Python is a universally useful programming language the world of information science. And organizations worldwide are using it to collect bits of knowledge from their information and gain an edge over their rivals. In contrast to other Python instructional exercises, this python course centers on explicitly information science.

In our Introduction to Python course, you’ll find out about amazing approaches to store and control information. And supportive information science apparatuses to start directing your own examinations. Start DataCamp’s online Python educational plan now, which focuses on Python basics, NumPy and much more.

Offered by: Datacamp

Instructed by: Hugo Bowne-Anderson (data scientist and educator).

Price: $25 (basic) and $33.25 per month (premium)

Skills and Knowledge Imparted:

Python basics
Modulation
Control flow
Python syntax

Difficulty Level: all levels

Duration and Total Lectures: 4 hours

Average User Rating: 4.6

Review:

Users who have used other sites find DataCamp’s python course to be the one worth sticking to. Thus DataCamp is the top resource users recommend for learning data science. It is fast-paced but comprehensive. And interesting but informational.

Course #2: Google’s Python Course

This is a free class for individuals with a bit of programming background who need to learn Python. The class contains recordings and heaps of code activities to rehearse Python coding. And these materials are used inside Google to acquaint Python with individuals who have only a bit of programming background. The primary activities look at essential Python ideas like strings and records, developing to the later activities which are full projects. And they manage content documents, procedures, and much more.

This online class to learn python is intended for individuals who have a smidgen of programming background in any language. Enough to recognize what a variable or if explanation is. hus it does not have to be Python necessarily. Past that, you don’t need to be a specialist software engineer to use this material.

Offered by: Google

Instructed by: Google

Price: free

Skills and Knowledge Imparted:

Python set up
Strings
Lists
Sorting
Dicts and files

Difficulty Level: all levels

Duration and Total Lectures: self-paced

Average User Rating: 4.4

Review:

The class includes useful written materials and lecture videos. But lots of code exercises to practice Python coding too. These materials are used within Google to introduce Python to people who have just a little programming experience. The courses cover the very basics of Python. But a basic understanding of programming is needed to start learning from Google’s Python class.

Course #3: Interactive Python Learning

learnpython.org is a free intuitive Python instructional exercise – one of the Interactive Tutorials sites. Intuitive Tutorials aims at teaching anyone and everyone how to code. And it does so for free! The vision is to encourage coding inside the program using short and compelling activities. You get to run real code straightforwardly from the internet browser. Thus students can evaluate coding without introducing and executing it locally. And the latter can be hard to figure out how to code. This makes an increasingly proficient learning process. Because students center around learning as opposed to setting up coding conditions.

Offered by: learnPython

Instructed by: learnPython tutorials

Price: free

Skills and Knowledge Imparted:

Variables and their types.
Lists
Basic operators
String formatting
Basic string operations.
Loops
Classes and objects.
Dictionaries

Difficulty Level: all levels

Duration and Total Lectures: self-paced

Average User Rating: 4.4

Review:

No configuring or setup is required to begin this python course. So, work on the exercises to develop an all-rounded understanding of the covered topics. Gain access to the complete content for free. And the best thing about this online python course is that students can reach out to the instructor easily in case of any query.

Course #4: Python Learning Path for Beginners & Experts

Python is one of the most sought-after programming languages today. Thus this online python class is explicitly intended to assist you with this language from scratch. Divided into three phases, the lectures in this class gradually increase from fundamental to advanced level. So, begin with a concise review of what Python brings to the table. And then increase your knowledge with the key learning of factors, information types, conditionals, among others.

Then after this, the instructor takes you past the nuts and bolts. And tells you the best way to work with the engineer’s toolbox. The last area predominantly encourages you to apply your newly discovered abilities and get perplexing strategies that can be implemented on structures. Work with sample problems. Consequently, build a job board with Python and Flask. Finally, the complete study material is available for free for the first 10 days.

Offered by: Pluralsight

Instructed by: Pluralsight online instructors

Price: $29 (monthly), $299 (annual) and $499 (premium).

Skills and Knowledge Imparted:

Syntax
Python objects
Scalar types
Operators
String I/O
Collections

Difficulty Level: all levels

Duration and Total Lectures: 33 hours, 30 minutes

Average User Rating: 4.6

Review:

No prerequisites are required to get started with this course. A major plus is that thorough instructions are provided for installing and setting up the software.

Course #5: Learn Python 3 Course

This course is an extraordinary introduction to both key programming ideas and the Python programming language. Python 3 is the most exceptional form of the language. Because it comes with numerous enhancements. And they all aim at helping you write code smoothly in Python.

