Are you looking for the **Best Data Science Programs Online**? If yes, you are in the right place. In this article, you will find the **Best Data Science Programs Online**.

To gain data science skills, there are numerous programs available. But I have filtered these programs on the **following criteria-**

**Criteria-**

- Rating of these Programs.
- Coverage of Topics.
- Engaging trainer and Interesting lectures.
- Number of Students Benefitted.
- Good Reviews from various aggregators and forums.

So, without wasting your time, let’s start finding the **Best Data Science Programs**. At the end of this article, you will find some **best free data science programs** too.

**Best Data Science Programs** **Online**

- 1. Become a Data Scientist– Udacity
- 2. Data Science Specialization– Coursera
- 3. Data Scientist with Python– Datacamp
- 4. Programming for Data Science with Python– Udacity
- 5. Applied Data Science with Python Specialization– Coursera
- 6. IBM Data Science Professional Certificate– Coursera
- 7. Programming for Data Science with R– Udacity
- 8. Advanced Statistics for Data Science Specialization-Coursera
- 9. The Data Science Course 2024: Complete Data Science Bootcamp– Udemy
- 10. Statistics with R Specialization– Coursera
- 11. Intro to Data Science– Udacity
- 12. Foundations of Data Science: K-Means Clustering in Python– Coursera
- 13. Python For Data Science– Udemy
- 14. Introduction to Data Science– edX
- 15. Intro to Data Analysis– Udacity

**1. Become a Data Scientist– Udacity**

**Rating-** 4.7/5

**Time to Complete-** 4 months( If you spend 10 hrs/week)

This is a **Nano-Degree Program** offered by Udacity. This is an advanced-level program. In this program, you will learn how to solve **Data Science Problems** using **Python Programming,** **Software Engineering Skills**, and **Data Engineering skills**.

The **Udacity Data Science Nanodegree** program is more practical than other courses. The content of this Nanodegree program is **advanced and updated**, combined with **Real-World problems** **created by the leaders in the industry**. Throughout the Nanaodegree program, you will work on the following **4 different projects**–

**Write a Data Science Blog Post****Build Disaster Response Pipelines with Figure Eight****Design a Recommendation Engine with IBM****Data Science Capstone Project**

**Extra Benefits-**

- You will get a chance to work on
**real-world projects with industry experts.** - You will get
**Project feedback from experienced reviewers**. - You will also get
**Technical mentor support.**

**Who Should Enroll?**

Those **who are planning to switch their career to Data Science** and are comfortable with the following concepts-

- Python programming, including common data analysis libraries
**(NumPy, pandas, Matplotlib).** - SQL programming
- Statistics (Descriptive and Inferential)
- Calculus
- Linear Algebra
- Experience wrangling and visualizing data

**Interested to Enroll?**

If yes, check out the details here- **Become a Data Scientist Program**.

**2. Data Science Specialization**– **Coursera**

**Provider-** Johns Hopkins University

**Rating**– 4.5/5

**Time to Complete- **11 months (7 hours per week)

This is also one of the **most highly rated and enrolled course series**. In this course series, there is a separate section on **statistics**. And Knowledge of Statistics is mandatory for Data Science.

This Data Science specialization Program is the perfect mixture of **theory and practical applications**. R programming language is used for all Data Science related tasks.

This program has 10 courses.

**Skills Gain-**

- Data Science
- Machine Learning
- R Programming
- Rstudio
- Github
- Regression Analysis
- Data Analysis
- Data Manipulation
- Data Cleansing
- Cluster Analysis
- Debugging
- Regular Expression (REGEX)
- Hands-on project using R Programming Language.

**Extra Benefits-**

- You will earn a
**Shareable Certificate**after completing the**Data Science specialization Program**. - Along with that, you will get
**Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.**

**Who Should Enroll?**

- Those who have beginner-level knowledge in any programming language.
- If you want to master skills in Data Science.

**Interested to Enroll?**

If yes, then check out all details here- **Data Science Specialization**.

**3. ****Data Scientist with Python**– **Datacamp**

**Data Scientist with Python**–

**Datacamp**

**Time to Complete- **88 hours

This is a career track with 29 courses. If you are looking for a course that will provide all data science information in one place, then this is the best pick for you. This career track begins with **Python Programming**. You will learn Python from scratch.

