-60%
Google Data Studio – Insights at a Glance with Google Data Studio
Google Data Studio – Insights at a Glance with Google …
What you'll learn
Week 1: Introduction to Google Data Studio and Data Visualization (4 Hours)
Session 1 (2 Hours): Fundamentals of Google Data Studio
Introduction to Business Intelligence and Data Visualization
Overview of Google Data Studio: Features and Capabilities
Setting Up and Navigating Google Data Studio
Session 2 (2 Hours): Connecting to Data Sources
Integrating Various Data Sources (Google Sheets, Analytics, SQL databases)
Understanding Data Source Fields and Data Types
Basic Data Transformations and Preparations
Week 2: Building Reports and Visualizations (6 Hours)
Session 3 (2 Hours): Creating Basic Reports and Charts
Designing Reports with Tables, Scorecards, and Basic Charts
Customizing Data Visualization Elements
Best Practices in Report Layout and Design
Session 4 (2 Hours): Advanced Visualization Techniques
Exploring Advanced Chart Types (e.g., Geo Maps, Scatter Charts)
Using Filters and Date Range Controls
Interactive Features in Reports (e.g., Drill Downs)
Session 5 (2 Hours): Enhancing Reports with Styling and Branding
Advanced Styling Options for Professional-Looking Reports
Adding Branding Elements and Custom Themes
Conditional Formatting for Enhanced Data Presentation
Week 3: Advanced Features and Business Applications (6 Hours)
Session 6 (2 Hours): Advanced Data Studio Features
Using Calculated Fields and Custom Formulas
Introduction to Blended Data and Data Joining
Implementing Row-Level Security and Access Controls
Session 7 (2 Hours): Data Exploration and Insights
Exploring Data with Explorer Mode
Using Data Studio for Business Analytics and Insights
Case Studies: Real-World Business Applications
Session 8 (2 Hours): Collaborating and Sharing in Data Studio
Collaborative Features in Google Data Studio
Sharing and Embedding Reports
Best Practices for Managing and Organizing Reports
Week 4: Practical Application and Capstone Project (4 Hours)
Session 9 (2 Hours): Integrating Google Data Studio in Business Strategy
Developing Data-Driven Business Strategies Using Reports
Discussing Ethical Considerations in Data Reporting
Strategies for Effective Data Storytelling in Business
Session 10 (2 Hours): Capstone Project and Course Wrap-Up
Developing a Comprehensive Business Intelligence Dashboard for a Real or Simulated Business Scenario
Presentation of Capstone Projects
Course Summary and Pathways for Further Learning
The course should include a mix of lectures, hands-on exercises, and case studies, with a strong emphasis on practical application using real-world business scenarios. The capstone project in the final week should involve creating a comprehensive business intelligence dashboard, allowing students to apply their learning in a realistic business context. This structure ensures MBA students not only acquire technical skills in Google Data Studio but also understand how to strategically apply these skills for business analysis and decision-making.
Free
Data Analytics and Statistical Analysis for MBA – From Data to Decisions: Advanced Statistical Techniques for MBAs
“Data Analytics and Statistical Analysis for MBA – From Data …
What you'll learn
Week 1: Introduction to Data Analytics and Basic Statistics (4 Hours)
Session 1 (2 Hours): Introduction to Data Analytics
Overview of Data Analytics in Business
Role of Data Analytics in Decision-Making
Introduction to Statistical Concepts
Session 2 (2 Hours): Basics of Descriptive Statistics
Measures of Central Tendency (Mean, Median, Mode)
Measures of Variability (Range, Variance, Standard Deviation)
Data Visualization Basics (Histograms, Box Plots)
Week 2: Exploratory Data Analysis and Inferential Statistics (6 Hours)
Session 3 (2 Hours): Exploratory Data Analysis (EDA)
EDA Techniques
Understanding Data Distributions
Introduction to Statistical Software (e.g., R, Python)
Session 4 (2 Hours): Probability and Probability Distributions
Basic Probability Concepts
Discrete and Continuous Distributions (e.g., Binomial, Normal)
Session 5 (2 Hours): Basics of Inferential Statistics
Sampling and Estimation
Hypothesis Testing Concepts
Introduction to Regression Analysis
Week 3: Advanced Statistical Techniques (6 Hours)
Session 6 (2 Hours): Linear Regression Analysis
Simple and Multiple Linear Regression
Interpreting Regression Output
Assumptions and Diagnostics in Regression
Session 7 (2 Hours): Time Series Analysis and Forecasting
Components of Time Series Data
Moving Averages, Smoothing Techniques
Introduction to ARIMA Models
Session 8 (2 Hours): Decision Trees and Clustering
Basics of Classification and Clustering
Introduction to Decision Trees
Basics of K-Means Clustering
Week 4: Application of Data Analytics in Business (4 Hours)
Session 9 (2 Hours): Data Analytics in Finance and Marketing
Case Studies in Financial Analytics
Market Analysis and Consumer Behavior Studies
Session 10 (2 Hours): Capstone Project and Course Wrap-up
Application of Learned Techniques to a Business Case
Group Project Presentation
Course Summary and Path Forward for Further Learning
Each session would ideally include a mix of lecture, discussion, and hands-on exercises using statistical software. The capstone project in the final session should be a comprehensive task that requires students to apply all the skills they've learned, ideally focusing on a real-world business scenario. This structure ensures that MBA students not only understand the theoretical underpinnings of statistical analysis but also how to apply these techniques in a business context.
