Overview What You Will Learn Curriculum Instructor

Course Overview

Are you Learning statistics but it doesn’t help, as learning is nothing apart from collecting information without applying hands-on techniques with real-time data sets?

Building assumptions is one of the important key roles in Data Science. To validate your assumption, applied statistics will help you to master the concepts. 

We are going to focus on the real-time application of different statistical concepts which helps us to drive in a different manner, and most importantly, you are going to master how to build assumptions, which is an important aspect for applied statistics to validate them.

Instead of only theoretical learning, you will learn hands-on concepts with a real-time project at the end of the section. In every topic you learn, you will implement at the same time with different data sets which we call “First Experience, Then Learn”.

The necessary resources for this course are in the "Resources" section of Video 1.1. You can also access them through this direct link - https://github.com/ec-council-learning/Applied-Statistics-with-Python

What You Will Learn

  • Master how to build assumptions
  • Get hands-on applied statistics tools with different data sets
  • Get to know step by step process to build statistical model
  • Deep dive into different aspect of applied statistics
  • Hand-on with real time client project dealing with around more than 10+ millions of data set

Program Curriculum

  • Why Statistics is Important?
  • Essential Statistical Concepts
  • How to Build Assumptions
  • $7 Million Cybersecurity Scholarship by EC-Council
  • Chapter 1 Quiz

  • What is CLT and Its Importance?
  • Essentials of CLT
  • Best Practices of CLT
  • Chapter 2 Quiz

  • What is Skewness?
  • Applied Skewness
  • What is Kurtosis?
  • Applied Kurtosis
  • Chapter 3 Quiz

  • What is Hypothesis Testing and Some Important Parameters
  • Type 1 Error and Type 2 Error
  • What is P-Value?
  • Applied Hypothesis Testing
  • Chapter 4 Quiz

  • Why Feature Selection is Important?
  • Reason Behind Feature Selection
  • Applied Correlation
  • What is Chi-Square Test?
  • Chapter 5 Quiz

  • What is Statistical Modeling?
  • Understanding the Business Use Case
  • Essential Skills to Frame Problem Statement
  • Deep Dive into Data Set
  • Chapter 6 Quiz

  • Understanding the Features and Building Assumptions
  • How to Apply Statistical Tools with Real-time Problem Statement
  • Feature Selection Based on Business Use Case Understanding
  • Looking Closure at Different Testing Using Applied Statistics and Validating Assumptions
  • Chapter 7 Quiz
Load more modules

Instructor

Vivek Chaudhary chaudhary

Vivek Chaudhary currently works as a freelance data scientist and has worked with different product-based & EdTech startups. He has published one of the best-selling books on Amazon, “Data Investigation-EDA the right way”. His areas of expertise are applied statistics, EDA, data cleaning techniques, and feature engineering and process to building statistical models. According to him “Building Assumptions” is the important factor to apply statistical tools in real-time. If you can’t build assumptions, then no matter how much you learn at the end, it will be difficult to apply statistical techniques. He has mentored 200+ professionals to start their journey and helped them understand applied statistics & EDA.

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