This is a great course to begin with Python. And it does not require prior knowledge in Python either! So, get to investigate the linguistic structure, information types, and essential highlights of the language. Additionally, there are a bunch of programming activities to hone programming aptitudes. Also, intelligent code models make the exercises fun and straightforward. Furthermore, you can likewise join up with a free python seminar on Codecademy.

Offered by: Codecademy

Instructed by: Codecademy online instructors

Price: $15.99 (12 month subscription), $17.99 (6 month subscription) and $19.99 (monthly subscription).

Skills and Knowledge Imparted:

Python syntax
Functions
Control flow

Difficulty Level: all levels

Duration and Total Lectures: 25 hours

Average User Rating: 4.5

Review:

Codecademy offers students a range of exclusive courses, quizzes, and extra practice content. There are paths to show you where to start and what to learn next to reach your goal. Furthermore, students are given the chance to build real, portfolio-ready projects from scratch. In fact, you can even connect with other pro members to collaborate, share resources, and more.

Course #6: Introduction to Python Programming

In this course, you’ll become familiar with the essentials of the Python programming language, alongside programming best practices. You’ll figure out how to speak to and store information utilizing Python information types and factors, and use conditionals and circles to control the progression of your projects.

Thus learn to harness the power of complex information structures like records, sets, and word references to store sets of related information. You’ll characterize and report your very own custom capacities, compose contents, and handle mistakes. In conclusion, you’ll figure out how to discover and use modules in Python Standard Library and other outsider libraries. Additionally included to this rich learning content is a vast student support community and interactive quizzes.

Offered by: Udacity.

Instructed by: Juno Lee (instructor)

Price: free

Skills and Knowledge Imparted:

Understanding the need to learn programming with Python.
Representing data using Python’s data types: integers, floats, booleans, strings, lists, tuples, sets, dictionaries, compound data structures.
Performing computations and create logical statements using Python’s operators: Arithmetic, Assignment, Comparison, Logical, Membership, Identity.
Practicing style guidelines.
And writing conditional expressions to add decision making to your Python programs.

Difficulty Level: beginner

Duration and Total Lectures: 5 weeks

Average User Rating: 5

Review:

This course is one of the best and latest courses for novice python students. The final project web crawling is helpful as well. Because it makes students go through most of the subjects they learned. But it also helps them learn a little bit of HTML.

Course #7: Complete Python Bootcamp: Go from zero to hero in Python 3

This is the most extensive but straightforward course for the Python programming language on Udemy. Furthermore, it does not matter if you have never coded before in your life. Or don’t even know proper sentence structure for coding to begin with. This is THE course for you. Because it guides you through all those complexities in an orderly fashion. And you won’t even get tired going through the material. For it is built in an engaging and interesting way. Furthermore, it builds pace nicely so you don’t miss out on details that follow up.

This online course really shows you Python 3. It comes with more than 100 talks and over 20 hours of videos. Thus this complete course investigates every possibility. But it also incorporates tests, and schoolwork assignments just as 3 significant activities to make a Python venture portfolio. This course will show you Python in a viable way, with each talk comes a full coding screen cast. And even a relating code note pad! So, you get to learn in whatever way is best for you! Finally, the class begins by helping you get Python introduced on your PC, paying little heed to your working framework.

Offered by: Udemy

Instructed by: Jose Portilla (head of data science at Pierian Data Inc.).

Price: $14.39

Skills and Knowledge Imparted:

Command line basics
Installing Python.
Running Python code.
Strings
Lists
Dictionaries
Tuples
Sets
Number data types
Print formatting
Functions
Scope
Built-in functions
Debugging and error handling.

Difficulty Level: all levels

Duration and Total Lectures: 186 lectures, 24 hours

Average User Rating: 4.5 (195,689 ratings)

Review:

Although learning python isn’t very exciting but users find this course quite enjoyable. The instructor is really focusing students understand the code better rather than mugging them up. He detects places where a beginner might find some problem understanding the code.

Course #8: Python for Data Science and Machine Learning Bootcamp

This thorough course will be your manual for figuring out how to use Python to dissect information. Make excellent perceptions. And use ground-breaking AI calculations. Information scientist has been claimed the main employment on Glassdoor. And the normal pay of an information researcher is over $120,000 in the United States as per Indeed! Thus information science is a very compensating vocation. Because it enables you to settle a portion of the world’s most intriguing issues.

