Udmey has large educational video catalog that makes a better investment for learning new things.
You have the passion that is deeply hidden inside but doesn’t know how to start. Right?
Udemy Course is the great way to fulfill your passion. They have so much video courses that you are able to make your passion to come true. Look their catalog. You will shock to see that.
If you start finding out your courses then, it will take much time and find out the best courses for you.
But don’t worry I have done the job for you.
You will know the best and top 10 Udemy Courses for Data Science Learner
Disclosure: Speaking of affiliate links, this post is full of ’em.
What things Will You Learn?
Instructure : – Kirill Eremenko
Best Seller Proof: – 4.5 Star, 39,278 ratings ,241,323 students enrolled.
User Review:- “The course was well thought of and well articulated. It was a perfect pedestal for the next level of endeavors. The intuition explanation was short, sweet and enough to arouse interest in the topic and solidify basic understanding.”
What things Will You Learn?
Instructure : – Jose Portilla
Best Seller Proof: – 4.6 (19,052 ratings) ,115,131 students enrolled
User Review:- “Jose is excellent and I highly recommend this course. it covers a ton of data science and really sets you up for learning about AI. The theory lectures could go a little more in-depth however Jose’s explanations and code along sections are unparalleled.”
What things Will You Learn?
Instructure : – Frank Kane
Best Seller Proof: – 4.5 (8,147 ratings), 57,249 students enrolled
User Review :- “It’s really great course to start with Machine Learning Course. It touches all Types of Machine Learning. Classfication, Clustering and Deep Learning too.”
What things Will You Learn?
Instructure : – Kirill Eremenko, SuperDataScience Team
Best Seller Proof: – 4.6 (10,585 ratings) ,56,982 students enrolled.
User Review :- “Great course! I learned a lot very quickly. Excellent examples and very clear explanations. Really recommend it.”
What things Will You Learn?
Instructure: Kirill Eremenko, SuperDataScience Team
Best Seller Proof: – 4.7 (12,632 ratings) ,46,161 students enrolled
User Review:- “All of Kirill’s courses are awesome, and this one is no exception. I already knew how to use Python and R for data science, but this course got me very excited in Tableau! I would love to use Tableau for most data science visualizations from now on – possibly excepting machine learning visualizations since Tableau cannot train machine learning models AFAIK (although it can forecast). Now I’m a Super Data Scientist ! :D”
You will Learn
What things Will You Learn?
Instructure : – Kirill Eremenko, SuperDataScience Team
Best Seller Proof: – 4.6 (4,454 ratings) , 30,849 students enrolled
User Review :- “Good explanation of the concepts and examples, I love the way of learning programming.It would be good if more examples were given in each chapter for practicing purpose”
What things Will You Learn?
Instructure: Jose Portilla
Best Seller Proof: –4.5 (3,842 ratings) ,29,264 students enrolled
User Review:- “Great course on Tensorflow, well-explained sections on the framework, along with explaining which frameworks/solutions to use for a specific problem”
What things Will You Learn?
Instructure: Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team
Best Seller Proof: –4.4 (1,172 ratings) , 14,140 students enrolled
User Review:- “Great course on Tensorflow, well-explained sections on the framework, along with explaining which frameworks/solutions to use for a specific problem”
What things Will You Learn?
Instructure : – Kirill Eremenko, Ilya Eremenko, SuperDataScience Team
Best Seller Proof: – 4.4 (997 ratings) ,8,422 students enrolled
User Review :- “Very good, had some hiccups setting up the SQL server which required extra research, but overall the content is very useful and has real world applications.
What things Will You Learn?
Instructure : – Jose Portilla
Best Seller Proof: – 4.4 (275 ratings) , 2,767 students enrolled.
User Review :- “Excellent course! Many of the topics covered were asked, directly or indirectly, during the on-site interviews at Facebook. Strongly recommended!”