FTC disclaimer: This post contains affiliate links and I will be compensated if you make a purchase after clicking on my link.
Data science is an interesting field that deals with large structured and unstructured data to solve complex problems.
Popularly referred as the sexiest job title of 21st century, the demand for data scientist is increasing at an exponential level.
I have handpicked 12 best Udemy data sciences courses on different categories to help you start learning it right away.
The courses are considered best because students have loved these courses (ratings) and benefited from it (number of enrollments).
Note: All the Udemy courses mentioned below have inclusive features such as 30 days money back guarantee, lifetime access to the course material, a certificate on completion and you can access the course in both Android and iOS.
If you’re interested only in free courses please refer free Udemy courses and also read my Udemy review for more details about the company.
Best Udemy Data Science Course Review
Udemy Data Science – Bestselling Course
# Course 1
Course Name: Data Science A-Z: Real –Life Data Science Exercises Included
Author: Kirill Eremenko, SuperDataScience Team
Rating: 4.5+ from 10,828+ students
Currently Enrolled: 70,719+ students
Price Value: $200
About this Course:
If you are in the first step towards making your career in Data Science, this comprehensive data science udemy course from Kirill is all you need.
The course provides a complete overview of a complex data science project that a data science expert would go through.
You would understand how to clean irregular data for analysis, perform basic visualization of data, data modeling and know how tools like SQL, SSIS, Tableau and Gretl works.
What student’s are saying after taking this course?
The course ratings have been consistently good at 4.5 from huge 10k students and enrollments too are massive at 70k. Highly recommended!
Some of the feedback highlights: The course focuses on how to model one as opposed to why use it in a particular situation, Kirill has been fantastic and almost all doubts have been cleared by his team, from start to end all the concepts are useful and apply able to real world cases, etc.
Udemy Tableau 10 for Data Science
# Course 2
Course Name: Tableau 10 A-Z: Hands-On Tableau Training For Data Science!
Author: Kirill Eremenko, SuperDataScience Team
Rating: 4.7+ from 11,039+ students
Currently Enrolled: 41,642+ students
Price Value: $200
About this Course:
This is currently the most popular Udemy course to learn data visualization through Tableau 10.
You will learn the entire Tableau 10 features hands-on exercises to analyze and visualize data and understand customer purchase behavior, sales trends, and production bottlenecks of your company.
A highly recommended course if you are looking to learn Tableau from scratch.
What student’s are saying after taking this course?
Since it is the bestselling course, the ratings are phenomenal at 4.7 from huge 11k students and massive 41k enrollments already.
Course feedback highlights: This is a great introductory class to learn Tablaeu, I recommend this class to all of those who are trying to learn Tableau for the first time, the course was fun and now I know almost all the features of Tableau and can create my own visualization, etc.
Udemy Data Science Course – R Programming
# Course 3
Course Name: R Programming A-Z: R For Data Science With Real Exercises!
Author: Kirill Eremenko, SuperDataScience Team
Rating: 4.6+ from 9,617+ students
Currently Enrolled: 53,224+ students
Price Value: $200
About this Course:
This is an excellent udemy data science course if you want to program in R.
The course takes you through the core principles of R programming, how to create variables, loops and matrix function, how to customize and use R studio, how to create vectors and install packages in R, etc.
The course material is followed by real life analytical examples so that you practice working statistical data in R.
What student’s are saying after taking this course?
It is again a bestselling Data science course in the R programming category with ratings top notch at 4.6 from huge 9k students and massive 53k enrollments.
Some of the highlights from the feedback section: Great course for those who start learning R, the lessons are easy to follow and following along on examples and completing the homework are essential to integrating the material, etc.
Udemy Data Science Deep Learning In Python
# Course 4
Course Name: Data Science, Deep Learning, & Machine Learning with Python
Author: Sundog Education by Frank Kane, Frank Kane
Rating: 4.5+ from 7,696+ students
Currently Enrolled: 54,127+ students
Price Value: $160
About this Course:
The course gives you a practical overview of machine learning and data mining techniques using hands-on Python code examples.