-49%
Promoting Ethical and Sustainable Business Practices in Research and Insight
This course is designed to provide participants with a comprehensive …
What you'll learn
Define ethical research practices and understand their significance in the business context.
Explore the principles of sustainable business and their role in responsible decision-making.
Learn how to conduct research with integrity, including data collection, analysis, and reporting.
Understand the ethical considerations related to participant consent, privacy, and confidentiality.
Gain insights into the social and environmental impact assessment in business research.
Analyze case studies of ethical and sustainable research practices in various industries.
Discuss the challenges and dilemmas faced by researchers in maintaining ethical standards.
Explore emerging trends and tools for ethical and sustainable research and insight.
Formulate strategies for integrating ethical and sustainable practices into business research.
Identify the potential benefits and long-term advantages of ethical and sustainable business practices.
-56%
Exploring Case Studies in Research and Insight
This course aims to provide participants with a deep understanding …
What you'll learn
Understand the importance of case studies in the field of research and insight.
Analyze and interpret case studies from various industries and sectors.
Learn to extract valuable insights and lessons from real-world research projects.
Explore different research methodologies and approaches through case study examples.
Gain insights into the challenges and ethical considerations in conducting research.
Analyze the impact of research outcomes on decision-making and strategic planning.
Discuss the role of data analysis and visualization in research case studies.
Formulate strategies for designing and conducting effective research studies.
Develop critical thinking and problem-solving skills through case study analysis.
Apply the lessons learned from case studies to real-world research projects.
-39%
Maximizing Academic Publications in Research and Insight
This course is designed to help participants understand the significance …
What you'll learn
Recognize the importance of academic publications in research and insight.
Understand the types of academic publications, including journals, conferences, and books.
Learn the process of preparing and submitting research papers for publication.
Explore strategies for selecting suitable academic journals and conferences.
Gain insights into the peer-review process and addressing reviewers' feedback.
Analyze the ethical considerations and best practices in academic publishing.
Discuss the impact of academic publications on research dissemination and career advancement.
Explore tools and resources for tracking academic citations and impact.
Formulate strategies for maximizing the visibility and impact of academic research.
Develop skills for effective academic writing and communication.
-48%
Academic Outputs and Research Communication in Research and Insight
This course focuses on the effective communication of research findings …
What you'll learn
Understand the role of research communication in research and insight.
Explore various mediums for presenting research findings, including conferences and seminars.
Learn effective strategies for creating and delivering research presentations.
Gain insights into the art of storytelling and visualization in research communication.
Analyze case studies of successful research communication in academia and industry.
Discuss the ethical considerations in research dissemination.
Explore the importance of interdisciplinary collaboration and networking.
Formulate strategies for engaging with diverse stakeholders and the public.
Develop skills for crafting engaging research narratives and presentations.
Apply the principles of effective research communication to enhance the impact of academic outputs.
-44%
Research Development and Projects in Research and Insight
This course is designed to provide participants with a comprehensive …
What you'll learn
Understand the importance of research development in research and insight.
Explore the process of conceiving and formulating research projects.
Learn how to define research objectives, questions, and hypotheses.
Gain insights into selecting appropriate research methods and methodologies.
Analyze the role of data collection, analysis, and interpretation in research projects.
Discuss the ethical considerations in research development and project execution.
Explore project management techniques for research initiatives.
Formulate strategies for conducting literature reviews and background research.
Develop skills for creating research proposals and securing funding.
Apply the principles of effective research project planning and execution.
-44%
Mastering Data, Analytics, and Methodology in Research and Insight
This course is designed to equip participants with essential knowledge …
What you'll learn
Understand the role of data and analytics in research and insight.
Explore various data collection methods, including surveys, interviews, and experiments.
Learn data processing and cleaning techniques for research data.
Gain insights into data analysis tools and statistical methods.
Analyze the importance of selecting appropriate research methodologies.
Discuss the ethical considerations in data collection and analysis.
Explore the role of data visualization in communicating research findings.
Formulate strategies for hypothesis testing and drawing conclusions.
Develop skills for using statistical software for data analysis.
Apply the principles of effective data-driven decision-making in research and insight.
