Before discussing the best Udemy courses on data science, let’s not forget that Data Scientist is one of the best-suited professions to thrive this century.
These top 9 Udemy courses on Data Science will not give you all the skillsets at once but will gently ease you into the complex world of data science.
1. Data Science A-Z: Real-Life Data Science Exercises Included
Length: 21 hours
Total students: 100.000+
Includes: 3 articles
Created by: Kirill Eremenko
In this Udemy course, you will experience firsthand all of the pain a data scientist goes through on a daily basis. It will give you a full overview of the journey.
Upon completing this highly rated data science course, you will be able to:
- clean and prepare your data for analysis,
- perform basic visualization of your data,
- model your data,
- curve-fit your data,
- and finally, present your findings and wow the audience.
You will also develop a good understanding of tools like SQL, SSIS, Tableau, and Gretl. This course has pre-planned pathways. Using these pathways you can navigate the course and combine sections into your own journey that will get you the skills that you need.
Definitely a very comprehensive approach, it includes all of the foundational knowledge and topics that I saw other courses offer, but with substantial learning outcomes from excercises and a very.. very structured yet flexible flow of execution.
Reuel Victor
2. Machine Learning A-Z™: Hands-On Python & R In Data Science
Length: 41 hours
Total students: 404.000+
Includes: 27 articles, 3 downloadable resources
Created by: Kirill Eremenko, Hadelin de Ponteves
This is one of the most popular courses on Udemy and by far, the best data science course.
It is designed by professional data scientists to help you learn complex theory, algorithms, and coding libraries in a simple way. Together they will walk you step-by-step into the World of Machine Learning. With every tutorial, not only will you develop new skills but also improve your understanding of this challenging yet lucrative sub-field of Data Science.
Moreover, the course is packed with practical exercises which are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models. As a bonus, this course includes both Python and R code templates. You can download these and use on your own projects in the future.
For more information, take a look at this course review.
Amazing Course! Highly recommended if you want to get some hands on experience of Implementing Machine Learning algorithms with proper understanding. The intuition videos provide a good framework to understand the coding tutorials that follow each concept. Overall the course is very well structured covering a large portion of ML universe. Thank you so much for the amazing instructors!
Akshay Dangare
3. Python for Data Science and Machine Learning Bootcamp
Length: 22.5 hours
Total students: 188.000+
Includes: 10 articles, 3 downloadable resources
Created by: Jose Portilla
Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120.000 in the United States according to Indeed. So, Data Scientist is a rewarding career that allows you to solve some of the world’s most interesting problems.
This comprehensive course from Udemy will not only be your guide to learning how to use the power of Python to analyze data but also to create beautiful visualizations, and use powerful machine learning algorithms. It is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science.
You can check out our course review to see if you’re a good fit for this online class.
Overall, I felt this course was an excellent introduction to Data Science, particularly for Python coders. I especially enjoyed the lessons on Data Visualizations. The lessons are concise and the exercises are practical. Each succeeding lesson builds on and reinforces what you have already learned. The sections on Big Data and Deep Learning may have room for growth, but I’m happy for the lead-in to these topics, nonetheless.
Kenny Batallones
4. Machine Learning, Data Science and Deep Learning with Python
Length: 12 hours
Total students: 89.000+
Includes: 5 articles
Created by: Sundog Education by Frank Kane, Frank Kane
If you want to know how companies like Google, Amazon, and even Udemy extract meaning and insights from massive data sets, this data science course will give you the fundamentals you need.
As mentioned above, data scientists enjoy one of the top-paying jobs, with an average salary of $120,000 according to Glassdoor and Indeed. That’s just the average. And it’s not just about money. It’s interesting work, too.
If you’re new to Python, the course will come across as a fresh start. If you’ve already got some programming or scripting experience, this course will teach you the techniques used by real data scientists and machine learning practitioners in the tech industry.
I really liked the high-level overview. The material presented was “really a lot”, and I feel it just touched the surface. I think that this course can be easily broken down to more detailed couple of courses with more exercises like the “Final Project”. Frank, well-done; I hope that one day I will have the privilege of shaking hands with you.
Ramy Taraboulsi
5. Tableau 10 A-Z: Hands-On Tableau Training For Data Science!
Length: 7.5 hours
Total students: 82.000+
Includes: 2 articles
Created by: Kirill Eremenko, SuperDataScience Team
Learning data visualization through Tableau 10 creates opportunities for you or key decision-makers to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks.
This data science course on Udemy begins with Tableau basics. You will navigate the software, connect it to a data file, and export a worksheet, so even beginners will feel completely at ease. Each section provides a new data set and exercises that will challenge you so you can learn by immediately applying what you’re learning.
By the time you complete this course, you’ll be a highly proficient Tableau user. You will be using your skills as a data scientist to extract knowledge from data so you can analyze and visualize complex questions with ease.
I am finding the course to be a very good means of learning how to use Tableau. I have no prior experience with Tableau and I have been able to follow along very well so far. I am beginning to get a clearer view of the application in real life scenarios. It is definitely one I will revisit several times to master the fundamentals. Thank you Kirill!