The course could be a great transition for software programmers looking to wet their feet in Data Science.
There is a special section on Machine learning with Apache Spark and a final project to apply all the techniques you have learnt from the course.
What student’s are saying after taking this course?
This bestselling data science Udemy course has fabulous ratings of 4.5 from huge 7k students and enrollments massive at 54k. Highly recommended for the techies!
Course feedback highlights: It is a good course for people who knew little or nothing about data science, excellent real world examples that are easy to digest, good practical material, very good for novices and statistics and moderately ok at Python, etc.
Udemy Data Course – Python
# Course 5
Course Name: Python A-Z: Python For Data Science With Real Exercises!
Author: Kirill Eremenko, SuperDataScience Team
Rating: 4.6+ from 3,917+ students
Currently Enrolled: 28,722+ students
Price Value: $200
About this Course:
This is a great course from Kirill if you want to learn Python programming for Data Science and Data analytics.
The course teaches you core principles of Python programming, what are integer, float, logical and string with respective to Python, how to install packages in Python, how to code in Jupiter Notebooks, create variables and loop in Python and much more.
What student’s are saying after taking this course?
The course ratings are going good at 4.6 from 3000 plus students and a large 28000 plus enrollments.
Feedback Highlights: Learnt useful information and techniques in each video module, best Python course I have taken, easy to understand and comprehensive, well structured and easy to follow, the course is purely for beginners with decent exercises, etc.
Data Science Udemy – Tableau 10 Advance Training
# Course 6
Course Name: Tableau 10 Advanced Training: Master Tableau in Data Science
Author: Kirill Eremenko, SuperDataScience Team
Rating: 4.7+ from 2,581+ students
Currently Enrolled: 17,976+ students
Price Value: $200
About this Course:
If you are looking to master advanced Tableau in Data Science, this course fits in best.
Kirill teaches how to use groups and sets in Tableau, use of table calculations in data analysis, create animations in Tableau, how to perform data analytics and data mining in Tableau and much more.
What student’s are saying after taking this course?
Just like the other Kirill courses, the ratings have been awesome at 4.7 from a huge 2000+ students and a steady 17000+ enrollments.
From the feedback section: Excellent content and teaching skill, Kirill is such a great instructor, I have taken both the courses (beginner and advanced) and it’s more than enough to cover these courses to become an expert in tableau, etc.
Udemy Data Science Analyst – Power BI
# Course 7
Course Name: Power BI A-Z: Hands-On Power BI Training For Data Science!
Author: Kirill Eremenko, SuperDataScience Team
Rating: 4.5+ from 1,567+ students
Currently Enrolled: 8,183+ students
Price Value: $200
About this Course:
This is an awesome course from Kirill if you are looking to learn Power BI from Scratch.
You will know how to create compelling data visualizations and BI reports with Microsoft Power BI desktop.
The course is regularly updated as and when a new version of BI is released and you are provided with practice data sets and exercises to have hands on learning with power BI.
What student’s are saying after taking this course?
The ratings have been doing well at 4.5 from 1500+ students and enrollments at 8000+.
From the feedback section: Excellent course on Power Bi, loved every minute of it, Kirill is one of the best tutors when it comes to teaching Data Science, the instructor was well experienced and overall it was a insightful training on Power BI, etc.
Udemy Data Science and Machine Learning with Python
# Course 8
Course Name: Data Science: Deep Learning in Python
Author: Lazy Programmer Inc.
Rating: 4.6+ from 2,833+ ratings
Currently Enrolled: 23,893+ students
Price Value: $180
About this Course:
The course helps you understand how deep learning really works and get an in-depth knowledge on neural network theory.
Along with the author, you will be building your first artificial neural network using deep learning techniques.
