The Google Data Analyst's Toolkit: Beginner's Crash Course

Description

In this comprehensive course, you will learn how to leverage Google's powerful suite of tools to improve your data analysis skills and become a more effective data analyst.

We will start with an introduction to Google Sheets, where you'll learn the basics of the interface and how to set up your data for analysis. Then we will move on to Google Colab, where you'll discover how to use this powerful tool to write and execute Python code in a browser-based environment.

Next, we will dive into Google Data Studio (Looker), a data visualization tool that allows you to create interactive reports and dashboards to communicate insights from your data. You'll learn best practices for report and dashboard design, how to add interactive features to your reports, and how to customize visualizations to tell a compelling data story.

We'll also cover Google Apps Script, which will teach you how to automate repetitive tasks and streamline your workflow using custom scripts and add-ons.

Finally, we will explore the art of data storytelling, where you'll learn how to effectively communicate your data insights to your audience and make a meaningful impact with your analysis.

By the end of this course, you'll have a complete toolkit of Google products and skills to become a proficient data analyst and enhance your ability to make data-driven decisions.

Module 1 Description:

In this module, you will learn how to use Google Sheets as a powerful tool for data analysis. Google Sheets offers a wide range of functions and features that can help you manipulate and analyze data more efficiently. Whether you are new to data analysis or looking to expand your skills, this module will provide you with a strong foundation in using Google Sheets for data analysis. You will learn how to import and manipulate data, create pivot tables, and use formulas and functions to analyze data. You will also learn best practices for organizing and presenting data in a clear and effective manner.

Module Outline:

Lesson 1: Introduction to Google Sheets

Lesson 2: Importing and Manipulating Data

Lesson 3: Creating Pivot Tables

Lesson 4: Formulas and Functions

Lesson 5: Data Visualization and Presentation

Lesson 6: Advanced Techniques and Tips

Module Goals:

• Understand the basics of using Google Sheets for data analysis

• Learn how to import and manipulate data effectively

• Master the use of Pivot Tables for data analysis

• Understand formulas and functions and use them effectively for data analysis

• Create clear and effective data visualizations and presentations

• Learn advanced techniques and tips for using Google Sheets more efficiently and troubleshooting common issues.

Module 2 Description:

Google Colab is a free, cloud-based platform that allows users to write and execute Python code in a collaborative environment. It is becoming increasingly popular among data analysts and data scientists for its ability to perform complex tasks using a web browser. In this module, you will learn how to use Google Colab to manipulate, analyze, and visualize data in a collaborative environment.

Module Outline:

Lesson 1: Introduction to Google Colab

Lesson 2: Getting Started with Google Colab

Lesson 3: Data Manipulation in Google Colab

Lesson 4: Data Analysis and Visualization in Google Colab

Lesson 5: Advanced Techniques in Google Colab

Module Goals:

• Understand the key features and benefits of Google Colab

• Set up and navigate the Google Colab interface

• Import and manipulate data in Google Colab

• Perform data analysis and visualization in Google Colab

• Use advanced techniques in Google Colab, including machine learning and collaborative coding

Module 3 Description:

This online module is designed for data analysts who want to learn how to use Google Data Studio (Looker) to create compelling data visualizations and dashboards. In this module, you will learn how to connect your data sources, create reports and dashboards, customize visualizations, and use advanced techniques and tips to analyze and present your data effectively.

Module Outline:

Lesson 1: Introduction to Google Data Studio (Looker)

Lesson 2: Connecting Data Sources

Lesson 3: Creating Reports and Dashboards

Lesson 4: Customizing Visualizations

Lesson 5: Advanced Techniques and Tips

By the end of this module, you will have a solid understanding of how to use Google Data Studio (Looker) to create professional-grade reports and dashboards that effectively communicate your data insights.

Module 4 Description:

Google Apps Script is a scripting language that allows you to automate and extend the functionality of various Google apps, including Google Sheets, Google Docs, and Google Forms. In this module, you will learn how to use Google Apps Script to create custom functions, automate workflows, and build custom applications that interact with Google apps. You will also learn best practices for writing efficient and effective code, as well as how to troubleshoot common issues.

Module Outline:

Lesson 1: Introduction to Google Apps Script

Lesson 2: Getting Started with Google Apps Script

Lesson 3: Automating Workflows with Google Apps Script

Lesson 4: Building Custom Applications with Google Apps Script

Lesson 5: Advanced Techniques and Tips for Google Apps Script

By the end of this module, you will have the skills and knowledge needed to use Google Apps Script to automate workflows, build custom applications, and extend the functionality of various Google apps. You will also have a strong understanding of best practices for writing efficient and effective code.

Module 5 Description:

This module is designed to help data analysts master the art of data storytelling using various Google tools. In this module, you will learn how to turn raw data into compelling narratives and present them in a visually appealing and engaging way. You will learn how to use Google Sheets, Google Data Studio (Looker), and other Google tools to create dynamic visualizations and dashboards that communicate insights effectively. You will also learn best practices for data visualization and storytelling, and how to incorporate storytelling techniques into your data analysis process.

Module Outline:

Lesson 1: Introduction to Data Storytelling

Lesson 2: Gathering and Preparing Data

Lesson 3: Visualizing Data

Lesson 4: Creating a Data Story

Lesson 5: Advanced Techniques and Tips

Who this course is for:

• This course is designed for individuals who are interested in developing their skills in data analysis and visualization.
• Learners who want to acquire knowledge in statistical analysis, data manipulation, and data visualization using popular tools like Python and Tableau will find this course valuable.
• This course is suitable for beginners who have no prior experience in data analysis, as well as those who want to expand their knowledge in this field.
• This course is ideal for students, researchers, analysts, and professionals who want to use data analysis and visualization to improve decision-making, solve complex problems, and gain insights from data.
• Anyone who works with data or wants to work with data, such as data scientists, data analysts, business analysts, market researchers, and marketing professionals will find this course helpful in enhancing their skills and knowledge.