Best Python Data Science Courses & Certification

  • Post last modified:27 November 2021
  • Reading time:19 mins read

If you are exploring new career opportunities, you should learn Python for Data Science. Are you a Data Scientist looking to learn Python for development? Then, you have come to the right place.

Today, I am excited to discuss the Best Python Data Science Courses and Certifications for you. In 2018, more than 66% of data scientists adapted Python by making it the number one language for data science. In 2020, there was three times increase in job openings for data science. Learning Python Data Science is like a cherry on the cake. It can add value to your job profile.

11 Best Python Data Science Courses and Certification

Python for Data Science, AI & Development [Coursera]

Python is best known for its simplicity and understandability. It is just another better language to write programs for Data Science, AI, and Machine Learning. This Coursera Data Science Python Course is the best place to learn Python and build your programming knowledge. You will get to apply Python fundamentals for retrieving data, visualizing and making better business solutions. With this best free online course for Python data science, you will explore the concepts of Python such as variables, data structures, data collection, and more.

This Python for Data Science Coursera Program is designed by IBM and taught by Joseph Santarcangelo, a Data Scientist at IBM. It will transform you from Zero to Expert in Python programming. You can build machine learning models and data science applications using Python.

Key Highlights & USPs

  • Learn to install Python and write your first program.
  • Understand the concept of storing data values using data structures and dictionaries. 
  • Discuss the fundamentals of Python programming such as implementing loops, creating functions & classes, and perform exceptional handling.
  • Learn to read and write files in Python.
  • Discover the set of Python libraries to use for data manipulation and mathematical operations. 
  • Develop knowledge to collect data using APIs and web scraping for data analysis. 
  • It will polish your skills through hands-on exercises and a final project.

Who is it for?

This online course gives the best introduction to Data Science in Python on Coursera. It’s a beginner-friendly program that requires no prior programming experience. Learning Python can expand your knowledge and apply Python to multiple specializations or certification programs of machine learning and data science. Upon completion of the above courses, you will receive a certificate from Coursera and a digital badge from IBM as a recognition of your expertise.

Rating: 4.6/5
Students Enrolled: 324,157
Duration: 17 hours

You can Sign up Here

Python A-Z™: Python for Data Science [Udemy]

Learn A to Z about Python programming for data science and data analytics. ! This Udemy Python for Data Science Program introduces you to the concepts of statistical analysis, data mining, and data visualization. It will teach you the core programming principles of Python at the next level. You understand how to create lists, use functions and tuples in Python for collecting data, storing data, and analyzing them. You will use packages and libraries of Python such as Numpy and arrays.

Kirill Eremenko, a data scientist and author of this Python Data Science Tutorial for students to learn Python step-by-step. It covers the valuable fundamentals that you can apply in data science and data analysis. This Python training program is packed with live examples to teach you how to solve problems using analytical skills.

Key Highlights & USPs

  • Learn to write and read programs in Python.
  • Understand how integers, floats, and other data types work in programs.
  • Install Packages in Python and use Jupyter Notebooks for Coding.
  • Learn to use data frames for importing Data into Python.
  • Build dashboards with Seaborn, Python library for data visualization.
  • Improve programming skills by working on real-life projects like world trends, movie domestic percentage gross. 
  • Get unlimited access to six articles, 11 hours of on-demand video, and homework after each course.

Who is it for?

This Udemy Data Science Course is for all people from any academic background and profession. Even If you have no programming or statistical knowledge, you can become a data scientist with this course. In the end, you get a shareable certificate of completion. Enrol now to kickstart your journey in the field of data science.

Rating: 4.6/5
Students Enrolled: 132,430
Duration: 12 hours

You can Sign up Here

Programming for Data Science with Python [Udacity]

Udacity brings you an online Data Science with Python Course to prepare you for a data science career. You will learn about data programming tools such as Python, SQL, command line, and Git. This Python Nanodegree Program will teach how to use Python and SQL to scrape data and store them for solving complex business problems.

Learn this Udacity Python Course with the best team of data scientists and instructors for your future. This Python for Data Science course enables your programming skills for Data Science and gets ready for future data analytical jobs. As per the survey, 59% of companies that plan to build job positions will require data scientists and data analytics to make their business perform better.

