Data Science and Machine Learning with R (Part #2) - Statistics with R

In this module of series on Data Science and Machine Learning with R, you will learn about data manipulation & statistics basics, merging, data creation, merge example, what is statistics, variables, quantiles, calculating variance, calculating covariance, cumulative frequency, statistics, probability & distribution etc

Full Star Full Star Full Star Full Star Half Star  10
  |   3478 Learners
  |   2 - 6 hours  6 Hrs
  |   30 Lectures
  |   Intermediate  Intermediate
Data Science and Machine Learning with R (Part #1) - Understanding R

In this module of series on Data Science and Machine Learning with R, you will learn installing r studio, basics of r & function, data types, recycling rule, special numerical values, parallel summary functions, logical conjunctions, pasting strings together, type coercion, array & matrix, factor, repository & packages, installing a package etc

Full Star Full Star Full Star Full Star Empty Star  5
  |   3449 Learners
  |   2 - 6 hours  6 Hrs
  |   33 Lectures
  |   Appropriate for all  All Levels
Learn Data Science Using R Programming

This is a online course is to gain comprehensive Practical understanding of R Programming. The aim is to learn essential concepts in R Programming right from scratch. The tutorials will help you learn about Introduction to R Programming, Datatypes and Basic Operations, Reading Data, Understanding Functions, Scoping Rules, Looping, Simulation & Plotting, Date ,Time & RegEx and Classes & Methods.

Full Star Full Star Full Star Half Star Empty Star  170
  |   18308 Learners
  |   6 - 12 hours  8 Hrs
  |   45 Lectures
  |   Appropriate for all  All Levels
R Studio Anova Techniques Course

This is a online course is to gain fundamental understanding of R-Studio Annova Techniques. The aim is to learn about data science driven hypothesis testing and subsequent decision making.. The tutorials will help you learn about One-way Anova, Ratings, Anova - Randomized Block Design, Anova and the Design of Experiments and Variable reduction technique(Factor Analysis).

Full Star Full Star Full Star Half Star Empty Star  58
  |   17906 Learners
  |   2 - 6 hours  3 Hrs
  |   18 Lectures
  |   Appropriate for all  All Levels
Hypothesis Testing using R

Learn hypotheses testing using R through well conceived lessons and fully solved numerous exercises step by step

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  |   11093 Learners
  |   2 - 6 hours  4 Hrs
  |   21 Lectures
  |    
Comprehensive Data Analytics Bundle

This wonderful online Bundle is about Data Analytics. Learn what it is along with the examples for the same. The course starts from scratch so that the participants understand all the important concepts.

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  |   12459 Learners
  |   12 hours +  29 Hrs
  |   158 Lectures
  |   Appropriate for all  All Levels
Certified Data Science Training using R, SAS and Excel

This amazing course on Certified Data Science Training using R, SAS and Excel is for all those who want to learn about various excel functions used for data analytics. We will alsoe learn about SAS and R programming concepts like SAS System Option, Creating Table and List Format and much more.

Full Star Full Star Full Star Full Star Empty Star  371
  |   11663 Learners
  |   12 hours +  33 Hrs
  |   178 Lectures
  |   Appropriate for all  All Levels
R Programming Comprehensive Bundle

Learn R Programming from Scratch. Learn how to do business analytics using R. Learn Business Analytics Using R, Data Science and Analytics with R and much more.

Full Star Full Star Full Star Full Star Empty Star  96
  |   12261 Learners
  |   12 hours +  29 Hrs
  |   159 Lectures
  |   Appropriate for all  All Levels
Business Analytics using R Programming - Learn Programming In R And R Studio with Real Exercises!

This is an online course on Business Analytics using R where you will be learning about business analytics life cycle, you will understand the function of R in business analytics, also you will learn about data manipulation, statistics basics, probability and distribution, examples, testing and forecasting, also you will understand about visualizations. These all concepts you will be learning through this course.

Full Star Full Star Full Star Full Star Empty Star  239
  |   13557 Learners
  |   12 hours +  21 Hrs
  |   114 Lectures
  |   Intermediate  Intermediate
R Programming A-Z (Part #1) - Datatypes and Basic Operations

This course on R Programming will highlight the function of datatypes and basic operators and also you will be learning the overview and history of R-programming.

Full Star Full Star Full Star Full Star Empty Star  46
  |   13714 Learners
  |   Upto 2 hours  2 Hrs
  |   9 Lectures
  |   Intermediate  Intermediate
R Programming A-Z (Part #2) - Reading Data, Functions and Scoping

Through this course you will learn about reading data, debugging, control structures, functions, scoping rules.

Full Star Full Star Full Star Full Star Empty Star  7
  |   3549 Learners
  |   Upto 2 hours  2 Hrs
  |   12 Lectures
  |   Intermediate  Intermediate
R Programming A-Z (Part #3) - Loop Functions and Simulation

This is an online course on Looping, Simulation and Plotting in R Programming. In this course you will be learning about the looping, simulation and plotting feature of R programming in detail in this course.

Full Star Full Star Full Star Full Star Empty Star  269
  |   13976 Learners
  |   Upto 2 hours  2 Hrs
  |   13 Lectures
  |   Intermediate  Intermediate
R Programming A-Z (Part #4) - DateTime and Classes

This course will provide you learning about the R-programming and its in-detail features of date, classes and methods in R-programming.

Full Star Full Star Full Star Full Star Empty Star  30
  |   13709 Learners
  |   Upto 2 hours  2 Hrs
  |   11 Lectures
  |   Intermediate  Intermediate

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