Course Assignments
Module 1 challenge :Go Beyond the Numbers: Translate Data into Insights (Google Advanced Data Analytics Professional Certificate) Answers 2025
Question 1 Fill in the blank: Exploratory data analysis is the process of investigating, organizing, and analyzing datasets and _____ their main characteristics. summarizing ✅ modifying ❌ augmenting ❌ preparing ❌ Explanation:EDA emphasizes summarizing data to understand patterns and structure. Question 2 Which EDA process is described? Discovering ✅ Joining ❌ Validating ❌ Cleaning ❌… <a href="https://codeshala.io/platform/coursera/course/go-beyond-the-numbers-translate-data-into-insights-google-advanced-data-analytics-professional-certificate/assignment/module-1-challenge-go-beyond-the-numbers-translate-data-into-insights-google-advanced-data-analytics-professional-certificate-answers-2025/" rel="bookmark"><span class="screen-reader-text">Module 1 challenge :Go Beyond the Numbers: Translate Data into Insights (Google Advanced Data Analytics Professional Certificate) Answers 2025</span></a>
Module 2 challenge :Go Beyond the Numbers: Translate Data into Insights (Google Advanced Data Analytics Professional Certificate) Answers 2025
Question 1 What are some strategies data professionals use to understand the source of a dataset? (Select all that apply.) Request relevant information from the team members who supplied the data. ✅Explanation: Ask the providers about collection methods, provenance, and limitations — this is a primary way to understand source and context. Reduce outliers by… <a href="https://codeshala.io/platform/coursera/course/go-beyond-the-numbers-translate-data-into-insights-google-advanced-data-analytics-professional-certificate/assignment/module-2-challenge-go-beyond-the-numbers-translate-data-into-insights-google-advanced-data-analytics-professional-certificate-answers-2025/" rel="bookmark"><span class="screen-reader-text">Module 2 challenge :Go Beyond the Numbers: Translate Data into Insights (Google Advanced Data Analytics Professional Certificate) Answers 2025</span></a>
Module 3 challenge :Go Beyond the Numbers: Translate Data into Insights (Google Advanced Data Analytics Professional Certificate) Answers 2025
Question 1 Fill in the blank: N/A and NaN are terms used to describe _____ data. nominal ❌ qualitative ❌ string ❌ missing ✅ Explanation:N/A (“not available”) and NaN (“not a number”) are standard indicators of missing data. Question 2 Strategies to solve missing data problems (Select all that apply): Ask the film studio to… <a href="https://codeshala.io/platform/coursera/course/go-beyond-the-numbers-translate-data-into-insights-google-advanced-data-analytics-professional-certificate/assignment/module-3-challenge-go-beyond-the-numbers-translate-data-into-insights-google-advanced-data-analytics-professional-certificate-answers-2025/" rel="bookmark"><span class="screen-reader-text">Module 3 challenge :Go Beyond the Numbers: Translate Data into Insights (Google Advanced Data Analytics Professional Certificate) Answers 2025</span></a>
Module 4 challenge :Go Beyond the Numbers: Translate Data into Insights (Google Advanced Data Analytics Professional Certificate) Answers 2025
Question 1 Which statements correctly describe dimensions and measures in Tableau? (Select all) Dimensions are used to categorize and group data. ✅ Dimensions can be aggregated or placed in calculations. ❌ (this is true of measures) Measures are numeric values. ✅ Dimensions are qualitative data values. ✅ Explanation:Dimensions = categories/labels (often qualitative).Measures = numeric values… <a href="https://codeshala.io/platform/coursera/course/go-beyond-the-numbers-translate-data-into-insights-google-advanced-data-analytics-professional-certificate/assignment/module-4-challenge-go-beyond-the-numbers-translate-data-into-insights-google-advanced-data-analytics-professional-certificate-answers-2025/" rel="bookmark"><span class="screen-reader-text">Module 4 challenge :Go Beyond the Numbers: Translate Data into Insights (Google Advanced Data Analytics Professional Certificate) Answers 2025</span></a>
Assess your Course 3 end-of-course project :Go Beyond the Numbers: Translate Data into Insights (Google Advanced Data Analytics Professional Certificate) Answers 2025
Question 1 Applicable packages and libraries were imported. Yes ✅ No ❌ Explanation:A complete notebook includes all needed imports such as pandas, numpy, matplotlib, seaborn, etc. Question 2 Functions like head(), describe(), and info() were used. Yes ✅ No ❌ Explanation:These functions are required for basic EDA and must appear in your analysis. Question 3… <a href="https://codeshala.io/platform/coursera/course/go-beyond-the-numbers-translate-data-into-insights-google-advanced-data-analytics-professional-certificate/assignment/assess-your-course-3-end-of-course-project-go-beyond-the-numbers-translate-data-into-insights-google-advanced-data-analytics-professional-certificate-answers-2025/" rel="bookmark"><span class="screen-reader-text">Assess your Course 3 end-of-course project :Go Beyond the Numbers: Translate Data into Insights (Google Advanced Data Analytics Professional Certificate) Answers 2025</span></a>