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about the technology

Without doubt, technical skills in Python, R, SQL, along with knowledge of statistics and data science are vital to your success as an analyst. However, they’re only part of the picture. This one-of-a-kind guide reveals the soft skills, best practices, and tools that help you maximize your effectiveness and deliver accurate data-driven decisions in your organization.

about the book

Effective Data Analysis teaches you to deliver productive data science in business and research. It assumes you’ve mastered the basics and supports you with best practices normally learned through trial-and-error or careful mentorship. Author Mona Khalil shares her expertise through visuals, cartoons, examples from across industries, and even a few laugh-out-loud jokes.

You’ll start with asking the right questions of your stakeholders and turning often-vague requirements into realistic data pipelines. Once you’ve mastered the people skills, you’ll move on to the technical bits—including defining your metrics, testing, and more. Build out your analyst’s toolbox with techniques for statistical modeling, sourcing your data, automation, and more. Finally, finish up with realistic advice on developing a data-informed organizational culture that will ensure your skills are delivering to their full potential.

about the reader

For early-career data analysts who want to enhance their technical knowledge with industry insights.

about the author

Mona Khalil is a Data Science Manager at Greenhouse Software. Mona holds a degree in psychology from Fordham University and statistics at Baruch College, as well as having a decade of experience working with analytics and data science. Mona has worked with cross-functional teams in a variety of industries, including government, education, and HR technology.