Best Python for Data Analysis Courses Online & Certification (June 2024)

  • Post last modified:30 May 2023
  • Reading time:58 mins read
  • Post category:Best Online Course
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Were you looking for a way to become a Data Analyst? You have come to the right place. In order to manage, process, evaluate, and streamline large datasets, organizations today use data analytics. It helps large and small organizations to understand customers’ behavior.

As you know, Data Analysis plays a big role in running a business and creates big opportunities for the future of any industry. The most essential programming language for data analysis and science is Python. So, we have prepared a list of Best Python for Data Analysis Courses Online. Before you check the list, let’s understand why it is important to learn Python programming language.

Best Python for Data Analysis Courses
Best Python for Data Analysis Courses

Why learn Python for Data Analysis?

Python is an easy to understand and versatile programming language that provides advantages of using fewer code lines to build any applications and analyze data. 

Those who have worked with large amounts of data understand how frequent repetition is required in this job, and Python programs are tailor-made for repetitive tasks and data manipulation.

 Data analysts are able to focus on the more interesting and rewarding aspects of their job by using a tool that handles all the grunt work for them.

As sources said, the Big data and business analytics market size reached almost $200 billion in 2020. It could grow to $680 billion by 2024 .  

Python comes with built-in data structures and powerful packages that ease the task of data scientists and developers. As per the survey from splash, more than 69% switched the programming language to Python to save their time and cost of compiling codes. 

Also, according to the US Bureau of Labor Statistics, the median annual salary of a data analyst is $70,033 and employment for data scientists is expected to grow to 36% between 2023 and 2031. The Best Data Analytics Courses were discussed earlier, and you should check them out if you haven’t dealt with data analysis before.

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Best Python for Data Analysis Courses, Certification, Tutorials, Training, Classes Online

Data Analysis with Python [Coursera]

Learn to analyze data using Python. This Data Analysis with Python Course is the pathway that starts from the core concepts of Python and ends with the exploration of different types of data. You will gain insight into data, prepare it for analysis, and create meaningful visualizations for future predictions. It is a part of multiple IBM professional certificate programs. After completing it, you can take a step forward to learn other programs:

  • IBM Data Analyst Professional Certificate
  • IBM Data Science Professional Certificate
  • Applied Data Science Specialization

Course Instructor

Joseph Santarcangelo, a Data Scientist at IBM, designed this Data Analysis Python Course to prepare the students for performing statistical and data analysis on the data. It’s not limited to learning only data analysis fundamentals. You will also develop knowledge of how to use machine learning algorithms for manipulating the data.

What You’ll Learn

This IBM Data Analysis Course has 6 modules which will teach Python concepts and each module finishes with quizzes and learning exercises. 

  1. Importing Datasets: This module will teach how to use Python’s libraries to import data from various sources and discover how to carry out a few fundamental tasks such as examining the imported data set.

  2. Data Wrangling: In this module, you will understand how to carry out basic data wrangling operations and collectively make up the pre-processing stage of data analysis.

  3. Exploratory Data Analysis: In this module, you will learn exploratory data analysis entails and basic descriptive statistical data, such as mean, median, mode, and quartile values, etc.

  4. Model Development: In this module, you will learn the differences between multiple linear regression and basic linear regression. Additionally, you will discover pipelines, polynomial regression, and how to run in-sample analyses and use the R-squared.

  5. Model Evaluation: The module will teach model evaluation and methods for data model refinement. Additionally, you will discover how to spot overfitting and underfitting in a predictive model.
  6. Final Assignment: With this session, you will work on your last assignment as a data analyst and work for a real estate investment trust company. 

Pros & Cons


  • Free to enroll anytime
  • Coursera Labs: practical projects
  • Certificate on Completion


  • Less resources to practice
  • No live sessions

Key Highlights & USPs

  • Learn to use Python libraries such as Numpy, Pandas, and Scipy on sample datasets.

  • How to use Pandas Python library for manipulating and visualizing the data.

  • Create data visualization dashboards using Numpy and visualize certain patterns to know the trends for better business results. 

  • Build smart models using Scikit-learn, an open-source Python library. 

  • Discover principles of machine learning that are further used for building regression models and making predictions. 

  • Get access to graded assignments, online labs, and video lectures.

Who is it for?

