Data Science and Machine Learning Curriculum Bootcamp with R
What you’ll 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
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!
Who this course is for:
 Anyone interested in becoming a Data Scientist
Heramb Modak –
Nice course, good trainer, gives you workable knowledge of R language. Nicely organized into Intro>Practical>Exercise. Would have been better if some topics were covered in little more depth e.g. NLP, tuning the models, cross validation etc.
Laura Heron –
Good course, pretty thorough with lots of walk through examples.
Sai Karthik Reddy Attunuru –
Wow, what a way of delivering the amazing content which is very useful for beginners and experienced people. Jose such a brilliant tutor. Gonna buy all his courses!!! btw thanks for the amazing content.
Ritesh Khamitkar –
Learned many great things , with the great Mentor !! Thank you so much Jose !!!
Obanla Olakunle James –
This course is powerfully parked with relevant contents and anchored by a seasoned expert. Jose is awesome. Many thanks for doing justice to the course.
Radwan Bakor –
I like the pace, the “sometime” contrast with python which I know somethings about, and the efficiency of teaching here. I will look up more of your courses! Not to mention the organization of the course resources. Great job!
Dariusz Rybczyński –
Bardzo dobry kurs, dający solidne podstawy do dalszego zgłębiania tematów, choć już samo opanowanie materiału pozwala prowadzić własne analizy. Polecam.
Devvrat Mungekar –
The best course for R for beginners to learn. The instructor starts from basic data types and structures, data visualization, analysis, all the way up to machine learning.
Bryan Bailey –
This course is concise and clear to understand even for newbies.
I also had prompt replies to my questions.
Highly recommended!
Michelle Williams –
The instruction is interesting, informative, and great to learn and practice. I like everything!
Soumyadeep Ghosh –
Great tutorial and amazing teaching skills
Antony Samarawickrema –
Really got me the essentials of using R, from the basics to slightly more intermediate functionality.