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Data Analysis with Spreadsheets and SQL

This course introduces you to how to use spreadsheets and SQL queries to analyze and extract data. You will learn how to practically apply the OSEMN data analysis framework and spreadsheet functions to clean data, calculate summary statistics, evaluate correlations, and more. You’ll also dive into common data visualization techniques and learn how to use dashboards to tell a story with your data.

By the end of this course you will be able to:

• Clean data with spreadsheets

• Use common spreadsheet formulas to calculate summary statistics

• Identify data trends and patterns

By the end of this course you will be able to:

• Clean data with spreadsheets

• Use common spreadsheet formulas to calculate summary statistics

• Identify data trends and patterns

• Write foundational SQL statements and queries to extract data in spreadsheets

• Create charts in Google Sheets and use Tableau to visualize data

• Use dashboards to create data visualizations

You don't need marketing or data analysis experience, but should have basic internet navigation skills and be eager to participate. Ideally you have already completed course 1: Marketing Analytics Foundation and course 2: Introduction to Data Analytics in this program.

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What's inside

Syllabus

Working with Data in Spreadsheets

This week you learn the basics of spreadsheets and their usefulness in data analysis. You will also identify how to apply the OSEMN framework when working with data in spreadsheets.

Data Analysis with Spreadsheets

This week you will learn how to clean data in spreadsheets using foundational spreadsheet functions. You will also learn how to calculate summary statistics in spreadsheets as well as how to identify data trends and relationships between variables.

Extracting Data with SQL

This week you will be introduced to SQL and how it is used in spreadsheets. You will utilize basic queries and functions for handling data with SQL.

Data Visualization

This week you will learn about common chart types and how to determine the best type of chart for the dataset you want to present. You will also learn how to create these charts using both Google Sheets and Tableau.

Creating Dashboards

In the final week you will be introduced to dashboards and how to use them to report on progress within a business setting. You will also learn how to create dashboards in Tableau and use these to tell a story when presenting your data findings.

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Provides hands-on labs and interacive materials

Teaches skills, knowledge, and/or tools that are highly relevant to industry

Builds a strong foundation for beginners

Offers extensive background knowledge that may be useful in taking this course

May require learner to purchase additional software or tools

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Analysis with Spreadsheets and SQL with these activities:

Connect with Industry Professionals

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Expand your professional network by reaching out to individuals working in data analysis or related fields.

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Identify potential mentors through online platforms, industry events, or personal connections.
Craft a professional email or message to introduce yourself and express your interest in connecting.
Schedule a virtual or in-person meeting to discuss your career goals and seek guidance.

Review Spreadsheet Basics

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Start the course with a renewed understanding of spreadsheet basics and terminology.

Browse courses on Spreadsheets

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Revisit a spreadsheet program of your choice and explore the basic menus and functions.
Enter and format data in a spreadsheet, including numbers, text, and formulas.
Save your spreadsheet with a descriptive name and in a convenient location.

Read 'SQL Queries for Mere Mortals'

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Enhance your understanding of SQL by reviewing a book specifically tailored for beginners.

View SQL Queries for Mere Mortals: A Hands-On Guide... on Amazon

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Read through the book, focusing on the fundamentals of SQL.
Complete the practice exercises provided in the book to reinforce your understanding.

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Complete Spreadsheet Challenges

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Build your spreadsheet skills by completing a series of practice exercises.

Browse courses on Data Analysis

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Use a spreadsheet program to complete a set of practice exercises that focus on data analysis, spreadsheet functions, and conditional formatting.
Troubleshoot any errors or issues you encounter while completing the challenges.

Assist a Nonprofit with Data Analysis

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Gain practical experience while contributing to a meaningful cause by volunteering your data analysis skills to a nonprofit organization.

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Reach out to local nonprofits and inquire about opportunities to volunteer your data analysis abilities.
Assist with data collection, analysis, and visualization projects to support their mission.

Develop a Data Visualization Dashboard

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Deepen your understanding of data visualization by creating a dashboard to present your findings in a visually engaging way.

