Analytics For All

Your practical application oriented guide to analyzing Big Data

Last updated 12/2017

English

What you'll learn

Application oriented course for data scinece
Participants gain hands on experience in dealing with data
Focus on foundational aspects of statistics and predictive modelling techniques
Learn to implement Data Manipulation, Data management and Textual Analytics Basics through R

36 sections • 171 lectures • 14h 53m total length

Our course design1:24
In this course you will cover 4 Data mining techniques which will be explained using case studies using R programming language. So you will need to install R-Studio before you start off-this course.

The 4 techniques that will be covered are:

·Liner Regression – It is a predictive model. For example it could be used to predict the sales for next month

·Logistic Regression-Another predictive model used for classification tasks

·Cluster Analysis- this is less statistical and more algorithmic in nature. It is used to find similar records. A common application would be how ecommerce sites give recommendations to customers

·Factor Analysis- a nice tool to reduce sizes of data-sets

The installation guide is included in the supplementary material
Agenda3:34
Course Material For AFA0:02
Please find the downloadable course material in the below link

https://www.analyticstraining.in/course-material/
Pretest: Find out how much you don't know !

This course helps you learn simple but powerful ways to work with data.

It is designed to be help people with limited statistical or programming skills quickly become productive in an increasingly digitized workplace.

In this course you will use R (an open-sourced, easy to use data mining tool) and practice with real life data-sets.

We focus on the application and provide you with plenty of support material for your long term learning.

It also includes a project that you can attempt when you feel confident in the skills you learn.

Anyone who wants to learn Data Science
Beginners to freelancers
This is great for folks who want to understand and starting using data and building basic predictive modes