Data management, analyses, and visualization using Google apps

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Last Update September 23, 2023
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About This Course

The training course is designed to equip participants with the skills and knowledge needed to effectively analyze data using Google Apps and Data Studio. Whether you’re a business professional, data enthusiast, or a beginner in data analysis, this course will provide you with the tools and techniques to extract valuable insights from your data and present them in a visually compelling manner.

Learning Objectives

Proficient Data Analysis Skills: By the end of the course, participants will be able to collect, clean, and analyze data using Google Sheets, perform statistical analysis, and create visualizations to derive meaningful insights from diverse datasets.
Effective Data Reporting: Participants will learn to design and develop professional-quality reports and interactive dashboards using Google Data Studio, enabling them to present data-driven findings in a clear and engaging manner to diverse audiences.
Hands-On Application: The course aims to equip participants with practical skills through hands-on exercises and real-world projects. By completing the course, participants should be able to apply their knowledge to real data analysis tasks in their respective fields or professions.

Target Audience

  • M&E professionals and data Analysts
  • Marketing Professionals
  • Small Business Owners
  • program managers
  • Anyone interested in data analysis

Curriculum

43 Lessons

Module 1: Introduction to Data Analysis and Google Sheets

This module provides an overview of data analysis fundamentals, including the importance and types of data analysis. It introduces participants to Google Sheets, covering basic navigation and spreadsheet creation.
What is Data Analysis?
Importance of Data Analysis
Types of Data Analysis

Module 2: Getting Started with Google Sheets

In this module, participants will be introduced to the basics of using Google Sheets, covering essential skills such as setting up a Google account, navigating the Google Sheets interface, creating, opening, and saving spreadsheets, and understanding best practices for formatting and data entry.

Module 3: Data Import and Cleaning

In this module, participants will learn how to import data from various sources into Google Sheets and acquire essential data cleaning skills, including handling missing data and removing duplicates to prepare datasets for analysis

Module 4: Basic Data Analysis in Google Sheets

This module focuses on the foundational principles of data analysis using Google Sheets, covering data sorting, filtering, basic functions and creating charts and graphs to visualize data patterns.

Module 5: Advanced Functions and Formulas

In this module, participants will delve into more advanced Excel functions and formulas, including IF statements, VLOOKUP, HLOOKUP, and array formulas, empowering them to perform complex calculations and data manipulations in Google Sheets.

Module 6: Data Visualization in Google Sheets

This module explores techniques for creating engaging and insightful data visualizations in Google Sheets, including interactive dashboards, customized chart design, trendlines, and the use of Google Sheets add-ons to enhance data representation.

Module 7: Collaborative Data Analysis

In this module, participants will learn how to effectively collaborate on data analysis projects in Google Sheets, covering aspects such as sharing and collaboration, version control, and data protection to ensure smooth teamwork and data security.

Module 8: Introduction to Google Data Studio

This module provides an introduction to Google Data Studio, highlighting its features and benefits, and guides participants on connecting Google Sheets data to Data Studio for creating interactive and visually appealing reports and dashboards.

Module 9: Building Interactive Reports and Dashboards

In this module, participants will learn how to create engaging and interactive reports and dashboards in Google Data Studio by adding data sources, visualizations, and implementing features such as filters and date ranges for dynamic data exploration and presentation.

Module 10: Customizing and Styling Reports

This module focuses on customizing the appearance of reports and dashboards in Google Data Studio, covering styling options, branding, and the use of themes and templates to create visually consistent and professional-looking data presentations.

Module 11: Sharing and Collaboration

In this module, participants will learn how to share their Google Data Studio reports with stakeholders and set up user access and permissions for effective collaboration. Additionally, they will explore scheduling options for automatic report delivery.

Module 12: Advanced Data Analysis in Data Studio

This module focuses on advanced data analysis techniques within Google Data Studio, including the creation of calculated fields and formulas, blending data from multiple sources for comprehensive insights, and implementing interactive features like drill-down and dynamic controls for more in-depth analysis and interactivity in reports and dashboards.

Final Project: Capstone Data Analysis Project

Participants will apply their knowledge to a real-world dataset, cleaning, analyzing, and visualizing the data using Google Sheets and Data Studio. Participants will present their findings and dashboard/report to the class.

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