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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