9 Best Data Science Classes, Courses and Programs Online

Do you want to learn data science? Check out this expert list of 9 data science online classes, courses, tutorials and certificates. Our team looked at 28 data science classes, but these 9 really stood out. This list of data science learning resources was compiled based on factors like the number of students, difficulty level, price (free vs paid), instructor and duration. Scroll down to see our list.

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Best Data Science Classes

  1. Data Science
  2. Data Science | edX
  3. Foundations of Data Science | edX
  4. CS109 Data Science
  5. IBM Data Science Professional Certificate
  6. Intro to Data Science
  7. The Data Science Course 2019: Complete Data Science Bootcamp
  8. Data Science A-Z™: Real-Life Data Science Exercises Included
  9. Machine Learning A-Z™: Hands-On Python & R In Data Science

Data Science

Platform: Coursera
Duration: 5 hours/week for 8 months

An interesting look at basic data science and data visualization. Before signing up for this course, you should have a rudimentary understanding of Python and regression. If you don’t consider taking a Python course first.

The Data Science course is available on Coursera and taught by Jeff Leek, an Associate Professor of Biostatistics at Johns Hopkins University. There are currently 245,606 students enrolled in this online class.

Skills you will learn

  • Learn the basics of data science
  • Manipulate data sets to create data visualizations
  • Use R programming to aid your data analysis and visualization
  • Understand the data pipeline from start to finish
  • Become proficient in GitHub as a data science tool
  • Learn about statistical inferences and regression models
  • Complete a data science capstone project

Kickstart your exciting career in data science by signing up for this useful course. If you want to learn more about how to manipulate and visualize data, this course will be of great use to you.

Data Science | edX

Platform: edX
Duration: About 2-4 months

Understand how to apply data science and visualization in real-world situations. This self-paced course is part of a Data Science Professional Certification program.

The Data Science class is available on edX and taught by Rafael Irizarry, a Professor of Biostatistics at Harvard University.

Skills you will learn

  • Master basic R programming skills
  • Study fundamental statistical concepts
  • Use tidyverse, ggplot2, and dplyr
  • Become proficient in Unix/Linux, GitHub, and RStudio
  • Study essential machine learning algorithms
  • Read case studies to enhance your real-world understanding of data science

Business professionals and curious minds alike will learn a lot from this data science course. If you are hoping to enhance your data science skill set, sign up right away.

Foundations of Data Science | edX

Platform: edX
Duration: 2-4 months

This course will provide you with basic information about data science. Upon completion, you will have the fundamental knowledge needed to create your own data visualizations in a professional manner. We recommend Tableau courses for more advanced topics on data visualization.

The Foundations of Data Science class is available on edX and taught by John DeNero, a Giancarlo Teaching Fellow in the EECS Department at UC Berkeley.

Skills you will learn

  • Enhance your critical thinking skills
  • Learn basic Python 3 programming language
  • Practice computational thinking
  • Analyze and interpret data to create informational visualizations
  • Use data to make accurate predictions and projections
  • Study real-world examples to enhance your understanding of data science concepts

If you have had little to no exposure to the basics of data science, this course is perfect for you. The information in this class will help prepare you to move on to more advanced data science concepts in the future.

CS109 Data Science

Platform: Harvard
Duration: N/A

This class will teach you to use data to generate predictions based on your insights. It is recommended that you are comfortable with programming at the CS 50 level or above, and you should also have a college-level understanding of statistics.

The CS109 Data Science course is available on github and taught by Hanspeter Pfister, a computer science professional.

Skills you will learn

  • Study basic data science concepts
  • Learn about data sampling techniques
  • Use collected data to create useful data sets
  • Learn data storage and management skills so that you can access data efficiently
  • Practice exploratory data analysis
  • Use data to create hypothesis and predictions
  • Learn about clustering, regression, and classification tools
  • Summarize your data using visualization and stories

Open yourself to a variety of business opportunities by signing up for this online class. We recommend this course to people who want to be able to communicate data information more professionally and efficiently.

