10 BEST Data Science Courses In US For 2023 (Ranked)

Planning to learn data science but confused about where to begin with?

This ultimate list of data science courses in the US is the ONLY guide you will need. 

Whether you are a complete beginner or want to deepen your knowledge, this list has it all. 

Best part?

We take a data-driven approach to grade each course on this list so you can select the right course to invest in.

HOW WE SELECTED AND SCORED THESE COURSES:

  1. Compiled the list of available courses available
  2. Researched a few metrics for each course (Placement assistance, Course fees, Course rating, Number of reviews, Depth of the curriculum, and Brand assessment)
  3. Created a course grading algorithm with different weightage

FYI, we call this— 10Pie Course Rating System.

[I agree that this grading system isn’t perfect. However, we prefer to go with a data-driven approach rather than just a subjective list. Learn more about our course rating methodology here.]

1. University of Michigan: Applied Data Science with Python Specialization

Applied Data Science with Python Specialization

GMB Rating: 4.5/5

Placement assistance: No

Certification available: Yes

Course duration: 3 months at 10 hours a week 

Price: Free but charges $35 to $75 for the certificate 

Course type: Non-academic course

Teaching mode: Online 

This is a five-course specialization series by Coursera in collaboration with the University of Michigan. In this course, you will learn data science through Python programming. It is an intermediate-level course, that you can complete at your own pace. Based on the course curriculum, it is best suited for people with basic programming and Python knowledge. 

Modules covered

  • Introduction to Data Science in Python
  • Applied plotting, charting & data representation 
  • Applied ML in Python
  • Applied Social Network Analysis in Python

Why enroll in this course 

If you are a professional with a basic knowledge of programming and Python and want a flexible course to gain knowledge about data science and skills like text mining, Pandas, and Matolotlib then this is suitable for you.

Apart from English, you get subtitles in Arabic, French, German, and nine more international languages, thus language won’t be a barrier. 

2. Duke University: Data Science Math Skills

Duke University: Data Science Math Skills

GMB Rating: 4.5/5

Placement assistance: No

Certification available: Yes

Course duration: 13 hours 

Price: Free but charges $35 to $75 for a certificate 

Course type: Non-academic course.

Teaching mode: Online

This is a math-based data science course where you can learn about the basic maths required to be a successful data scientist. Therefore, knowing algebra and pre-calculus level maths is mandatory if you are planning to take this course. 

Modules covered

  • Set theory, including Venn diagrams
  • Properties of the real number line
  • Interval notation and algebra with inequalities
  • Uses for summation and Sigma notation
  • Math on the Cartesian (x,y) plane, slope, and distance formulas
  • Graphing and describing functions and their inverses on the x-y plane,
  • The concept of instantaneous rate of change and tangent lines to a curve
  • Exponents, logarithms, and the natural log function.
  • Probability theory, including Bayes’ theorem.

Why enroll in this course 

This no-code course is great for laying the foundation for data scientists through basic knowledge of maths, which is a must before moving forward to advanced material. So while you might take up other courses, you can go through its free (without a certificate but same content) version you clear your concepts. 

3. Massachusetts Institute of Technology: Introduction to Computational Thinking and Data Science

Introduction To Computational Thinking And Data Science

GMB Rating: 4.5/5

Placement assistance: No

Certification available: Yes

Course duration: 9 weeks

Price: Free but charges $75 for a certificate 

Course type: Non-academic

Teaching mode: Online

This course is all about teaching you how computational power can be used for data science. However please note that this is not a no-code course and you need to have some basic understanding of Python, prior programming experience, and rudimentary knowledge of computational complexity. 

Modules covered

  • Advanced programming in Python 3
  • Knapsack problem, Graphs, and graph optimization
  • Dynamic programming
  • Plotting with the pylab package
  • Random walks
  • Probability, Distributions
  • Monte Carlo simulations
  • Curve fitting
  • Statistical fallacies

Why enroll in this course 

If you have prior knowledge of coding and programming, this course will be a great opportunity for you to learn how you can implement your coding knowledge in data science and create some amazing projects like writing a program that will model the population dynamics of viruses replicating in a body. 