Professionals or graduates can apply for this Data Analysis Python Course who wants to apply for the role of Data Analyst. This beginner Data Analysis Course does require working knowledge of Python and Jupyter Workbooks. With the completion of course, you will master the art of using Python code for analyzing, manipulating, and visualizing datasets.

Rating: 4.7/5
Students Enrolled: 206,770
Duration: 14 hours

Coursera 7-Day Trail offer

Python for Analytics [National University of Singapore]

This Python for Analytics offers you an opportunity to gain Python skills to code business applications. You will learn how to use Python packages such as NumPy, Pandas, Matplotlib, and Seaborn for programming analytics. It will give you a general overview of descriptive and predictive analysis and tell you the difference between these two types of analytics.

This whole Python training program is divided into two sections: The first section has five modules on Python programming with lab projects. The second section comprises 7 -10 modules on Data Analysis with Python.

Course Instructor

Xiong Pend and Eli Yi-lang tung are the faculties of the National University of Singapore. This Python for Data Analytics program will develop a foundation of knowledge of data analysis empowered by Python programming skills. It gives a competitive edge to you when you join the job market.

Key Highlights & USPs

  • Learn to install and use Python packages to evaluate and extract essential data insights. 

  • Create, manipulate, and collect data insights from data structures using Pandas Dataframes.

  • Explore how to gain business insights using data visualizations. 

  • Build types of plots and graphs with Matplotlib, Scipy, and Numpy for visualizing the data. 

  • Discover the methods to apply the probability to build your foundation of predictive analytics. 

  • Get access to 118 recorded video lectures, 18 live online sessions, 13 discussion boards, 10 assignments, and 10 practical activities.

Who is it for?

If you are a professional, why don’t give it a try to get a hands-on understanding of Python and data analytics? Managers, Business or financial analysts, and business owners to hone their data science skill set. This NUS Business School Python for Data Analysis Course provides a digital certificate of completion to all the participants.

Rating: 4.4/5
Duration: 3 months, 7 hours/ week

Analyzing Data with Python [edX]

edX Analyzing Data with Python Course tells the entire process of Data Analysis that includes importing, manipulating, analyzing, and visualizing large datasets. You can learn how to analyze data in Python. It provides a way to study how to use multi-dimensional arrays in the Numpy and Scipy library of mathematical routines. During this Online Python training, you become able to manipulate the data frames using Python’s Pandas Library and perform machine learning using Scikit-learn.

Course Instructor

Dr. Joseph created this IBM Data Analysis Professional Certificate for students who are willing to participate in the world of data science and analysis. He is a data scientist and working as a Head at IBM. If you attend this course, it would be a good use of time while upgrading your career.

Pros & Cons


  • Enroll for free 
  • Get a digital badge from IBM


  • Paid Certificate

Key Highlights & USPs

  • The Analyzing Data with Python Online Course includes five modules, namely:
    • Importing Datasets
    • Cleaning and Preparing with Data
    • Summarizing Data Frame
    • Model Development
    • Model Evaluation

  • Learn to load data sets and clean them for data analysis.

  • Prepare data for analysis and further build data pipelines.

  • Gain knowledge of using Pandas Dataframes, Numpy multidimensional arrays, and Scipy libraries to carry the processing of the real data. 

  • Create visualizations using an open-source Python library. 

  • Develop a deep knowledge of building machine learning models and making predictions with Scikit-learn. 

  • How to develop models for decision-making and evaluate them using a ridge regression method.

  • Understand how to develop models for decision-making and evaluate them using a ridge regression method.

Who is it for?

You can enroll in this beginner-level Python for Data Analysis Tutorial with  some experience in Programming and knowledge of fundamental Python. With the completion of this course, you will get prepared to analyze data using Python libraries and practice machine learning using Scikit-learn.

Rating: 4.5/5
Students Enrolled: 121,470
Duration: 5 weeks, 4 hours/ week

Learning Python for Data Analysis and Visualization [Udemy]

This Python for Data Analysis Course offers you the resources to learn Python and use it for data analyzing and visualizations. It will develop a better understanding of how to program in Python and use libraries. You get to build modules to manipulate data arrays using Python libraries such as Numpy and Pandas. Python is a simple language for data Visualization. You get to know visualization tools to create and structure data.

