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Your Learner Verification

This is to verify that Rajesh Subramani Ramaswamy has completed the course Introduction to Data Analytics with Python on Alison.

Rajesh Subramani Ramaswamy

Alison ID: 54440542

Course Completed: Introduction to Data Analytics with Python

Date of Completion: 3rd January 2026

Email: [email protected]

Total Study Time: 8h 54m

Final Assessment Score:

Alison courses requires at least
80% to pass the final assessment

84%
CPD Hours Completed:

CPD approved learning hours
completed through this course

7-9h

Course Information

This free online course takes you through the fundamentals of data analytics with Python programming language.

Python is used as a programming language for data analytics because it contains tools with outstanding mathematical and statistical performance. This is the primary reason why data analyst and data scientist professionals around the world use the Python programming language. This free online course on the Introduction to Data Analytics and Python Fundamentals begins by explaining the meaning of data analytics, the importance and types of big data.

The course explains how data analytics is used in today's business environment. You will learn about the relationship between statistics, business analytics and data science. You will be introduced to the different levels of data analytics and how each level brings about different work complexity and study the concept of variables and how they can be manipulated to take different values. You will also get to learn more about the process by which data is generated by humans.

The free online data analytics course then explains the process of the installation of the Python programming language, and the fundamentals of the Python programming language. You will become better informed about the descriptive and diagnostic analysis used in big data analytics and their relevance in business intelligence. Get started with this exciting data analysis course today to improve your knowledge of data analysis and current realities of today's business world.

Modules Completed

Module 1: Introduction to Data Analytics and Python Fundamentals
Module 2: Course assessment

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