Data Science | Course Recommendation

After analyzing them, I created this list of The Best 16 Data Analysis Courses and Tutorials of 2021 that you should know about. I took the courses that I didn’t take earlier and ranked them according to their quality and completeness. 

Course Provider: Organization

Course Provider Name: DataCamp

Course Provider URL: https://www.datacamp.com/tracks/data-manipulation-with-python?tap_a=5644-dce66f&tap_s=1352853-117e8d&utm_medium=affiliate&utm_source=smfahim

Editor's Rating:
4.8

Tons of courses on Data Analysis out there, but unsure about where to spend your time to make the best use of your time and money? Or maybe looking for the best FREE courses on Data Analysis topics? 

I’ve analyzed around 50 courses and tutorials on Data Analysis with Python that people are talking about on Reddit, Quora, and Facebook groups; most enrolled courses on top platforms like Coursera, EdX, Udemy, DataCamp, LinkedIn Learning; and most viewed tutorials on YouTube. 

After analyzing them, I created this list of The Best 16 Data Analysis Courses and Tutorials of 2021 that you should know about. I took the courses that I didn’t take earlier and ranked them according to their quality and completeness. 

The main topics covered in these Data Analysis courses are Numpy, Pandas, and SciPy. As you must need Data Visualization skills to get the best out of Data Analysis, the Matplotlib and Seaborn topics were also considered, mostly Matplotlib. 

You’ll find some complete courses on Data Science, as I’ve discussed in Top Data Science Courses On The Internet in Python and R 2021. But I love to take courses that are dedicated to smaller topics, because they dive very deep into each topic, and contain lots of practice problems and projects. 

I couldn’t make this list of the Best Resources for Data Analysis any shorter because of the quality and uniqueness each serves. This is my ultimate list. Just take the ones you find best suits you. If you still can’t decide, take a look at the special recommendation section at the end of the article.

3 Best Numpy and Scipy Courses for Data Analysis

  1. Numpy Data Science Essential Training by LinkedIn Learning
  2. Using Python for Research by Harvard University on Edx
  3. Working with Multidimensional Data Using NumPy by PluralSight

9 Best Resources to Learn Pandas for Data Analysis

  1. The Complete Pandas Bootcamp 2021: Data Science with Python by Udemy
  2. Data Analysis with Pandas and Python by Udemy
  3. pandas Foundations by DataCamp
  4. Data Manipulation with Python [Skill Track] by DataCamp
  5. Doing Data Science with Python by PluralSight
  6. Data Analysis with Python by IBM on Coursera
  7. The Ultimate Pandas Bootcamp: Advanced Python Data Analysis by Udemy
  8. Pandas Essential Training by LinkedIn Learning
  9. Exploratory Data Analysis With Python and Pandas - Guided Project on Coursera

4 Best YouTube Tutorials to Learn Data Analysis

  1. Complete Python NumPy Tutorial by Keith Galli
  2. Pandas Tutorials by Corey Schafer
  3. Python SciPy Tutorial For Beginners by Edureka
  4. Data Analysis with Python by FreeCodeCamp

One thing you should know is that the official documentation is your best buddies after you’ve taken these courses and want to dive even deeper. Here are the documentations:

16 Best Resources to Learn Data Analysis 2021 - Free and Paid

1. Numpy Data Science Essential Training by LinkedIn Learning

The most detailed numpy course for Data Analysis
The most detailed numpy course for Data Analysis

What You Will Learn

Key Pros/ Why You Should Enroll

At first, this course seemed very plain to me. But then it started throwing lots of methods and examples that will help to build you a strong base on numpy. The best thing about this course is that the instructor explains the numpy methods by showing you the official documentation.

This way, you better understand why something works while others don’t. On the other hand, this is helpful for absolute beginners who don’t have experience in learning from the documentation.

2. Using Python for Research by Harvard University on Edx

Using Python for Research by Edx
The most practical way of learning Numpy

What You Will Learn

Key Pros/ Why You Should Enroll

This is an amazing course to learn numpy for Data Analysis because of the bunch of real-world case studies it offers and the huge number of practice problems after each video tutorial.

I recently solved a project problem for a client where the project was very similar to one of the case studies discussed here. So this course surely contains some real-world values! Note that to participate in the case studies, you must purchase the course.

