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Python for Data Analysis

Name: Python for Data Analysis
Rating: 4.52 (2323 reviews)

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

4.52

Ratings

Beginner

Level

3.0 Hrs

Learning hours

55.4K+

Learners

Enrol free with email

Certificate of completion

Presented to

Your Name

For successfully completing a free online course

Python for Data Analysis

Provided by

Great Learning Academy

Skills you’ll Learn

EDA

Python Jupyter Notebook

Pandas

Matplotlib

Seaborn

Data Analysis

About this Free Certificate 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.

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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.

Our course instructor

Mr. Bharani Akella

Data Scientist

3.2M+ Learners

82 Courses

Bharani has been working in the field of data science for the last 2 years. He has expertise in languages such as Python, R and Java. He also has expertise in the field of deep learning and has worked with deep learning frameworks such as Keras and TensorFlow. He has been in the technical content side from last 2 years and has taught numerous classes with respect to data science.

Trusted by 10 Million+ Learners globally

4.8

4.81

4.97

4.7

What our learners say about the course

Find out how our platform helped our learners to upskill in their career.

4.52

★★★★

★ ☆

Course Rating

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70%

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☆

22%

★

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What our learners enjoyed the most

Skill & tools

67%

67% of learners found all the desired skills & tools

Ratings & Reviews of this Course

Semal De Silva

5.0

★★★★ ★

I recently completed the "Python for Data Analysis" course, and I would like to provide some feedback on my experience.

The course offered a comprehensive overview of Python for data analysis. The material was both relevant and up-to-date, covering essential topics such as data manipulation with Pandas, data visualization with Matplotlib and Seaborn, and basic statistical analysis. The examples and exercises provided were highly practical and helped reinforce the concepts effectively. The content was presented in a clear and engaging manner. The explanations were easy to follow, and the pace of the course was well-suited for both beginners and those with some prior knowledge. The structure of the course facilitated a smooth learning experience, making complex topics more approachable. I am highly satisfied with the overall course experience. The course met my expectations and provided valuable insights into Python for data analysis. I particularly enjoyed the hands-on projects and the clear explanations of complex topics. One area for improvement could be to include more advanced topics or additional real-world case studies to further deepen the learning experience. Overall, I would highly recommend this course to anyone looking to strengthen their skills in Python for data analysis.

Muhammad Yasir Imtiaz

5.0

★★★★ ★

Engaging Content, Practical Applications, and Insightful Discussions

I appreciate the course's engaging content, practical applications, and insightful discussions. It offers real-world examples and interactive activities that enhance understanding. The well-structured lessons and supportive community make learning enjoyable and effective.

Mujahid Ahmad

5.0

★★★★ ★

Visualization of Data Through Python

I have learned a lot about Python in the visualization of data. I recently completed the "Python for Data Science" course at Great Learning Academy, and I am pleased with the experience. The course was well-structured, providing a thorough introduction to key concepts such as data manipulation, visualization, and the use of Python libraries like Pandas and NumPy. The hands-on exercises were particularly beneficial, enabling me to apply the theoretical knowledge in practical scenarios. The instructors were clear in their explanations, making complex topics more accessible. While the course was highly informative, I believe it could be further enhanced by including more industry-specific case studies and advanced challenges. Overall, it was a valuable learning experience that has significantly boosted my understanding of data science with Python.

Vishal Randhawa

5.0

★★★★ ★

Exploring Data with Python and Matplotlib

The most exciting part was mastering Pandas for data manipulation and Matplotlib for creating insightful visualizations. Applying these skills to real datasets made learning both practical and enjoyable.

Luis Guillermo del Pielago Alva

5.0

★★★★ ★

Hands-On Practice with Real Datasets and Tools

I enjoyed the practical applications and clear explanations of concepts. The interactive exercises and real-world examples made learning engaging and effective.

Suhail Ahmed

5.0

★★★★ ★

Comprehensive Exploration of Data Analysis Techniques

I appreciated the practical approach of the course, especially the extensive EDA exercises on diverse datasets like IPL, football, and Marvel superheroes. The step-by-step guidance and the variety of datasets helped me understand different aspects of data analysis and visualization. The course structure was clear, and the content was well-organized, making complex concepts more approachable.

Malshi Wanigasingha

5.0

★★★★ ★

My Journey with Great Learning Has Been Transformative and Enriching

The flexibility of learning at my own pace has been invaluable, allowing me to balance my studies with other commitments effectively. Engaging video lectures delivered by industry experts, along with interactive quizzes and assignments, have deepened my understanding of complex topics.

Certificate of completion

Presented to

Your Name

For successfully completing a free online course

Python for Data Analysis

Provided by

Great Learning Academy

Python for Data Analysis

3.0 Learning Hours . Beginner

Why upskill with us?

1000+ free courses

In-demand skills & tools

Free life time Access

10 Million+ learners

Success stories

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Dell, Inc, US

The learning experience was very enriching and the mentors and advisors were very supportive all along. I'm extremely glad I signed up for the program. I definitely got what I wanted from the program and strongly recommend it.

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Data Solution Integration Advisor

ExxonMobil, US

I found the Data science program to have the perfect combination of relevant content, flexibility, academic rigor, and practical content that allowed me to immediately put all into practice at work.

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Director of Operations, Latin America

VMWARE, US

The AI for Leaders program has been a great learning experience with right levels of depth and breadth across the subject. It is a well administered program which enhanced my learning experience.

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Vice President

Charles Schwab & Co. In, US

I believe the AIML course is of high-quality, and all the instructors are highly prepared in every topic. I also believe our Mentor is doing a fantastic job every week, and his personal insights and additions to the materials are very valuable.

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Global Category Manager

Materion Corporation,US

The data science journey was full of intense learning, but the best experience I have had. I would be willing to do it over and over again. I will highly recommend it. Thank you The University of Texas and Great Learning!

Kati Laev

Customer Service Administrator

CMT Limited UK

The program was flexible and increased my understanding of AI and the processes for integrating it into business. I would highly recommend this program to business professionals who want to understand AI and its applicability in projects better.

Hugh Hanlon

Defense Research Analyst-Associate, Booz Allen Hamilton (United States)

Booz Allen, US

The AIML program has given me solid foundational knowledge around Python, AI, and ML. The program content was very well-curated, and it covered the right things in the right depth for a program like this.

Pertuso Dryonis

Sr. Advisor Applied Data Analytics, Hess Corporation (United States))

Hess, US

And thousands more such success stories..

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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