course content

Course Content

Navigating Data Science Career Paths: A Project for Job Change

1. Data Science Job Change

IntroductionImport DataExploratory Data AnalysisData PreprocessingTrain and Test SplitModel TrainingModel Evaluation

Navigating Data Science Career Paths: A Project for Job Change

Exploratory Data AnalysisExploratory Data Analysis

In this chapter, we will explore some of our data's features. Specifically, we will see how the target variable is distributed in the following variables: "gender", "relevent_experience", "enrolled_university", "education_level", "major_discipline", "experience", "company_size", "company_type".

Task

  1. Import matplotlib and seaborn (as sns) libraries;
  2. Plot the selected features listed above;
  3. Set the hue value (This parameter takes column name for color encoding) with the target;
  4. Analyse the results.

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Section 1. Chapter 3

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