Key Highlights & USPs

  • Learn SQL fundamentals such as subqueries, Joins, and Aggregations.
  • Understand concepts of Python programming such as data structures, variables, loops, and functions.
  • Get to work with data using powerful Numpy and Pandas Python libraries.
  • Gain knowledge of how to use control and apply real-life examples.
  • Master the tech skills by performing on real-world projects and get feedback from experienced reviewers. 
  • Share your work on GitHub and introduce your expertise in the data science industry.

Who is it for?

It is one of the Best Udacity Data Science Nanodegree Programs for programmers and students with no prerequisites knowledge. If you have basic computer skills, this course is right for you. Enroll now to learn to code in Python and SQL.

Rating: 4.5/5
Duration: 3 months

You can Sign up Here

Python for Data Science and Machine Learning Bootcamp [Udemy]

Udemy Python Data Science Course teaches you to use Python libraries such as Pandas, Seaborn, Numpy, Scikit-Learn, TensorFlow, and more. You will learn about the general-purpose programming language and its use in analyzing data, creating a visualization, and writing algorithms for machine learning. This Data Science with Python course covers all the topics to get a deep knowledge of how data science and machine learning use Python to solve the world’s problems.

Jose Portilla is the author and instructor who included each piece of information to enhance your knowledge. It is packed with hundreds of HD video lectures and detailed code notebooks for every lecture. This Comprehensive program has both beginner and intermediate-level courses to learn how Python in Data Science works.

Key Highlights & USPs

  • Learn to use Pandas for Data Analysis and Seaborn for statistical plots.
  • Develop an understanding of machine learning fundamentals such as logistic regression, neural networks, linear regressions, and so on.
  • Learn How to use Scikit-Learn for machine learning tasks. 
  • Use Python’s libraries like Matplotlib and Seaborn for Data Visualization.
  • Create in-built interactive and dynamic visualization to visualize patterns in datasets.
  • Understand Natural Language Processing and Spam filters to work with machine learning models.
  • Get full lifetime access to 25 hours of on-demand video, 13 articles, and five downloadable resources.

Who is it for?

It is an intermediate-level Python Course that requires at least some programming experience. It is one of the Best Python for Data Science Courses to get a rewarding career in Data science and machine learning. You will earn a certificate of completion that can be shared and used to showcase your expertise.

Rating: 4.6/5
Students Enrolled: 475, 119
Duration: 25 hours

You can Sign up Here

Applied Data Science with Python (University of Michigan) [Coursera]

This Data Science with Python Specialization introduces the learners to data science with Python. It consists of five courses to teach you how to implement statistical, text analysis, information visualization, and social network analysis techniques. You will learn about popular Python toolkits such as Scikit-Learn, Panda, Matplotlib, and others to scrape data from sites and visualize them to get insights. The University of Michigan will take you from beginning to advanced chapters of Applied Data Science.

Christopher Brooks and other 3+ instructors created this Applied Data Science with Python Specialization for students to gain deep knowledge and apply data science methods. You need to cover all five courses to become an expert.

Key Highlights & USPs

  • Learn the basics of Python programming techniques such as Lambdas, data manipulation, and cleaning data to get statistical analyses. 
  • How to apply the plotting, charting, and data representation in Python.
  • Develop knowledge of how to improve data analysis strategies with applied machine learning methods.
  • How Python helps to handle text mining and text manipulation using the Nltk framework. 
  • Grasp the understanding of how the Networkx library is used for social network analysis and explore the connectivity of networks.
  • Get to perform on hands-on projects after completing each course.

Who is it for?

This Coursera Python Course for beginners is for those who are seeking a path to become a data science expert. Any student can enroll in this Python Data Science Course Free with no programming experience or academic knowledge of Python. You will earn a certificate from University of Michigan and license to apply data science for web applications using Python.

Rating: 4.5/5
Students Enrolled: 297,308
Duration: 5 months

You can Sign up Here

Introduction to Python for Data Science [Datacamp]

Datacamp gives you an introduction to Python for Data Science 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. This Datacamp Data Science with Python Syllabus consists of four parts to teach Python specifically for Data Science.

The Creator and Data Scientist at Datacamp, Hugo Bowne has created this 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.

Key Highlights & USPs

  • 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 free 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. It’s a beginner-level course for students and professionals to become part of the booming data science industry.

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

You can Sign up Here

Complete Data Science Training with Python for Data Analysis [Udemy]

This Data Science Training Course is a complete guide for you to learn data science using Python. It’s a full 12 hour Python Data Science Bootcamp to teach you statistical modeling, data visualization, and deep learning in Python. It covers all the aspects of Python and its packages used for storing, mining, cleaning, and manipulating data. It helps you with the implementation of Python-based data science methods on real-life data to solve business challenges.

