Overview What You Will Learn Curriculum Instructor

Course Overview

Are you a Data Science Enthusiast or Professional looking to understand how ‘Data MIning’ can be very useful for you & how it is being one of the best tools in the industry?

We are going to focus on the real-time application of different data mining concepts which helps us to drive in a different manner & most importantly you are going to master how data mining is being used as a tool in the current industry.

Instead of only learning, get a master with hands-on concepts with a real-time use case at the end of the section & every topic you learn, will implement at the same time with different data sets which we called “The first Experience then Learn”.

What You Will Learn

  • Data Mining techniques and practical uses
  • How different industries uses data mining as a tool
  • How we can increase the business as a data scientist using data mining
  • How real-world data flows and pain to clean it and use it
  • Advance clustering and classification techniques with deep understanding of mathematics

Program Curriculum

  • What is Data Mining and Why Use It?
  • Practical Business Use Case in Data Mining
  • $7 Million Cybersecurity Scholarship by EC-Council
  • Chapter 1 Quiz

  • What are Datasets?
  • Understanding Pre-processing
  • Data Reduction and Transformation
  • Chapter 2 Quiz

  • Mining Frequency Patterns
  • Market Basket Analysis
  • Apriori Algorithm
  • Pattern Growth Approach
  • Chapter 3 Quiz

  • What is Clustering and Its Uses?
  • What is DBSCAN?
  • Implementation of DBSCAN
  • Chapter 4 Quiz

  • Understanding Decision Trees
  • Hands-on with Decision Tree
  • Hands-on Bagging and Boosting Technique
  • Chapter 5 Quiz

  • What are Outliers and Their Disadvantages
  • Basic Outlier Detection with Observation
  • Hands-on with Statistical and Proximity Methods
  • Chapter 6 Quiz

  • Understanding Basic Steps for Any Project Implementation
  • Hands-on Encoding and Data Cleaning Techniques
  • Hands-on Data Mining Techniques
  • Chapter 7 Quiz

  • Introduction to Birch Algorithm
  • Deep Dive into Birch Algorithm
  • Hands-on with Birch Algorithm
  • Chapter 8 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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