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LifestyleR Programming Language (Udemy.com)
R Programming Language for Statistical Computing and Graphical Representation
Created by: DATAhill Solutions Srinivas Reddy
Last updated March 2019
What you will learn
- R Programming Language for Statistical Computing and Graphical Representation
How it compares
Against the other 461 rated Udemy courses in Data Science on CourseDuck:
- Rating4.1 out of 5higher than 3% of them
- Reviews125#398 of 462 by number of reviews
- Length68.9 hourslonger than 98% of them
- Last updatedMarch 2019earlier than 94% of them
Course Description
This course is designed for software programmers, statisticians and data miners who are looking forward for developing statistical software using R programming. If you are trying to understand the R programming language as a beginner, this tutorial will give you enough understanding on almost all the concepts of the language from where you can take yourself to higher levels of expertise.
Before proceeding with this course, you should have a basic understanding of Computer Programming terminologies. A basic understanding of any of the programming languages will help you in understanding the R programming concepts and move fast on the learning track.
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Instructor Details
- 4.1 Rating
125 Reviews
DATAhill Solutions Srinivas Reddy
Having 10+ Years of Experience in Software Industry which includes Development, Support & Training.
My Experience Includes Managing, Processing, Predicting and Analyzing of Large volume of Business Data.
Expertise in Data Management, BI Technologies & Data Science with Data Analytics, Machine Learning, Deep Learning & Artificial Intelligence using R Programming, Python Programming, WEKA and EXCEL.
Having publications and patents in various fields such as machine learning, data security, and data science technologies.
I received my Masters of Technology in Computer Science & Engineering from JNTU.
Professionally, I am a Data Science management consultant with over 8 years of experience in finance, retail, transport and other industries.
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Data Science, Machine Learning, Data Analysis, Python & R (2020)
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Time: 8.1h
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Master statistics & machine learning: intuition, math, code (2026)
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- Time: 38.3h
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Reviews
By Piu Bhowmik on 5/14/2026
yes its a good match and worth trying.
By Jacobjaison on 4/11/2025
Its a good plateform to do all the couchings in lesser price
By Maihul Pratap Singh on 6/15/2024
I was satisfied with the teaching but the quality and understanding the accent was difficult for me.
By Jennifer B on 7/4/2023
yes it was a good learning platform
By Gustavo Pretto on 7/28/2020
Muito bom, curso completo
By Meher Geeth on 6/7/2020
It was good but the voice clarity was a little down but overall just what I expected it was good and can be better.Of course it will be more clearer when using the environment
By Sanskar Ranglani on 3/20/2020
Too much historical information that was not required.
By Raja Sidhartha Ratna Mishra on 1/14/2020
Value for money course. Almost all parts are covered starting from data structures, visualisation, core concepts and various mathematical algorithms
By Agha Wali on 11/20/2023
By Mote kranthi kumar on 1/28/2020
Quality Score
No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.
Overall Score : 82 / 100
- Video Duration:
68.9h - Price: $10.99
- Provider: Udemy
- Updated:
March 2019 - Level:
All Levels - Language:
English - Certificate:
Yes
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