De Anza College
- Page ID
- 68192
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- Introduction to Data Analytics
- This book aims to give foundational understanding of Data Analytics to the reader who may have previous context about on-premises and cloud platforms.
- Front Matter
- 1: Foundations of Data Analytics
- 2: Data Types, Data Sources, and Data Quality
- 3: Data Collection and Ingestion
- 4: Data Cleaning and Preparation
- 5: Exploratory Data Analysis (EDA)
- 6: Statistical Foundations for Analytics
- 7: Data Visualization Principles
- 8: Visualization Tools and Libraries
- 9: Advanced Visualization Techniques, Dashboarding and Storytelling
- 10: Predictive Analytics and Machine Learning Basics
- 11: Business Intelligence and Embedded Analytics
- 12: Programming-Based Analytics Tools
- 13: Cloud Analytics Platforms and Real-World Case Studies
- 14: Machine Learning for Analytics and Future Trends
- 15: New Chapter
- 16: New Chapter (1)
- Back Matter
- Foundations of Data Science for All
- This book is a practical, interactive introduction to data science for beginning students with no programming experience and little background in statistics. Students learn by experimenting with data and Python code directly within the book while developing the skills and problem-solving approach used in data science.
- Front Matter
- 1: Introduction to Data Science
- 2: Numbers and Strings
- 3: Data Types
- 4: Sequences and Tables
- 5: Plotting
- 6: Table Manipulation
- 7: Conditionals, Iterations, and Probabilities
- 8: Sampling
- 9: Hypothesis Testing
- 10: Two-Sample Tests
- 11: Estimation
- 12: The Mean
- 13: Linear Regression
- 14: Root Mean Squared Error
- 15: Classification
- 16: Classifier
- Back Matter
- Managing Outsourcing - A Practicum
- A hands-on guide to planning, justifying, and executing outsourcing decisions—combining strategic thinking, real tools, and leadership skills for today’s global, high-stakes project environments.
- Project Management - A Practicum
- The book immerses students in the real work of leading a project, not just the theory behind it. Centered on C-Bay Inc., a fictional but realistic organization, the book follows a project through its full lifecycle, teaching students to navigate ambiguity and make defensible calls through authentic documents and decisions. Built on Problem-Based Learning, it gives students a practical, working understanding of what project leadership actually demands.
- Front Matter
- 1: Foundations of Project Management
- 2: Chapter 0 - Role of PM
- 3: Chapter 1 - Project Initiation
- 4: Chapter 2 - Defining Scope and Success
- 5: Chapter 3- Estimating Schedule, Costs and Building the Budget
- 6: Chapter 4 – Identifying Risks and Planning for Change
- 7: Chapter 5 - Project Execution
- 8: Chapter 6 - Closing the Project and Capturing Lessons
- Back Matter
- Project Planning and Control - A Practicum
- Project Planning and Control: A Practicum is a hands-on, scenario-based textbook that guides students through the full lifecycle of project management. Through six immersive milestones, learners build real deliverables—charters, budgets, dashboards, and more—while practicing decision-making, collaboration, and leadership. It bridges classroom learning with professional, portfolio-ready experience.
- Front Matter
- 1: Foundations for Success- How to Navigate This Book
- 2: Structuring Scope- Project Charter and Stakeholder Alignment
- 3: Project Design and Approach
- 4: Schedule Estimation
- 5: Estimating Cost and Building the Budget
- 6: Control Implementation - Scope and Schedule
- 7: Control Implementation - Budget and Quality
- Back Matter
- Risk Assessment and Mitigation - A Practicum
- Risk Assessment and Mitigation – A Practicum is a hands-on, scenario-based textbook where students manage risk in a simulated startup. Through real-world tools and reflection, learners build technical skills and leadership confidence—developing the mindset to lead through uncertainty, not just document it.

