AI- Data Quality Analyst


AI- Data Quality Analyst

 AI and Big Data - An introduction : A must read
  Basic Inferential Statistics and Hypothesis Testing
 Statistical Tools and Usage
 Basic Python Fundamentals
 Basic Introduction to numpy and pandas
 Introduction to Machine Learning 
 Importing data - usage of read csv command
 Data Preprocessing - Data Cleaning (Case Study)+ EDA Basics
 Python Data visualization
 CRISP DM Framework
 Careers : Python and Data Quality Analyst
 Case Study 1 - Data Manipulation : IPL
 Case study 2 - Association Rule Market Basket Analysis
  • Minimum Qualification
    Bachelor’s Degree in Engineering / Technology / Statistics / Mathematics / Computer Science
  • Level: Basic
  • Study time: 30 hours
  • Video time: 15 hours
  • Exams: 2
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Ultimate Distance Training

 The #1 Course to Land a Job in Data Quality
 All necessary tools are included

The Art of Making

The skill you need to become a real professional.

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Learn the tools used by the world's top professionals.

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Boost your confidence, master "the field".
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Course Contents

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