After learning Python, you will learn **Data Manipulation with pandas, data visualization with matplotlib and Seaborn, statistical thinking in Python, machine learning,** and much more. Throughout these courses, you will work on **real-world problems.**

**Who Should Enroll?**

- Those who are a complete beginner in data science, and looking for step by step career track for data science.

**Interested to Enroll?**

If yes, then check out the details here- **Data Scientist with Python**.

If you are planning to learn Data Science with R, then you can check this career track- **Data Scientist with R**.

**4. **** Programming for Data Science with Python– Udacity**

**Programming for Data Science with Python– Udacity**

**Time to Complete- **3 months( If you spend 10 hrs/week)

This is a Nanodegree program offered by Udacity. In this Nanodegree program, you will learn how to **represent and store data using Python** **data types and variables**. You will also use **conditionals and loops** to control the flow of your programs.

By using complex data structures like **lists, sets, dictionaries, and tuples**, you will store collections of related data. You will also learn two powerful Python libraries – **Numpy and Pandas.**

**Extra Benefits-**

- You will chance to work on
**real-world projects with industry experts.** - You will get
**Project feedback from experienced reviewers**. - You will also get
**Technical mentor support.**

**Who Should Enroll?**

- Anyone can enroll in this program who has
**basic computer skills.**

**Interested to Enroll?**

If yes, then check it out here- **Programming for Data Science with Python**.

**5. Applied Data Science with Python Specialization– Coursera**

**Provider- **University of Michigan

**Rating-** 4.5/5

**Time to Complete- **5 months ( 7 hours per week)

This specialization program teaches data science through the **python programming language.**

You will get a strong introduction to data science Python libraries, like **matplotlib, pandas, nltk, scikit-learn, and networkx.**

This course series **doesn’t** include **Statistics needed for Data Science** and various **Machine Learning algorithms**. It focuses on how to use these algorithms in Python.

If you want to learn Statistics first, then consider the **Statistics with Python Specialization**. In Statistics with Python Specialization, you will learn very important Statistical skills that are required for data science.

**Skills Gain-**

- Text Mining
- Python Programming
- Data Cleansing
- Data Virtualization
- Data Visualization (DataViz)
- Machine Learning (ML) Algorithms
- Natural Language Toolkit (NLTK)

**Courses include-**

This Specialization Program consists of 5 Courses-

**I****ntroduction to Data Science in Python****Applied Plotting, Charting & Data Representation in Python****Applied Machine Learning in Python****Applied Text Mining in Python****Applied Social Network Analysis in Python**

**Extra Benefits-**

- You will earn a
**Shareable Certificate**. - Along with that, you will get
**Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.**

**Who Should Enroll?**

- This program is
**not for Beginners.**Those who have**Intermediate level knowledge**in Data Science can Enroll in this program. - The one, who has basic python or programming knowledge.

**Interested to Enroll?**

If yes, then check out all details here- **Applied Data Science with Python Specialization**.

**6. IBM Data Science Professional Certificate**– **Coursera**

**Provider-** IBM

**Rating**– 4.6/5

**Time to Complete- **10 months (5 hours per week)

This is one of the highly enrolled and highly rated course series. This **Professional Certificate from IBM** is for anyone who wants to start a career in Data Science.

This program consists of 9 courses. These 9 courses will cover all Data Science skills starting from **open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning.**

To start **Professional Certificate from IBM** **Program**, no prior knowledge of Computer Science and Programming is required.

Now, let’s see what skills will you gain after completing this course-

**Skills Gain-**

- Data Science
- Machine Learning
- Python Programming
- Data Analysis
- Data Visualization (DataViz)
- Predictive Modelling
- Relational Database Management System (RDBMS)
- SQL
- Cloud Databases
- Pandas, Numpy, and Ipython.
**Hands-on assignments**and built a portfolio of data science projects.

**Which tools, you will work with?**

- Jupyter/JupyterLab,
- Zeppelin notebooks,
- R Studio,
- Watson Studio

**On Which projects, you will work?**

- Random album generator,
- Predict housing prices,
- Best classifier model,
- Battle of neighborhoods.