Course Instructor

Jose Portilla has prepared this Udemy Python Data Analysis to give an insight into present data trends and visualize them to solve real-world problems. It will introduce powerful Python libraries: NumPy, Pandas, Seaborn, and Matplotlib. You get to learn with the best instructor and get a deep knowledge of Python.

Pros & Cons


  • Budget and Short Course
  • Certificate on Completion
  • Get unlimited access


  • Not updated recently
  • Require basic to intermediate Python Skills

Key Highlights & USPs

  • This Udemy Python for Data Analysis Training Course is divided into 15 sections and consists of 110 video lectures on analyzing and visualizing data using Python.

  • Develop an intermediate-level skill in Python programming and learn to create and manipulate arrays using Numpy.

  • Get to work with different data formats within Python including JSON, HTML, and Excel.

  • Build knowledge on how to Install Jupyter Notebooks and analyze large datasets.

  • Create dashboards for data visualizations using Matplotlib and Seaborn libraries.

  • Get lifetime access to 100 example python code notebooks, 3 articles,  4 downloadable resources, and hours of video lectures.

Who is it for?

The Python for Data Analysis course is for anyone interested in learning more about python, data science, or data visualizations. It is a great way to experience the world of data science with basic Python and math skills.  With this course, you will have the opportunity to practice on various data analysis projects in order to prepare for the future.

Rating: 4.7/5
Students Enrolled: 176,548
Duration: 21 hours/week

Udemy New Customer Deal
Valid till: 1st Feb

Introduction to Python [DataCamp]

Datacamp gives you an introduction to Python for Data Analysis in a simple way. You will learn the basics of data analysis in Python. Python is an object-oriented programming language used to extract insights from data. You will learn a new skill set to store and manipulate data using data analysis tools such as Numpy. It is one of the best Datacamp Courses that consists of four parts to teach Python specifically for Data Science.

Course Instructor

The Creator and Data Scientist at Datacamp, Hugo Bowne, has created this Exploratory Data Analysis Python course to expand your knowledge and gain a competitive edge in the IT industry. Python is a popular toolkit among data scientists for its interactive scripts in conducting analyses. It will prepare you with data analytical skills and how to acquaint yourself with basic Python concepts.

Pros & Cons


  • Get exercises and videos


  • No practical projects to implement your skills
  • No certificate included

Key Highlights & USPs

  • This Basic Python Course is designed with four chapters to cover each topic deeply.
    • Python Basics
    • Python Lists
    • Functions and Packages
    • NumPy

  • Learn to create your first variables and use data types in Python scripts and use lists to store, clean, and manipulate data using methods like slicing.

  • Learn to create your first variables and use data types in Python scripts.

  • How to use lists to store, clean, and manipulate data using methods like slicing.

  • Understand how to handle a large amount of data and work with them efficiently. 

  • Leverage the code by using functions, loops, packages, and libraries. 

  • Discover how brilliantly Python developers can reduce the amount of code to use solving problems. 

  • Gain knowledge of Numpy and data arrays to explore the datasets from baseball matches and football matches. 

  • Free access to 11 video lectures and 57 practice exercises to sharpen the practical skills.

Who is it for?

This Python for Data Science course is available for learners with prerequisites for basic programming skills or who want to jumpstart their career in Data Science. Moreover, beginners and programmers can take this course to become part of the booming data science industry.

Rating: 4.4/5
Students Enrolled: 3,345, 936
Duration: 4 hours

50% OFF Datacamp
Offer till 1st Feb

Intro to Data Analysis [Udacity]

Intro to Data Analysis is the introduction to data analysis using Python libraries such as Numpy and Pandas. You will learn how to go through the whole process of data analysis. It describes to you the core concepts of Python programming that make data analysis easier. You will explore data wrangling, exploring the data patterns, creating visualizations, and communicating the predicted results. In the end, you will be able to write programs that are concise, clear, and compile faster.

Course Instructor

The instructor, Carolina Bukey, will guide you in this Udacity Data Analyst Free Course. It is designed for the students to train for the Data Analyst Nanodegree Program. It is the first step towards the world of Machine Learning, App Development, Data Science, etc.

