Data Science and Machine Learning Bootcamp with R (Udemy.com)
Learn how to use the R programming language for data science and machine learning and data visualization!
Created by: Jose Portilla
Last updated December 2020
What you will learn
- Program in R
- Use R for Data Analysis
- Create Data Visualizations
- Use R to handle csv,excel,SQL files or web scraping
- Use R to manipulate data easily
- Use R for Machine Learning Algorithms
- Use R for Data Science
Course Description
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! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems!
This course is designed for both complete beginners with no programming experience or experienced developers looking to make the jump to Data Science!
This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! With over 100 HD video lectures and detailed code notebooks for every lecture this is one of the most comprehensive course for data science and machine learning on Udemy!
We'll teach you how to program with R, how to create amazing data visualizations, and how to use Machine Learning with R! Here a just a few of the topics we will be learning:
- 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 Vectore Machines
- and much, much more!
Enroll in the course and become a data scientist today!
Instructor Details
- 4.5 Rating
17,851 Reviews
Jose Portilla
Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science, Machine Learning and Python Programming. He has publications and patents in various fields such as microfluidics, materials science, and data science. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming, the ability to analyze data, and the skills needed to present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Training and provides in-person data science and python programming training courses to employees working at top companies, including General Electric, Cigna, SalesForce, Starbucks, McKinsey and many more. Feel free to check out the website link to find out more information about training offerings.
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Reviews
By Markus Riskumäki on 3/10/2026
Very clear instructions, and a hands on experience that, I think, actually made me learn the topics quicker than a equivalent course in my university. Only thing I wish there were more course-material about was the natural language processing section. But, all in all a huge recommendation!
By Sara N on 4/6/2020
Great course and well explained and instructed! Jose is a very good instructor. I bought this course for my internship project. I didn't have any knowledge about data analysis with R. This course helped me understand what machine learning is in a very well resourced and explained manner! The instructor, very responsive to questions, and doesn't talk too much ( which I liked) always to the point! Bought python course with him too! I wish if he would have a Java course! Highly recommended.
By Kush Jani on 8/24/2019
Prof. Jose Portilla 's teaching method is fabulous , no suggestion for sir , but in course exercises many topics are not coverd during lectures , so please try to cover all topic and logics in lectures that's why student can be confident while solving exercises.
By Konstantin Kirillov on 2/21/2019
Pretty rudimentary stuff, guess I expected a little bit more effort. Plus, why not try and explain the statistics behind Machine Learning, instead of referring us to a book that we've already read?
By Ben Lu on 12/4/2018
Absolutely fantastic course, started with no programming experience at all and just some basic econometrics knowledge. Massively insightful and already applying bits to my current job! Also the value for money that you get with this course is just ridiculous, especially when compared to £9k tuition fees lol
By Anonymized User on 11/3/2018
Really good course for beginners, especially the introduction to R. It's a good course to understand basics of ML, but would need good investment from oneself to understand the concepts and mathematics behind as focus is more on actual running of the algorithms.
By Lawrence Li on 10/25/2018
Broken down into bite size chunks and explained concepts really well even for complete novice like myself. I realised there are different ways to perform some of the tasks but a little consistency would be helpful for new learners. Perhaps expansion of the different methods in the notes would be helpful.
By Lim Hsien Yong on 3/15/2018
The course really caters to people who do not know anything about programming and helps seasoned programmers navigate through syntax differences very well! Would highly recommend it to anybody looking to pick up R but is intimidated by the prospect of programming!
By Nitin Sharma on 11/5/2017
Really good course to build up expertise in R. Machine learning explanation is less but adequate. Points you in the right direction if you want to explore mathematics behind the concepts. 4.5 stars for an excellent course in R and an introduction to ML concepts.
By Nikhil Sawal on 8/5/2017
its an amazing course for beginners!! got clear idea about the use of basic data structures, helped a lot with dplyr and ggplot2 which I use quite a lot these days. I would highly recommend this course to any newbie as it gets almost all practical applications related concepts clear and walks you through the thinking process needed for a machine learning project. Thank you so much Jose
Quality Score
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Overall Score : 90 / 100









