Python for Data Analysis Free Course
Python for Data Analysis
4.51
Beginner level
2.25 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
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 enroll in the course
4.51
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Practice exercises
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Skill & tools
62% 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.
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.
What is Data Analysis used for?
Data analysis is used to analyze the available data to predict future outcomes,, which is very helpful from the business perspective. Businesses collect huge amounts of data daily, and the data needs to be used effectively. Here comes the data analysis in view that makes the use of available data and increases the productivity of a business.
Why is Python for Data Analysis so popular?
Python is a popular programming language used in Machine Learning, Software Development, and the creation of some useful AI tools. Python is also used for Data Analysis as it enables to create and manages data structures quickly. That’s the main reason behind its popularity in data analysis.
What jobs demand that you learn Python for Data Analysis?
Several jobs require Python for Data Analysis, including Data Analyst, Data Engineer, Supply chain management, Data Scientist, Python developer, and others.
Will I get a certificate after completing this Data Analysis course?
Yes, you will have to take the quiz when you finish the course. After successfully qualifying the quiz, you can avail your course completion certificate from Great Learning Academy.
What knowledge and skills will I gain upon completing this Data Analysis course?
In the course, you will understand the interface of the Jupyter Notebook. You will also learn about different libraries of Python used in data analysis. The skills you will gain upon completing this course are Data Analytics, Python, Matplotlib, Pandas, and Seaborn.
How much does this Data Analysis course cost?
The course is free, and anyone can take it without paying for it.
Is there a limit on how many times I can take this Python for Data Analysis course?
No, there is no limit to taking this course. You can take this course as many times as you want.
Can I sign up for multiple courses from Great Learning Academy at the same time?
Yes, you can sign up for various courses provided by Great Learning Academy at the same time.
Why choose Great Learning Academy for this Data Analysis course?
Great Learning is a large platform that provides education in various domains. The courses provided by Great Learning Academy can be accessed globally. There are more than 5 Million learners who are benefited from the courses. Python for Data Analysis course will help you learn how to use Python to analyze the data. You will also understand different concepts of Data Analytics in this course.
Who is eligible to take this Data Analysis course?
Those who are interested in Data Analysis and Python can take this course. The course will help you learn some important data analysis concepts such as data transformation, data visualization, and analysis.
What are the steps to enroll in this course?
The steps to enroll in this course are as follows:
1. Click on the ‘Enroll for free’ button on the course page.
2. Create an account at Great Learning Academy to enroll in this course.
3. Go to the dashboard to access the course and start learning it for free online.
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