# Top Data Science Courses On The Internet in Python and R 2021

*Last Updated On*: July 4, 2021

*Posted In*: Development & Data Science

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.

## Best Data Science courses on Python track

- MicroMasters® Program in Statistics and Data Science by MIT on EdX
- Machine Learning by Andrew Ng on Coursera
- Data Scientist With Python by DataCamp
- MicroMasters® Program in Data Science by UCSanDiego on EdX
- Data Scientist NanoDegree by Udacity
- IBM Data Science Professional Certificate by Coursera
- The Data Science Course 2020: Complete Data Science Bootcamp by Udemy
- Python for Data Science and Machine Learning Bootcamp by Udemy
- Applied Data Science with Python Specialization by UMich on Coursera

## Best Data Science courses on R track

- Professional Certificate in Data Science by Harvard on Edx
- Data Science Specialization by John Hopkins on Coursera
- Data Scientist with R by DataCamp
- Data Science and Machine Learning Bootcamp with R by Udemy

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

**Rating**: 5/5**Number of Courses**: 5**Certificate**: Yes. Considered to be 20% to 30% of total credit in Master’s programs at many well-known universities. The most valuable certificate on the list**Level**: Beginner to Advanced. Most suited for intermediate level**Time to Complete**: 1 year 2 months at 10-14 hours per week**Projects**: Full of Projects and exams**Prerequisites**: Basic knowledge in Data Science will be very helpful**Cost**: Free or $1350 with certificate

#### What You’ll Learn

- EVERYTHING starting from Python, Statistics and Probability, fundamentals of Data Science and Machine Learning.
- Create decision-making models by analyzing big data
- Handling structured and unstructured data
- Creating supervised and unsupervised models
- Building Machine Learning and Deep Learning models

#### Why You Should Enroll

- It’s from MIT. Do I need to tell you anything more?
- A complete journey divided into 5 different courses
- A community of intellectual moderators and peers to help you out whenever you’re stuck.
- Challenging projects to make you ready for industry
- The certificate is recognized by many top universities and equals 20%-30% credit of the master’s program!

#### 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

**Rating**: 4.9/5 (154k+ ratings)**Total Number of Students**: 3.9M**Number of Courses**: 1**Certificate**: Available on Purchase**Level**: Beginner**Time to Complete**: 3 months at 5 hours per week**Projects**: Lots of projects and exams**Prerequisites**: None**Cost**: Free (Audit) or all courses at $49/month or $33/month when bought yearly

#### What You’ll Learn

- EVERY SINGLE THEORY in Machine Learning.
- Supervised Learning
- Unsupervised Learning
- Best Practices in Machine Learning

#### Why You Should Enroll

- The best course on the planet that teaches every theoretical aspect that you need to know if you’re interested in Data Science or Machine Learning
- Mathematics for Machine Learning made easy.
- Taught by the co-founder of Coursera, founder of Deep Learning AI, co-founder, and leader of Google Brain, my favorite Andrew Ng!

#### 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

**Rating**: 4.8/5**Number of Courses**: 29 (mini-courses)**Certificate**: Available**Level**: Beginner**Time to Complete**: 2 months at 10 hours per week**Projects**: Good number of projects, but a huge amount of practice problems. The most in the list**Prerequisites**: None**Cost**: $12/month

#### What You’ll Learn

- Python Programming
- Data Manipulation with Pandas
- Data Visualization with Matplotlib, Seaborn
- Statistics
- Supervised and Unsupervised learning

#### Why You Should Enroll

- DataCamp skill tracks are best suited for beginners because of how easy they made it and the huge amount of exercises after each video tutorial
- Starts from Python and serves a good amount of knowledge on different libraries that are regularly used in Data Science
- The lecture slides and cheat sheets are very useful when you’re trying to implement a project on your own.
- The track is very engaging that I finished 1 course per day on average. But don’t rush like me.
- Delivers the maximum amount of knowledge in a minimum amount of time. So very efficient.

