Data Analysis with Python

Overview

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 18 Class Central reviews

Start your review of Data Analysis with Python

Ronny De Winter @RonnyDeWinter

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.
Ketan Patel @BigData

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

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

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!
Priyanshu

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.
Prashant Saini

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.
Apeksha Chandak

"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."
Usman Aziz

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

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
Roopam Seal

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

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.
Chougule Pranali Bhalchandra

Superb explanation and clarity information about the data analysis with python.
I know python basics but in this platform I learned how to write a code . this all sessions are useful for in my carrier so thank you so much for guidance.
KATHIKA MANDAL

Very nice and informative along with certificate of participation. I need more knowledge and want to upskill myself so i want more of those courses for a better portfolio.
Amarjeet Kumar

It was a great which gave a clear understanding of what actually the data analysis is how can I use in my real life problems especially in my upcoming internships.
Ajay Nikam

I recently completed the "Data Analysis with Python" course, and I must say it was an exceptional learning experience. The course provided a comprehensive and hands-on approach to mastering data analysis using Python, making it accessible even for those with limited programming experience.
Chandana Boda

Superb explanation and clarity information about the data analysis with python.
I know python basics but in this platform I learned how to write a code .
Rehan Roy

Very good chelpful course , I learn a lot by doing this course for bteeer understnadin gabout tehe data analysis with using python as programming language
Gaurav Shirke

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