Having a sound knowledge in logistic regression, linear regression and python coding is expected in order to understand this course content.
What student’s are saying after taking this course?
Apart from Kirill, Lazy programmer courses are always best in class and ratings and enrollment numbers do justice to the statement.
From the feedback section: The exercises and examples are interesting and practical, this course is a great first step into deep learning, this is a very honest course taught by somebody who clearly understands the subject in great depth, etc.
Udemy practical Data Science – Logistic Regression
# Course 9
Course Name: Deep Learning Prerequisites: Logistic Regression in Python
Author: Lazy Programmer Inc.
Rating: 4.6+ from 1,355+ students
Currently Enrolled: 13,702+ students
Price Value: $120
About this Course:
This is the best course at Udemy if you want to understand logistic regression in Python better.
Logistic regression is a fundamental technique used in machine learning and data science.
The course teaches you both the theory and practical aspects of logistic regression and how to use it to solve real world business problems.
What student’s are saying after taking this course?
Currently it is the bestselling deep learning course at Udemy, the ratings are good at 4.6 and enrollments steady at 13000 plus.
Highlights from the feedback section: definitely recommend this course to colleagues and friends who are interested in deep learning, the course design is in depth and to the point; the instructor explains the concepts easily and then shows how it’s done, etc.
Udemy Data Science: NLP in Python
# Course 10
Course Name: Data Science: Natural Language Processing (NLP) in Python
Author: Lazy Programmer Inc.
Rating: 4.4+ from 1,920+ students
Currently Enrolled: 11,282+ students
Price Value: $120
About this Course:
Make sure you have Python basics to understand the advanced machine learning feature natural language processing in Python.
You will build multiple practical systems such as spam detection, sentimental analysis, article spinners and semantic analysis throughout the course.
What student’s are saying after taking this course?
The ratings have been so far good at 4.2 from 1900+ students and an impressive 11000+ enrollments.
From the feedback section: Will definitely recommend everyone who is looking a simple head start of learning NLP in a simple and easy way, good and useful resources referred in the lecture, content is good and covers important areas of NLP, intuitive and creative choice of course topics, etc.
Udemy – Introduction to Data Science
# Course 11
Course Name: Want to be a Data Scientist?
Author: V2, Maestros, LLC
Rating: 4.2+ from 2,797+ ratings
Currently Enrolled: 32,391+ students
Price Value: Free
About this Course:
This is a great introductory course on helping you understand what Data Science is all about.
The course talks about the work of data scientist in general, the various roles and skills required, the challenges faced by data scientist, how a typical data science projects happens and much more.
What student’s are saying after taking this course?
The ratings are pretty okay at 4.2 from 2700+ students in spite of being a free course and enrollments numbers too good at 32000+
Some of the student’s feedback: Thinking of making a career transition into data science, then this is the course for you; obtained good knowledge about what is Data Scientist all about, one of the best short introductory courses for any future aspiring data scientist, etc.
Udemy Data Science Course – Free
# Course 12
Course Name: R Programming For Absolute Beginners
Author: Bogdan Anastasiei
Rating: 4.5+ from 663+ students
Currently Enrolled: 18,742+ students
Price Value: Free
About this Course:
Even though it is a free course, the course material is just perfect to start your R programming journey from scratch.
You will learn how to work with data structures namely vectors, matrices, lists, factors and data frames in R, working with strings, build charts, build functions and binary operations as a data analyst.
What student’s are saying after taking this course?
The ratings of this free Udemy Data Science course has been quite impressive at 4.5 from 600+ students and a decent 18000+ enrollments.
From the feedback section: It was great learning and exploring the new technology, the material certainly is useful and the explanations are quite clear, the lectures are clear and easy to understand, the course is systematic and technical, etc.
Note: All Udemy prices fluctuate throughout the year. It is recommended to always lookout for an Udemy discount to get these courses at a lesser price.
Happy Learning!