This certification is intended for the two learner types. One with some programming knowledge. And experienced engineers hoping to make the bounce to Data Science. Ideally, this complete course is practically identical to other Data Science bootcamps that generally cost a huge number of dollars. However, now you can gain proficiency with such data at a small amount. This class shows you how to program with Python. And how to make stunning information representations. But also shows you how to use Machine Learning with Python.

Offered by: Udemy

Instructed by: Jose Portilla (head of data science at Pierian Data Inc.).

Price: $13.79

Skills and Knowledge Imparted:

Learning to use NumPy for numerical data.
Using Plotly for interactive dynamic visualizations and SciKit-learn for machine learning tasks.
Logistic regression
Linear regression
Random forest and decision trees.
Natural language processing and spam filters.
Neural networks
Support vector machines

Difficulty Level: all levels

Duration and Total Lectures: 149 lectures, 22.5 hours

Average User Rating: 4.5 (54,066 ratings)

Review:

This is one of the most complete courses for information science and AI on Udemy. Because it contains over 100 HD video talks and code notepads for each lectures. Furthermore, the lessons are concise. And the exercises are practical. Thus each succeeding lesson builds on and reinforces what you have already learned. However, the sections on Big Data and Deep Learning can be improved.

Course #9: Automate the Boring Stuff with Python Programming

It doesn’t matter if you’re an office worker, student, head, or simply need to turn out to be increasingly beneficial with your PC. Because when it comes to programming, it can enable you to compose code in any sphere of work. This course pursues the prevalent and free book, Automate the Boring Stuff with Python. And this book was composed for individuals who need to quickly compos little projects that do useful errands.

You don’t have to know calculations or programming. So, this course skirts all the software engineering and focuses on composing code that completes stuff. Therefore, this python class is for complete beginners and focuses on the prevalent Python programming language.

Offered by: Udemy

Instructed by: Al Sweigart (software developer)

Price: $11.39

Skills and Knowledge Imparted:

Web scraping
Parsing PDFs and Excel spreadsheets.
Automating the keyboard and mouse.
Sending emails and texts.
Pro-grammatically controlling the mouse and keyboard to click and type for you.
Using Python’s debugging tools to quickly figure out bugs in your code.

Difficulty Level: all levels

Duration and Total Lectures: 51 lectures, 9.5 hours

Average User Rating: 4.6 (30,205 ratings)

Review:

The content is tailored exactly to the needs of beginners. And it is not overwhelming at all either! The mode and content delivery is perfect, according to students. There are a plethora of python tutorials online. But the instructor understands the viewers’ needs. Thus he is able to explain step by step his thought process and reasons for methodology.

Course #10: Machine Learning, Data Science and Deep Learning with Python

This course will show you strategies used by genuine information researchers and AI specialists in tech business. Consequently, it contains far-reaching AI instructional exercises. And over 100 lectures traversing 13 hours of video. Most themes incorporate hands-on Python code models you can use for reference and for training.

Furthermore, the instructor draws on his 9 years of involvement with Amazon and IMDb. And guides you through what makes a difference and what doesn’t. Every idea is presented in plain English, abstaining from confusing language. Although it’s exemplified using Python code you can expand upon. Alongside this, there are notes you can keep for future reference.

Offered by: Udemy

Instructed by: Frank Kane (founder of Sundog Education).

Price: $11.39

Skills and Knowledge Imparted:

Building artificial neural networks with Tensorflow and Keras.
Classifying images, data, and sentiments using deep learning.
Understanding reinforcement learning.
Classifying data.
Using train/test to choose and tune your models.
Building a movie recommendation system using item-based and user-based collaborative filtering.

Difficulty Level: beginner

Duration and Total Lectures: 101 lectures, 13 hours

Average User Rating: 4.5 (16,697 ratings)

Review:

This course clarifies many AI and machine learning misconceptions students might have. The instructor’s knowledge and experience is obvious; he explains complicated concepts in simplified terms using real world examples. The course provides good basics and guidance to take it to the next level. It’s highly recommend to seasoned Developers looking to get a real world understanding of AI/Machine Learning.

Course #11: Machine Learning A-Z™: Hands-On Python & R In Data Science

Intrigued by the field of Machine Learning? Then this course is for you. It has been planned by two expert data scientists. Their goal is to hare their insight and assist you with learning complex hypothesis, calculations and coding libraries. And they do so in a basic way. So, gradually, they will walk you into the world of machine learning. This way, the information won’t seem overwhelming.

