Data Science 101

1 point

Classification, Regression, Analysis

Regression, Evaluate, Classification

Select Technique, Build Model, Evaluate

Investigate, Build Model, Evaluate

1 point

Investigation

Analysis

Validation

Evaluation

1 point

Define the Problem

Define Goals

Ask the Right Questions

Assess the Situation

1 point

Collect Data

Build In-House Expertise

Organizational Buy-In

Business Objectives

Data exploration… <complete the sentence>

1 point

enables understanding of general trends, correlations, and outliers.

enables histograms and others graphs as data visualization.

enables a description of data which allows visualization.

leads to data understanding which allows an informed analysis of the data.

1 point

Data science requires a variety of expertise in different fields.

Exhibition of curiosity is required.

Engineering solutions are preferred.

Analytic solutions are required.

1 point

Remove outliers.

Remove data with missing values.

Merge duplicate records.

Generate best estimates for invalid values.

Data Wrangling

1 point

Data Science 101 >> Introduction to Big Data