Data Science Level 2

Categories: Data Science
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About Course

Learn the concept on Data Analysis and Feature Engineering with different Statistical Metrics

This is a level up on the Data Science journey from Level 1.

In this course you will learn the Data Analysis to get you ready for Job Interviews! Including:

  • EXPLORATORY DATA ANALYSIS
  • FEATURE ENGINEERING
  • FEATURE SELECTION
  • MEASUREMENT OF MODEL FIT(GOODNESS OF FIT)
  • MODEL PERFORMANCE MEASURE
  • ALGORITHM SPECIFIC METRICS
  • IMPORTANCE OF EDA
  • WHAT IS MODEL PERFORMANCE
  • Hands-On Instructor-led tutorial
  • and much, much more!

This is the Second level of Data Science course, will help make you ready to implement your own data Analysis project for academics and for professionals to crack Job Interview to take the first step to switch you career path onto Data Science. Our Instructor-Led classes will teach you to every section and tasks, modeled after real world requirement and situations.

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What Will You Learn?

  • Learn the concept of Data Analysis.
  • Learn the concept of Feature Engineering.
  • Learn how to select specific Feature that suits the business need.
  • Learn what is Goodness of Fit.
  • Learn how to measure the Performance of a Model.
  • Get a knowledgeable head-start into the field of data Science.

Course Content

EXPLORATORY DATA ANALYSIS

  • WHAT IS EDA?
    00:00
  • IMPORTANCE OF EDA
    00:00
  • NON SATISTICAL WITH EXAMPLE
    00:00
  • SATISTICAL WITH EXAMPLE
    00:00

FEATURE ENGINEERING

FEATURE SELECTION

MEASUREMENT OF MODEL FIT(GOODNESS OF FIT)

MODEL PERFORMANCE MEASURE

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