Pros & Cons


  • Highly-curated content
  • Featuring industry experts as instructors
  • Certificate on Completion


  • Need understanding of Python

Key Highlights & USPs

  • This course is divided into four modules to build your knowledge about data analysis using Python libraries such as Pandas and NumPy.
    • Data Analysis Process
    • NumPy and Pandas for 1D data
    • NumPy and Pandas for 2D data
    • Investigate a Dataset

  • Learn to pose a question and wrangle the data to draw conclusions. 

  • Discover how to use Numpy arrays, Pandas Series, and vectorized operations. 

  • How to apply Python libraries on one-dimensional and two-dimensional data. 

  • Create groups of data from various files and combine them.

  • Learn to use Numpy and Matplotlib to investigate the sample of datasets.

  • Get free access to instructional videos, coding exercises, and technical mentorships.

Who is it for?

This Udacity Data Analysis using python Course is the best way for beginners to start their journey towards a data analytics career. It is for those who want to understand the data analysis process and also have a little experience with Python. If you are not familiar with Python basics, you can check the Best Python courses online.

Rating: 4.5/5
Duration: 6 weeks

Udacity 50% Offer

Python Data Analysis [LinkedIn Learning]

LinkedIn Learning has become one of the best e-learning platforms for professionals and students. It brings you free and paid courses to jumpstart a new career or switch your skills for better job opportunities. Here, You will get Python Essential Training on Linkedin. You will learn to set up a Jupyter notebook environment for coding in Python and a couple of powerful Python libraries for data analysis – NumPy and Pandas.

Course Instructor

Michele Vallisneri is the instructor of the Linkedin Data Analysis Course. As an expert, he will teach how to work with data structures in Python. He is going to guide you throughout the course and help you with the two big-data projects. So, you become a pro in analyzing the data and solving the problems.

Pros & Cons


  • Short and concise course
  • Certificate on Completion


  • Not in-depth course

Key Highlights & USPs

  • The LinkedIn Learning platform has divided this data analysis using python course into 7 lessons to teach step-by-step.

  • Learn to install Anaconda Python on windows and write code with Jupyter Notebooks. 

  • Build knowledge of using data structures in Python.

  • Get to work on Anagrams and palindromes. 

  • Create Numpy arrays for storing and manipulating the data.

  • Gain practical knowledge by using Numpy to identify and visualize weather patterns.

  • Learn to use Panda data frames to analyze the data. 

  • Discover methods and techniques of using Python on real case studies, for eg, the Popularity of baby names.

Who is it for?

The Python for Data Analysis training is suitable for anyone who wants to get started with data science using Python. Additionally, this training course is for experienced Python developers who have previously worked on Python projects.

Rating: 4.5/5
Students Enrolled: 82,512
Duration:  2 hours 30 minutes

Getting Started with Data Analysis Using Python [Pluralsight]

Take a step forward to learn about this Data Analysis using Python Course. You can get to begin with the basics of Data Analysis and how its process works. You will start by collecting, analyzing, and processing the data to drive conclusions from it. Each industry and organization is adapting Data Analysis to solve business problems and find out new trends. There are some data analysis python libraries to use for manipulating the data and creating data visualizations. You will be familiar with data structures that are widely used.

Course Instructor

This Pluralsight Data Analysis Python Course will be taught by the talented instructor, Terry Toy. He has 15+ years of experience in software development and worked on government and enterprise projects. You will get trained in Python to apply for data analysis and drive insights from stock market data. It is a step forward to becoming part of the Data Science Industry.

Pros & Cons


  • Short duration course
  • 10 day trial
  • Certificate on Completion


  • Need more practical examples and in-depth information

Key Highlights & USPs

  • Learn how to load, clean, persist, analyze, and visualize on stunning dashboards. 

  • Discover  Python data structures like tuples, dictionaries, sets, and lists for organizing and storing the data.

  • Understand how to work with CSV files and SQLite ( a relational database) for collecting data.

  • Get to apply data structures and Python skills on stock market data to predict future prices.

  • Explore Pygal Python library for creating scalable vector graphics in different styles to draw the data visualizations.

Who is it for?

This Data Analysis Python Course will familiarize you with excel spreadsheets and are interested in Python skills. This is the right place to start. After you complete this course, you’ll be able to efficiently create stunning charts and graphs using Python data analysis.

Rating: 3.8/5
Students Enrolled: 24,682
Duration: 2 hours 30 minutes

Free Python Basics for Data Analysis [open classrooms]

Open classrooms tell you to write your programs or data science algorithms. You are going to use Python programming for data analysis. It will allow you to structure and group the data using data types. You will learn about Python Basics to fasten the process of Data Analysis and bring out the desired results.

