Analyze Data to Answer Questions (Coursera)

Analyze Data to Answer Questions (Coursera)
Course Auditing
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No prior experience with spreadsheets or data analytics is required. All you need is high-school level math and a curiosity about how things work.
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Analyze Data to Answer Questions (Coursera)
This is the fifth course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. In this course, you’ll explore the “analyze” phase of the data analysis process. You’ll take what you’ve learned to this point and apply it to your analysis 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 on your data to complete business objectives.

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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, you will:

- Learn how to organize data for analysis.

- Discover the processes for formatting and adjusting data.

- Gain an understanding of how to aggregate data in spreadsheets and by using SQL.

- Use formulas and functions in spreadsheets for data calculations.

- Learn how to complete calculations using SQL queries.

Course 5 of 8 in the Google Data Analytics Professional Certificate


What You Will Learn

- Discuss the importance of organizing your data before analysis with references to sorts and filters

- Demonstrate an understanding of what is involved in the conversion and formatting of data

- Apply the use of functions and syntax to create SQL queries for combining data from multiple database tables

- Describe the use of functions to conduct basic calculations on data in spreadsheets


Syllabus


WEEK 1

Organizing data to begin analysis

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 for analysis.


WEEK 2

Formatting and adjusting data

As you move closer to analyzing your data, you’ll want to have the data 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 new learning that you can apply to your work.


WEEK 3

Aggregating data for analysis

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.


WEEK 4

Performing data calculations

Calculations are one of the more common tasks that data analysts complete during analysis. 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.



MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Course Auditing
32.00 EUR/month
No prior experience with spreadsheets or data analytics is required. All you need is high-school level math and a curiosity about how things work.

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.