5 Best Data Science Courses, Certificates and Specialization

Course – 1: Machine Learning

This certificate course placed together by the founding principal of Google Brain, Andrew Ng, Machine learning is a chunk of our lives in methods we don’t even distinguish. It not only drives our cars and cutting-edge coffee machinery, but even our mobile devices, camera, and so on.

This course is offered by Stanford University through the online website Coursera

Specifically instructed by Andrew Ng (Professor and Founding Lead at Google Brain)

Pricing Model: FREE

Skills and Knowledge Taught:

1. Logistic Regression
2. Artificial Neural Network
3. Machine Learning (ML) Algorithms
4. Machine Learning

Difficulty Level: Beginners, Intermediate, Professionals, Advance

Average User Rating: 4.9 (156,495 ratings – Until 12^th March 2021)

Course – 2: Machine Learning Specialization

This course was composed of leading researchers at the University of Washington. It will lead you to the thrilling field of machine learning and take you to unconventional notions and ideas via case studies. By the end of this course, you will have extended experience in the foremost levels of machine learning, such as prediction, clustering, classification, and information retrieval.

This course is offered by the University of Washington through the online website Coursera

Specifically instructed by Emily Fox and Carlos Guestrin (Amazon Professors of Machine Learning)

Pricing Model: FREE

Skills and Knowledge Taught:

1. Data Clustering Algorithms
2. Machine Learning
3. Classification Algorithms
4. Decision Tree
5. Python Programming
6. Machine Learning Concepts
7. Deep Learning
8. Linear Regression
9. Ridge Regression
10. Lasso (Statistics)
11. Regression Analysis
12. Logistic Regression

Difficulty Level: Intermediate

Average User Rating: 4.7 (23,222 ratings – Until 12^th March 2021)

Course – 3: Advanced Machine Learning Specialization

This specialized course includes seven courses in whole and conveyed by top-notch professionals in the field of AI and data science. Over these courses, you will not only advance a detailed understanding of the ins and outs of data science and machine learning but will also get to relate erudite concepts for solving real-world complications, such as instinctive game playing, image captioning, etc.

This course is offered by the Higher School of Economics through the online website Coursera

Specifically instructed by Evgeny Sokolov and 20 more instructors

Pricing Model: FREE

Skills and Knowledge Taught:

1. Recurrent Neural Network
2. Tensor flow
3. Convolutional Neural Network
4. Deep Learning
5. Data Analysis
6. Feature Extraction
7. Feature Engineering
8. Xgboost
9. Bayesian Optimization
10. Gaussian Process
11. Markov Chain Monte Carlo (MCMC)
12. Variational Bayesian Methods

Difficulty Level: Radical/Advanced

Average User Rating: 4.4 (4,992 ratings – Until 12^th March 2021)

 

Course #4: What is Data Science?

This course is precisely what it sounds like…what is data science? Who are its innovators? Why it is essential nowadays? What would the up-to-date world look like deprived of it? What are the pros and cons of it? Which industries are making the most out of it and which aren’t, if any?

If you want to brace your elementary understanding of this field, this is a perfect course for you. It’s taught by some of the best data geniuses themselves. So, you can imagine having things prepared easier for you because they assuredly discern what it must have been like to get lost while learning about data science.

This course is offered by IBM through the online website Coursera

Specifically instructed by Alex Aklson (Ph.D., Data Scientist) and Polong Lin (Data Scientist)

Pricing Model: FREE

Skills and Knowledge Taught:

1. A basic understanding of data science
2. Importance of data science on today’s world
3. Applications of data science

Difficulty Level: Beginner

Average User Rating: 4.7 (44,182 ratings – Until 12^th March 2021)

Course – 5: Databases and SQL for Data Science with Python

This course focuses on SQL that is, its introductory core conceptions, their applications in the real world, so on and so forth. With the support of this course, you will be able to start executing with SQL language in no time (although after some preparation and practice, though).

The course stresses both theory and practical, side by side. Likewise, over a sequence of labs, you will run-through building and running SQL queries. And you will get to learn in what way to access databases from Jupyter notebooks using Python and SQL. Fortunately, no previous knowledge of said topics is compulsory.

This course is offered by IBM through the online website Coursera

Specifically instructed by Hima Vasudevan (Data Scientist) and Rav Ahuja (AI and Data Science Program Director)

Pricing Model: FREE

Skills and Knowledge Taught:

1. Cloud Databases
2. Python Programming
3. Ipython
4. Relational Database Management System (RDBMS)
5. SQL

Difficulty Level: Beginner

Average User Rating: 4.7 (12,879 ratings – Until 12^th March 2021)