Descriptive Statistics in SAS (MEANS, FREQ, SUMMARY)
Data Summarization Techniques
Creating Basic Reports and Outputs
Session 4 (2 Hours): Data Visualization in SAS
Introduction to SAS Graphical Procedures (SGPLOT, SGPANEL)
Creating Charts and Graphs for Data Presentation
Customizing Visual Outputs in SAS
Session 5 (2 Hours): Advanced Data Analysis Techniques
Conducting Correlation and Regression Analysis
ANOVA and Other Statistical Tests
Introduction to Predictive Modeling in SAS
Week 3: Advanced SAS Programming and Analytics (6 Hours)
Session 6 (2 Hours): Advanced Data Manipulation
Advanced SAS Functions and Procedures
Data Cleaning and Preprocessing Techniques
Working with Dates and Times in SAS
Session 7 (2 Hours): SQL Programming in SAS
Introduction to PROC SQL for Data Querying
Combining SAS Datasets with SQL Joins
Advanced SQL Queries in SAS
Session 8 (2 Hours): Macro Programming in SAS
Basics of SAS Macro Language
Automating Tasks with Macros
Building and Using Macro Variables
Week 4: Business Applications and Capstone Project (4 Hours)
Session 9 (2 Hours): SAS in Business Contexts
Case Studies: SAS Applications in Finance, Marketing, and Operations
Discussing Ethical Implications of Data Analytics
Integrating SAS Analysis into Business Decision-Making
Session 10 (2 Hours): Capstone Project and Course Wrap-Up
Applying SAS Skills to a Real-World Business Problem
Presenting Capstone Project Findings
Course Summary and Recommendations for Continued Learning
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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.
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Mastery in Financial Modeling
Welcome to “Mastery in Financial Modeling,” a specialized course designed …
Mastery in Financial Modeling
What you'll learn
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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Advanced Statistical Analysis for Business Success
Welcome to “Advanced Statistical Analysis for Business Success,” a comprehensive …
Advanced Statistical Analysis for Business Success
What you'll learn
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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Cultivating Visionary Leadership: A Strategic Approach
Welcome to “Cultivating Visionary Leadership: A Strategic Approach,” a captivating …
Cultivating Visionary Leadership: A Strategic Approach
What you'll learn
Understand the core principles and characteristics of visionary leadership.
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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Mastering the Art of Effective Presentations
Welcome to “Mastering the Art of Effective Presentations,” an extensive …
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.
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Mastering Soft Skills for Business Success
Introduction: In the dynamically evolving world of business, the importance …
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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Mastering Hard Skills in the Modern Business World
Introduction: The global business environment is becoming increasingly competitive, and …
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.
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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.
Featured
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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.