**Courses include**–

This Specialization Program consists of 9 Courses-

**What is Data Science?****Tools for Data Science****Data Science Methodology****Python for Data Science and AI****Databases and SQL for Data Science****Data Analysis with Python****Data Visualization with Python****Machine Learning with Python****Applied Data Science Capstone**

**Extra Benefits-**

- You will earn a Professional Certificate from Coursera.
- You will get a
**Digital Badge from IBM**. - After completing the Professional Certificate, you will get
**FREE**career resources.

**Who Should Enroll?**

- Those who are beginners, with no prior experience in Data Science.
- The one, who is looking to start a new career, or wants to change the current one.

**Interested to Enroll?**

If yes, then check out all details here- **IBM Data Science Professional Certificate**.

**7. ****Programming for Data Science with R**– **Udacity**

**Programming for Data Science with R**–

**Udacity**

**Provider- **Udacity

**Rating- **4.7/5

**Time to complete- **3 months( If you spend 10 hours/week)

This is a **Nanodegree program** offered by Udacity. In this program, you will learn the **programming fundamentals **required for data science. This program will teach you **SQL fundamentals **such as** Joins, Aggregations, and Subqueries** and how to answer complex business problems using SQL.

Then you will learn how to **represent and store data using R data types and variables**, and how to make **beautiful visualizations using the ggplot2 library.** You will also learn how to use **version control **and** share your work **with other people in the **data science industry.**

**Extra Benefits-**

- You will get a chance to work on
**Real-world projects from industry experts**and**Project feedback from experienced reviewers**. - You will also get
**Technical mentor support**and**Career services.**

**Who Should Enroll?**

- Those who are a beginner in data science. There are no prerequisites for this Nanodegree program.

**Interested to Enroll?**

If yes, then check out the details here- **Programming for Data Science with R**

**8. ****Advanced Statistics for Data Science Specialization-Coursera**

**Advanced Statistics for Data Science Specialization-Coursera**

**Rating- **4.5/5

**P****rovider-** Johns Hopkins University

**Time to Complete- **5 months( If you spend 2 hrs/week)

This is an **advanced-level specialization program **for data science. In this program, you will learn the advanced concepts of statistics and understand the **behind-the-scenes mechanism** of **key modeling tools in data science**, like **least squares and linear regression.**

In this course, you will get a firm foundation in the **linear algebraic treatment of regression modeling**, which will greatly augment applied data scientists’ general understanding of regression models. There are 4 Courses in this Specialization.

**Courses Details-**

**Mathematical Biostatistics Boot Camp 1****Mathematical Biostatistics Boot Camp 2****Advanced Linear Models for Data Science 1: Least Squares****Advanced Linear Models for Data Science 2: Statistical Linear Models**

**Extra Benefits-**

- You will earn
**Shareable Specialization and Course Certificates**. - Along with that, you will get
**Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.**

**Who Should Enroll?**

- Those who have previous knowledge in basic calculus and linear algebra.

**Interested to Enroll?**

If yes, then check out the details here- **Advanced Statistics for Data Science Specialization**

**9. The Data Science Course 2024: Complete Data Science Bootcamp**– **Udemy**

**Time to Complete- **28.5 hours

This is the best course, I have found on Udemy. Why…? because this course tries to cover almost all necessary topics of data science. This course covers the following topics-** Intro to data science, statistics, and mathematics required for data science, Python, Tableau, machine learning, and deep learning.**

**Extra Benefits-**

- You will get
**a Certificate of Completion**. - Along with that, you will get lifetime access to the course material.

**Who Should Enroll?**

- Those who are a beginner in data science.

**Interested to Enroll?**

If yes, then check out the course details here- **The Data Science Course 2020: Complete Data Science Bootcamp**

**10. ****Statistics with R Specialization**– **Coursera**

**Statistics with R Specialization**–

**Coursera**

**Rating-** 4.6/5

**Provider-** Duke University

**Time to Complete- **7 Months (If you spend 3 hours/week)

This specialization program will give you **in-depth Statistics knowledge** with the help of **R**. In this program, you will learn how to **analyze and visualize data in R** and create reproducible data analysis reports, and much more.