Furthermore, with each instructional exercise, you will grow new aptitudes. But also improve your comprehension of this difficult yet rewarding sub-field of data science. Thus this course is filled with useful activities on genuine models. So, not only will you get familiar with the hypothesis. But you will also get hands-on experience on building your own projects.

Offered by: Udemy

Instructed by: Kirill Eremenko (data scientist) and Hadelin de Ponteves (AI entrepreneur).

Price: $13.79

Skills and Knowledge Imparted:

Mastering Machine Learning on Python & R.
Making accurate predictions, powerful analyses and robust Machine Learning models.
Using Machine Learning for personal purpose.
Handling specific topics like reinforcement learning.

Difficulty Level: all levels

Duration and Total Lectures: 294 lectures, 41 hours

Average User Rating: 4.5 (95,468 ratings)

Review:

As a little something extra, this course incorporates both Python and R code formats which you can download and use without anyone else ventures. Overall, the intuition videos provide a good framework to understand the coding tutorials that follow each concept.

Course #12: Complete Python Developer in 2020: Zero to Mastery

Join a live online network of over 120,000+ engineers in a course educated by an industry master that has worked both in Silicon Valley and Toronto. This is a fresh Python course with alumni presently working at Google, Amazon, Apple, IBM, Facebook other top tech organizations.

Thus take in Python without any preparation. Get contracted. And have a fabulous time with the most forward-thinking Python seminar on Udemy. This educational plan begins from the earliest starting point. Because it shows you Python programming basics. And after that, it goes into cutting-edge themes and distinctive vocation fields in Python.

Offered by: Udemy

Instructed by: Andrei Neagoie (senior software developer and instructor)

Price: $11.99

Skills and Knowledge Imparted:

Mastering modern Python 3 fundamentals as well as advanced topics.
Machine learning with Python.
Learning data science.
Using Python to process images and other files.
Learning to test, debug and handle errors in your Python programs.
Setting up a professional work space with Jupyter Notebooks and more.

Difficulty Level: all levels

Duration and Total Lectures: 318 lectures, 30.5 hours

Average User Rating: 4.8 (846 ratings)

Review:

This python training course has detailed explanations and fast progression; and the active community is really supportive. Best part of this course is that it will help you build an actual portfolio website using Python your future employer/customers can contact you at.

Course #13: Python 3: Deep Dive (Part 1 – Functional)

This course gives a more profound comprehension of the Python language and its standard library. Python is known as a “batteries-included” language in light of current circumstances. Because there is a huge amount of usefulness in base Python that remains to be investigated. So, this course mainly focuses on Python, as a language, and the standard library.

But more specifically, this course depends on the standard CPython. You will likewise require Jupyter Notebooks to see the downloadable, completely commented-on Python scratch pad. It aims to help you investigate Python. And answer addresses you are asking yourself as you grow more familiar with the language.

Offered by: Udemy

Instructed by: Fred Baptiste (professional developer and mathematician).

Price : $11.39

Skills and Knowledge Imparted:

Variables, memory, namespaces and scopes.
Understanding how Python works.
Advanced Boolean expressions and operators.
Using functions.
Functional programming techniques. Such as reduction and filtering.
Creating advanced decorators.
Understanding Python’s compile-time and run-time. And how this affects your code.

Difficulty Level: intermediate

Duration and Total Lectures: 158 lectures, 44.5 hours

Average User Rating: 4.8 (1,993 ratings)

Review:

This course has a ‘wonderful’ way of presenting the information, as students put it. Each topic is explained in detail with corresponding examples, easy to follow.

Course #14: The Python Bible™ | Everything You Need to Program in Python

Project-based learning is demonstrated to be the absolute best approach to become familiar with any ability, particularly for Programming. On the off chance that you are hoping to learn the Python programming language with hands on approach, go from a total learner to building 11 projects with the Python Bible, Udemy’s chief project-based Python programming course!

This thorough, top to bottom and carefully arranged course is going to show you all that you have to learn to program in Python. Whether you need to get into Data Science, Web Development or make cool robots with the Raspberry Pi, The Python Bible gives you all that you have to begin on your python way! The Course additionally accompanies a zero risk, 30 day 100% money back guarantee.

Offered by: Udemy

Instructed by: Ziyad Yehia (Udemy instructor)

Price: $11.39

Skills and Knowledge Imparted:

Building 11 easy-to-follow python 3 projects.
Automating coding tasks.
Using variables to track data in python programs.
Creating programs that can think using logic and data structures.
And creating customized user experiences.
Using loops to improve efficiency, save time and maximize productivity.

