What you'll learn:
- Setup and Use Development Environment for R
- Install and Use Packages in R
- Learn and use Atomic Data Types in R
- Learn and apply advanced explicit/Implicit Coercioning in R
- Learn multiple approaches to create vectors in R
- Understand nuances and implications in Vector Coercions
- Understand Vector indexing principles in R
- Understand and leverage Vectors' flatness property
- Understand Vector Labels and Attributes and their practical use-cases
- Learn Matrices and multiple approaches for creation
- Learn how Matrices Dimension Property works
- Learn advanced techniques for Matrices Indexing
- Learn Matrices Operations and Important Functions
- Learn the amazing use-cases of Lists
- Learn to leverage Lists' Recursive Nature
- Learn multiple ways to create Lists (including from other data structures)
- Learn critical nuances in Lists Indexing, Labels and Lists Properties
- Learn multiple approaches to create Data Frames (including from other data structures)
- Learn Data Frames sub-setting (beginner to advanced)
- Learn how to impute missing values in Data Frames for efficient Data Analysis
- Learn R Control Structures (Conditional statements and loops)
- Learn to create and use R Functions
- Understand Web Scraping Process
- Learn R's Apply family of functions for advanced data manipulation
- Learn Multiple ways to perform Web Scraping in R
- Learn how to perform Data Munging, Cleansing and Transformation in R
- Learn HTML and Document Object Model in the context of Web Scraping
- Learn XPath Query Language for Web Scraping
- Learn RSelenium setup and usage for advanced Web Scraping
- Learn Regular Expression Functions in R for advanced analysis
- Learn advanced Data Frames techniques for efficient data analysis
- Learn how to perform statistical analysis and visualisation to derive insights in R
Ris considered as lingua franca of Data Science.Candidateswith expertise in R programming language are in exceedinglyhigh demand and paid lucratively in Data Science. IEEEhas repeatedlyranked Ras one of the top and most popularProgramming Languages. Almost every Data Science and Machine Learningjob posted globallymentions the requirement forR language proficiency. All the top ranked universities like MIThave included Rin their respective Data Science courses curriculum.
With its growing community of users in Open Source space, R allows you to productively work on complex Data Analysis and Data Science projects to acquire, transform/cleanse, analyse, model and visualise data to supportinformed decision making. But there's one catch:Rhas quite a steep learning curve!
How's this course different from so many other courses?
Many of the available training courses on Rprogramming don't coverit itsentirety. To be proficient in R for Data Sciencerequires thorough understanding of Rprogramming constructs, data structures and none of the available courses coverthem with the comprehensiveness and depth thateach topic deserves. Many courses dive straight into Machine Learning algorithms and advancedstuff without thoroughly comprehending the Rprogramming constructs. Such approaches to teachRhave a lot of drawbacks andthat's where many Data Scientists struggle with in their professional careers.
Also, the real value in learning Rlies in learning from professionals who are experienced, proficientand are still working in Industry on huge projects;a trait which is missing in 90% of the training courses available on Udemy and other platforms.
This is what makes this course stand-out from the rest.This course has been designed to address these andmany otherfallacies and uniquely teaches Rin a way that you won't find anywhere else. Taught by me, an experienced Data Scientist currently working in Deloitte (World's largest consultancy firm)in Australia and has worked on a number of Data Science projects in multiple niches like Retail, Web, Telecommunication and web-sector. Ihave over 5 years ofdiverse experience of working in my own start-ups (related to Data Science and Networking), BPO and digital mediaconsultancy firms,andinacademia's Data Science Research Labs. Itsa rare combination of exposure that you will hardlyfind in anyother instructor.You will be leveraging my valuableexperience to learn and specialize R.
What you're going to learn in this course?
The course will start from the very basics of introducing Data Science, importance of R and then will gradually build your concepts. In the first segment, we'll startfrom setting up Rdevelopment environment, RData types,Data Structures (the building blocks of Rscripts), Control Structures and Functions.
The second segment comprises of applying your learned skills on developing industry-grade Data Science Application. You will be introduced to the mind-set and thought-process of working on Data Science Projects and Application development. The project will then focus on developing automated and robust Web Scraping bot in R. You will get the amazing opportunities to discover what multiple approaches are available and how to assess alternativeswhile making design decisions (something that Data Scientists do everyday). You will also be exposed to web technologies like HTML,Document Object Model,XPath, RSelenium in the context of web scraping,that will take your data analysis skills to the next level. The course will walk you through the step by step process of scraping real-life and live data from a classifieds website to analyse real-estate trends in Australia. This will involve acquiring, cleansing, munging and analyzing data using Rstatistical and visualisation capabilities.
Each and every topic will be thoroughly explained with real-life hands-on examples, exercises along with disseminating implications, nuances, challenges and best-practices based on my years of experience.
What you will gain from this course will be incomparable to what's currently available out there as you will be leveraging my growingexperience and exposure in Data Science.This course will position you to not onlyapply for Data Science jobs but will also enable you touse Rfor more challenging industry-grade projects/problems and ultimately itwill super-charge your career.
So take the decision and enrol in this course and lets work together to make you specializeinR Programming like never before!