3. Working with Multidimensional Data Using NumPy by PluralSight

numpy course by a google engineer on pluralsight
Numpy course by a Google engineer

What You Will Learn

Key Pros/ Why You Should Enroll

The course instructor is a Google engineer and the course content is really satisfactory. It felt like a premium YouTube tutorial, to be honest. Because there’s no quiz or project that you can attend to sharpen your understanding. You surely will get some new aspects of data analysis, so it won’t be a waste of money.

4. The Complete Pandas Bootcamp 2021: Data Science with Python by Udemy

one of the best data analysis courses on udemy
detailed instructions on vast topics

What You Will Learn

Key Pros/ Why You Should Enroll

Top Review

extremely thorough & comprehensive. it is obvious that a lot of care and attention has gone into the preparation of the course and material. good, prompt, support to any questions raised as well.

- Douglas Smith

This course is a gem for Data Analysis with Pandas. The only thing you may dislike is the accent of the instructor. Other than that, contains a huge amount of information. Although the main focus is Pandas library, the instructor spent a lot of time making it the perfect course. Covers all the prerequisites and also follows some Machine Learning topics to add some extra spice.

Although this course seems a complete course to Data Analytics, still, you’ve to take different courses on other topics. Because, the course surely dives deep into Pandas and serves necessary knowledge to cope up with the flow, but it’s not possible to cover those extra topics within a few hours of lectures.

5. Data Analysis with Pandas and Python by Udemy

The most famous Data Analysis course on Udemy till now
The most famous Data Analysis course on Udemy

What You Will Learn

Key Pros/ Why You Should Enroll

Top Review

Fantastic class for someone coming in with no experience in pandas. I was able to utilize what I was learning as I went (along with my best friend google) to solve a business problem at work.

- Philip Higgins

This is the most enrolled and a bestseller course for Data Analysis with Pandas on Udemy. It ties with the previous course in my view except that it is a bit older. The course quality is amazing, so is the instructor. This course is more engaging than the previous one. Instead of adding a bunch of topics to make the course more appealing, the instructor focused more on the best practices of using pandas.

6. pandas Foundations by DataCamp

pandas foundational course by datacamp
A decent introduction to Pandas

What You Will Learn

Key Pros/ Why You Should Enroll

DataCamp has a different approach to Data Analysis. This course builds the foundation and then proceeds to the main skill track listed below. A huge number of practice problems build a strong foundation in the Pandas library. The content quality is the best till now. Best pandas tutorial for beginners who like learning by doing.

7. Data Manipulation with Python [Skill Track] by DataCamp

The best data analysis courses for learning by doing
Best data analysis courses for learning by doing

What You Will Learn

Key Pros/ Why You Should Enroll

This skill track is one of my favorites from DataCamp. Anyone who loves learning by doing, this is the best choice for you. They provide some cheat sheets that consist of all the methods you may need in different types of problems. In fact, these cheat sheets are very popular. Also, you’ll have lecture slides as PDFs which will be very helpful when you complete the skill track but can’t remember anything. 


You must take this skill track after the previous course. I think this is the best value for money. One thing to keep in mind, don’t rush! The practice problems are mostly self-explanatory, so you may complete them quickly to earn a certificate. Don’t do that! In fact, try to start over all the practice problems once you finish the skill track, without watching the videos again.

8.  Doing Data Science with Python by PluralSight

doing data  science with python
Contains unique topics like Git and Kaggle

What You Will Learn

Key Pros/ Why You Should Enroll

I liked the data extraction part the most. These are the most common ways you’ll be collecting data. You’ll also be using Git for updating your projects. Similarly, the Machine Learning models for the data analysis part was very detailed. A couple of uniqueness of this course is using Git and Kaggle. So this course should be a good choice for you.

9. Data Analysis with Python by IBM on Coursera

The best data analysis course on Coursera
The best data analysis course on Coursera

What You Will Learn

Key Pros/ Why You Should Enroll

To get the best out of this course, make sure to practice them by yourself as most of the lab problems are self-explanatory. And there are some typos, ignore them. Otherwise, this course offers a lot of practical approaches. Especially, the Model Development week and the Model Evaluation week will be very helpful for you. A little bit of statistics knowledge is recommended.

10. The Ultimate Pandas Bootcamp: Advanced Python Data Analysis by Udemy

A very promising data analysis course by Udemy
A very promising data analysis course by Udemy

What You Will Learn

Key Pros/ Why You Should Enroll

Top Review

excellent course, very good explanation and walk through the courses and mini-projects.