Difficulty Level: beginner

Duration and Total Lectures: 74 lectures, 9 hours

Average User Rating: 4.6 (20,238 ratings)

Review:

This is considered ‘by far the best Python course on Udemy’ by students. Hence, it explains things in a very hands-on and easy to follow method that will have you understanding what you are doing in no time. Furthermore, the instructor has a high energy and a sense of humor making the material more comprehensible and clear.

Course #15: Python for Everybody

This specialization expands on the successful accomplishment of the Python for Everybody course and presents principal programming ideas including information structures, arranged application program interfaces, and databases utilizing the Python programming language. Learn to program and analyze data with Python. Develop programs to gather, clean, analyze, and visualize data.

In the Capstone Project, students get to utilize the advances learned all through the Specialization to structure and make their own applications for information recovery, handling, and representation. There are 5 Courses in this specialization.

Offered by: University of Michigan via Coursera

Instructed by: Charles Russell Severance (professor, School of Information).

Price: free

Skills and Knowledge Imparted:

Creating your own applications for data retrieval and processing.
Describing the basics of database design.
Explaining the basics of programming computers using Python.
Understanding fundamental programming concepts such as data structures.
Python Programming

Difficulty Level: beginner

Duration and Total Lectures: 4 months

Average User Rating: 4.8 (80,897 ratings)

Review:

You can pass the course in a few days with minimum or even no programming knowledge. It’s a good python course for beginners.

Course #16: Machine Learning with Python

This course plunges into the fundamentals of AI utilizing Python. You will find out about the reason for Machine Learning and where it applies to this present reality; and get a general review of Machine Learning themes, for example, managed versus unaided learning, model assessment, and Machine Learning calculations.

In this free python certification, you practice with genuine instances of Machine learning and perceive how it influences society in manners you might not have speculated. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge upon successful completion of the course.

Offered by: IBM via Coursera

Instructed by: Saeed Aghabozorgi (senior data scientist)

Price: free

Skills and Knowledge Imparted:

Theoretical concepts about machine learning.
And applications of machine learning.

Difficulty Level: intermediate

Duration and Total Lectures: 16 hours

Average User Rating: 4.7 (3,943 ratings)

Review:

The course is highly informative and very well presented. It’s very easy to follow. Many complicated concepts are clearly explained. It improves students’ confidence with respect to programming skills.

Course #17: Applied Data Science with Python

The 5 courses in this University of Michigan specialization acquaint students with information science through Python. This aptitudes-based specialization is expected for students who have an essential Python or programming foundation, and need to apply measurable, AI, data representation, content investigation, and informal organization examination procedures through well-known Python toolboxs, for example Pandas, to understand their information.

Offered by: University of Michigan via Coursera

Instructed by: Christopher Brooks, Kevyn Collins-Thompson and others (University of Michigan faculty).

Price: free

Skills and Knowledge Imparted:

Text Mining
Python Programming
Pandas
Matplotlib

Difficulty Level: intermediate

Duration and Total Lectures: 5 months

Average User Rating: 4.5 (14,833 ratings)

Review:

Courses in this specialization are very practical; the assignments encourage students to learn more as they contain technical details one has to research further on one’s own.

Course #18: Python Functions, Files, and Dictionaries

This course is part of the Python 3 Programming Specialization. It presents the linguistic side of Python programming language. For instance, you will discover what the grammar and morphology of this programming language is based on. But you’ll also find out about Python’s arranged capacity and how to control the request wherein it sorts by going in another capacity as an information. For your final project, you’ll read in simulated social media data from a file, compute sentiment scores, and write out .csv files. The course is appropriate for you if you’ve taken the “Python Basics” course and need to increase further crucial learning of Python.

Offered by: University of Michigan via Coursera

Instructed by: Paul Resnick, Steve Oney and Jaclyn Cohen (University of Michigan faculty).

Price: free

Skills and Knowledge Imparted:

Python Functions
Files
Dictionaries

Difficulty Level: beginner/intermediate

Duration and Total Lectures: 23 hours

Average User Rating: 4.8 (913 ratings)

Review:

It’s a well-made Python course for beginners. Because it is a wonderful learning resource and explains everything simply. The instructors’ presentation are clear and concise. The pace is perfect for beginners in Python and the exercises and practice questions help reinforce the content.