IBM Data Science Professional Certificate

Platform: Coursera
Duration: About 12 hours/week for 2 months

Earn professional certification in data science from IBM by completing this course. Develop your skills in the fields of machine learning and data science in just a few short months.

The IBM Data Science Professional Certificate course is available on Coursera and taught by Joseph Santarcangelo a Ph.D. and Data Scientist at IBM. There are currently 55,881 students enrolled in this online class.

Skills you will learn

  • Study the basics of data science
  • Learn the best tools for data science analysis
  • Explore data science methodology
  • Use Python for data analysis and programming
  • Extract data using SQL
  • Practice creating data visualizations

This course is for people who are serious about pursuing careers in data science or machine learning. The professional certification earned in this course will help enhance your marketability and business skill set.

Intro to Data Science

Platform: Udacity
Duration: About 2 months

Learn the basics of data science and understand how to become a professional data scientist. This course is part of a Data Analyst Nanodegree series, so sign up if you are interested in learning about more advanced data science concepts down the road.

The Intro to Data Science course is available on Udacity and taught by Dave Holtz, an instructor.

Skills you will learn

  • Study the fundamentals of data science
  • Explore different types of data formatting
  • Learn to acquire and analyze data
  • Create informative and useful data visualizations
  • Learn tips for Big Data and Map Reduce

This course is intended for students who are at an intermediate level of skill with data science topics. You should have a basic understanding of statistics and programming if you want to take this course.

The Data Science Course 2019: Complete Data Science Bootcamp

Platform: Udemy
Duration: Almost 28 hours

Gain a comprehensive understanding of data science. Upon completion, you will receive a certificate that you can show to prospective employers and business connections.

The Data Science Course 2019: Complete Data Science Bootcamp is available on Udemy and taught by 365 Careers, a group of business and financial professionals. There are currently 89,048 students enrolled in this online class.

Skills you will learn

  • Explore different careers in data science
  • Learn the basics of data science
  • Study data science tools and techniques
  • Learn about probability and statistics in relation to data science
  • Practice using Python, pandas, NumPys, and many more important programs
  • Learn basic coding concepts
  • Study machine learning algorithms

If you are serious about pursuing a career in data science but aren’t sure how to get started, this course is ideal for you. You will explore a variety of data science careers in order to find one that you will enjoy.

Data Science A-Z™: Real-Life Data Science Exercises Included

Platform: Udemy
Duration: About 21 hours

Learn about data science by studying analysis examples firsthand. You will explore a variety of programs and techniques in order to gain confidence and skills in this growing field.

The Data Science A-Z™: Real-Life Data Science Exercises Included course is available on Udemy and taught by Kirill Eremenko, a data scientist. There are 104,235 students in this online class.

Skills you will learn

  • Explore the fundamentals of data science
  • Use Tableau for data mining
  • Perform linear regressions and multiple linear regressions
  • Interpret coefficients of both types of regressions
  • Learn about the Chi-Squared statistical test
  • Learn all of the steps associated with completing a data science project
  • Read a confusion matrix on your own
  • Understand basic odds and statistics

If you learn best through hands-on instruction and project-based learning, this course is perfect for you. Sign up for this course if you are curious about the basics of data science and want to learn more.

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

Platform: Udemy
Duration: Almost 41 hours

Become proficient in Python by the end of this data science class. You will learn the basics of R programming and machine learning.

Machine Learning A-Z™: Hands-On Python & R In Data Science is available on Udemy and taught by Kirill Eremenko, a data scientist. There are 419,759 students in this online.

Skills you will learn

  • Learn how machine learning impacts our future
  • Explore the steps of data preprocessing
  • Study different types of regressions
  • Learn about simple linear regressions and multiple linear regressions in R
  • Explore Python for data science and analysis
  • Learn about SVR in R and Python
  • Study clustering and classifications

If you are ready for an in-depth look at data science, programming in R, and Python software, this course has everything you need. Sign up today to put your career in data science on the right track.

You’ve made it, we hope you found the course you were looking for. This was our list of the best data science online programs, courses, classes with a certificate of completion. Are we missing a good resource? Let us know. Thanks for going through our list!

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