- Bouredja Amine

This is another very promising course on Data Analysis. The instructions are very detailed and in-depth! Though you might want to watch it at 1.5X speed. The course contains some prerequisites sections on Python programming, numpy library, data visualization with Matplotlib, though very basic, but helpful to continue the course. Worth trying it out.

11. Pandas Essential Training by LinkedIn Learning

A detailed course focused on pandas library
A detailed course focused on pandas library

What You Will Learn

Key Pros/ Why You Should Enroll

This course is kind of the same quality as the numpy course discussed at the top. But with lots of quality and detailed courses on Pandas data analysis, this course couldn’t outperform others like the numpy course. Still, I’m listing it here because it contains enough knowledge to start working with data analysis. If you enroll in both the numpy course and this one, then it will be value for money.

12. Exploratory Data Analysis With Python and Pandas - Guided Project on Coursera

A guided project focused on Exploratory Data analysis (EDA)
A guided project focused on Exploratory Data analysis (EDA)

What You Will Learn

Key Pros/ Why You Should Enroll

Top Review

Simple yet very organized, and elegant Data Analysis project. I really liked it!

- Salih K

Guided project is a relatively new topic on Coursera. It’s a project focusing on only one major topic, and shows how exactly you need to solve that problem. On your browser, there will be a split-screen. In one section, you will write and run your code, on the other section, the instructor will show you the steps. Note that the instructions are pre-recorded video, not live.

The best thing about guided projects is that you work in exactly the same environment as the instructor. And the project is focused on one topic. This one is a good practice project once you’ve taken any of the detailed courses listed above.

13.  Complete Python NumPy Tutorial by Keith Galli

The best numpy tutorial on YouTube is by Keith Galli
The best numpy tutorial on YouTube

Keith Galli is relatively a new YouTuber and I have been following him since his <10k subs. He created some valuable tutorials. I have some pretty good feelings about this channel!

This 1-hour tutorial contains the numpy basics with some engaging examples. In fact, it has been uploaded to FreeCodeCamp for the quality he created! The best YouTube tutorial for those who want to explore the numpy library.

14.  Pandas Tutorials by Corey Schafer

The most detailed free pandas tutorial
The most detailed free pandas tutorial

Corey Schafer, a very famous Python Instructor on YouTube, created this amazing detailed tutorial on Data Analysis with Pandas tutorial series. If only the Pandas section is taken under consideration, this tutorial playlist might be one of the best 5 courses of this article. The only downside is the lack of practice problems or projects, which is common for all YouTube tutorials.

15. Python SciPy Tutorial For Beginners by Edureka

the only SciPy tutorial worth listing here
Python SciPy tutorial

This is the only course or tutorial I could find that focuses only on the SciPy library and worth listing here. It’s just the basics of the SciPy library. So after completing this tutorial, you should start reading the official documentation of the SciPy library.

There are very few tutorials on SciPy, and none of them is as detailed as I want. You may keep an eye on my programming website Machine Learning Wiki, where I will be writing about SciPy soon.

16.  Data Analysis with Python by FreeCodeCamp

The best free data analysis course online for beginners
The best free data analysis course

FreeCodeCamp brings premium courses for free for everyone to use. This course briefly contains almost all the topics of Data Analysis. So this is the best tutorial for exploring the field! Make sure to use the jupyter notebooks to get the best out of this tutorial.

Conclusion and Special Recommendation

As I’ve listed the best 16 online courses for Data Analysis, and each of them is better than the others, it might be confusing for you to choose where to spend your valuable time. Here are some suggestions from my experience assuming you’re a complete beginner in Data Analysis:

If you’ve any better suggestions for Data Analysis courses than mine, feel free to contact me and I’ll update the list after reviewing.


Related Course Reviews

FAQ

Which is the best data analysis course on Coursera?

By far, the best data analysis course on Coursera is Data Analysis with Python by IBM. It does not only teach data analysis models but also how to evaluate and refine the models

Which is the best free data analysis course for beginners online?

Data Analysis with Python by FreeCodeCamp on YouTube is the best free Data Analysis course. It briefly contains almost all the topics you need to learn. Best for those who want to explore the field.

What are the best data analysis certification courses?

Data Manipulation with Python Skill Track by DataCamp contains the most completed and quality courses for Data Analysis. Make sure to start with the pandas Foundations course. Although I prefer taking separate course on each major topic.


