CERTIFICATE IN DATA ANALYTICS

CERTIFICATE IN DATA ANALYTICS

• Overview

  In this section we'll show you how this course has been structured and how to get the most out of it. We'll also show you how to solve the exercises and submit quizzes.

  • Introduction to Programming – Part 10
  • Installation and Set-Up – Part 10
  • Data Analysis Excel
  • Summarizing Data
  • Analyzing Data for Decision Making

• Basics

  In this section you'll learn some basic concepts of programming languages and how to use them. You'll also learn how to write clean code using different code editors and tools.

  • Exchanging Data Between Various Sources
  • Analyzing and Presenting Complex Data
  • Statistics for Analytics

• Advanced

  In this section you'll learn some core concepts of Object Oriented Programming. You'll also learn how to structure the data, debug and handling exceptions.

  • Introduction to Statistics and Analytics
  • Data Representation
  • Forecasting Techniques
  • Causality and Correlation
  • Hypothesis Testing
  • Parametric and Non-Parametric Tests
  • Programming in R
  • Overview of R and R Studio
  • Introduction to R libraries
  • Data structures and data types in R
  • Variables and Operators
  • Functions in R
  • Statements in R
  • Machine Learning
  • Introducing Machine Learning
  • Managing and Understanding Data

• Conclusion

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  • Lazy Learning – Classification Using Nearest Neighbors
  • Probabilistic Learning – Classification Using Naive Bayes
  • Divide and Conquer – Classification Using Decision Trees and Rules
  • Regression Methods