Olusoga Okusami
6. R Programming A-Z™: R For Data Science With Real Exercises!
Length: 10.5 hours
Total students: 87.000+
Includes: 2 articles
Created by: Kirill Eremenko, SuperDataScience Team
If you have decided to learn R as your data science programming language, you have made an excellent decision. R is the most widely used tool for statistical programming. It is powerful, versatile and easy to use. As a matter of fact, it is the first choice for thousands of data analysts working in both companies and academia.
This Udemy course will help you master the basics of R in a short time, as a first step to become a skilled R data scientist. After every video, you’ll learn a new valuable concept that you can apply right away. The best part is that you’ll learn through live examples.
This training is packed with real-life analytical challenges which you will learn to solve. Some of these you will solve together with the instructors, some you will have as homework exercises.
I’ve tried several websites before to learn new programming languages and to be honest I’m already half way through the course, within days, for two main reasons: 1) The course is very interactive and expects you to code as you go. I found this to be the best way to learn. 2) The contents of the course are super fun which probably explains why I went through the course this quickly. I will definitely be doing more udemy courses based on this geat experience so far!
Khaled Khaled
7. The Data Science Course 2019: Complete Data Science Bootcamp
Length: 23.5 hours
Total students: 64.000+
Includes: 70 articles, 125 downloadable resources
Created by: 365 Careers, 365 Careers Team
Data science is a multidisciplinary field. It encompasses a wide range of topics, each of which builds on the previous ones. As a result, you’ll risk getting lost along the way if you don’t acquire these skills in the right order.
In an effort to create the most effective, time-efficient, and structured training available online, The Data Science Course 2019: Complete Data Science Bootcamp has been created.
Having all the necessary resources in one place, this is believed to be the first training program that solves the biggest challenge when entering the field. As a result, it’s deemed to be one of the best data science courses offered on Udemy.
This was a very good course. What stood out to me was both the the huge amount of information in the course and the number of exercises in the form of quizzes and homework assignments. This allows a person to take the theory from lectures and apply it to further cement their knowledge. I would highly recommend this course as it also includes a section on statistics which is highly beneficial and relevant to data science.
Ian Smith
8. Python A-Z™: Python For Data Science With Real Exercises!
Length: 11 hours
Total students: 43.000+
Includes: 2 articles
Created by: Kirill Eremenko, SuperDataScience Team
This course follows a step-by-step approach. Every new tutorial builds on what is already learned and moves one extra step forward. After every video, you learn a new valuable concept through live examples that you can apply right away.
This training is packed with real-life analytical challenges which you will learn to solve. Some of these you will solve together, some you will have as homework exercises. If any doubts are raised, the teaching associates are prompt to respond with satisfying solutions.
The Q/A section is quite informative. I got to learn other student’s perspective to approach problems and unique difficulties faced by many.
The instructor have a really good way to explain everything and if you want to learn from scratch, you can go ahead with this course. Update after 50%: Kirrill is knowledgeable instructor and knows ways to make stuff easy to understand.
HIMANSHU SHEKHAR
9. Data Science and Machine Learning Bootcamp with R
Length: 17.5 hours
Total students: 39.000+
Includes: 8 articles, 3 downloadable resources
Created by: Jose Portilla
This course is designed for both complete beginners with no programming experience or experienced developers looking to make the jump to Data Science.
It’ll teach you how to program with R, how to create amazing data visualizations, and how to use Machine Learning with R. Here are a few of the topics will be covered:
- Programming with R
- Advanced R Features
- Using R Data Frames to solve complex tasks
- Use R to handle Excel Files
- Web scraping with R
- Connect R to SQL
- Use ggplot2 for data visualizations
- Use Plotly for interactive visualizations
- Machine Learning with R, including:
- Linear Regression
- K Nearest Neighbors
- K Means Clustering
- Decision Trees
- Random Forests
- Data Mining Twitter
- Neural Nets and Deep Learning
- Support Vector Machines
This course is great becease it puts you in more challenging situation which are, from the other side, feasible and it gives you sense of learning. A lot of very useful materials, good foundations, good for systematising basic concepts. Very good exercises, challenging but well adjusted that you will not lose self-confidence. It gives you good basis for further learning and very good literature to master machine learning.
Vitomir Jovanović
It’s Never Too Late to Learn
Data Science has gone from a newly acknowledged term in 2007 to one of the most sought-after disciplines in the professional world. The benefits of data science appear in every aspect of our life. Yet, we’ve grown so used to those advantages that we pay little or no attention to them.
- Google uses it to deliver more personalized search results while Facebook is collecting your information and mining it for advertisers with every message, Like, and share.
- Even Amazon uses it to make online shopping a little bit more personalized.
It comes as no surprise that the demand for data scientists has been surging. However, the supply has been very limited as it is difficult to acquire the necessary skills to be a data scientist. From appreciating data visualization to understanding machine learning, there’s a lot to cover.
So, if you are thinking about becoming a data scientist, now would be a good time to start.
These 8 best data science courses on Udemy will give you a solid background in data science fundamentals before you decide to move a step closer to big data processing tools.
Have fun with Data Science!