Effective Data Analysis (MEAP V07): Hard and soft skills

✍ Scribed by Mona Khalil

Publisher: Manning Publications Co.
Year: 2024
Tongue: English
Leaves: 389
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

welcome
1_What_does_an_analyst_do?
2_From_Question_to_Deliverable
3_Testing_and_Evaluating_Hypotheses
4_The_Statistics_You_(Probably)Learned:_T-Tests,_ANOVAs,_and_Correlations
5_The_Statistics_You(Probably)_Didn’t_Learn:_Non-Parametric_Tests,_Chi-Square_Tests,_and_Responsible_Interpretation
6_Are_you_measuring_what_you_think_you’re_measuring?
7_The_Art_of_Metrics:_Tracking_Performance_for_Organizational_Success
8_Navigating_Sensitive_and_Protected_Data
9_The_World_of_Statistical_Modeling

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