4. Datamites: Data Science Course by IABAC

Datamites: Data Science Course by IABAC

GMB Rating: 4.8/5

Placement assistance: Yes

Certification available: Yes

Course duration: 8 months

Price: $809 to $1,321 

Course type: Non-academic course.

Teaching mode: Online

This is a course powered by Datamites that is accredited by IABAC. This a coding-based data science course where you can choose between two regular and a corporate training model. The live virtual course is mentor paced whereas for the blended learning mode you get access to the materials for a year and can learn at your own pace. 

Modules covered

  • Python
  • R
  • Statistics
  • Machine learning algorithms
  • Business aspects
  • Tableau

Why enroll in this course 

The course is an in-depth one and gives the students unlimited access to their data science cloud lab for practice. Besides, after the certification exam you get to handle live client projects in the form of data science internships and the counselors also help with resume prepping and interviews. Hence, the course is overall well-suited for freshers. 

5. ExcelR: Data Science Course 

ExcelR: Data Science Course

GMB Rating: 4.9/5

Placement assistance: Yes

Certification available: Yes (three)

Course duration: 6 months

Price: $1300 to $1800

Course type: Non-academic course.

Teaching mode: Online + Offline

This course by ExcelR is in association with SGIT, Steinbesis University, Germany, which is why, at the successful completion of the course (attaining 60% or more), you get three assorted certificates (one each by Excler, IBM, and SGIT). The course has a comprehensive blend of theory, case studies, and capstone projects. 

Modules covered

  • Python
  • Predictive analysis using regression
  • Statistical analysis
  • Text analytics and NLP
  • Machine Learning
  • Data Mining
  • R tool
  • Forecasting analytics
  • Shiny app and Python Flask for deployment 
  • Tableau
  • Microsoft Azure
  • My SQL
  • Big Data Hadoop
  • LLM & ChatGPT

Why enroll in this course 

If you are a complete beginner in data science then this is the most elaborate online course you can find on this topic, that also from one of the highly reputed universities of Germany. Besides ExcelR’s dedicated interview preparation sessions can be a great handholding if you are just starting your data science career

6. UC San Diego: Learn data science by doing data science

UC San Diego: Learn data science by doing data science

GMB Rating: 4.2/5

Placement assistance: Yes

Certification available: Yes

Course duration: 10 months

Price: $1259

Course type: PG level course

Teaching mode: Online

This course by edX is in collaboration with UC San Diego which has four graduate-level courses combined in one. The course comprises both mathematical and computational aspects of data science and you will be taught how to use popular open-source software to collect, clean analyse big data to perform large-scale analysis. 

Modules covered

  • Python for data science
  • Probability and statistics in data science using Python
  • Machine learning fundamentals
  • Big Data analytics using Spark 

Why enroll in this course 

This course is best suited if you want a college-like learning experience, as you will be learning from the faculty of The University of California. The course is vast and in-depth and has a great blend of both mathematical and computational topics, which is rare to find in most courses. 

7. Stanford University: 21st-Century Teaching & Learning: Data Science

21st-Century Teaching & Learning: Data Science

GMB Rating: 4.5/5

Placement assistance: Yes/No

Certification available: Yes

Course duration: 30 hours

Price: $ 149

Course type: Non-academic course for educational personnel. 

Teaching mode: Online

This course is not focused on students but rather on teaching people who want to encourage their pupils to take data science. The course includes a focus on data literacy, and shares content knowledge and teaching ideas for that area. 

