Free Data Analytics Course
Introduction to Analytics
4.51
Beginner level
3.0 learning hrs
Learn Descriptive, Diagnostic, Predictive, and Prescriptive Analytics, Python, and ChatGPT for Excel for actionable strategic insights. Join this free data analytics course to understand how data predicts customer preferences.
Instructor:
Mr. Rounak Dholakia
About this course
This free data analyst course equips you with the essential skills to transform raw data into high-impact strategic outcomes. You will master the foundational components of the analytical process by using real-world models, such as Amazon’s recommendation system, to understand how data predicts customer preferences. The curriculum covers the core elements that constitute effective analytics, enabling you to build a solid foundation for any data-driven project. By analyzing these principles, you will learn to identify key business drivers and structure data to support high-level organizational goals.
The course moves through the full spectrum of analytics, descriptive, diagnostic, predictive, and prescriptive, to help you transition from historical reporting to future-ready optimization. You will clarify the professional distinctions between Data Science and Data Analytics while gaining hands-on proficiency with modern tools like ChatGPT, Excel, and Python. These applications allow you to automate data tasks and generate precise recommendations for complex business scenarios. By the end of this free data analyst training course, you will be equipped to diagnose performance gaps, forecast future trends, and prescribe optimal actions, ensuring you can deliver the actionable insights required to lead in a data-driven economy.
Course outline
What is Business Analytics
This module introduces business analytics, defining its role and importance in transforming data into actionable insights for strategic business decisions.
Examples of Data Analytics
This module covers real-world examples of analytics, such as the Amazon recommendation system, to illustrate practical applications of data-driven decision-making.
What Constitutes Analytics
This module focuses on the core components of analytics, breaking down the essential elements that form the foundation of any analytical process.
Amazon Recommendation
This module explores the mechanics behind recommendation systems, using the Amazon model to detail how data is used to predict customer preferences.
Spectrum of Analytics
This module teaches the spectrum of analytics, differentiating between descriptive, diagnostic, predictive, and prescriptive analytics and their applications.
Descriptive Analytics
This module covers descriptive analytics, explaining how to use historical data to understand what has happened in the past.
Diagnostic, Predictive and Prescriptive Analytics
This module focuses on advanced analytics, detailing how to identify causes, predict future outcomes, and recommend optimal actions.
Data Science vs. Data Analytics
This module clarifies the distinction between Data Science and Data Analytics, outlining the unique focus and skill sets of each field.
Data Analytics using ChatGPT with Excel and Python
This module introduces modern tools, demonstrating how to leverage ChatGPT, Excel, and Python for practical data analytics tasks.
Get access to the complete curriculum once you enroll in the course
4.51
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Practice exercises
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India
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Philippines
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Netherlands
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United Kingdom
What our learners enjoyed the most
Easy to Follow
60% of learners found the course easy to follow
Our course instructor
Mr. Rounak Dholakia
Academic Operations Head (PGP DSBA)
Data Science Expert
Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Is this course free?
What will I learn in this free data analytics course?
This free data analytics course teaches core analytics concepts like descriptive, diagnostic, predictive, and prescriptive analytics. You will understand how businesses use data to make decisions, explore real examples like recommendation systems, and learn how analytics drives strategy.
Who should take this free data analyst training free?
This course is ideal for beginners, students, aspiring data analysts, and professionals who want to learn data analytics free and build essential skills for data-driven roles.
How long is this learn data analytics free course?
The Introduction to Analytics course includes about 3.0 hours of self-paced content. You can complete it on your own schedule.
What skills will I gain in this free data analytics course
The will gain the following skills:
Spectrum of Analytics
Descriptive Analytics
Will this free data analyst training free help my career?
Yes. You’ll build foundational analytics knowledge and practical tools that employers value, helping you begin a career as a data analyst or strengthen your existing role.
Do I need prior experience to learn data analytics free?
No prior experience is required. This free data analytics courses for beginners, including this one, start with the basics and help you build knowledge step-by-step.
What are the key topics covered in this course?
The course covers the following key topics:
What is Business Analytics
Examples of Data Analytics
What Constitutes Analytics
Amazon Recommendation
Spectrum of Analytics
Descriptive Analytics
Diagnostic, Predictive and Prescriptive Analytics
Data Science vs. Data Analytics
Data Analytics using ChatGPT with Excel and Python
How is this free data analytics course different from other beginner courses?
This free data analytics course focuses on core analytics concepts before jumping into advanced tools. You learn how analytics works in real business scenarios, which builds a strong foundation for future technical learning.
What types of analytics will I understand after completing this course?
You will learn four major types of analytics:
Descriptive analytics
Diagnostic analytics
Predictive analytics
Prescriptive analytics
These form the foundation of most analytics roles.
Will this help me prepare for advanced data programs?
Yes. This free data analyst course builds the conceptual base required before moving into advanced topics like machine learning, data visualization, or statistical modeling.
Is this suitable for working professionals who want to switch careers?
Yes. This free data analytics course works well for professionals in marketing, finance, operations, or IT who want to move into analytics roles or improve their data skills.
How does this course introduce tools used in analytics?
The course explains how tools such as Excel, Python, and ChatGPT are used in analytics workflows. This gives you practical context along with theoretical understanding.
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