Python for Data Analysis
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
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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
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.
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.
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.
Our course instructor
Mr. Bharani Akella
Data Scientist
What our learners enjoyed the most
Skill & tools
66% of learners found all the desired skills & tools
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Frequently Asked Questions
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.
What are my next learning options after this Python for Data Analysis course?
After you finish this course, you can opt for a Professional Data Analytics course where you will advance your skills in data analysis using Python and other methods.
Is it worth learning Python for Data Analysis?
Yes, Data Analysis is one of the hot topics nowadays, and it is one of the highest in-demand skills. So, it is worth learning this course to build your career in data analytics.
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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.