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March 01,2018 - December 31,2018

Experiments With Data

This course aims to provide first introduction to problem solving using data. During the course, you will understand how to test your hypothesis and find answers to your problems.

About This Course

This course aims to provide first introduction to problem solving using data. During the course, you will understand how to test your hypothesis and find answers to your problems. By end of this course, you will be able to understand data science as a domain and would have built your first predictive model

Requirements

This course assumes no past knowledge about analytics and data science.

Course Staff

Course Staff Image #1

 Kunal Jain

 Kunal is the Founder of Analytics Vidhya. Analytics Vidhya is a community based data science portal. Before starting Analytics Vidhya, Kunal had worked in Analytics and Data Science for more than 8 years across various geographies and companies like Capital One and Aviva Life Insurance.

 

 

Course Staff Image #2

 Sunil Ray

 Sunil Ray is Chief Content Officer of Analytics Vidhya. He brings years of experience of using data to solve business problems for several Insurance companies. Sunil has this knack of taking complex topics and then breaking them into easy and simple to understand concepts – a unique skill which comes in handy in his role at Analytics Vidhya. Sunil also follows latest developments in AI & ML closely and is always up for having a discussion on impact of technology on years to come.

Frequently Asked Questions

What is the fee for this course?

This course is completely free for our community members.

ABOUT THE INSTRUCTORS

Analytics Vidhya

Analytics Vidhya

Learn Everything about Analytics

Analytics Vidhya offers a high engagement community of data scientists and analytics professionals. You can connect with them to solve cutting-edge problems to hire them or turn them into evangelists of your products and services

SYLLABUS

  • Introduction to Workshop
  • What is Business Analytics?
  • Applications of Analytics
  • Important Job Roles in Analytics Industry
  • DataHack Summit 2018 (Sponsored)
  • Introduction to Model Building Stages
  • Problem Definition
  • Hypothesis Generation - I
  • Hypothesis Generation - II and Data Collection
  • Data Exploration
  • Predictive Modeling
  • ML algorithm selection
  • Problem Identification
  • Hypothesis Generation
  • Hypothesis Generation and Data Collection
  • Data Exploration
  • Univariate Analysis
  • Multivariate Analysis
  • Missing Value Treatment
  • Outlier Treatment
  • Variable Transformation
  • Predictive Modeling
  • Univariate Analysis
  • Multivariate Analysis
  • Missing Value Treatment
  • Outlier Treatment
  • Variable Transformation
  • Predictive Modeling
  • Univariate Analysis
  • Multivariate Analysis
  • Missing Value Treatment
  • Outlier Treatment
  • Variable Transformation
  • Predictive Modeling
  • Key Takeaways
REVIEWS
4.6(41)
41 Reviews

15 hours ago

brajmoksha

This course was well built from scratch and helps me in understanding whole process step by step.

10 days 14 hours ago

tazak79

15 days 18 hours ago

saiprp

Excellent course to understand the sequence of steps to be followed while working on a ML problem for beginners.

1 months 1 days ago

sanjay.rathod1995@gmail.com

1 months 2 days ago

chandanchandan

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