R is much better than Python for performing statistical operations. So, if you want to master Statistics, then I would recommend this specialization program.

In this specialization program, you will learn the following skills- **Bayesian Statistics, Linear Regression, Statistical Inference, R Programming, Statistics, Rstudio, Exploratory Data Analysis, Statistical Hypothesis Testing, Regression Analysis, Bayesian Linear Regression, Bayesian Inference, and Model Selection.**

This specialization program contains **5 Courses**. Let’s see the details of the courses-

**Courses Include-**

**Introduction to Probability and Data with R****Inferential Statistics****Linear Regression and Modeling****Bayesian Statistics****Statistics with R Capstone**

**Extra Benefits-**

- You will get a
**Shareable Certificate and Course Certificates**upon completion. - Along with this, you will get

**Who Should Enroll?**

- Those who have
**basic math knowledge**. No previous programming knowledge is required for this course.

**Interested to Enroll?**

If yes, then check out all details here- **Statistics with R Specialization**.

So, these are the **10** **Best Data Science Programs**. Now, let’s see some **best free data science programs** too.

**Best FREE Data Science Programs**

**11. Intro to Data Science– Udacity**

**Time to complete- **2 Months

This is a **completely free** course to learn data science with Python. In this course, you will learn the **fundamentals of data science, data wrangling, normal distribution, data visualization, and the basics of MapReduce.**

In this course, you will work on a data science project end to end, from analyzing a dataset to visualizing and communicating your data analysis.

**Interested to Enroll?**

If yes, then check out all details here- **Intro to Data Science**.

**12. Foundations of Data Science: K-Means Clustering in Python– Coursera**

**Rating- **4.6/5

**Time to Complete- **29 hours

This is a **free** course offered by Coursera, where you will learn the **core concepts of Data Science **and covers **basic mathematics, statistics, and programming skills**. In this course, you will implement the **K-means algorithm** using Python programming. This course is a perfect balance between **theory and practice** and a good and useful course for learning the basics of data science.

**Interested to Enroll?**

If yes, then check out all details here- **Foundations of Data Science: K-Means Clustering in Python**

**13. Python For Data Science– Udemy**

**Rating- **4.4/5

**Time to complete- **3hr 55min

This course teaches the Python basics for data science. And this course is good for those who are **Data Science, Artificial Intelligence, Machine Learning, and Deep Learning Aspirants.** This is not an advanced-level course, but good for understanding the Python basics.

**Interested to Enroll?**

If yes, then check out all details here- **Python For Data Science**

**14. Introduction to Data Science– edX**

**Time to Complete- **6 Weeks

This free course is good for beginners to understand the **basics of data science** such as** tools and algorithms** used daily, **skills needed** to be a successful data scientist, the **role of data science** within a business, etc.

**Interested to Enroll?**

If yes, then check out all details here- **Introduction to Data Science**

**15. Intro to Data Analysis– Udacity**

**Time to Complete**– 6 Weeks

This is a **completely free course** and a good first step towards understanding the **data analysis process**. In this course, you will learn the **entire data analysis process** including **posing a question, data wrangling, exploring the data, drawing conclusions, and communicating your findings.** This course will also teach **Python libraries NumPy, Pandas, and Matplotlib.**

**Interested to Enroll?**

If yes, then start learning- **Intro to Data Analysis**

And here the list ends. I hope these ** Best Data Science Programs Online** will help you to master data science. I would suggest you bookmark this article for future referrals. Now it’s time to wrap up.

**Conclusion**

In this article, I tried to cover the **15 Best Data Science Programs Online**. If you have any doubt or questions, feel free to ask me in the comment section.

All the Best!

Enjoy Learning!

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Thank YOU!

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## Though of the Day…

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‘It’s what you learn after you know it all that counts.’John Wooden

### Written By Aqsa Zafar

Founder of MLTUT, Machine Learning Ph.D. scholar at Dayananda Sagar University. Research on social media depression detection. Create tutorials on ML and data science for diverse applications. Passionate about sharing knowledge through website and social media.