Learn the technical and soft skills you need to succeed in your career as a data analyst.
You’ve learned how to use Python, R, SQL, and the statistical skills needed to get started as a data analyst—so, what’s next?
Effective Data Analysis bridges the gap between foundational skills and real-world application. This book provides clear, actionable guidance on transforming business questions into impactful data projects, ensuring you’re tracking the right metrics, and equipping you with a modern data analyst’s essential toolbox.
In
Effective Data Analysis, you’ll gain the skills needed to excel as a data analyst, including:
- Maximizing the impact of your analytics projects and deliverables
- Identifying and leveraging data sources to enhance organizational insights
- Mastering statistical tests, understanding their strengths, limitations, and when to use them
- Overcoming the challenges and caveats at every stage of an analytics project
Applying your expertise across a variety of domains with confidence
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 enhance the value of your work—from choosing the right analysis approach, to developing a data-informed organizational culture.