Top 7 Coursera Courses to Learn Data Science in 2023 - Best of Lot

Hello guys, if you are thinking of starting a career in Data Science and Machine Learning and looking for the best resources, you have come to the right place. Earlier, I have shared the best Coursera courses to learn Software Development, Python Programming, Cloud Computing, and Web Development, and in this article, I am going to share the best online courses and certifications from Johns Hopkins University to learn Data Science from scratch with both Python and R. John Hopkins University is one of the world-class universities based in Baltimore, Maryland. It was founded in 1876, and its also America's first research university and home to nine world-class academic divisions working together as one university. 

Now, with Coursera, you can learn from world-class universities like Johns Hopkins from your home, and in this article, I am going to share the best Data Science programs from Johns Hopkins for both beginners and experienced IT professionals.

In fact, Coursera has many online courses, specializations, and certifications from Johns Hopkins University, which is trusted by millions of learners worldwide. If you wonder what Coursera Specialization is, let me give you a brief overview.

A Coursera Specialization is a series of courses that helps you master a skill. It also has a project at the end of the specialization, which gives you a chance to apply whatever you have learned into practice. You also receive a certification when you complete the specialization.

Also, When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course as you can pause your learning or end your subscription. You can also track your course enrollments and progress using the learner dashboard.

7 Best Data Science Specialization and Certification by Johns Hopkins University on Coursera in 2023

Now that you understand Coursera Specialization and programs let's check out the best Johns Hopkins programs to learn Data Science in 2023. You can choose any of these courses or combine them to learn Data Science and start your career.

1. Data Science Specialization by JHU

This is the most popular Data Science specialization from Johns Hopkins University and is perfect to launch your career in Data Science. This specialization contains a ten-course introduction to data science which is very well structured, developed, and taught by leading professors like
Jeff Leek, Ph.D., Roger D. Peng, Ph.D., and Brian Caffo, Ph.D. from Johns Hopkins University.

Here are key skills you will learn in this Data Science specialization.

• How to use the R programming language to clean, analyze, and visualize data.
• Entire data science pipeline from data acquisition to publication.
• How to use GitHub to manage data science projects and collaborate with other Data Scientists
• How to Perform regression analysis, least squares, and inference using regression models.

If you want to learn Data Science with R and Python, this JHU course is perfect. You will learn many in-demand skills like R programming, Machine Learning, Data Analysis, Regression Analysis, Data Manipulation, Data Analysis, Cluster Analysis, and tools like R Studio, Git, Regular Expression, etc.

More than 400K people have already joined this program to start their Data Science careers, 38% of them have started a new career after completing this specialization, and 19% have received a pay increase or promotion.

2. Data Science: Foundations using R

This is another popular Data Science program from Johns Hopkins University for those who want to learn Data Science with the R programming language. This program covers foundational data science tools and techniques, including retrieving, cleaning, exploring data, programming in R, and conducting reproducible research.

This specialization is suitable for learners who want to start and complete the foundational part of the curriculum first, before moving onto the more advanced topics in Data Science, Statistics, and Machine Learning. There are 5 courses in this program and are the very same courses make up the first half of the Data Science Specialization.

After completing this specialization, you can take the Data Science: Statistics and Machine Learning specialization, in which you will get a chance to build a data product using real-world data.

3. Executive Data Science Specialization

If you are a team lead, project manager, or senior manager responsible for leading the Data Science team and looking for a crash course in Data Science to better understand the tech talk and Data Science terminology and the process, this program is for you.

In this Executive Data Science Specialization, You’ll get a crash course in data science to be conversant in the field and understand your role as a leader. 

By going through this course, you get a decent understanding of the structure of the data science pipeline, the goals of each stage, and how to keep your team on target throughout.

You’ll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles. finally, you’ll learn some down-to-earth practical skills that will help you overcome the common challenges that frequently derail data science projects.