This Udemy Data Science Tutorial is created by Minerva Singh to share a complete knowledge of advanced data science techniques and how to use Python-based Jupyter Notebooks for coding. It will equip you with skills to perform different statistical data analyses and visualization for data modelling. Students will get a deep understanding of data science techniques and the best technique to interpret the data.

Key Highlights & USPs

  • Install Anaconda and work with the framework Jupyter Notebooks for data analysis.
  • Discover data science techniques for web scraping and cleaning data from different sources.
  • Learn about statistical techniques such as linear & logistics regression and Python packages such as Numpy, Pandas, Scikit, etc.
  • Know how to implement supervised and unsupervised techniques on real-life data.
  • Carry out the data exploration tasks such as Tabulation, pivoting, and data summarization in Python.
  • Develop knowledge of how to build neural networks and deep learning algorithms. 
  • Get full access to 13 hours of on-demand video, six articles, and one downloadable resource.

Who is it for?

You can enroll in this Data Science in Python Bootcamp with no prior experience in Python and machine learning required. With 24/ 7 guidance from technical mentors and hands-on projects, you will become proficient in machine learning and deep learning using python. After successful completion, you will earn a certificate to showcase your expertise.

Rating: 4.3/5
Students Enrolled: 8K
Duration: 12 hours

You can Sign up Here

Python Basic for Data Science [edX]

If you don’t know where to get started with Python, then this Python Basic for Data Science is the perfect option for you. You will learn the basics of Python programming and be able to write your first set of instructions. IBM offered this online python tutorial to prepare you for creating your own Python scripts for data science.

Joseph Santarcangelo is an IBM data scientist who designed this course to give a taste of how to work with data in Python. Data Science is the field of studying raw data and analyzing them to make better decisions. Python is a useful tool to extract data and filter valuable information from them.

Key Highlights & USPs

  • Learn what Python is and how it is used for data science.
  • What is the Python application that works for data science?
  • How to define variables and data types in Python.
  • Understand et and conditional statements.
  • What is the purpose of using functions in Python?
  • How to read and write files in Python.
  • Grasp a firm hand on using Pandas library for performing data analysis.

Who is it for?

This edX Python for Data Science is a beginner-friendly course that provides enough study materials and practice exercises through lab exercises. Learners who will complete this IBM course earn a verifiable and digital credential that skills acquired. In the end, you will get a digital badge that helps you to get a job.

Rating: 4.5/5
Students Enrolled: 400K
Duration: 5 weeks, 5 hours/week

You can Sign up Here

Python for Data Science Course [Datacamp]

This Datacamp Anaconda Python Course is to get started with Python and learn the essential Anaconda skills for data science and machine learning. If you don’t know a single dime about Python, this course provides a perfect track for beginners. You will understand aspects of Python and how it is used to automate complicated tasks. Anaconda is the most popular Python distribution platform used by 25 million users worldwide. It is a data science toolkit that equips Python packages and libraries to build machine learning models.

This free Python Course for Data scientists is created to join the world of data science and upgrade your career to a new level. You will gain practical knowledge of how Anaconda works with Python open-source libraries such as Scikit-learn, Pytorch, and Tensorflow.

Key Highlights & USPs

  • Learn how to install Anaconda Python  on your computer.
  • Introduction to the Unix command line and know how to run programs on clouds.
  • Build an understanding of how to combine existing programs in new ways and automate repetitive tasks. 
  • Introduce version control with Git to store information and explore a repository history. 
  • Create interactive and versatile data visualization using Bokeh. 
  • Improve coding skills by watching videos and practice on real-world examples under the guidance of expert instructors.

Who is it for?

It’s a free Datacamp Python Course to accelerate your career. Anaconda is easy to download and use to share your code on clusters. This Python tutorial is for beginners in partnership with Anaconda to start learning for free. You can add this valuable skill to your resume by grabbing this one-time opportunity.

Rating: 4.4/5
Students Enrolled: 6.7 million
Duration: 12 hours

You can Sign up Here

Data Science with Python Certification Course [Simplilearn]

This Simplilearn Data Science with Python Certification is a complete package of Data science techniques using Python tools. Python is the second most popular language among data scientists and programmers. You will get to the acquired knowledge of the fundamentals of Python and master its programming skills while working on four industry-based projects. It will teach you how to practice exercise using Jupyter Notebooks labs.