When I planned to learn Data Science, I was so confused about which are the best Data Science courses and in what order I should take them. So I started enrolling in courses and also leaving them in the middle when I found I’m not ready for that course yet. It took a while to cope up with the topics and to find the best courses. 

In this article, I’ll be sharing with you the best Data Science courses on the internet right now and in both tracks, Python and R language. To make this list, I spent a week reading articles like “my journey to data science”, joining discussions on Reddit, exploring the top course platforms, and analyzing them with my own experience. 

After analyzing around 35 famous Data Science courses, I made this shortlist for my well-wishers. The ranking has been done based on completeness and quality. You don’t have to take all of the courses listed below. Find the best one/s for you, or read my special recommendation section to help you decide.

Let’s dive into each of them and analyze their quality and completeness. 

9 Best Data Science Courses Right Now: Python Track

1. MicroMasters® Program in Statistics and Data Science by MIT on EdX

mitx micromasters program in statistics and data science review
MITx Micromasters Program in Statistics and Data Science Review

What You’ll Learn

Why You Should Enroll

Top Review

Our business has data at its core. In a competitive marketplace, we have a growing need for employees trained in the critical field of data science with strong analytical skills. The MITx MicroMasters in Statistics and Data Science provides an excellent opportunity for learners to have rigorous training in statistics, data analysis, and machine learning and to develop the skills necessary to be competitive in a world increasingly shaped by data.

Joseph Logue, Executive Vice President, Booz Allen Hamilton

MITx Micromasters Program in Statistics and Data Science is my best choice in this review list. A bit of previous knowledge in every major topic will be very helpful for you. And if you keep digging into each topic after you've taken a class, this program will be the only one you should take before diving into your projects.

Just one thing to keep in mind when you’re taking this MicroMaster's program, don’t rush and spend as much time as you can! The course might get a bit difficult for you sometimes. But be active in the community, use Google if something is not clear to you, and solve the problems on your own. At least this is how I proceed. It will take time, but you can finish it properly within 6 months. 

Why do I consider it to be the top one? If you’ve already taken some Data Science courses, just look at their syllabus. How complete it is! It has got everything from start to finish. Although you won’t find any end while learning, this program gives you everything you need to proceed. This is worth it!

2. Machine Learning by Andrew Ng  on Coursera

What You’ll Learn

Why You Should Enroll

Top Review

Excellent starting course on machine learning. Beats any of the so-called programming books on ML. Highly recommend this as a starting point for anyone wishing to be an ML programmer or data scientist.

Murali N

This is the best course to learn the theory and mathematics behind Machine Learning and Data Science. Although it’s a bit old course, there’s still no course made as simple and complete on theories as it is. Almost anyone you find learning Data Science or Machine Learning for a while has already taken this course. 

The only drawback of this course is that it’s taught in MatLab, instead of Python or R. That’s why I keep saying it’s the best for theories. Instead of updating this course in Python, Andrew Ng and his team are focusing on launching new and updated courses on various topics of Deep Learning. If you’re interested, take the Deep Learning AI Specialization after this course.

3. Data Scientist With Python by DataCamp

Data Science course with python on DataCamp
An easy and engaging way of learning Data Science

What You’ll Learn

Why You Should Enroll

This skill track by DataCamp is best suited for beginners. It’s so engaging and easy that you’ll start loving the platform. Although I missed 2 things on DataCamp. They don’t go that much deep into Data Science, and they don’t have a community. So you might need to take more than 1 skill track to master the topic. Still, I love the platform and would highly recommend you if you’re just starting out.

4. MicroMasters® Program in Data Science by UCSanDiego on EdX

UCSanDiego offers some of the best Data Science courses on EdX
An alternative to the MicroMasters program by MITx

What You’ll Learn

Why You Should Enroll

Top Review

Mitchell International highly values professionals with proficiency in Data Science and recognizes the need for more individuals to obtain this knowledge and skill set. It is my belief that a candidate credentialed through the edX MicroMasters program in Data Science would have a marked advantage for the following positions in Mitchell International: Business Systems Analyst, Data Analyst, Data Scientist, Data Informatics Analyst, Machine Learning Engineer.

