DPLYR R Package: Introductory R Course on Data Analysis in R

Learn DPLYR R Package with AIRQUALITY sample dataset and understand basic DPLR commands like SELECT, FILTER, MUTATE etc.
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  • Lectures 12
  • Length 35 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 2/2016 English

Course Description

Ready to take your data manipulation skills to the next level? Are you feeling saturated with the limits of EXCEL?

Want to truly learn an R COURSE which shows you why R is the next best thing in data manipulation world?

This course is for you!

Let's get introduced to DPLYR R PACKAGE Video training, sample datasets used with considering the beginners of R in mind, an engaging exercise which is both fun and also gives you a taste for DPLYR R Package and its powerful commands that make your life easier than ever!

Each module is independent so you can start learning from wherever you see fit. The more you learn the better you will get. However, you can stop at any time you will still have a strong set of skills to take with you.

BONUS: This course will be updated with brand new sections as Hadley Wicham releases new versions ofDPLYR PACKAGE in the future. So when you enroll - you enroll for life!

This is just the beginning! I'm going to create advanced data manipulation course using dplyr package where we will work with real datasets and complex real-world problems. Till then, LET'S LEARN THE BASICS OF DPLYR as my first course with many more R courses releasing in future!

What are the requirements?

  • Install R Studio and R from Google or CRAN

What am I going to get from this course?

  • Learn to use basic R commands of DPLYR R Package
  • Understand how to use SELECT query in DPLYR
  • Create new columns using mathematical operators using MUTATE R command in DPLYR
  • Learn how to use FILTER command using single or multiple row filtering criteria
  • Understand how to summarize the dataset and group it by variables using SUMMARISE and GROUP_BY commands in DPLYR
  • Learn to sort and create a sampling using COUNT, ARRANGE and SAMPLE functions
  • Intro to Advanced concepts like PIPING as BONUS!

What is the target audience?

  • Anyone who is interested in data manipulation, data wrangling or simple interested in learning DPLYR Package of Hadley Wicham
  • This course is for beginners and not for power users of R who know advanced DPLYR concepts. Though it is still a good refresher for power Users too!!

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 DPLYR R Package
00:27

Introduction to DPLYR R Package. In this R COURSE, we are going to learn how to use various commands in R Package DPLYR using a sample dataset AIRQUALITY.

Section 2: DPLR Package Installation and Loading in R Studio
02:22

Getting prepared for working on R PACKAGE DPLYR

02:13

Take a look at our sample dataset that we are going to work with in this R course on R PACKAGE DPLYR

1 question

testing the basics of dplyr package installation in R Studio.

Section 3: DPLYR Core Commands - SELECT, FILTER and MUTATE
03:39

Learn how to select only the desired columns that we want to work with using DPLYR SELECT command

04:34

Learn how to use single and multiple conditions on our sample datasets to filter rows

03:04

Learn how to create a calculated column based on using mathematical operators on two or more columns using DPLYR MUTATE R command

1 question

testing the understanding of basics of dplyr commands

Section 4: DPLYR Advanced Intro - SUMMARISE and GROUP_BY
03:01

Learn how to summarise multiple values into a single value

03:23

Learn how to group the dataset by one or more variables or fields

Section 5: DPLYR Sort, Count & Sampling R commands
03:16

Learn how to randomly sample the dataset by selecting rows by size or percentage

01:04

Learn how to tally observations based on groups

02:07

Sort the dataset based on a column in ascending or descending order

Section 6: BONUS
06:11

learn how to use chaining or piping concept of MAGRITTR R Package. This helps the R Script to be much more understandable and avoids creation of intermediate datasets.

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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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