Introduction
For this article, I will focus on the top Data Science courses on Udemy, decided by Udemy [2]. In the past, I have looked into Kaggle, another prominent platform that shared knowledge on all things Data Science. I wanted to branch out and include courses on a platform where nearly 4 million students are learning Data Science. The top courses are also known as the most popular on Udemy; there are also the highest-rated and newest. I wanted to first talk about other platforms that were free, so I do have an article on those topics, which I will include at the end of this article. For now, these Udemy courses all cost around $100. I will outline the main features of each of the top five data science courses on Udemy below.
Included in each course section in this article will be what is included, some useful facts about the course, and what is unique about the course — what separates them from the other respective courses on Udemy.
Udemy
As mentioned earlier, nearly 4 million students are on Udemy for just Data Science alone, so you can validate that these course information, reviews, and benefits are up to a high standard. I wanted to attest that the knowledge in these courses is something worthy of your investment, as I am a Senior Data Scientist who has primarily learned online from courses like these.
I would like to include more courses from other platforms, but for this article, the focus will be on Udemy. Feel free to comment down below any platforms or websites you would like to see me write about.
Machine Learning A-Z™: Hands-On Python & R In Data Science
Our top course includes all things Machine Learning with not only Python programming language practice, but R as well. There are 10 main parts included in this course, all including very valuable key concepts of Data Science. At this moment, the course has a 4.5-star rating out of 5 stars with nearly 130,000 ratings, costing $104.99 [3].
Machine Learning A-Z (Python & R in Data Science Course)
What is included?
You can expect to learn a myriad of skills and concepts like:
- Python and R
- Accurate predictions
- Robust Machine Learning models
- Dimensionality Reduction
- Intuition
- Powerful analysis
- Added value for your business
- Reinforcement learning, NLP, and Deep Learning
- Knowing which Machine Learning model is for each problem
Some other important stats to know are that there are:
45 sections
323 lectures
44h 30m total length
To set these popular courses apart, I will also be outlining unique features about the courses, as most of them are all-inclusive in Data Science.
What is unique?
- Apriori associate rule learning — in both Python and R
- Eclat associate rule learning — in both Python and R
It is recommended that you have some basic mathematics knowledge at the high school level. Most people who use this course are interested in Machine Learning, who are not as comfortable with coding, and want to start a career in Data Science. You can, of course, also utilize this course to brush up and improve upon your current kills, as well as making your resume more competitive.
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