Data analytics is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision making.

Over 8 courses, gain in-demand skills that prepare you for an entry-level job. You’ll learn from Google employees whose foundations in data analytics served as launchpads for their own careers.

This program includes over 180 hours of instruction and hundreds of practice-based assessments, which will help you simulate real-world data analytics scenarios that are critical for success in the workplace. The content is highly interactive and exclusively developed by Google employees with decades of experience in data analytics. Through a mix of videos, assessments, and hands-on labs, you’ll get introduced to analysis tools and platforms and key analytical skills required for an entry-level job.

Skills you’ll gain will include: Data cleaning, problem solving, critical thinking, data ethics, and data visualization

Platforms and tools you will learn include: Presentations, Spreadsheets, SQL, Tableau and R Programming

In addition to expert training and hands-on projects, you'll complete a case study that you can share with potential employers to showcase your new skill set.

• Introducing data analytics
• Thinking analytically
• Exploring the wonderful world of data
• Setting up a data toolbox
• Discovering data career possibilities
• Course Challenge

• Asking effective questions
• Making data-driven decisions
• Learning spreadsheet basics
• Always remember the stakeholder
• Course challenge

• Data types and data structures
• Bias, credibility, privacy, ethics, and access
• Databases: Where data lives
• Organizing and protecting your data
• Course challenge

• The importance of integrity
• Sparkling-clean data
• Cleaning data with SQL
• Verify and report on your cleaning results
• Course challenge

• Organizing data to begin analysis
• Formatting and adjusting data
• Aggregating data for analysis
• Performing data calculations
• Course challenge
• (Bonus) Intermediate Guide to SQL

• Visualizing data
• Creating data visualizations with Tableau
• Crafting data stories
• Developing presentations and slideshows
• Course challenge

• Programming and data analytics
• Programming using RStudio
• Working with data in R
• More about visualizations, aesthetics, and annotations
• Documentation and reports
• Course Challenge

• Learn about capstone basics - Introduction to the capstone & Sample cases for data analysts
• Optional: Building your portfolio
• Optional: Using your portfolio

• Glossary

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