Hello guys, if you want to learn Data Science with Python and looking for the best Python courses for Data Science, then you have come to the right place. In the past, I have shared the best Python courses for beginners, best Python books, websites, and Python projects, and in this article, I am going to share the best Python course for Data Science. If you want to become a Data Scientist or just want to take your Python skills to the next level from a data science point of view, you can join these courses. I have created these best Python courses from popular websites like Udemy, Coursera, and Pluralsight. I have also included python courses for both beginners and intermediate Data Scientists. They not only cover python but also essential Python libraries for Data Science like Pandas, NumPy, etc.
Suppose you love the IT industry and want a promising career. In that case, I recommend learning data science using python programming language since this industry is known as the sexiest job of the 21st century with a salary of up to $95,000 and even more if you are an experienced data scientist. This article will suggest some of the best courses to teach you data science as a beginner using python.
5 Best Python Courses For Data Science Beginners in 2022
Without wasting any more of your time, here is a list of the best online courses to learn Python for Data Science
This course is designed for people with some experience with the python language and professional data science who want to enhance their skills in this industry. Jose Portilla will be your instructor, who included every detail in his videos to make you understand this complex topic with over 25 hours of video content and a 4.7 rating score.
Starting the course with a small introduction to the python language, you will use the NumPy library for mathematical calculation, pandas for working with data, matplotlib for data visualization, and seaborn for statistical and geographical plotting.
Next, you will learn machine learning and algorithms such as K Nearest Neighbors, decisions trees, random forests, support vector machines, and create some projects with machine learning.
The instructors create this course for python developers who want a complete BootCamp to learn data science & machine learning from an industry expert or a professional who wants to extend his skills in this industry. This Bootcamp contains 43 hours of video content with more than 53k enrollment and a 4.7 rating score.
It starts the course by understanding machine learning and how it works, then learning using its algorithms with python and the different problems that machine learning can solve.
Next, set up your data science environment and start using pandas for working with data and matplotlib for visualization. You will also learn to use the Scikit-learn package and use its different types: classification, regression with deep learning using Tensorflow.
This specialization offered from Michigan University through the Coursera platform contains five miniature courses teaching you how to get an insight into your data and apply machine learning algorithms to make predictions.
This course is popular on the Coursera platform to learn data science, with over 300k enrollment and a 4.5 rating score. You are starting the course by learning how to use pandas to work with data and CSV files and learn various statistical techniques.
Next, learn how to use the matplotlib library for data visualization and the sci-kit-learn library to apply machine learning techniques such as logistic regression and random forests to your data. Finally, work with natural language processing and apply social network analysis using python.
By the way, If you are planning to join multiple Coursera courses or specializations, then consider taking Coursera Plus subscription, which provides you unlimited access to their most popular courses, specialization, professional certificate, and guided projects. It costs around $59 per month, but it's completely worth your money as you get unlimited certificates.
A good course on Pluralsight teaches you data science using python and deep diving into this topic and working on data science projects such as processing data, applying machine learning models, and evaluating your models. This course will be easy for you if you have some experience in the python programming language and its libraries but not required.
Start the course by understanding the data science fields and how it works and setting up your environment, such as installing the IDE. Next, you will learn to extract data from the database and scrape them from the internet.
Then, learn some statistical concepts and the variety of distributions and use pandas for pre-processing data. Finally, apply machine learning algorithms and techniques to your data for predicting.
You would need a Pluralsight membership to join this course which costs around $29 per month or $299 per year (14% discount). I highly recommend this subscription to all programmers as it provides instant access to more than 7000+ online courses to learn any tech skill. Alternatively, you can also use their 10-day-free-pass to watch this course for FREE.
5. Python Data Science [edX]
If you want to have good experience in data science, you maybe need to look at this Python Data Science professional certificate offered by the IBM team through the edX platform. This program contains six courses with no prior experience required since you will learn python language on this course.
You are starting with a crash course on python, such as data types, expressions, data structures, working with files, and object-oriented programming. Next, learn to use different libraries such as pandas for processing data, NumPy for working with arrays, and sci-kit-learn for making predictions.
You will learn to visualize your data using matplotlib, seaborn, and Folium for geographical plotting. Finally, learn about different machine learning techniques with a capstone project at the end of this course.
Thanks for reading this article! I hope you enjoy this 5 Best Python Courses For Data Science article. Suppose you are planning to learn data science. In that case, I highly recommend first learning the python language deeply before jumping into one of these courses since this will make you understand faster and better than if you only understand the basics of this language.
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