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Python for Data Analysis
4.5
Beginner level
3.0 learning hrs
Enroll in this free online Python for Data Analysis course to advance your career in the in-demand field of data analysis and learn about numerous tools and working methods for the libraries.
Instructor:
Mr. Bharani Akella
Modules updated 07/2025
About this course
Learn the fundamentals of data analysis with Python in this online course, where you'll be supervised by a subject-matter expert as you use Python Jupyter Notebook and associated libraries to analyze various datasets. You will have practical experience working with different types of datasets including IPL, football, and Marvel Superheroes datasets while developing engaging visualizations to portray the examined data. Additionally, you will learn how to use Python to load several dataset formats in the Notebook. After passing the exam, you will be awarded a certificate of completion for the course.
Are you looking for a professional Data Science course to upgrade yourself with the concepts of data analysis? You can simply choose the Data Science course provided by the Great Learning platform that will help in building your career.
Course outline
EDA on IPL Data
In this module, the tutor will brief you about the libraries used for analyzing the data. You will also learn to code in Python Jupyter Notebook for analyzing the IPL dataset. Later on, you will learn to implement exploratory data analysis on the dataset using Python libraries – Pandas, matplotlib, and Seaborn.
EDA on Football Data
This module will comprehend you with another dataset of football. Later on, you will learn how to read the dataset in Jupyter Notebook. Then you will be introduced to various ways of data transformation of data using Python. Next, the tutor will show you various visualizations that you can use to analyze the data.
EDA on Marvel Superheroes Data
This is the last module, and you will use another dataset for data analysis. Here, the analysis will be done for the Marvel Superheroes dataset. Next, you will be familiarized with various kinds of immersive visuals that will reflect the analyzed data.
Get access to the complete curriculum once you enrol in the course
4.5
What our learners enjoyed the most
Skill & tools
66% of learners found all the desired skills & tools
Our course instructor
Mr. Bharani Akella
Data Scientist
Data Science Expert
Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Is this course free?
What are the prerequisites required to learn this Data Analysis course?
Fundamental knowledge of Python would be a better option before taking this course. Otherwise, starting this course with little or no knowledge of Python is not a big deal. Anyone interested in Data Analysis can take this course for free.
How long does it take to complete this free Data Analysis course?
The course contains video content of 2-hour duration. As this is a self-paced course, you can finish it anytime you want.
Will I have lifetime access to the free course?
Yes, you have lifetime access to this course, so you can take the course anytime.
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Python for Data Analysis Course
Python for Data Analysis is an introductory course that covers the fundamentals of Python programming language and the use of Python for data analysis. This course provides learners with an understanding of the basics of working with data in Python. The course focuses on the practical application of Python and its associated libraries, such as Pandas, NumPy, and Matplotlib, to work with large datasets.
The Python for Data Analysis course begins by introducing learners to the basics of the Python language, such as variables, types, functions, and classes. Learners will also gain an understanding of the importance of data cleaning and pre-processing. The course then moves on to discuss more advanced topics, such as data visualisation, statistical analysis, and machine learning. Throughout the course, learners will be exposed to real-world data, such as IPL data, football data, and Marvel Superheroes data.
The IPL data module focuses on the Indian Premier League (IPL). Learners will learn how to use Python to analyse, visualise, and interpret IPL data. This module will cover topics such as web scraping, data wrangling, and data visualisation. The football data module uses data from the English Premier League (EPL) to teach learners.