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

**Rating**: 4.8/5**Number of Courses**: 4**Certificate**: Yes. Considered to be 20% to 30% of total credit in Masters programs at some well-known universities.**Level**: Beginner to Advanced. Most suited for intermediate level**Time to Complete**: 10 months at 10 hours per week**Projects**: Full of Projects and exams**Prerequisites**: None. But a basic understanding of any programming language will be very helpful**Cost**: Free or $1260 with certificate

#### What You’ll Learn

- Everything from Python, Statistics and Probability, data cleaning and visualizing, creating machine learning models, and working with big data in Apache Spark!
- Loading and cleaning real word data with Python
- Visualizing complex data
- Creating machine learning models to extract information from noisy data
- How to use Apache Spark to analyze data that does not fit within the memory of a single computer
- Programming Spark with PySpark

#### Why You Should Enroll

- Focused on an industry level and real-world problems and solutions
- Dedicated course on Big Data, an increasing demand for Data Science
- A broad range of topics such as Generative and Discriminative models, clustering, dimensionality reduction, autoencoders, Deepnet, etc.
- Consists of both theories behind the models and real-world projects

#### 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

**Rating**: 4.7/5**Number of Courses**: 5**Certificate**: Available on completion**Level**: Intermediate**Time to Complete**: 4 months**Projects**: 4 projects and a lot of quizzes**Prerequisites**: Python. SQL, Statistics, Basic Machine Learning**Cost**: $1356 (Discount available)

#### What You’ll Learn

- Solving Data Science problems and presenting them to a various audience
- Software engineering skills that are essential for data scientists
- Working with data through the
**entire**data science process - Designing a recommendation engine with IBM
- Creating a data science project of your own

#### Why You Should Enroll

- The projects are designed by industry experts and are very popular right now
- Truly prepares you for a Data Science job
- Solving 4 big projects, including a unique one of your choice
- The support from the community, project reviewers, and technical mentor support is unique from other platforms
- The career services like resume support, Github review, and LinkedIn profile optimization will ease your way of getting a job

#### 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

**Rating**: 4.6/5 (150k ratings)**Total Number of Students**: 240k**Number of Courses**: 9**Certificate**: After each course, and also at the end of the full program**Level**: Beginner**Time to Complete**: 5 months at 10 hours per week**Projects**: n projects/ Available**Prerequisites**: None**Cost**: All courses at $39/month or $33/month when bought yearly

#### What You’ll Learn

- How to use the tools needed for Data Science
- Data Science methodology like the major steps involved in tackling a Data Science problem
- Fundamentals of Python programming for Data Science and AI
- Databases and SQL, a must-have knowledge for Data Scientist
- Data analysis and visualization
- Machine Learning models, including supervised and unsupervised learning
- A capstone real-life Data Science project

#### Why You Should Enroll

- A vast program consisting of almost everything you need to learn
- Dedicated courses on Data Manipulation, Visualization, and SQL
- A wide range of tools used: Jupyter / JupyterLab, GitHub, R Studio, and Watson Studio
- A wide range of libraries used: Pandas, NumPy, Matplotlib, Seaborn, Folium, ipython-sql, Scikit-learn, ScipPy, etc.
- Except for the first course, all other courses include a series of hands-on labs in the IBM Cloud

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

**Rating**: 4.5/5 (85k ratings)**Total Number of Students**: 370k**Number of Courses**: 1 (All in one)**Certificate**: Available**Level**: Beginner**Time to Complete**: 2 months**Video Material Length**: 28.5 hours**Projects**: Available**Prerequisites**: None**Cost**: $9.99

#### What You’ll Learn

- Probability: Combinatorics, Bayesian Interface, Distributions
- Statistics: Descriptive statistics, Inferential statistics, Hypothesis testing
- Linear Algebra necessary for Data Science
- Python programming
- Advanced statistical methods
- Deep Learning using Tensorflow
- Case studies

