Data Analysis with Python

via freeCodeCamp

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Details

Go to class

Provider

freeCodeCamp
Pricing

Free Certificate
Languages

English
Certificate

Certificate Available
Duration & workload

300 hours
Sessions

On-Demand
Level

Intermediate

Found in

Data Analysis has been around for a long time. But up until a few years ago, developers practiced it using expensive, closed-source tools like Tableau. But recently, Python, SQL, and other open libraries have changed Data Analysis forever.

In the Data Analysis with Python Certification, you'll learn the fundamentals of data analysis with Python. By the end of this certification, you'll know how to read data from sources like CSVs and SQL, and how to use libraries like Numpy, Pandas, Matplotlib, and Seaborn to process and visualize data.

Major Topics:

Data Analysis with Python Course
Numpy
Data Analysis with Python Projects

Syllabus

Introduction to Data Analysis
Data Analysis Example A
Data Analysis Example B
How to use Jupyter Notebooks Intro
Jupyter Notebooks Cells
Jupyter Notebooks Importing and Exporting Data
Numpy Introduction A
Numpy Introduction B
Numpy Arrays
Numpy Operations
Numpy Boolean Arrays
Numpy Algebra and Size
Pandas Introduction
Pandas Indexing and Conditional Selection
Pandas DataFrames
Pandas Conditional Selection and Modifying DataFrames
Pandas Creating Columns
Data Cleaning Introduction
Data Cleaning with DataFrames
Data Cleaning Duplicates
Data Cleaning and Visualizations
Reading Data Introduction
Reading Data CSV and TXT
Reading Data from Databases
Parsing HTML and Saving Data
Python Introduction
Python Functions and Collections
Python Iteration and Modules
What is NumPy
Basics of Numpy
Accessing and Changing Elements, Rows, Columns
Initializing Different Arrays
Initialize Array Problem
Copying Arrays Warning
Mathematics
Reorganizing Arrays
Loading Data and Advanced Indexing
Mean-Variance-Standard Deviation Calculator
Demographic Data Analyzer
Medical Data Visualizer
Page View Time Series Visualizer
Sea Level Predictor

Taught by

freeCodeCamp Team

Reviews

4.8 rating, based on 31 Class Central reviews

Start your review of Data Analysis with Python

Utkarsh Singh @insaanbanarasi

An excellent beginner-friendly course that builds a solid foundation in data analysis using Python. The lessons are well-structured, covering key libraries like NumPy, Pandas, and Matplotlib. The hands-on projects at the end really help cement the concepts. Perfect for aspiring data analysts or anyone looking to strengthen their Python data skills. Highly recommend for self-paced learners!
Ketan Patel @BigData
6

Very precise and cleanly thought. It goes into technical details which I like since I have a Comp Sci degree with over 20 years of experience. At first I thought it was overwhelming, but I realize that I am able to associate it with previous experie…

Very precise and cleanly thought. It goes into technical details which I like since I have a Comp Sci degree with over 20 years of experience. At first I thought it was overwhelming, but I realize that I am able to associate it with previous experience including the 1.5 years on a data science team supporting Data Scientist with Anaconda, and Jupyter Notebooks.

For those that are new to this stuff don't get intimidated. You may have to repeat the material if you really want to learn it. It is worth it. I am doing this while I refresh my Hadoop admin skills, and learning data engineering and AI, so if you focus on one fundamentals you will overcome it. I am an Architect consulting role now so I have to really step up to deliver to client's needs.
Chidiebere Okoene @chidiokoene
6

learning data analysis with python on freecodecamp is exactly one of the best decision I've taken as a data analyst. I learnt a lot of python libraries necessary for data wrangling and Visualization
Mauli Patel
3

I recently completed the Data Analysis with Python course by freeCodeCamp, and it was an incredible learning experience. The course offers a hands-on approach that walks you through the essential tools and techniques for working with data. From data…

I recently completed the Data Analysis with Python course by freeCodeCamp, and it was an incredible learning experience. The course offers a hands-on approach that walks you through the essential tools and techniques for working with data. From data cleaning with Pandas to creating impactful visualizations with Matplotlib and Seaborn, it covers a wide range of skills that are crucial for anyone looking to dive into data analysis.

What I particularly appreciated was how well the course explains complex topics in an easy-to-understand manner. Even if you're a beginner, the course breaks down the steps and makes you feel confident working with real-world datasets.

