Is Coursera Data Science Specialization Worth It

We know that in that location are a lot of online platforms to learn data scientific discipline and other technology. Coursera is one of the elevation-notch online course platforms available online. In this commodity, I effort to list the all-time online courses available on Coursera for data science.

Information science is a very vast field, and in that location are a lot of niches in data science, such as machine learning, data analysis, etc. Coursera has courses specifically for each niche in information scientific discipline. Also, it has several courses on information science, both for beginners and advanced developers.

I spend some time reading reviews and watching YouTube videos about all the all-time courses that Coursera has on Data science. I also did some research on the Coursera platform itself to notice the best courses they have.

In this commodity, I want to share what I've found with you. If yous're looking for doing an online course on Information Science, I promise this article will exist helpful. Without any farther introduction, let's encounter what the best courses are.

1. Information Science Specialization from Johns Hopkins University

Specialization programs are one of the best programs offered by Coursera. They have specialization programs in Data Scientific discipline every bit well. Data Science Specialization by Johns Hopkins University is one of their all-time programs.

This grade is offered by the famous Johns Hopkins University, and you'll get a document from this University upon completing this program. This program is really a serial of several courses.

The specialization includes a easily-on project, in which you'll be able to put your knowledge into practise by creating a information product, using real-earth data.

This is a beginner-level course. The approximate timeline for completing this course is eleven months. It is a long-term course since it includes a lot of material and projects to complete.

Annotation that this course is using R equally the programming language, not Python. Even if you don't know the R language, don't worry. This course covers that as well.

You'll learn how to use the R linguistic communication and how to make clean, analyze, and visualize data with it. The course covers the entire data science pipeline from information acquisition to publication. Y'all'll as well learn how to use GitHub to manage your data science projects.

Class Name	Data Science Specialization
Instructor	Jeff Leek, Roger D. Peng, Brian Caffo
Rating	4.five/five (82,516+ ratings)
Duration	eleven months (considering 7 hours per calendar week)

This is a paid course. Only, it comes up with a 7-twenty-four hours consummate free trial. If you desire to try this grade, click here to view the syllabus and sign-upward for a costless trial.

If yous don't similar the course, you tin can abolish it in seven days without losing whatever money. If you take some time and money to invest in learning data science, this is a neat grade for y'all.

2. Introduction to Data Scientific discipline in Python from the University of Michigan

This is a keen introductory course to data science using Python programming language. This course will start with the Python fundamentals and so move on to techniques such as lambdas, reading and analyzing CSV files, etc.

The course will walk you through Numpy, which is a numerical library of Python. Then, it will leap on to pandas, which is a data science library that tin can be used for data assay. Past the end, yous'll be able to take a dataset, clean the data, analyze it, and find significant inferences from the analysis.

Intro to Data science course from Coursera

This is not a complete class on data science like the information science specialization. This course covers merely a portion of the information scientific discipline field. But, this can be a superb introduction for beginners.

Python and its data science libraries are very important in data scientific discipline. Subsequently completing this form, yous can move on to fields such every bit information visualization and machine learning.

Grade Name	Introduction to Data Scientific discipline in Python
Instructor	Christopher Brooks
Rating	iv.five (23,327+ ratings)
Duration	31 hours

This is a four-calendar week course. You'll get a certificate from the University of Michigan upon completing the course. You can see the syllabus and sign up for a free trial of 7-days.

This course is a part of the Applied Information Science with Python Specialization. This specialization is a complete package of courses roofing diverse topics in data science. If you desire to take the specialization, you can click here to check the details of this course.

3. Machine Learning Class from Stanford

The Machine Learning course by the instructor Andrew Ng has been i of the all-time machine learning courses on the Internet for a long time. Still, this is a great course for beginners who desire to learn machine learning.

The best thing is that this is a gratuitous course. You'll become all the content for complimentary. Y'all merely have to pay if yous want to get a completion certificate from Stanford. The approximate timeline for completing this grade is 54 hours.

By taking this class, yous'll be able to larn the theoretical concepts in machine learning as well as practical implementation. The course covers supervised learning, unsupervised learning, and best practices in machine learning.

Class Name	Machine Learning
Instructor	Andrew Ng
Rating	4.nine/five (155,446+ ratings)
Elapsing	threescore hours

This course is not based on Python. The programming assignments are done using Octave or MATLAB. If y'all want to learn machine learning, I would highly recommend this course to you. Click here to meet the syllabus and enroll for free.

4. Deep Learning Specialization from DeepLearning.ai

If yous want to learn deep learning and neural networks, the Deep Learning Specialization is a great course. Deep learning is a highly evolving technology, and there is a lot of scope in the future in various fields. Information technology is actually a package of 5 independent courses combined. This course is offered by deeplearning.ai.

You'll learn nearly neural networks, improving the deep neural networks, structuring machine learning projects, convolutional neural networks, sequence models, etc. You'll likewise get a chance to do practical learning projects where you lot tin implement deep neural networks and algorithms.

This is an intermediate-level class. Some related experience is required. If you have a bit of feel in machine learning, you lot can jump on to deep learning hands. This form will take approximately 4 months to consummate.

Course Proper name	Deep Learning Specialization
Instructor	Andrew Ng
Rating	4.8/5 (269,230+ ratings)
Elapsing	4 months (Bold five hours per calendar week)

This is a premium course, but they provide a seven-day free trial. If you want to have a look at this course, click here to come across the syllabus and sign up.

5. Mathematics for Machine Learning from Imperial College London

Mathematics is pretty important in information science and machine learning, peculiarly calculus, linear algebra, probability, and statistics. This grade will encompass every chip of mathematics you need to know to go a machine learning expert.

This specialization contains three courses covering linear algebra, multivariate calculus, and PCA. You'll be able to learn the mathematical concepts in machine learning and implement those concepts using existent-world data.

Mathematics for machine learning course from Coursera

Y'all'll also be doing an applied learning project. At the end of this course, yous'll have the mathematical skills that are needed for taking advanced courses in machine learning.

Form Proper noun	Mathematics for Machine Learning Specialization
Teacher	David Dye
Rating	iv.5/five (xv,627+ ratings)
Duration	4 months (Assuming iv hours per week)

This is a beginner-level course. No prior feel is required. Y'all might need to dedicate 4-hours to complete this course.

Click hither to see the syllabus and sign upwardly for the 7-twenty-four hour period free trial, if y'all're interested.

Concluding Thoughts

Coursera + Information Science is a great combination. The former is one of the tiptop education course platforms, whereas the latter is a promising engineering for the hereafter. That's why I've put upwards this commodity to innovate the best data science courses available on Coursera, according to my stance and research.

I hope this article was helpful for yous if y'all're looking to launch your career in data scientific discipline. Click the links given above and see the complete details nigh the courses before you decide to take i.

If you've already taken whatever of these courses, share your feedback in the comments below. That will assist other readers besides. Also, do mention if you have whatsoever other suggested courses autonomously from the ones that I've mentioned here.

Share this commodity if this was helpful. Happy learning!