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Newly Launched Course!
R is the new and fastest growing Business Analytics platform. R shall become (if it hasn't already become) one of the most used Business Analytics tool. It is giving strong competition to giants like SAS, SPSS and other erstwhile business analytics packages.
This course is designed specifically for someone who knows basics of Business Analytics and wants to learn implementation of those skills on R platform.
The course is designed considering the busy schedule of learners. It has power pack content for about 90 mins. If you practice along with learning (which is highly recommended) then you shall take about 1-2 days to complete the course.
You will learn how to perform all the analytical tasks required to develop a "Losses prediction model in R" from scratch. This means that you will be working on:
By the end of the course you shall be confident and equipped with all the knowledge required to perform analytical activities in R.
If you want to learn Business Analytics or SAS language, then our other course "Business Analytics for Beginners: Using SAS" shall be the best fit for you.
Not for you? No problem.
30 day money back guarantee.
Learn on the go.
Desktop, iOS and Android.
Certificate of completion.
|Section 1: Introduction to R for Analytics|
Introduction to R
|Section 2: Installation and Setup of R|
Downloading and Installing R
First Fiddle with R
Getting Important Packages Installed in R
|Section 3: Data Import, Exploration & Manipulation in R|
First Code and Data Import in R
Data Exploration in R
Data Manipulation in R
|Section 4: Plots and Macros in R|
Bi-Variate Plots in R
Macros or Functions in R
|Section 5: Modelling in R|
Correlation in RPreview
Regression in R
|Section 6: Conclusion|
We at Analytics17 are dedicated towards making the world easier to understand using Power of Data. We specialise in data science requirements for Banks. And have done hundreds of data science projects involving different machine learning techniques like linear regression, logistic regression, decision trees, clustering & neural networks. With experience on working on languages / tools like SAS, R, Python & SPSS.
A formal training for new comers & entrepreneurs has always been missing in Analytics, which gave us a thought to put together a course for beginners. We have finally got time and platform (Udemy) to share our learnings with everyone. Hopefully our course will help beginners quickly come up the learning curve of Analytics.