Erez Nir , SVP and CTO, Mitchell International

I consider this MicroMasters program as an alternative to the first one in the list, the MicroMasters® Program in Statistics and Data Science by MITx. The main focus of this program is the course Big Data Analytics Using Spark. The program starts with Python programming, then proceeds to Statistics and Probability with Python. Next talks about the models in Machine Learning. Finally jumps into working with Big Data.


The program details might look minimal to you, but once you start it, you’ll see how broad it is. I recommend this to those who are mostly interested in working with Big Data. But I personally like taking the MicroMasters® Program in Statistics and Data Science by MITx, and then taking only the last course of this program which is Big Data Analytics Using Spark.

5. Data Scientist NanoDegree by Udacity

Data Scientist NanoDegree by Udacity
The most professional program

What You’ll Learn

Why You Should Enroll

Top Review

I enjoyed the Data Scientist Nanodegree. I especially like the portfolio projects. They are sufficiently challenging, but they come with helpful instructions so that I can actually finish them and put them on my resume. The GitHub and LinkedIn review requirements also pushed me to polish my online presence. I am a lot more confident to look for a data scientist position than I was four months ago.

Ying G.

There’s one thing I highly like and one thing I highly dislike about the NanoDegree. The program costs a lot, but still, it has a big list of prerequisites. If I’m spending more than $500, I’d expect it to be a complete program. I’m okay if it takes more than a year to complete, but when the program is a complete bundle, it contains a reliable flow.

On the other hand, I like how it truly prepares for the industry. To become a Data Scientist takes a lot of effort. So instead of stacking lots of courses at once, they focused only on preparing you for a job with some challenging projects. Still, if it was a zero to hero program, I’d rank it as number 1 or 2 on the list. 

6. IBM Data Science Professional Certificate by Coursera

What You’ll Learn

Why You Should Enroll

This professional certificate program serves a wide range of knowledge. The projects give a real-life problem-solving feel. I just missed one thing in this certification, there’s no course on the mathematics required for Data Science. Maybe that’s because Coursera has an outstanding specialization, Mathematics for Machine Learning by Imperial College London. 

You might find the first part of the course not that engaging. But if you stick to it, you definitely will get some unique knowledge and experience. The same program is on EdX, Professional Certificate in IBM Data Science. But the one on Coursera is relatively cheaper. 

7. The Data Science Course 2020: Complete Data Science Bootcamp by Udemy

Best Data Science course on Udemy
Best Data Science course on Udemy

What You’ll Learn

Why You Should Enroll

Top Review

Very informative, fun to get through, learned a lot about the basics of what I'll be diving into more. There's a lot more to learn but this was a good foundation.

Kyler Gould

I recommend this course to those who are just starting with Data Science or Machine Learning, and not sure about whether it is really a good field for them. You’ll only have the foundational knowledge of most sectors you need to master to truly become a Data Scientist. I really missed the data visualization part.

Unfortunately, this is the best Data Science course on Udemy, and lots of reviewers say it will make you a Data Scientist, which is a lie. Just build your foundation with it, and then grab one of the top programs stated above. This will help you understand those courses very easily. So it’s worth trying for absolute beginners.

8. Python for Data Science and Machine Learning Bootcamp by Udemy

Best DS course on Udemy that focuses on Data Visualization
Best DS course on Udemy that focuses on Data Visualization

What You’ll Learn

Why You Should Enroll

Top Review

The amount of topics covered in this course is very good. This course is very good for someone to get knowledge of data science. The only thing this course is missing is the theoretical explanation of various concepts.

Jashan Uppal

This course is an alternative to the previous one. It fills the gap of the previous course. It focuses a lot on Data Manipulation and Visualization. And also includes topics like NLP and Big Data, which are very popular in the industry. 

However, the course does not have any section for the mathematics behind Data Science. So you’ll miss a major section of Data Science. This is the top-rated course on Udemy, still, it will only serve you the basic idea of the DS field. But if you’re familiar with Probability, Statistics, and Linear Algebra, and you want to explore the Data Science field, the course is worth the price.

9. Applied Data Science with Python Specialization by UMich on Coursera

What You’ll Learn

Why You Should Enroll

I like this specialization because it focuses on text manipulation a lot. And the Social Network Analysis course is a unique one and you’ll like it. I recommend this course if you have some previous Python and Statistics knowledge, and the Social Network Analysis course attracts you.


