Data Science and Machine Learning Curriculum Bootcamp with R
Original price was: $84.99.$14.99Current price is: $14.99.
What you’ll learn
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Program in R
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Use R for Data Analysis
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Create Data Visualizations
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Use R to handle csv,excel,SQL files or web scraping
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Use R to manipulate data easily
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Use R for Machine Learning Algorithms
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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
12 reviews for Data Science and Machine Learning Curriculum Bootcamp with R
Add a review
Original price was: $84.99.$14.99Current price is: $14.99.
Adam Jennings –
Great course and great instructor. Thorough without getting bogged down. I enjoyed the reading assignments as they provided extra context for the course materials.
Angel Villarroya –
Good and fast learning course for begginers in R. Worth it if you have no knowledge of R.
Jiri Bordovsky –
Excelent! Namely the second part related to ML projects. Super useful exercises and tons of references for offline studying. Definitely, I got more than I expected.
James Wilson –
This is a brilliant course – very detailed, covers an incredibly large number of topics, and I would recommend this as a go-to course for learning R and Data Science.
Damien Odendaal –
After taking the SQL course by Jose, I really enjoyed Jose’s teaching style, and in this course I was certainly not let down. Efficient, effective, and clear, as I hoped.
Kunlei He –
The course is well-designed for beginners. The difficulty level of the exercises is also manageable. Recommended!
Jasper Lee –
clear explanation, covered from basic to advanced course!
Zhiling (Lynn) Zhou –
The best course I have enrolled since starting using Udemy! It is the third course I enrolled of Jose’s courses. Jose makes the complicated concepts clear and easier for students who have no CS background like me.
Jacob –
I wish there was more on transforming feature distributions to meet the assumptions of different stats … working with clean data is unrealistic and doesn’t prepare students for the real world.
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.
Agata Wozniak-Kwasniewska –
As usual classes made by Jose are excellent. He’s my first go to teacher on Udemy and I like a lot the way Jose explains everything. It’s clear, understandable for everyone and the classes cover everything what you need to kick off with your new projects.
Xander Crofts –
This course started out really strong, but I have to be honest and say I’m left feeling unsatisfied.
I really don’t like the teaching approach of “here’s some of the puzzle, now try putting the rest of it together on your own”. I’m all for being challenged, but being expected to come up with functions and stuff I haven’t seen before only serves to frustrate and discourage me.
I understand Jose is encouraging us to be self-sufficient in researching documentation and whatnot but I didn’t pay for a course to be pointed to free online resources. I paid for a course to have my hand held walking me through the data analysis process step by step – ideally sidestepping the endless rabbit hole of R syntax that may or may not be useful someday. Give me the substance. You’ve worked in the field. Show me what I NEED to know – not all the stuff there is to know. I can pick up the tidbits here & there later on. Just give me what I need to put together a real world analysis project. Walk me through it first, and then give me a similar one to try on my own using the same tools you just taught me. Don’t leave me guessing…?
Forgive me for the irritation in my tone. It’s just frustrating that I still haven’t been able to find a course like that. Maybe it’s my fault for purchasing a bootcamp instead of something more focused.
All in all, the course isn’t bad, and I appreciate Jose’s work (I learned SQL from him too). I just think the instruction approach could be really improved. Rather than being introduced to a few new tools and then asked to solve abstract problems using those and ones that weren’t discussed (to keep us guessing? I really don’t get the point of that), I would learn much faster & easier if the instructor were simply to cut the fat and be like “look, here’s our objective. Here’s a real world example of how it could play out. Here are the tools we need to tackle it. Here’s step 1, here’s step 2, here’s step 3. Done. Now you try.” – again and again and again.