Course Outline

Introduction

Exploratory Analysis as a Precursor to Data Analysis

Preparing the Development Environment

Installing Python or R

Exploratory Techniques for Summarizing Data

Tools and Techniques for Constructing Data Graphics

Exploring Categorical Data

Exploring Numerical Data

Describing Data

Using Multivariate Statistical Techniques to Visualize Data.

Preparing for Formal Modeling

Summary and Conclusion

Requirements

  • Python or R programming experience.

Audience

  • Developers
  • Data scientists
  • Data analysts
 7 Hours

Number of participants


Price per participant

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