This course, part of the Google Advanced Data Analytics Certificate, equips learners with the skills to transform raw data into compelling insights. Through hands-on activities and real-world examples, you'll master exploratory data analysis, data visualization, and storytelling techniques, preparing you for a career in data science and advanced analytics.
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Get Started / More InfoThis course comprises five modules that cover topics such as storytelling with data, exploring raw data using Python, data cleaning and validation, creating data visualizations with Tableau, and an end-of-course portfolio project.
This module introduces the art of storytelling with data, covering the exploratory data analysis (EDA) process and its application to uncovering insights. Real-world examples and hands-on activities are included, allowing learners to practice and apply their skills.
Module 2 focuses on exploring raw data using Python, guiding learners through the process of discovering, structuring, and organizing raw data. Hands-on activities and exemplars provide practical experience in working with raw data.
In this module, learners delve into the critical task of cleaning and validating data. Topics covered include handling missing data, identifying and addressing outliers, and transforming categorical data into numerical data using Python.
Module 4 delves into creating effective data visualizations and presentations using Tableau. Learners will explore the visualization life cycle, work with Tableau, and craft compelling stories with data. Hands-on activities and exemplars enhance the learning experience.
The final module focuses on the end-of-course project, providing guidance and resources for learners to apply their newly acquired skills to real-world scenarios. Activities and exemplars are included to assist learners in creating their portfolio projects.
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