4 Best Data Science Courses Right Now: R Track

1. Professional Certificate in Data Science by Harvard on Edx

Best Data Science program in R track
Best Data Science program in R track

What You’ll Learn

Why You Should Enroll

This is my top pick for Data Science courses in the R programming track. It has everything starting from programming, data manipulation, visualization, mathematics, machine learning models, and ending with a capstone project. This is the most popular program among Data Science enthusiasts with an R track.

2. Data Science Specialization by John Hopkins on Coursera

What You’ll Learn

Why You Should Enroll

You might have already noticed that I like the programs that are complete with resources and well structured. The Data Science Specialization by John Hopkins on Coursera is one of them. It’s huge, well structured, full of knowledge, quizzes, and projects. On top of that, it offers some unique practical knowledge as stated above. This specialization will definitely help you in your professional life. However, I wanted more topics in Machine Learning. 

3. Data Scientist with R by DataCamp

An easy and engaging way to learn Data Science with R
An easy and engaging way to learn Data Science with R

What You’ll Learn

Why You Should Enroll

This skill track is best suited for absolute beginners. It’s so engaging and has a huge amount of practice problems. I like everything it offers. But unfortunately, it does not offer everything you need. For example, it does not cover the mathematics behind Data Science. And it covers only the most important topics of Machine Learning. The track will take you from absolute beginner to intermediate learner, and you’ll have enough knowledge to start working on your own projects.

4. Data Science and Machine Learning Bootcamp with R by Udemy

DS Bootcamp with R
DS Bootcamp with R

What You’ll Learn

Why You Should Enroll

The best thing about this course is that it includes NLP and Neural Nets. You’ll easily grasp the R programming part of the course, but it will become a bit tough for the Machine Learning section if you’re not already familiar with Probability and Statistics. Well, you can learn them from other places, but I would rank this course 1 or 2 only if there was enough explanation of the NLP and Neural Nets topics. 


Conclusion and Special Recommendation

I tried my best to present to you the top data science courses that you should care about. You don’t have to take all of them. I suggest taking 2 to 3 courses from the list for the best outcome. Here’s a more specific suggestion for you. 

Python Track

R Track

If you have any suggestions, let me know. I’ll try to update this list for The Best Data Science Courses On The Internet In Python And R!


Customized Suggestions For You

  1. Choosing from the Top 10 C++ Courses: The Ultimate Guide 2021
  2. 16 Best Data Analysis Courses For Beginners 2021 [Reviewed]

FAQ

Which one is the most completed Data Science course on the internet?

It's tough to declare a course or a program to be the best on the internet. After analyzing around 35 online courses, I believe MicroMasters® Program in Statistics and Data Science by MIT on EdX is the most complete course set.

What is the best course to learn Machine Learning theories for free?

It's undoubtedly the Machine Learning course by Andrew Ng on Coursera. Although the course is on MatLab, Andrew Ng still teaches the Machine Learning theories better than anyone.

Which Data Science certification is the best?

If you want to get some value from any online Data Science course certificate, then MicroMasters® Program in Statistics and Data Science by MIT on EdX is your best choice to go for. This is considered to be around 20% to 30% of total credits in Master’s programs at many well-known universities.

Is Data Science still in demand 2021?

After the Corona Pandemic, you might have experienced the importance of Data Science and Machine Learning the most! Its demand is increasing day by day. Data is money in 2021!

Can I get a job with a certificate in Data Science online?

2 things you must know. One, if you're a boss of a company, will you hire someone based on how many certificate they have? I'm sure you'll look for the skill. Secondly, it's easy to skip the course materials and submit others course work to get a certificate. So ignore the certificate thing, don't deceive yourself, and get the knowledge from the courses and build your skill.

Can I become a Data Scientist without maths?

It's like cooking foods without fire! You will get done a lot of your works, but not enough to actually play with the data and get the best use of it. Just learn the basics of Probability and Statistics, and you'll be very comfortable with Data Science.

Data Science | Course Recommendation

When I planned to learn Data Science, I was so confused about which are the best Data Science courses and in what order I should take them. So I started enrolling in courses and also leaving them in the middle when I found I’m not ready for that course yet. It took a while to cope up with the topics and to find the best courses. 

Course Provider: Organization

Course Provider Name: MicroMasters® Program in Statistics and Data Science by MIT on EdX

Course Provider URL: https://www.edx.org/micromasters/mitx-statistics-and-data-science

Editor's Rating:
4.9
Copyright © 2021| All Rights Reserved