4. Data Visualization & Dashboarding with R

Data Visualization is one of the most important skills for any Data Scientist because of all the work you have done so far in getting the data, cleansing it, transforming, and analyzing it is useless if you cannot present it in an easy to understand and visual way to derive insight. 

You often need to present these results to senior management and people in charge of operations, growth, and other departments, and having a good command of Data Visualization makes your job easy.

This program is intended for learners who want to develop the ability to visualize data using R. In this Data Visualization specialization from Coursera, you will go through five courses to learn how to use R to create static and interactive data visualizations and publish them on the web, which will you prepare you to provide insight to many types of audiences.

This program will take approximately 4 months to complete, assuming you spend 4 hours a week.

5. Tidyverse Skills for Data Science in R

This is another amazing program from Johns Hopkins University for people seeking to develop Insights from Data With Tidy Tools. The Tidyverse packages provide a simple but powerful approach to data science that scales from the most basic analyses to massive data deployments, and you will learn how to import, wrangle, visualize, and model data with the Tidyverse R packages.

This program is intended for data scientists with familiarity with the R programming language and those seeking to do data science using the Tidyverse family of packages. 

There are 5 courses in this program, and you will cover importing, wrangling, visualizing, and modeling data using the powerful Tidyverse framework. This course covers the entire life cycle of a data science project and presents specific tidy tools for each stage.

This program will take approximately 7 months to complete on 3 hours/a week arrangement. After finishing every course and completing the hands-on project, you will also earn a certificate.

6. Data Science: Statistics and Machine Learning

This is an advanced Data Science specialization from Johns Hopkins University aimed at people familiar with Data Science basics and R programming language. This program continues and develops on the material from the Data Science: Foundations using R specialization.

In this program, you will learn about statistical inference, regression models, machine learning, and the development of data products. In the Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, learners will have a portfolio demonstrating their mastery of the material.

The five courses in this specialization are the same courses that make up the second half of the Data Science Specialization, the first program in this list. This specialization is suitable for learners who have already mastered the fundamentals and want to skip right to the more advanced courses.

Instead of joining these courses and specializations individually, you can also join Coursera Plus, a subscription plan from Coursera which gives you unlimited access to their most popular courses, specialization, professional certificate, and guided projects. 

7. Advanced Statistics for Data Science Specialization

Statics is vital for Data Scientists, and this is an amazing course to Learn Statistics for Data Science. You can join this course to familiarize yourself with fundamental concepts in probability and statistics, data analysis, and linear models for Data Science. 

This program starts with Mathematical Statistics Bootcamp, specifically concepts and methods used in biostatistics applications.  These range from probability, distribution, and likelihood concepts to hypothesis testing and case-control sampling.

Here are things you will learn about in this course:

• probability, expectations, conditional probabilities, distributions, confidence intervals, bootstrapping, binomial proportions, etc.
• Canonical examples of linear models.
•  Matrix algebra of linear regression models.

There are 4 courses in this program. They will give learners a firm foundation in the linear algebraic treatment of regression modeling, and greatly augment applied data scientists' general understanding of regression models.

That's all about the Best Johns Hopkins certifications and courses to learn Data Science in 2023. JHU has both courses on learning Data Science with Python and R programming language, and you can choose the ones which meet your need. Johns Hopkins is a reputed university not just in the United States but also in the world, and they have some really good professors and educators when it comes to learning in-demand skills like Data Science.

Many people try hard to get into JHU, but thankfully you don't need to travel to the USA to learn from the best of the best; you can join these courses and specializations in Coursera to learn online from your home or office. Coursera has made online learning easier by providing top university course material and instructors access. 

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Thanks for reading this article so far. If you like these best Data Science programs and courses on Coursera from Johns Hopkins University, please share them with your friends and colleagues. If you have any questions or feedback then, please drop a note.

P. S. - If you like Udemy courses, you can also check out The Data Science Course 2023: Complete Data Science Bootcamp course by 365 Careers on Udemy. This is one of the best courses to learn Data Science on Udemy, and you can get it for just $10 on Udemy sales, which happens every now and then.