Textbook in PDF format

Learn the technical and soft skills you need to succeed in your career as a data analyst. In Effective Data Analysis you’ll learn skills for succeeding at data analysis including: Maximizing the value of your analytics projects and deliverables Identifying data sources that enhance your organization's insights Understanding statistical tests, their strengths, limitations, and appropriate usage Navigating the caveats and challenges of every stage of an analytics project Applying your new skills across diverse domains Effective Data Analysis is full of sage advice on how to be an effective data analyst in a real production environment. Inside, you’ll find methods that maximize the impact of your work, from choosing the right analysis approach to effectively communicating with stakeholders. You’ll soon understand the nuances and challenges of real data science projects, with the kind of insights that only come from years of experience. PART 1: ASKING QUESTIONS What does an analyst do? From Question to Deliverable Testing and Evaluating Hypotheses PART 2: MEASUREMENT The Statistics You (Probably) Learned: T-Tests, ANOVAs, and Correlations The Statistics You (Probably) Didn’t Learn: Non-Parametric Tests, Chi-Square Tests, and Responsible Interpretation Are you measuring what you think you’re measuring? The Art of Metrics: Tracking Performance for Organizational Success PART 3: THE ANALYST’S TOOLBOX Navigating Sensitive and Protected Data The World of Statistical Modeling Incorporating External Data into Analyses The Magic of Well-Structured Data Tools and Tech for Modern Data Analytics