This Data Science with Python Curriculum is a step-by-step guide to learn data analysis, machine learning, data visualization, web scraping, and Natural language processing( NLP). There would be thousands of job openings in India by 2025. Any Python programmer will have an advantage in this.

Key Highlights & USPs

  • It gives an overview of concepts of data science and data analytics.
  • Learn about Statistical Analysis and Business Applications.
  • Set up a Python Environment and learn to write programs.
  • Understand how Numpy and Scipy work for scientific and mathematical computing. 
  • Use Pandas for data manipulation to get insights to solve problems.
  • Import Scikit-learn library for machine learning and natural language processing.
  • Create interactive and dynamic data visualization using Matplotlib.
  • Practice integrating Python with Hadoop MapReduce and Spark.

Who is it for?

This Data Science with Python Course is well suited for participants from any profession or academic background. It is a must-learn opportunity for professionals who are willing to expand knowledge in the field of Python and analytics. Having a basic understanding of Python would be beneficial for you. In the end, you will receive an industry-recognized certificate with lifelong validity.

Rating: 4.5/5
Students Enrolled: 25,702
Duration: 68 hours

You can Sign up Here

Master Python for Data Science [Linkedin Learning]

Linkedin Learning provides a pathway to master Python for Data Science. You will quickly learn the Python programming language to apply for data science development. This Linkedin Python Class helps you to build analytical skills to explore the scientific aspects of Data Science. It comprises a set of 10 courses to make you a proficient data scientist. You will explore the Python Scientific Stack tool to complete data science tasks.

You will become an expert in Data Science Python with the guidance of data scientists and tech experts. This Linkedin Learning Data Science program has a sorted curriculum to teach you everything from the basics of object-oriented programming principles and powerful methods of Python.

Key Highlights & USPs

  • Learn how to use Python tools and techniques to solve business challenges.
  • Develop skills to write scripts, create modules, and integrate a database with Python 3.
  • Discover the ways to clean, transform, analyze, and visualize data. 
  • Use machine learning methods to generate predictions and automate routine tasks.
  • How to use Python’s Libraries such as Numpy and Pandas to analyze data sets.
  • Explore data, ingest data, and visualize data using Python.
  • Build accurate and engaging dashboards for data visualizations

Who is it for?

This online python for data science course is suitable for beginners and intermediate programmers looking for the Best Data Science in Python courses to extend their basic analytical knowledge. You will earn a certificate for completing ten items of learning content.

Rating: 4.4/5
Duration: 1 day, 5 hours

You can Sign up Here

FAQ

Is Python important for data science?

Python has become a preferred tool for data scientists for business challenges. It provides functionality to deal with mathematical and statistics functions. It has a large set of libraries to perform complex tasks and build data science applications. This simple and accessible programming language reduces the time of execution and increases the productivity of doing complicated tasks.

Which is better R or Python for data science?

R and Python are both open-source programming languages that are well-suited for data science tasks. The only main difference is that Python is a general-purpose programming language used for data analysis and building data science applications, whereas R is used for deep statistical analysis.

If you have no programming experience and are looking to make a career in data science, Python is the best-to-go tool. If you are a statistician and can understand the advanced functionality of R, you can go for R programming for data exploration and experimentation in data science.

Is Python data science easy to learn?

Yes, Python is easy to learn and a good language for beginners. It has a simple syntax to read that makes industries use it for analytical research within web applications.

You can take any best python data science course from the above list discussed in detail with you. If you want to learn only Python, you can take the Best Python courses and Certifications from GreekTonight.

Can I get a job with a data science certificate?

Yes, you can get a job with a data science certificate from any popular website and institution such as Udemy, IBM, University of Michigan. Online Courses like the IBM data science professional certificate on Coursera can help you to get the desired job or get hired for an associate-level post in the field of data science.

How much can you make with a data science certificate?

A data scientist can easily make between $ 95,000 – at high, $ 250,000 with a data science certificate.

Thank you for Reading! I hope you enjoyed the article on the Top Python for Data Science Courses and Certifications. If you are ready to take these courses, I would like to suggest you learn Python courses. I will shortly come with new topics related to Python, Data Science, and Artificial Intelligence. If there’s any course you want to mention, you can let me know in the comment section below. Keep Reading and subscribe to our newsletter for more updates!

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