#### Why You Should Enroll

- A lot of offers within a very cheap price
- Touches a lot of things you must know in your Data Science journey
- Focuses a lot on the mathematics behind Data Science, which is very important
- No renew price like other platforms

#### 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

**Rating**: 4.6/5 (n ratings)**Total Number of Students**: 420k**Number of Courses**: 1 (All in one)**Certificate**: Available**Level**: Beginner**Time to Complete**: 2 months**Video Material Length**: 25 hours**Projects**: Available**Prerequisites**: None**Cost**: $9.99

#### What You’ll Learn

- Basic Python Programming
- A satisfactory amount of knowledge on Numpy, Pandas, Matplotlib, Seaborn libraries.
- Machine Learning models starting from linear regression up to recommender system
- Natural Language Processing
- Neural Networks, Deep Learning, and Big Data

#### Why You Should Enroll

- Popular topics covered within a very cheap price
- Focuses a lot on Data Manipulation and Data Visualization, which I like a lot
- Most of the topics are covered and it’s enough for you to start exploring Data Science
- Includes NLP, Big Data, and Spark with Python
- A very well structured program

#### 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

**Rating**: 4.5/5 (42k ratings)**Total Number of Students**: 270k**Number of Courses**: 5**Certificate**: Available**Level**: Beginner.**Time to Complete**: 5 months at 7 hours per week**Projects**: Some projects and a bunch of quizzes**Prerequisites**: Basic Python programming language will be helpful**Cost**: Free on audit or all courses at $49/month or $33/month when bought yearly

#### What You’ll Learn

- Basics of Python, importing tabular data, cleaning it, manipulating, and running basic inferential statistical analysis
- Data visualization, plotting, charting, data representation, and best practices using the Matplotlib library
- Supervised and Unsupervised learning theories and implementation using Scikit Learn
- Text mining and manipulation using NLTK framework, regex, NLP
- Social network analysis with NetworkX library

#### Why You Should Enroll

- Will be very helpful for those who are interested in text manipulation
- Offers a unique course which is Applied Social Network Analysis with Python
- The community support and graded programming assignments will attract you a lot
- Serves enough knowledge to start working with your own projects
- I consider it to be kind of a complete guideline, although you’ve to learn a lot on your own

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

**Rating**: 4.9/5**Number of Courses**: 9**Certificate**: Available**Level**: Beginner**Time to Complete**: 6 months at 10 hours per week**Projects**: Lots of projects and quizzes**Prerequisites**: None**Cost**: $792

#### What You’ll Learn

- Basics of R programming, including data wrangling, sorting, and making plots
- Data Visualization using ggplot2 and differentiating weakness of several widely used plots
- Probability and Statistics, and the theorems necessary for Data Science
- How to use various productivity tools needed for Data Science, such as Linux, RStudio, and Github
- Machine Learning concepts starting from Linear Regression to Movie Recommender System

#### Why You Should Enroll

- If you wish to learn Data Science with R, then this is the best program on the internet right now
- A full program starting from the basics of R programming to Machine Learning models, including the mathematics behind it!
- It has lots of projects, specially the capstone project will be very challenging.
- It has a community. Get help from moderators and peers around the world.

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

**Rating**: 4.5/5 (83k ratings)**Total Number of Students**: 420k**Number of Courses**: 10**Certificate**: After each course and also at the end of the specialization**Level**: Beginner**Time to Complete**: 7 months at 10 hours per week**Projects**: Full of projects and quizzes**Prerequisites**: None**Cost**: All courses at $39/month or $33/month when bought yearly

#### What You’ll Learn

- Tools for a Data Scientist, such as version control, markdown, git, R and RStudio
- Foundation in R programming language
- Collecting data, cleaning, analyzing, visualizing in graphs, and reporting in a reproducible manner
- Fundamentals of inference in a practical approach
- Regression models, prediction functions, and various Machine Learning models
- The statistical fundamentals of creating a data product that can be used to tell a story about data to a mass audience

#### Why You Should Enroll

- It’s a complete program for learning Data Science with R and does not have any prerequisites
- 10 different courses focusing on 10 different important sectors of Data Science
- This program is different because of its unique practical approach.
- It shows how to collect data, how to report modern data analysis in a reproducible manner, how to create a data product that can be used to tell a story about the data. These are unique.

