Coursera Course Review - Applied Data Science with Python Specialization by University of Michigan

Hello guys, if you are thinking to join Data Science with Python Specialization 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 Science, and today, I will review one of the most popular Data Science specialization on Coursera. If you have been learning online then you may know that  Coursera is one of the giant platforms out there that offers courses in many different industries from web development and IoT to business and self-development and all those courses are created by the major universities such as Michigan University and some companies like IBM which means you are in good hands when enrolling in some of their courses.

The platform contains what’s known as a specialization which is a huge program that contains many small courses in a certain industry and some of these specializations get viral with hundreds of thousands of enrollment and big rating scores and Applied Data Science with Python Specialization is one of them.

In today's article, you will explore what is this specialization and where it is important to take it and who is the instructor of this massive program and does it worth to enroll and pay for this data science specialization.

Review of Applied Data Science with Python Specialization Coursera Course

Now, let's start to find out whether Data Science with Python Specialization by the University of Michigan on Coursera is the right course to learn Data Science with Python 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 reached by four instructors and let’s start with the first one named Christopher Brooks and he is an assistant professor at Michigan University and the second one his name Kevyn Collins an associate professor at the Michigan university as well.

The other two instructors also and assistant professors at the Michigan university Daniel Romero and his research in theoretical analysts related to social and information network and the other one Vinod Vydiswaran in natural language processing and data mining.

2. The Specialization Content

The specialization contains five courses focus on learning python then applied data science techniques using this programming language as well as some machine learning algorithms. So let’s start exploring what this course offers to learners:

2.1. Introduction to Data Science in Python

Since this course applies data science using python it makes sense to start first exploring this language and this course is all about learning the python fundamentals such as lambda function reading files and CSV data manipulation as well as some libraries such as NumPy for mathematical calculation and pandas for importing CSV files and reading data.

2.2. Applied Plotting, Charting & Data Representation in Python

After learning the fundamentals of python and how to process data its time to start making some visualization and take insight from your data and this course is all about and you will use libraries like matplotlib and seaborn to make plotting and charts and some terms on when you use the different kind of visualization graphs and more.

2.3. Applied Machine Learning in Python

This course is about machine learning and specifically supervised learning techniques using the Scikit-Learn library. you will start by the fundamentals of this technology using the Sckikit-Learn library and classification model then move to the supervised learning and some terms like logistic regression and support vector machine as well as evaluate your ML model and much more.

2.4. Applied Text Mining in Python

This course is for people who want to know how machines like Siri or Google assistants understand the human language and reply to them with the appropriate answer. You will learn the text mining and the basics of natural language processing and make use of the NLTK library for this purpose as well as text classification and topic modeling.

2.5. Applied Social Network Analysis in Python

This course will be about learning social network analysis using the NetworkX library. You’ll start by learning the different types o networks then analyze the connectivity of them based on many factors such as distance and reachability and also deep dive into measuring the importance of a node in a certain network and the network evolution.

3. People Review

The course has got more than 200k enrollment with a score rating 4.5 out of 5 which considered a great rating score and the course have great video productions as well as many quizzes to test your knowledge throughout the specialization and the language that used is python which is very friendly for people who never coded before.

If you more research on people review sites like Reddit or quora you will see most of the people recommend taking this specialization rather than much other class on the internet since it starts as a beginner to be advanced in data science.

And, here is the link to join this course - Applied Data Science with Python Specialization 

Coursera Course Review - Applied Data Science with Python Specialization

That's all about the Applied Data Science with Python Specialization on Coursera. Overall it's a g great online course and specialization to learn Data Science and become a Data Scientist. Data science is widespread nowadays and most big-name companies such as Google Netflix are taking advantage of this technology to analyze the user's behavior and interest so they can offer the most exciting experience for their clients as well as understand more about the market.

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Thanks for reading this article. If you like these best Coursera Courses for Data Science, Data Analysis, and Data Visualization 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. 

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