I also found the practical exercises especially helpful in reinforcing what I learned. The course is comprehensive, clear, and accessible to learners at any level. If you're looking to get started with data analysis or want to strengthen your Python skills, I highly recommend this course!
NEETHU K V 2025

A solid, practical introduction to data analysis with Python.
This course covers everything from NumPy and Pandas to data visualization and machine learning basics in a clear, hands-on way. The coding exercises are well-structured and push you to actually apply what you learn rather than just watch. Topics like linear regression, clustering, and time series modelling are explained with real examples, making complex concepts approachable. Highly recommended for beginners and intermediate learners looking to build a strong foundation in data science with Python.
Pooja Vs

The Data Analysis with Python course by freeCodeCamp is an excellent resource for beginners and aspiring data analysts. It provides clear, hands-on lessons covering essential libraries like Pandas, NumPy, and Matplotlib, helping learners build practical skills through real-world projects. The step-by-step explanations make complex concepts easy to understand, even for those without prior programming experience. I especially appreciated the balance between theory and practice, which strengthened my confidence in working with datasets. Overall, this course is highly valuable for anyone looking to start or advance a career in data analysis using Python.
Anonymous Crater
1

This course helps a lot to learn a lot about python and how to use python for data analysis. Learning of jupyter notebook and many more tools to help in exceed with data analysis field. It is recommended to go thorough with it to learn a lot.
Pankaj Chhimwal

"This course is a game-changer for anyone looking to enter the IT and Data Science field. freeCodeCamp's curriculum is well-structured, moving from basic Python to complex data cleaning and visualization. I particularly enjoyed the focus on Jupyter Notebooks, which is essential for professional documentation. It has significantly boosted my confidence in using Python for statistical analysis and data-driven decision-making."
Mayank Pandey
3

It was good experience. I always wanted to learn and do creative things like this. Earlier I didn't know anything about handling databases using python but now I have a new and one of my favourite skill.
Prashant Saini
3

At the center of a good story are the characters in it. In this course aspiring writers will discover how to build and bring to life complex, vivid and unforgettable characters. We will study the choices a writer makes to bring all characters to lif…

At the center of a good story are the characters in it. In this course aspiring writers will discover how to build and bring to life complex, vivid and unforgettable characters. We will study the choices a writer makes to bring all characters to life on the page, and we will perform written exercises in order to develop a variety of writing and pre-writing techniques, in order to create a variety of characters. We will learn how to use our own life experiences, and the people we know (and how not to!). We will develop inner (thoughts and feelings) and outer (appearance, habits, behavior) lives for our characters and see how that can lead us to richer and more interesting stories. We will breathe life into our characters and let them surprise us.
Diljeet Singh

Covers core concepts of data analysis using Python with a clear and structured approach. Ideal for beginners looking to build a strong foundation. Introduces essential libraries like NumPy, Pandas, Matplotlib, and Seaborn through practical examples that make working with real datasets approachable. Focuses on data cleaning, manipulation, visualization, and basic statistical techniques. Exercises are guided and reinforce key skills, though not deeply interactive. Doesn’t explore machine learning or advanced modeling, but provides a solid base for understanding Python’s role in data workflows. Great starting point for aspiring analysts or developers transitioning into data science. Concise, beginner-friendly, and well-paced.
Apeksha Chandak
1

"I found this platform very helpful for learning new skills. The courses are well-structured and detailed. However, adding more practical examples could improve the experience further. Highly recommended for beginners and professionals alike."
Ronny De Winter @RonnyDeWinter
367

Good comprehensive course on how to use python and its numpy and pandas libraries to perform data analysis. Includes some quizzes and small programming exercises, although the replit coding environment is somewhat cumbersome, Jupyter notebooks looks like a better option to me for the assignments.
Abderrahmane Bouchelaghem

لقد أنهيت هذه الدورة وأنا قادر على تحليل البيانات في المجال الخاص بي إنتاج البترول والغاز وهو مجال جد شيق لذلك أنا أشكركم كثيرا على هذا
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1

Для начинающего изучать Python человека, курс очень удобный и подоедет всем. Много введения и понятно. Есть связь с HTML, что тоже полезно
Chanchal Shakya

I recently completed this free online course, and it provided a solid foundation in data analysis using Python. The content was beginner-friendly, covering essential libraries. I learned how to clean, manipulate, and visualize real-world data efficiently. This course helped boost my analytical skills and made me more confident in handling data-driven tasks.
Ankush Kharwal (DOORDIE)

This is a really good course and helped me understand the Data Analysis with Python. Highly recommend to get started with it
Roopam Seal
1

Very useful course. Finely curated content with learning aids for beginners. The content is on-demand.
Priyanshu
1

Very precise and cleanly thought. It goes into technical details which I like since I have a Comp Sci degree with over 20 years of experience. At first I thought it was overwhelming, but I realize that I am able to associate it with previous experie…

Very precise and cleanly thought. It goes into technical details which I like since I have a Comp Sci degree with over 20 years of experience. At first I thought it was overwhelming, but I realize that I am able to associate it with previous experience including the 1.5 years on a data science team supporting Data Scientist with Anaconda, and Jupyter Notebooks.

For those that are new to this stuff don't get intimidated. You may have to repeat the material if you really want to learn it. It is worth it. I am doing this while I refresh my Hadoop admin skills, and learning data engineering and AI, so if you focus on one fundamentals you will overcome it. I am an Architect consulting role now so I have to really step up to deliver to client's needs.
Anonymous

Thank you so much for this great Data Analysis with Python course. All the modules, training materials and the mentor himself are so perfect and easy to understand. This is the best online course that I've been joining so far.

Million Thanks.
Best regards

Gemy Forson