Analyze Data to Answer Questions

This course is part of Google Data Analytics Professional Certificate

Instructor: Google Career Certificates

Top Instructor

What you'll learn

Discuss the importance of organizing your data before analysis by using sorts and filters.
Convert and format data.
Apply the use of functions and syntax to create SQL queries to combine data from multiple database tables.
Describe the use of functions to conduct basic calculations on data in spreadsheets.

Skills you'll gain

Data Analysis

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

30 quizzes

Taught in English

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This course is part of the Google Data Analytics Professional Certificate

When you enroll in this course, you'll also be enrolled in this Professional Certificate.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
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There are 4 modules in this course

This is the fifth course in the Google Data Analytics Certificate. In this course, you’ll explore what it means to actually analyze your data. You’ll take what you’ve learned up to this point and apply it to make sense of the data you’ve collected. You’ll learn how to organize and format your data using spreadsheets and SQL to help you look at and think about your data in different ways. You’ll also find out how to perform complex calculations with your data to address business objectives. You’ll learn how to use formulas, functions, and SQL queries as you conduct your analysis. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources.

Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. By the end of this course, learners will: - Learn how to organize data for analysis. - Understand the processes for formatting and adjusting data. - Explore how to aggregate data in spreadsheets and by using SQL. - Use formulas and functions in spreadsheets to make data calculations. - Learn how to complete calculations using SQL queries.

Organizing data makes the data easier to use in your analysis. In this part of the course, you’ll learn the importance of organizing your data through sorting and filtering. You’ll explore these processes in both spreadsheets and SQL as you continue to prepare your data.

What's included

9 videos13 readings6 quizzes1 plugin

9 videosTotal 37 minutes

Introduction to getting organized3 minutesPreview module
The analysis process4 minutes
Ayanna: Sticking with it1 minute
Always a need to organize 2 minutes
Filter data with SQL5 minutes
Sort data in spreadsheets4 minutes
Use the SORT function in spreadsheets5 minutes
Emma: Journey to a meaningful career2 minutes
Sort data with SQL7 minutes

13 readingsTotal 175 minutes

Course 5 overview: Set your expectations20 minutes
Helpful resources and tips10 minutes
Sort and filter data to keep it organized20 minutes
Review: Set up your BigQuery account20 minutes
Review: Get started with BigQuery10 minutes
Working with .csv files10 minutes
Upload the movie dataset to BigQuery10 minutes
Step-by-Step: Filter data with SQL10 minutes
Step-by-step: Sort datasets in spreadsheets10 minutes
Step-by-step: Use the SORT function in spreadsheets10 minutes
Sort and filter in Sheets and Excel20 minutes
Step-by-Step: Sort data with SQL20 minutes
Glossary terms from module 15 minutes

6 quizzesTotal 184 minutes

Module 1 challenge40 minutes
Test your knowledge on organizing data for analysis8 minutes
Test your knowledge on sorting data in spreadsheets 8 minutes
Hands-On Activity: SQL sorting queries60 minutes
Hands-On Activity: Analyze weather data in BigQuery60 minutes
Test your knowledge on sorting data with SQL 8 minutes

1 pluginTotal 10 minutes

Refresher: Your Google Data Analytics Certificate roadmap10 minutes

As you move closer to analyzing your data, you’ll want to have it formatted and ready to go. In this part of the course, you’ll learn all about converting and formatting data, including how SQL queries can help you combine data. You’ll also find out the value of feedback and support from your colleagues and how it can lead to learnings that you can apply to your work.

What's included

10 videos9 readings5 quizzes1 plugin

10 videosTotal 39 minutes

Get started with data formatting 1 minutePreview module
From one type to another 5 minutes
Data validation3 minutes
Conditional formatting 4 minutes
Merge text strings to gain insights4 minutes
Strings in spreadsheets 3 minutes
When you get stuck3 minutes
Layla: All about the analyze stage3 minutes
Running into challenges? Not to worry!6 minutes
When to use which tool3 minutes

9 readingsTotal 145 minutes

Step-by-Step: From one type to another20 minutes
Convert data in spreadsheets 20 minutes
Transform data with SQL10 minutes
Import and combine data in spreadsheets and databases20 minutes
Step-by-Step: Merge text strings to gain insights20 minutes
Step-by-Step: Strings in spreadsheets 20 minutes
Manipulate strings with SQL10 minutes
Advanced spreadsheet tips and tricks20 minutes
Glossary terms from module 25 minutes

5 quizzesTotal 136 minutes

Module 2 challenge40 minutes
Test your knowledge on converting and formatting data8 minutes
Hands-On Activity: Combine multiple pieces of data60 minutes
Test your knowledge on combining multiple datasets 8 minutes
Self-Reflection: Stack Overflow 20 minutes

1 pluginTotal 10 minutes

SQL query syntax10 minutes

As part of your analysis, you’ll often have to combine data in order to gain insights and complete business objectives. In this part of the course, you’ll explore the functions, procedures, and syntax involved in combining, or aggregating, data. You’ll learn how to do this from multiple cells in spreadsheets and from multiple database tables using SQL queries.

What's included

8 videos10 readings9 quizzes1 plugin

8 videosTotal 40 minutes

Aggregate data for analysis 3 minutesPreview module
Prepare for VLOOKUP4 minutes
VLOOKUP in action3 minutes
Identify and fix common VLOOKUP errors 5 minutes
Explore how JOINs work 7 minutes
Queries within queries6 minutes
Use subqueries to aggregate data 7 minutes
Justin: Where data analysis takes you 2 minutes

10 readingsTotal 185 minutes

VLOOKUP core concepts 20 minutes
Upload the employee dataset to BigQuery20 minutes
Step-by-Step: Explore how JOINs work20 minutes
Secret identities: The importance of aliases20 minutes
Use JOINs effectively 20 minutes
Upload the warehouse dataset to BigQuery20 minutes
Step-by-Step: Queries within queries20 minutes
Step-by-Step: Use subqueries to aggregate data20 minutes
SQL functions and subqueries: A functional friendship20 minutes
Glossary terms from module 35 minutes

9 quizzesTotal 364 minutes

Module 3 challenge40 minutes
Hands-On Activity: Use VLOOKUP to perform a task60 minutes
Test your knowledge on VLOOKUP8 minutes
Hands-On Activity: Queries for JOINS60 minutes
Hands-On Activity: COUNT and COUNT DISTINCT60 minutes
Test your knowledge on using JOINS to aggregate data 8 minutes
Hands-On Activity: Use subqueries to refine data60 minutes
Hands-on activity: Use subqueries60 minutes
Test your knowledge on working with subqueries 8 minutes

1 pluginTotal 10 minutes

Review subqueries10 minutes

Calculations are a common task for data analysts. In this part of the course, you’ll explore formulas, functions, and pivot tables in spreadsheets and queries in SQL, all of which will help with your calculations. You’ll also learn about the benefits of using SQL to manage temporary tables.