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Master in Data Analysis & Analytics
Rating: 4.6 out of 5(266 ratings)
19,662 students

Master in Data Analysis & Analytics

Become Data Analyst by mastering Data Analytics, Dashboards, KPIs, Visualization, Data Governance, AI using assignments
Last updated 7/2026
English
English [Auto],

What you'll learn

  • Understand the complete Data Analysis and Data Analytics framework used by successful organizations
  • Apply descriptive, diagnostic, predictive and prescriptive analytics to solve business problems
  • Build KPI-driven decision-making systems to improve business performance
  • Improve data quality, governance and integrity for reliable analysis
  • Design effective dashboards, reports and analytics solutions
  • Develop strong data visualization and data storytelling skills
  • Translate data insights into actionable business recommendations
  • Use AI and cloud technologies to enhance analytics capabilities
  • Understand the differences between Data Analysis, Data Analytics, Business Analytics and Data Science
  • Centralize and manage data using modern analytics infrastructure concepts
  • Develop a data-driven decision-making culture within organizations
  • Automate reporting and dashboard processes for greater efficiency
  • Understand data privacy, compliance and analytics governance requirements
  • Prevent bias and improve transparency in analytics processes
  • Evaluate real-world case studies of excellence in Data Analysis and Data Analytics
  • Learn practical frameworks that can be applied immediately in your organization

Course content

18 sections40 lectures6h 4m total length
  • Introduction6:38

    Introduction to the instructor and course

  • Introduction Case Study17:31

    At the end of this course, you will learn the following

    • A case study of building excellence in Data Analysis and Analytics to become a successful Data Analyst

Requirements

  • 6 hours learning time

Description

Data is one of the most valuable assets in modern organizations. However, collecting data is not enough. Organizations create value when they transform data into insights, decisions, and actions.

This course will help you understand how successful organizations build excellence in Data Analysis and Data Analytics. You will learn practical frameworks, tools, techniques, and best practices used to improve decision-making, reporting, dashboards, analytics, and business performance.

Unlike many courses that focus only on software tools, this course focuses on the complete Data Analytics ecosystem, helping you understand how data is collected, managed, analyzed, visualized, governed, and converted into business results.

In this course, you will learn how to:

• Understand the complete Data Analysis and Data Analytics framework
• Apply descriptive, diagnostic, predictive, and prescriptive analytics
• Improve data quality, governance, and integrity
• Build KPI-driven decision-making systems
• Design effective dashboards and reporting solutions
• Develop strong data visualization and storytelling skills
• Translate data into actionable business insights
• Use AI and cloud technologies to enhance analytics capabilities
• Develop a data-driven culture within organizations
• Understand data privacy, compliance, transparency, and ethical analytics practices

The course includes practical examples, case studies, exercises, and real-world applications to help you connect analytics concepts with business outcomes.

You will explore important topics such as:

• Data Quality and Integrity
• Data Governance
• Modern Data Infrastructure
• Analytics Frameworks and Methodologies
• KPI Development and Performance Measurement
• Dashboard Design and Reporting Automation
• Data Visualization and Storytelling
• Cloud-Based Analytics Solutions
• AI-Enabled Analytics
• Data Privacy, Compliance, and Responsible Analytics

Why learn from me?

My journey in analytics started more than four decades ago during my management education at the Indian Institute of Management Bangalore, where I studied analytical techniques and decision-making methodologies used to solve business problems.

During my corporate career with leading multinational organizations including Unilever, Johnson & Johnson, and Danone, I extensively used data and analytics to support business decisions and performance improvement initiatives.

Since 2016, while teaching and coaching MBA students and working with organizations across industries, I have continued to deepen my expertise in modern Data Analytics, including data governance, analytics frameworks, visualization, dashboards, AI-enabled analytics, and data-driven decision making.

In this course, I bring together practical business experience, management insights, analytics frameworks, and real-world applications to help you understand how organizations use data to make better decisions.

Who should take this course?

• Aspiring Data Analysts
• Managers and Team Leaders
• MBA Students
• Professionals involved in reporting, dashboards, and analytics
• Anyone interested in using data to improve business decisions

Preview several lectures for free and experience the course before enrolling.

Join today and develop the knowledge, frameworks, and skills needed to master Data Analysis and Data Analytics for better business decision-making.


This Course is Part of a Structured Learning Path

Learning Path: ANALYTICS PATH (Starter → Builder → Advanced)

This course is your STARTER step.

Next Recommended Courses

After completing this course, continue your growth with:

Business Analytics (Builder)

Business Analysis (Builder)

Data Science (Builder)

AI Data Driven Management (Advanced)

Who this course is for:

  • Aspiring Data Analysts
  • Managers and Team Leaders
  • MBA Students
  • Professionals involved in reporting, dashboards, and analytics
  • Anyone interested in using data to improve business decisions