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Quality Score

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Overall Score : 94 / 100

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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!Who this course is for:
  • Anyone interested in becoming a Data Scientist

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Instructor Details

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 and programming. He has publications and patents in various fields such as microfluidics, materials science, and data science technologies. 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, as well as present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Data Inc. and provides in-person data science and python programming training courses to employees working at top companies, including General Electric, Cigna, The New York Times, Credit Suisse, and many more. Feel free to contact him on LinkedIn for more information on in-person training sessions or group training sessions in Las Vegas, NV.

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Reviews

4.7

100 total reviews

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By Greg Laney on 2 weeks ago

This course has so much great information and Jose does a great job walking you through it all. As a non-computer science person that likes, but is not an expert in, technology and statistical analysis, this course spoke at a level that I could easily understand. The videos were easy to follow and I was able to replicate the test case results. By the end, I really felt I was understanding R programming intracacies.

By Somnath Bera on a month ago

This course starts from basics, explains with examples and helped me understand how R works and various packages.

By Stanislaw Izmajlowicz on 2 months ago

R has grown so much since I was introduced to it. This course has show me how to use new features with real world data. I enjoyed learning the new techniques.

By Duncan Burgess on 3 months ago

Thank you. I totally enjoyed the whole course and it has definitely enhanced my knowledge of the subject.Great content and examples and so many tips to make working as a data scientist a lot simpler. I would recommend this course to anyone embarking the path of Machine Learning using R or just want to enhance their existing skills.

By Denise Adele Chua on 3 months ago

Thought the lectures on machine learning could be elaborated a lot more, especially with the use of specific arguments

By Parag Bhabal on a month ago

The course is good however it does not teach you much about Data Science.The teacher repeatedly says to refer or readthe Wikipedia pages or the book on Statistical learning that he refers at the top of the course.the pre-requisites for the course mentioned is basic maths, but you also need to know the theory of data science/ML.For example : you would learn how to find the Linear regression on a data set using R. But you would not learn Linear regression in detail .The basics of R topics are very well covered .The plotting in R topics are covered okay too.The ML topics are not covered in detail . One would learn only how to apply the formulas in R but to interpret the results or sometimes even to understand the formulas you are expected to read the reference material or Wikipedia pages.The examples used during the course are good.

By Jay Shah on 4 weeks ago

This is my first R course for Data Science, and I have learned a lot from this course.

By Ruchir Dwivedi on 2 months ago

The course is very informative. I like the way in which the instructor/professor/teacher is teaching. Thank you for including such an experience personnel for teaching this course.

By Mabin Sainju on 4 months ago

I really enjoyed learning about data science with Jose. His explanations were concise and clear. His projects on the different topics helped me a lot as well.

The teaching methodology is great. After learning the basics of programming in R, you are introduced to different models and machine learning techniques. Each one of these topics have their own example and then its own project homework, so you get the opportunity to apply everything you previously learned.

By Neil Yazma on 3 months ago

I appreciate the Machine Learning part of the course, but I wish the course focused more on data manipulation. Data in the real world is very messy and I think it would have been beneficial to learn more techniques to cleaning.

By Navin kumar on 4 months ago

This a complete course for anybody looking up for R, it will be good to go slow and practice more and more coding , Either go slow or you must have little bit prior knowledge of R ,that will help you a lot .In the end the course totally worth to take