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Python for Data Analysis Free Course

Python for Data Analysis

star 4.51  Beginner level 2.25 learning hrs 82.4K+ Learners

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

Python for Data Analysis

star 4.51  Beginner level 2.25 learning hrs 82.4K+ Learners
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Skills you will gain

Data Analysis Fundamentals

Python Jupyter Notebook

Working with Data Libraries

Dataset Management

Analyzing IPL and Football Datasets

Analyzing Marvel Superheroes Dataset

Creating Data Visualizations

Loading Multiple Dataset Formats

+2 More

What you'll learn

  • Analyze IPL cricket data using Pandas and Matplotlib.
  • Apply data transformation techniques to football datasets.
  • Create visualizations for the Marvel Superheroes dataset.
  • Load multiple dataset formats into Jupyter Notebook.

    • Key Highlights

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    Master in-demand skills & tools

    Test your skills with quizzes

    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. 

     

     

    Stand out with an industry-recognized certificate

    Start learning

    10,000+ certificates claimed, get yours today!

    Get noticed by top recruiters

    Share on professional channels

    Globally recognised

    Land your dream job

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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. 

    Get access to the complete curriculum once you enroll in the course

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    This course is ideal for

    • Beginners starting out with data analysis in Python.
    • Students and job seekers exploring data analyst roles.
    • Working professionals looking to add Python analytics skills.
    • Learners who want a Python for Data Analysis certificate.

    Python for Data Analysis

    rating icon 4.51

    2.25 Hours

    Beginner

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    Learner reviews of the Free Courses

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    Reviewer Profile
    Ebony Williams

    5.0

    ★★★★ ★
    United States
    “Excellent Course with Clear Explanations and Practical Examples”
    The course is well-structured, with each module building on the previous one, ensuring a smooth learning curve. Interactive elements, such as quizzes and practical exercises, reinforce understanding without overwhelming the learner. Additionally, the community support and the instructor’s responsiveness to questions contribute to a positive learning experience.
    Read More
    Reviewer Profile
    Alfred maina (CIT-222-030)

    4.0

    ★★★ ★ ☆
    “Very In-Depth, Informative, and Practical”
    The course delved deep into the subject matter, providing a comprehensive understanding. Thorough exploration of key concepts and their applications. The content was well-structured, making it easy to follow and absorb. Moreover, the practical exercises and real-world examples reinforced the theoretical knowledge, allowing participants to apply what they learned. The course was truly a valuable learning experience, equipping learners with the necessary skills and insights to excel in their field.
    Read More
    Reviewer Profile
    REHEMA KEMUNTO

    5.0

    ★★★★ ★
    “I Loved Learning About the Different Libraries and Hands-On Examples”
    My data analysis journey with Python has been an enriching experience. I explored powerful libraries like pandas for data manipulation, NumPy for numerical computations, and matplotlib for visualizing data effectively. I learned to clean, preprocess, and analyze datasets to extract meaningful insights. Through hands-on projects, I developed skills in handling missing data, aggregating information, and presenting results. Python's simplicity and versatility made the process engaging, boosting my confidence in tackling real-world data challenges.
    Read More
    Reviewer Profile
    Alex M Alex

    4.0

    ★★★ ★ ☆
    India
    “Learning Python for Data Analysis Has Been an Insightful Journey”
    My journey of learning Python for data analysis has been incredibly rewarding, as I delved into essential libraries like Pandas and NumPy for efficient data manipulation, Matplotlib and Seaborn for insightful visualizations, and honed skills in data cleaning, preprocessing, and exploratory analysis. Working with real-world datasets taught me to uncover patterns, derive meaningful insights, and create impactful solutions, deepening my passion for solving problems through data-driven decision-making.
    Read More
    Reviewer Profile
    Bharati Mudigoudra

    5.0

    ★★★★ ★
    India
    “Mastered Data Manipulation, Visualization, Libraries, and Statistical Analysis in Python”
    I’ve gained practical skills in data handling and visualization with Python. Functions like df.head(), df.tail(), and df.rename() in pandas streamline data management, while plt.hist() and sns.barplot() in matplotlib and seaborn enable effective and customizable visualizations. These tools are essential for comprehensive data analysis.
    Read More
    Reviewer Profile
    Matthew Ebebhoahon

    5.0

    ★★★★ ★
    Nigeria
    “Excellent and Easy to Understand Steps”
    The instructor was patient enough to explain in detail and gave opportunities for students to understand every step during the analysis of the dataset.
    Read More
    Reviewer Profile
    Ganesh Anandan

    5.0

    ★★★★ ★
    Australia
    “Course Structure Was Amazing”
    Instructor's examples were easy to follow through, and the course design with an emphasis on data analysis was great.
    Read More
    Reviewer Profile
    DORADO, LORENZ DANPAUL

    5.0

    ★★★★ ★
    Philippines
    “Learning Is a Continuous Journey Filled with Challenges, Discoveries, and Personal Growth”
    The hands-on approach has been key in my learning experience. Whether building simple applications, creating websites, or analyzing data sets, applying what I've learned has been incredibly satisfying. Through experimentation and iteration, I’ve seen firsthand how powerful technology can be in solving complex problems. For example, learning how to create and deploy machine learning models has given me insights into how AI can be used to predict outcomes and automate tasks across industries.
    Read More
    Reviewer Profile
    Shivangi Agarwal Naredi

    5.0

    ★★★★ ★
    United States
    “Data Analysis with Python and Its Learning”
    Gain expertise in handling and analyzing data using Python libraries such as Pandas and NumPy. The course covers essential skills like data cleaning, statistical analysis, and data visualization with tools like Matplotlib and Seaborn. By working with real-world datasets, I'll enhance your ability to draw actionable insights and solve complex data challenges.
    Read More
    Reviewer Profile
    Kd

    5.0

    ★★★★ ★
    India
    “Enjoy Learning Pandas, Matplotlib, and Seaborn”
    This course offers a solid foundation in Pandas, equipping learners with essential data manipulation skills. From understanding Series and DataFrames to mastering complex operations, it covers a wide range of topics. Practical exercises and real-world examples enhance learning, making it ideal for both beginners and intermediate data analysts.
    Read More

    What our learners enjoyed the most

    Our course instructor

    instructor img

    Mr. Bharani Akella

    Data Scientist

    Data Science Expert

    learner icon
    5.1M+ Learners
    video icon
    125 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.

    Frequently Asked Questions

    Will I receive a certificate upon completing this free course?

    Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

    Is this course free?

    Yes, you may enroll in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

    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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