Coursera Specialization Review - Data Science Specialization by Johns Hopkins University

Hello guys, if you are thinking to join Data Science Specialization by John Hopkins University on Coursera but thinking whether it's worth your time and money or not then you have come to the right place. Earlier, I have shared the best Coursera courses for Data ScienceCloud ComputingMachine Learning, Python Programming, and today, I will review one of the most popular Data Science specializations on Coursera, Data Science Specialization by John Hopkins University. While Coursera has many top-quality Data Science certifications, this is probably the most popular of them given its offered by the Johns Hopkins University of the USA. 

Nowadays data is the fuel of this age and companies are always developing tools that can extract insight from this data to make the right decisions and understand the market as well as the user's needs and learning how to use this data and take advantage is not a hard task to understand.

Many instructors have created online courses teaching you how to use data to get insight into what’s known as data science and I’ve been searching in many online platforms until I saw this Data Science Specialization at Coursera offered by John Hopkins University.

You will see in this article what you will learn in this data science specialization and the instructor's reputation and the people review so you can make the right decision taking this course or search for another one that fulfills your needs.

The good thing about this course is that its a specialization which means you will earn a Coursera certificate which you can add into your resume and LinkedIn profile to showcase that you have completed this specialization in Coursera and you have relevant Data Science skills. This will really boost your profile as recruiter search with keywords and prefer candidates with evidence like certifications. 





Review of  Data Science Specialization by Johns Hopkins University Certification

Now,let's start to find out whether Data Science Specialization by Johns Hopkins on Coursera is the right course to learn Data Science or not. We'll review the course on important parameters like Instructor, course content, and what other people who have already taken this course think about this specialization. 

1. The Instructors Reputation

The course is created by three instructors and let’s start with Jeff Leek who is an assistant professor at John Hopkins University in biostatistics specialization and has a Ph.D. in this field.

Another instructor called Roger D. Peng and also has a Ph.D. in statistics from the California university and works as a professor in the John Hopkins University as well.

The last instructor his name Brian Caffo and he is as well a professor at John Hopkins University and a Ph.D. holder from the University of Florida is the biostatistics specialization. 


2. The Specialization Content

This data science specialization focuses mainly on using the R programming language to do analyze and visualize the data as well as creating machine learning models. So let’s start exploring the content of this course: 


2.1. The Data Scientist’s Toolbox

Since you are new to the data science field you will get an introduction to this industry as well as some tools and platforms that will help you master data science.

 

2.2. R Programming

The second one focuses on programming using the R Programming language since it is the main one to do analysis and visualization in this course as well as installing the environment and packages for statistical programming.  Btw, if you want to master R language, you can also check out my list of best R programming courses which include the best courses from Udemy, Pluralsight, and Coursera to learn R programming. 


2.3. Getting and Cleaning Data

Before you can do your job as a data scientist you need first to obtain and collect the data so this course will introduce you to the various ways on how to get data from databases as well as the web and more. 


2.4. Exploratory Data Analysis

After you collect the data you need now to process it and visualize it and this is all about in this course so you will learn the statistical and visualization packages available in R language.

 

2.5. Reproducible Research

This course is focusing on reporting and get an insight into your data after the visualization and analysis process and some other stuff to make the analysis process more effective and productive.

2.6. Statistical Inference

This course will introduce you to statistics and inference statistics which is the process of drawing the conclusion of a population as well as some theories such as Bayesian and likelihood.

2.7. Regression Models

This course is toward statistical analysis as well as regression models such as linear and regression models so it as an introduction to machine learning and regression analysis. 


2.8. Practical Machine Learning

Here where it comes to the fun part where you will apply machine learning algorithms to your data as well as prediction functions and some ML concepts such as training overfitting and more. 


2.9. Developing Data Products

This course is all about creating data products using the R language as well as some packages such as shiny and leaflets and you will learn some visualization using the Plotly library. 


2.10. Data Science Capstone

In the last course, you will do a capstone project where you will develop a data product using what you have learned in the past courses as well as analyze your data and make predictions, and more. 


3. The People Review

The specialization gets 4.5 stars out of 5 from around 78k who submitted their rating which seems pretty good and means the content itself is also good as well as the videos and quizzes.

It also has more than 350k enrollment and forgets to mention that the course is available in many languages such as Chines and Arabic as well as Spanish Russian and more and the statistics show that 43% of the learners has started a new career in data science and around 19% has got promotion after completing this specialization. 

And, here is the link to join this course - Data Science Specialization by Johns Hopkins

Coursera Specialization Review - Data Science Specialization by Johns Hopkins University


That's all about the Data Science Specialization by Johns Hopkins University. Data science nowadays is a hight in-demand industry which becomes almost mandatory for any company to hire an employee that can take advantage of their data for making the right decision as well as improving their services and competing others in the market.

Other Coursera and Programming Articles you may like
Thanks for reading this article. If you like this review of Data Science Specialization by Johns Hopkins University on Coursera then please share it with your friends and colleagues. If you have any questions or feedback then please drop a note.

P. S. - And, If you are looking for the best Udemy online courses to learn Data Science with Python on then you can also check out The Data Science Courser 2020: Complete Data Science Bootcamp by 365 Careers and his teamThey have the best data science online courses on Udemy. 

No comments:

Post a Comment