Complete Data Science Course 2021 : R Data Science & ML
What you'll learn
- Learn to program in R at a good level and how to use R Studio
- Learn the core principles of R programming
- Learn how to create vectors in R
- Learn how to create variables
- Learn Data types in R
- Decision Making in R
- Learn how to build and use matrices in R
- Learn how to use Functions in R
- Learn to use Factors in R
- Learn to use Data Frames in R
- Learn how to install packages in R
- Learn how to use charts and Graphs in R
- Learn to read data from CSV files, Excel files
- Learn Data Analysis in R
- Learn how to use charts & graphs in R for data visualization
Requirements
- Basic Understanding of Computers
- Keen to learn R
Description
This course will provide the entire toolbox you need to become a data scientist and machine learning engineer.
Data scientist is one of the most in demand professions to thrive this century. Data Science and Machine learning is leading the digital space, it is programming-oriented, and analytical which helps businesses to get more useful information from the past data. Therefore, it comes as no surprise that the demand for ML engineers & Data Scientists has been surging in the job marketplace in last few years and it is going to be in demand in coming years as well.
R is one of the most popular and widely used tools for statistical programming.
It is a powerful, versatile, and easy to use tool for data analytics, and data visualization.
It is the first choice for thousands of data analysts working in both companies and academia.
This course will help you master R programming, as a first step to become a skilled R data scientist.
Got the R knowledge and not sure what to do with it?
This is your chance to finally get your hands dirty with the R and data science.
Each lecture will you give you the tools to achieve the following two goals:
Analyze your data using R.
Find the right visualization for your data using various R tools and packages taught in the course.
Draw some useful visualization and find some useful predictions based on the outcome.
It will take just a few lines of code to get you started.
For an added challenge, repeat the same analysis for your own data.
Share your progress for a chance to receive feedback and suggestions.
That way, this feedback can come not just from me but also from other students in the course.
Who this course is for:
- Beginner R developers curious about data science and machine learning
- Anyone who wants to master R
- Aspiring data scientists
- College Students
- Academic researchers
- Doctoral researchers
Instructors
- 3.6 Instructor Rating
- 1,261 Reviews
- 37,443 Students
- 4 Courses
Sunil is a developer, programmer, mentor and all round technology nut. With over 8 years of professional experience in the software development as Software Engineer and Technology Analyst, he understands what technology can do for us.
He loves building applications using Object Orientated languages & Aspect Orientated programming.
He has a special love for Data Analysis, Data Science and Analytics.
He runs technology website where he shares his technical expertise and experience.
Sunil is an Oracle Certified Professional, Java SE 6 Programmer and currently works as Technology Analyst at an IT company and he holds a Bachelor of Technology degree in Computer Science & Engineering.
- 3.5 Instructor Rating
- 43 Reviews
- 7,311 Students
- 1 Course
We are a team curious about Data.
We are a team curious about Data. We always think, sleepover, and work on Data.
We want to make everyone and every business to grow by thinking and analyzing their data.
We believe that in this age of the internet, the only key to success is knowing your Data better and better.
And, so the world needs more and more technical people knowing, understanding and working on the data to gain business insights. And, that's why we decided to share our knowledge by teaching Data Science, Analytics, AI, and Machine learning to everyone interested.
We are here to help you stay on the cutting edge of Data Science, Machine Learning, AI, and Technology.
See you in class,
Sincerely,
Team DataQrious Academy
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