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

**Rating**: 4.6/5**Number of Courses**: 19**Certificate**: Available**Level**: Beginner**Time to Complete**: 3.5 months at 10 hours per week**Projects**: Some projects and a lot of practice problems**Prerequisites**: None**Cost**: $12/month

#### What You’ll Learn

- Fundamentals of R programming
- Data manipulation with dplyr and visualization with Tidyverse and ggplot2
- Correlation of data and Regression model
- Supervised learning (classification and regression) and unsupervised learning (clustering and dimensionality reduction)
- Cluster analysis

#### Why You Should Enroll

- The easiest and engaging way to start learning Data Science in R
- A rich amount of practice problems make it suitable for absolute beginners
- Different courses on dplyr, Tidyverse, and ggplot2 helps to master these skills very easily
- Covers the most important topics of Data Science in an engaging manner

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

**Rating**: 4.6 (13k ratings)**Total Number of Students**: 70k**Number of Courses**: 1 (All in one)**Certificate**: Available**Level**: Beginner/Intermediate**Time to Complete**: 1 month at 10 hours per week**Video Material Length**: 17.5 hours**Projects**: Projects and quizzes on every major topic**Prerequisites**: Basic math skills**Cost**: $9.99

#### What You’ll Learn

- Fundamentals of R programming
- Data Manipulation and Visualization
- Machine Learning models
- NLP
- Neural Nets

#### Why You Should Enroll

- It includes NLP and Neural Nets, which are absent in the courses listed above
- Best for beginners who have some knowledge in probability and statistics
- Covers almost all the major topics for Data Science in R
- Best course for the cheapest price

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

- Complete beginners and want to explore the field before spending a good amount of time and money: Either The Data Science Course 2020: Complete Data Science Bootcamp by Udemy or Python for Data Science and Machine Learning Bootcamp by Udemy.
- An absolute beginner who loves engaging environments and lots of practice problems to grasp the basics properly: Data Scientist With Python by DataCamp
- Determined to start the journey: Machine Learning by Andrew Ng on Coursera to sharpen the theories
- Undergrad student looking for a complete program and also use the certificate as a 20%-30% credit in the Master’s program: Either MicroMasters® Program in Statistics and Data Science by MIT on EdX or MicroMasters® Program in Data Science by UCSanDiego on EdX.
- Have strong knowledge of Python, SQL, and Mathematics and now want to be ready for a job: Data Scientist NanoDegree by Udacity
- Willing to learn with industry tools experience: IBM Data Science Professional Certificate by Coursera
- Have a passion for Social Network Analysis or looking to audit: Applied Data Science with Python Specialization by UMich on Coursera

### R Track

- Absolute beginners looking for an engaging environment and lots of practice problems: Data Scientist with R by DataCamp
- Undergrad student looking for a complete program, and also want to use the certificate as a 20%-30% credit of Masters program: Professional Certificate in Data Science by Harvard on Edx. It also contains the Best Data Science Courses in R on the internet right now.
- The best Data Science courses at a very reasonable price for absolute beginners: Data Science Specialization by John Hopkins on Coursera
- Looking for NLP and Neural Nets knowledge in R: Data Science and Machine Learning Bootcamp with R by Udemy

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

- 10 Best Japanese Language Courses Online Free + Paid [2021]
- 9 Best Procreate Courses for Beginners and Artists [2021]
- 11 Best Digital & Traditional Illustration Courses [2021]
- 16 Best Data Analysis Courses For Beginners 2021 [Reviewed]
- Choosing from the Top 10 C++ Courses: The Ultimate Guide 2021

## 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.