R Courses : Intro to R Programming 101

Learn basics of R Programming in a way it meant to be learnt!
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  • Lectures 8
  • Length 43 mins
  • Skill Level Beginner Level
  • Languages English
  • Includes Lifetime access
    30 day money back guarantee!
    Available on iOS and Android
    Certificate of Completion
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About This Course

Published 3/2016 English

Course Description

Learn the basics of R Programming by following along with me or relax, sit back and watch!

There are lots of introductory R courses in the market. but, R was never taught in a way to address the steep learning curve and R enthusiasts often get overwhelmed. This course is totally different than others as it focuses on getting you up and running with R rather than getting too deep into concepts in R.

This course is truly step-by-step101 course to introduce you to R. In every section, l have carefully crafted and organized lessons.

After every lesson, you will learn a new valuable concept that will help you understand R better.

In summary, this course has been designed for beginner level R enthusiasts. You will be successful in this course even if you don't have statistical or programming educational background! So, Let's begin and see you inside the course :)

What are the requirements?

  • Install R Studio and R from Google or CRAN

What am I going to get from this course?

  • Understand basic concepts of How R actually works
  • Perform math operations like addition, subtraction, multiplication, modulus etc.
  • Create and add Variables in R
  • Create and Add Vectors in R
  • Understand the important concept of Vectors in R
  • Get ready to take 201 class on R Programming on completion of 101 course :)

What is the target audience?

  • Beginners in R programming
  • Someone who want to get up and running with R programming
  • Get ready for 201 course which deals with concepts like Matrices, Factors, Dataframes and Lists

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.

Curriculum

Section 1: Introduction to R Programming Udemy R Course
01:59

Let's understand why you would want to take this course on R programming introduction course on Udemy

Section 2: Math Operators in R
01:37

Learn basics of R and how R works

04:17

Learn addition, subtraction, multiplication and division in R

Section 3: Variables and Dataypes in R
07:47

Learn basics of variable assignment in R

04:26

Learn numeric, character and logical dayatypes in R

Section 4: Vectors in R
11:21

Learn vector creation and addition in R

10:56

Learn addition of two vectors by different methods

00:49

Learn to apply conditions and comparisons to Vectors

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Instructor Biography

Anil Ugle, Marketing & Analytics Expert

Hi Students, I am Anil Ugle and following is a brief description about me!

Digital Marketing & Data Science

Professionally, I have many years of experience in finance, marketing and other industries. Today, I would like to help you to leverage my knowledge for learning to drive marketing strategy, analyze complex organization datasets, revamp customer experience and revolutionize existing operational processes by helping our customers adopt Data Driven Decision Making and use cutting edge Digital Marketing tools and techniques to market their products more effectively.

From my courses, you will straight away notice how I combine my real-life experience and academic background in Marketing, Technology and Business Analytics to deliver professional step-by-step coaching in the space of Digital Marketing, Advanced Analytics and Data Science. I am also passionate about tech blogging and regularly write how-to articles on cutting-edge technologies and digital marketing tools.

In my professional life, I enjoy exploring Data Science and Digital Marketing tools - I study numbers to analyze patterns in business processes and human behavior... Sounds familiar? Yep! Coincidentally, I am a big fan of every aspect of Digital Marketing from Social Media Marketing, SEO, Search Engine Marketing, CRM, Email Marketing, Marketing Automation to Data Science techniques like spatial analysis, machine learning, data wrangling, data mining, database management :)

Digital Marketing & Analytics Tools and Techniques

I enjoy exploring various tools and programming languages in Digital Marketing and Analytics field like R, SQL, Tableau 9, SEMRush, Marketo, Salesforce, Dynamics CRM, Moz, Google Analytics, Google AdWords, ClickDimensions, Adobe Suite like PhotoShop CC, Adobe After Effects, HootSuite, Canva, WordPress, Kentico, Facebook Power Editor, SocialBRO, EventBrite, Twilio, BuzzSumo, Camtasia, CyberLink PowerDirector, HTML, CSS, GoTo Meeting, BaseCamp, Trello, Asana, Slack, MS Project, MS Visio, ETL, Scribe, DUN and Bradstreet, R Packages like GGPPLOT2, DPLYR, Twilio, Power BI Desktop, PowerQuery, PowerView, Mobile Marketing, Competitive Analysis, Azure ML Studio, Import and Kimono, BPMN, Protege 3.5, Selenium, Web Scraping, Data Cleansing, NodeXL, Text Analysis, Sentiment Analysis, Text Mining, Plotly, LinkedIn Advertising, Twitter Analytics, Big Data Analytics, Social Media Analytics, Data Visualization, Pivot Tables, PR, Buffer, Leads Management, Search Engine Optimization, Content Optimization, Search Engine Marketing - Love It All!

Summary

To sum up, I am absolutely and utterly passionate about both Data Science and Digital Marketing and I am looking forward to sharing our passion and knowledge with you!

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