Course Instructor

Benjamin Marle and Olga Volkova are the instructors of this Openclassrooms Data Analysis Python Program. The instructors are highly experienced developers and Data Scientists. The open classroom has designed this fascinating online data analysis course to create limitless opportunities to enhance the students’ knowledge and train them for the thriving job market in data science and machine learning.

Pros & Cons


  • Career-focused projects
  • Individual mentoring
  • Certificate of achievement


  • Easy course but with less examples

Key Highlights & USPs

  • Learn to use Jupyter Notebooks to run Python code.

  • Understand how to use numeric and string data types in Python.

  • Create lists and dictionaries for storing data as variables. 

  • Practice managing program logic using Python.

  • Get to write functions with modules and packages in Python to save time.

  • Enjoy unlimited access to quizzes at the end of each lesson to turn your knowledge into skills.

Who is it for?

This complete beginner python for data analysis training is for beginners who don’t have any experience with Python. However, you should have basic knowledge of command-line manipulations and object-oriented programming. With this program, you will be able to create computer programs or build algorithms for data analysis.

Rating: 4.3/5
Duration: 6 hours

Data Analysis with Python []

Prepare yourself for Data Analysis in Python with You will learn to explore different types of data using a general-purpose programming language. It will train the students to perform Python skills on analysis, perform statistical analysis, create data visualizations to predict the future. This Data Analytics Course will teach about data acquisition and how to obtain insights from large data sets.

Course Instructor

This Data Analysis masterclass will help you in mastering the core concepts of data analysis and the advantages of using Python libraries like Numpy, Pandas, Scikit-learn. You will study with the best instructors – Joseph Santarcangelo and Mahdi Nooriar to boost your analysis skills and get confidence in Python programming to handle the data.

Key Highlights & USPs

  • How to import, clean, and prepare datasets for data analysis. 

  • Learn to manipulate Pandas Dataframes. 

  • How to use NumPy arrays for multi-dimensional data and Scipy for a relational database.

  • Build visualizations using Python’s open source library- Scikit-learn and make data pipelines. 

  • In the end, you will be able to build smart machine learning models using algorithms.

  • Get access to video lectures, hands-on labs, and graded assignments.

Who is it for?

The Best Data Analysis using Python Course is for learners with Python programming experience and have knowledge of Python for Data Science. You can enroll for free and enhance your knowledge for the future.

Rating: 4/5
Duration: 3 hours

Frequently Asked Questions

How is Python used in data analysis?

Python is simple to use in data analysis. It’s a general-purpose programming language that has a collection of built-in modules to make it easier for data scientists and business analysts to solve complex tasks. There are countless libraries like Matplotlib, Pandas, and Numpy available for data cleaning to data visualization tasks.

These libraries work for different steps in the data analysis process:

• Numpy supports mathematical tasks and multidimensional arrays. 
• Pandas library is used for data manipulation and data cleaning. 
• Matplotlib is used to simplify the data visualization.
• Seaborn allows for visually appealing statistical graphs and plots. 
• Scipy works for scientific computing and statistical tasks.
• Scikit-learn is used for machine learning tasks.

Hence, Keras, Pytorch are the recommended libraries for various API and deep learning processes.

How do I start data analysis in Python?

You can take the best data analysis in Python courses to start with data analysis in Python. I have mentioned the list of Data Analysis courses for learning data analysis and how Python programming is used in processing the data. With basic knowledge of Python, anyone can start with data analysis at any time.

Is Python good for data analysis?

Python has gained popularity due to its libraries that make coding easier for cutting-edge technologies like data analysis, machine learning, and AI. Python is an open-source language, which means basic syntax is easy to follow and write.

Data Science tasks are cumbersome and time-consuming to code from scratch. Here, Python works as a magical tool with pre-built codes to quickly process the programs.

Final Words

I bet this article helped you to find out one suitable course for you. As mentioned above, a few of the courses are available for free. Some will charge an amount of token money for certifications after completion.

The above list has a compiled set of courses from top universities and e-learning platforms. Whether your goal is to land a job or become a data analyst, these Best Python for Data Analysis Courses would help to achieve a deep knowledge of Python.

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