
Introduction to the instructor and course
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
At the end of this course, you will learn the following
•What is Data Analysis & Data Analytics
At the end of this course, you will learn the following
•How is Data Analysis & Data Analytics different from Business Analytics and Data Science
At the end of this course, you will learn the following-
How Netflix used Data Analysis & Analytics for Personalized Recommendation System
At the end of this course, you will learn the following
•How Amazon used Data Analysis & Analytics for Inventory & Supply Chain Optimization
At the end of this lecture, you will learn the following
•Case Study 3: Starbucks - Customer Loyalty and Retention
At the end of this lecture, you will learn the following
•What is excellence in Data Analysis and Data Analytics
At the end of this lecture, you will learn the following
•How to build such an excellence in Data Analysis and Data Analytics
At the end of this lecture, you will learn the following
•Implementing data governance policies.
At the end of this lecture, you will learn the following
•Using ETL (Extract, Transform, Load) processes to clean and structure data.
At the end of this lecture, you will learn the following
•Removing inconsistencies, duplicates, and errors
At the end of this lecture, you will learn the following
•Use cloud storage solutions (AWS, Google Cloud, Azure).
At the end of this lecture, you will learn the following
•Implement data warehouses (Snowflake, Redshift, BigQuery).
At the end of this lecture, you will learn the following
•Descriptive Analytics: What happened? (Dashboards, reports)
At the end of this lecture, you will learn the following
•Diagnostic Analytics: Why did it happen? (Root cause analysis)
At the end of this lecture, you will learn the following
•Predictive Analytics: What will happen? (Machine learning models)
At the end of this lecture, you will learn the following
•Prescriptive Analytics: What should be done? (AI-driven recommendations)
At the end of this lecture, you will learn the following
•Data Collection & Storage:
•SQL, NoSQL (MongoDB, Cassandra), Data Lakes (Hadoop)
At the end of this lecture, you will learn the following
•Data Processing & Analysis:
Python (Pandas, NumPy), R, SAS, Excel
At the end of this lecture, you will learn the following
Visualization & Business Intelligence:
•Power BI, Tableau, Google Data Studio.
At the end of this lecture, you will learn the following
Big Data & Machine Learning
•Apache Spark, TensorFlow, Scikit-Learn
At the end of this lecture, you will learn the following
•Work closely with business teams to identify relevant metrics
At the end of this lecture, you will learn the following
•Use data to solve real-world problems (e.g., reducing churn, optimizing sales)
At the end of this lecture, you will learn the following
•Training teams on how to interpret and use data.
At the end of this lecture, you will learn the following
•Encouraging leadership to rely on evidence-based insights
Can you become a successful Data Analyst who not only analyzes data but also helps organizations make better business decisions?
In today's data-driven world, organizations are no longer looking for professionals who simply create reports or dashboards. They are looking for Data Analysts who can transform data into actionable business insights, build analytics capabilities, influence strategic decisions, and create measurable business value.
If that is the career you aspire to build, then this course is designed specifically for you.
Unlike many Data Analytics courses that focus primarily on learning individual tools, this course teaches you how successful organizations build Data Analysis & Analytics Excellence and how you can develop the same capabilities to become a highly effective Data Analyst.
You will begin by understanding what Data Analysis and Data Analytics really mean and how they differ from Business Analytics and Data Science. You will then learn through real-world case studies of Data Analysis & Analytics Excellence, discovering how leading organizations use analytics to improve performance, enhance customer satisfaction, increase profitability, and gain competitive advantage.
Building on these insights, you will develop a structured framework for creating Data Analysis & Analytics Excellence within an organization. You will learn how to ensure data quality and integrity, design modern data infrastructure, centralize enterprise data, and apply descriptive, diagnostic, predictive, and prescriptive analytics to solve real business problems.
A successful Data Analyst must also understand the business behind the data. That is why this course goes beyond analytics techniques to help you identify meaningful business KPIs, build dashboards that support decision-making, and develop a data-driven decision-making culture across teams and organizations.
One of the most valuable skills you will develop is the ability to translate data into actionable business insights. Rather than presenting numbers alone, you will learn how to identify opportunities, communicate recommendations clearly, and help business leaders make better strategic decisions.
You will also discover how Artificial Intelligence is transforming modern Data Analysis & Analytics and learn how AI can be used to uncover deeper insights, improve forecasting, automate reporting, and support faster and better decision-making.
Since modern organizations expect analytics to be trustworthy and responsible, you will also learn best practices for data governance, privacy, compliance, transparency, and bias prevention, ensuring that your analytics can be confidently relied upon across the organization.
Throughout the course, you will reinforce your learning through practical exercises and real-world examples that help you connect concepts with business application.
My own journey in Data Analysis began over four decades ago during my MBA at the Indian Institute of Management Bangalore and continued through leadership roles with Unilever, Johnson & Johnson, Danone, and later while teaching and mentoring MBA students and consulting organizations on analytics-driven business transformation. This course brings together those decades of practical experience with modern Data Analysis & Analytics practices to provide you with a structured, business-focused learning experience.
If your goal is to become a successful Data Analyst who can build analytics excellence, foster a data-driven culture, and transform data into actionable business insights that improve business decisions, I look forward to welcoming you into the course. Preview the lectures, explore the curriculum, and begin your journey toward becoming the kind of Data Analyst organizations truly value.
This Course is Part of a Structured Learning Path
Learning Path: ANALYTICS PATH (Starter → Builder → Advanced)
This course is your STARTER step.
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