Modules covered/Syllabus

  • The limitless learning potential of all students and ways to communicate this information to students
  • The nature of our data-filled world and the meaning of data science
  • The importance of data literacy for all students
  • Data analysis tools and different ways to analyze and visualize data
  • The cross-curricular nature of data literacy and learning
  • How to develop exciting data-filled lessons for all students

Why enroll in this course 

If you are a teacher (k-12), principal, administrator, instructional coach, school support staff, or policy maker, this course will be a great one as there are little to no courses that address the importance of learning for the people of educational institutions. 

8. IBM: Introduction to Data Science Specialization

IBM: Introduction To Data Science Specialization

GMB Rating: 4.7/5

Placement assistance: No

Certification available: Yes

Course duration: 2 months at 10 hours a week

Price: Free but $35 to $75 for certification 

Course type: Non-academic course 

Teaching mode: Online

This course by Coursera in collaboration with IBM is a beginner-friendly program that will provide you the skills essential for understanding data science and machine learning application with practical examples. 

Modules covered

  • Data Science
  • Relational database management system (RDBMS)
  • Cloud databases 
  • Python Programming 
  • SQL

Why enroll in this course 

This is a practical based course where you will be able to learn about common data science tools like JupyterLaab and R studio at your own pace. Apart from theoretical knowledge, the course is also excellent for developing the mindset of a data scientist. 

9. Eastern University: MS in Data Science 

Eastern University: MS in Data Science 

GMB Rating: 4.9/5

Placement assistance: No

Certification available: Yes

Course duration:  Minimum 10 months 

Price: $9,900

Course type: Self-paced Masters’s degree course with 30 credits 

Teaching mode: Online

This is a self-paced master’s degree course that is 100% online powered by Eastern University. The university provides you with all the resources needed to complete your education at your pace.  But unlike most online resources, Eastern’s expert faculty will be available to assist with your individual questions and help you along the way.

Modules covered

The module is similar to most MS in Data Science courses starting from fundamentals to electives. To know about the course module you can head to their online portal

Why enroll in this course 

There are only a handful of online Masters’s degree courses that are self-paced. So it is best for working professionals who don’t want to face the additional pressure of their distance education. 

10. Harvard: Introduction to Data Science with Python

Harvard: Introduction to Data Science with Python

GMB Rating: 4.5/5

Placement assistance: No

Certification available: Yes

Course duration: 8 weeks for 3-4 hours per week 

Price: $199 – $299

Course type: Non-academic course.

Teaching mode: Online

This course by Harvard University is a self-paced data science course with a focus on Python. The course has an intermediate difficulty level and you need to have knowledge of basic level programming. 

Modules covered

  • Python
  • Data modeling, statistics, and storytelling using Python coding
  • Using popular libraries like Pandas, numPy, matplotlib, and SKLearn.
  • Running basic machine learning models using Python
  • Python in machine learning and artificial intelligence. 

Why enroll in this course 

This course is best for Python enthusiasts who want to utilize their Python knowledge in data science. 

Further resources on data science:

Data Science Course Fees in The USA 

$21,000 to $75,000 is what you can expect to pay for a data science course in the USA. However, the prices mentioned here are for full-time graduation-level courses. If you opt for online non-academic courses you can expect a price range anywhere between $50 to $10,000. 

Pick the right data science course in Mangalore.

What Is The Salary Of Data Scientists In The USA?

The average salary of data scientists in the USA is $99,235 per annum. However, this is an entry-level salary and can go up to $130,000 per annum as well. 

How much does a data scientist earn in the US

Career Scope Of Data Science In The USA 

As we discuss there are around 172,106 job postings for data scientists in the USA solely on LinkedIn. Hence, needless to say, the opportunities in this field are major.

data scientist jobs in US in Linkedin

Which Data Science Course To Follow In 2023 In The USA?

The ranking of our list is purely based on data that is gathered from reliable sources, so if you need to pick the best, we suggest you choose among the top five.

However, if you have any special preference like an online Masters’s degree or self-paced non-academic course, then you can filter according to that as well.

In the end, the best course depends on which course meets your goals and limitation.

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