Course #19: Introduction to Scripting in Python

The core concepts in Python can be used effectively. For instance, concepts related to scripting in Python can be used to solve real-world, practical problems. So, launch your career in Python programming by mastering those concepts. And helping build a better world. This specialization is largely built for beginners who might want to ace basic programming skills. Through four courses, you will cover key programming ideas in Python 3. And they will prepare you to use Python to perform basic scripting tasks.

Furthermore, this learning will give a strong establishment towards a vocation in information science. But also in program building. Topics covered include expressions, variables, functions, logic, and conditionals. The latter are foundational concepts in computer programming.

Offered by: Rice University via Coursera

Instructed by: Scott Rixner and Joe Warren (computer science professors).

Price: free

Skills and Knowledge Imparted:

Data analysis
Python programming
Data visualization

Difficulty Level: beginner

Duration and Total Lectures: 2 months

Average User Rating: 4.7 (1,329 ratings)

Review:

Basic fundamental concepts are covered in depth. The lessons are easy to follow. And the teachers are engaging. Each programming tip given by instructors is short and convenient to follow through. To conclude, this course makes the complex world of Python and AI simpler.

Course #20: Data Analysis with Python

This course will take you from basics of Python to investigating a wide range of information. For instance, you will figure out how to plan information for investigation. And perform straightforward factual examination. Make significant information perceptions. But also foresee future patterns from information. And all this is just the beginning. Many diverse themes are covered in this course. Such as importing data sets, cleaning data, building AI models, etc. Furthermore, information analysis with Python is conveyed through lectures, lab, and assignments.

Finally, the course will acquaint you with pandas, an open-source library. And it will be used to stack, control, break down, and imagine data sets. Thus if you take this course and acquire Coursera course certificate, you will procure an IBM digital badge.

Offered by: IBM via Coursera

Instructed by: Joseph Santarcangelo (data scientist at IBM).

Price: free

Skills and Knowledge Imparted:

Python programming
Data analysis
Data Visualization
Model selection

Difficulty Level: beginner

Duration and Total Lectures: 10 hours

Average User Rating: 4.6 (5,715 ratings)

Review:

42% students began a new career after taking this course. Thus it’s perfect for beginners. All the concepts with code have been explained excellently. Even though the course itself is pretty simplified and self-explanatory.

Course #21: An Introduction to Interactive Programming in Python (Part 1)

This is a two-section course. And it is a part of the Fundamentals of Computing Specialization. As such, it is intended to assist students to get familiar with essentials of building straightforward intelligent applications. And it does not matter if they have no programming experience. Thus these applications will include windows whose substance are graphical and react to catches, the console and the mouse.

Part 1 of this course presents fundamental components of programming, (articulations, conditionals, and capacities). And after that, use of these components to make basic intuitive applications. For example, a computerized stopwatch. Furthermore, section 1 of this class will come close to building a form of the exemplary arcade game Pong.

Offered by: Rice University via Coursera

Instructed by: John Greiner and Scott Rixner (Rice University’s computer science faculty).

Price: free

Skills and Knowledge Imparted:

Programming principles
Python syntax and semantics
Computer programming
Python programming

Difficulty Level: beginner

Duration and Total Lectures: 30 hours

Average User Rating: 4.8 (2,335 ratings)

Review:

It’s a nice beginner course for new programmers to learn programming. But also to practice concepts most intuitively. This can be accomplished via building a game that interests participants of this class. The intro puts the topic into achievable steps. Plus, the professors do a good job of making it fun and enjoyable.

Course #22: Python for Data Science and AI

Want to use Python for data science AND programming in general? Then this introduction to Python is the perfect course for you. And it will kick start your learning of Python super fast than other courses of same type. Thus this beginner Python course will take you a beginner to an expert programmer in Python. And it accomplishes that in just a matter of hours. It’s divided into 4 modules. Python basics, data structures, programming fundamentals. And working with data in Python. Finally, students are required to create a project to test their skills.

Furthermore, this course can be applied to multiple specializations or professional certificates programs. Thus completing this course will surmount towards your learning in any of the following programs. Applied Data Science Specialization, IBM Applied AI Professional Certificate and IBM Data Science Professional Certificate.

Offered by: IBM via Coursera

Instructed by: Joseph Santarcangelo (data scientist at IBM).

Price: free

Skills and Knowledge Imparted:

Data science
Python programming

Difficulty Level: beginner

Duration and Total Lectures: 11 hours

Average User Rating: 4.6 (8,496 ratings)

Review:

Even if you’re fluent in MATLAB programming, Python can still be very confusing at times. Thus this is the course you need to explain the most common data types in python in a clear and very concise manner.