Business Analytics with R for Data Science - Real Exercise!

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Business Analytics with R for Data Science – Real Exercise!

11 Jul , 2018  

 

What Will I Learn?
  • Learn the fundamentals of programming in R
  • Why R is a Must Have for Data Science , AI and Machine Learning!
  • Right Guidance of the Path if You want to be a Data Scientist + Interview Preparation Guide
  • Different kind of Roles in Analytics
  • How to switch career in Data Science??
  • R Programming Basics for Data Scientist
  • R Data Structure – Matrix, Array, Data Frame, Factor, List
  • Work with R’s conditional statements, functions, and loops
  • Systematically explore data in R
  • Dplyr Package, ggplot2 package
  • Index, slice, and subset data
  • Get your data in and out of R – CSV, Excel, Database, Web, Text Data
  • Visualise data: plot different types of data & draw insights like: Line Chart, Bar Plot, Pie Chart, Histogram, Density Plot, Box Plot, 3D Plot, Mosaic Plot
  • Data Manipulation – Apply function, mutate(), filter(), arrange (), summarise(), groupby(), date in R
  • Statistics in R
  • Have fun with real Life Data Sets

 

Requirements
  • No prior knowledge is required to understand this course
  • R software will be used in the course. Installation and use of R will be taught in the course.
  • All software and data used in the course are free
 
Description

Are you planing to take your R Programming skills to the next level?

if you want to work as a data analyst or a data scientist in your industry of choice R Programming is a skill you need ? And why wouldn’t you – data scientist is the hottest ranked profession in the US.

Learn by doing Practical Data Analytics!

There are lots of R courses and lectures out there. However, R has a very steep learning curve and students often get overwhelmed. This course is different!

This course is truly step-by-step. In every new tutorial we build on what had already learned and move one extra step forward.

This course is Absolutely Hands On!
After each video you will get Study Notes and the Codes what we practice.

In this course you will learn:-

  • R Basics – Environment Setup, Loop, Function
  • Vector, Array, Matrix
  • Data Frames
  • List, Factor
  • Import CSV, Text, Excel, Web Data in R 
  • Export  CSV, Text, Excel, Web Data
  • Data Manipulation
  • Dplyr Package

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  • mutate(), filter(), groupby(), summarise() etc. Fuction deep drive
  • Data Visualization 
  • Scatter Plot, mfrow, pch, color 
  • Line Chart, Bar Plot, Pie Chart, Histogram, Density Plot, Box Plot, Mosaic Plot, 3D Plot, ggplot 2, 
  • Statistics
  • Hypothesis Testing Theory
  • Hypothesis Testing Practical
  • Chi Square, ANOVA

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We also discuss:

  • How to work with date-times in R
  • How to prepare data for analysis in R
  • What the Apply family of functions is
  • Data Science Job Opportunity etc.
Who is the target audience?
  • Anyone who is interested in data science can take this course.
  • Aspiring data scientists
  • Anyone who wants to switch his career in Data Science/Analytics/Machine Learning should take this course.
  • Beginners to programming
  • People interested in statistics and data analysis

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Learn Business Analytics with R for Data Science

 

 

 

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