All Courses

Introduction to Data Science

Chapter 1: Getting Started with Data Science

Defining Data Science

Why Data Science Matters

The Role of a Data Scientist

Essential Skills Overview

Common Tools in Data Science

Quiz for Chapter 1

Chapter 2: Understanding Data Fundamentals

What Constitutes Data?

Structured vs Unstructured Data

Quantitative vs Qualitative Data

Common Data Formats

Understanding Data Attributes and Features

Introduction to Metadata

Quiz for Chapter 2

Chapter 3: The Data Science Process

Overview of the Data Science Workflow

Defining the Problem or Question

Data Acquisition Approaches

Data Preparation Overview

Understanding Exploratory Data Analysis

Introduction to Modeling Concepts

Communicating Findings

Quiz for Chapter 3

Chapter 4: Gathering and Preparing Data

Identifying Data Sources

Introduction to Data Cleaning

Handling Missing Values

Identifying Potential Outliers

Basic Data Transformation Needs

Hands-on Practical: Simple Data Loading

Quiz for Chapter 4

Chapter 5: Performing Basic Data Analysis

Starting Exploratory Data Analysis (EDA)

Calculating Summary Statistics

Measuring Data Spread

Understanding Frequency Distributions

Distinguishing Correlation and Causation

Introduction to Hypothesis Concepts

Hands-on Practical: Calculating Basic Statistics

Quiz for Chapter 5

Chapter 6: Introduction to Data Visualization

The Purpose of Visualizing Data

Common Chart Types Explained

Choosing Appropriate Charts

Principles of Effective Visualization

Overview of Visualization Tools

Hands-on Practical: Creating Basic Charts

Quiz for Chapter 6

Quiz
Beta

Chapter: The Data Science Process

Test your understanding and practice the concepts from this chapter

Quiz Instructions

This quiz contains 14 questions to help you practice.
You need to score at least 70% to pass.
Attempts: Unlimited.
Your highest score will be kept.
Please attempt this quiz without assistance; however, feel free to refer to the chapter notes or use a code interpreter if needed.
This assessment is for your learning and understanding, It is not formally accredited (yet).

Question Format

The questions are designed to be engaging, focusing on understanding, application, and interpretation rather than rote memorization. Expect scenario-based problems that test your ability to apply what you've learned.

Attempts

Best scores and quiz attempts will appear.

© 2025 ApX Machine Learning