Browse courses on Data Visualization

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Choose a dataset to visualize using a data visualization tool like Tableau.
Create visualizations to represent different aspects of the data, using appropriate chart types and formatting.
Design a dashboard layout that effectively presents your visualizations and insights.

Participate in a Data Science Competition

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Challenge yourself and apply your skills in real-world data analysis scenarios through participation in a data science competition.

Browse courses on Kaggle

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Identify relevant competitions on platforms like Kaggle or DrivenData.
Obtain the competition dataset and familiarize yourself with the problem statement.
Develop and implement a data analysis solution, using appropriate techniques and algorithms.
Submit your solution and evaluate your performance against other participants.

Career center

Learners who complete Data Analysis with Spreadsheets and SQL will develop knowledge and skills that may be useful to these careers:

Data Analyst

A Data Analyst collects, analyzes, interprets, and presents data to help businesses make informed decisions. This course helps build a foundation for success in this role by providing learners with the skills to clean data in spreadsheets, calculate summary statistics, identify data trends and patterns, extract data with SQL, and create data visualizations.

See salaries and explore the career path for Data Analyst

Business Analyst

A Business Analyst helps businesses improve their performance by analyzing their data and processes. This course may be useful for this role by providing learners with the skills to calculate summary statistics, identify data trends and patterns, and create data visualizations. These skills can help Business Analysts to better understand the data they are working with and to make more informed recommendations.

See salaries and explore the career path for Business Analyst

Market Researcher

A Market Researcher collects and analyzes data about consumers, markets, and competitors to help businesses make informed decisions. This course may be useful for this role by providing learners with the skills to clean data in spreadsheets, calculate summary statistics, identify data trends and patterns, and create data visualizations. These skills can help Market Researchers to better understand the data they are working with and to make more informed recommendations.

See salaries and explore the career path for Market Researcher

Financial Analyst

A Financial Analyst analyzes financial data to help businesses make informed decisions about investments, lending, and other financial matters. This course may be useful for this role by providing learners with the skills to calculate summary statistics, identify data trends and patterns, and extract data with SQL. These skills can help Financial Analysts to better understand the data they are working with and to make more informed recommendations.

See salaries and explore the career path for Financial Analyst

Data Scientist

A Data Scientist uses data to solve business problems and develop new products and services. This course may be useful for this role by providing learners with the skills to clean data in spreadsheets, calculate summary statistics, identify data trends and patterns, extract data with SQL, and create data visualizations. These skills can help Data Scientists to better understand the data they are working with and to develop more effective solutions.

See salaries and explore the career path for Data Scientist

Operations Research Analyst

An Operations Research Analyst uses mathematical models to help businesses improve their operations. This course may be useful for this role by providing learners with the skills to clean data in spreadsheets, calculate summary statistics, identify data trends and patterns, extract data with SQL, and create data visualizations. These skills can help Operations Research Analysts to better understand the data they are working with and to develop more effective models.

See salaries and explore the career path for Operations Research Analyst

Software Engineer

A Software Engineer designs, develops, and maintains software applications. This course may be useful for this role by providing learners with the skills to clean data in spreadsheets, calculate summary statistics, identify data trends and patterns, and create data visualizations. These skills can help Software Engineers to better understand the data they are working with and to develop more effective software applications.

See salaries and explore the career path for Software Engineer

Computer Programmer

A Computer Programmer writes and tests code to create software applications. This course may be useful for this role by providing learners with the skills to clean data in spreadsheets, calculate summary statistics, identify data trends and patterns, and create data visualizations. These skills can help Computer Programmers to better understand the data they are working with and to develop more effective software applications.

See salaries and explore the career path for Computer Programmer

Database Administrator

A Database Administrator manages and maintains databases. This course may be useful for this role by providing learners with the skills to clean data in spreadsheets, extract data with SQL, and create data visualizations. These skills can help Database Administrators to better understand the data they are working with and to maintain their databases more effectively.

See salaries and explore the career path for Database Administrator

Systems Analyst

A Systems Analyst analyzes and designs computer systems. This course may be useful for this role by providing learners with the skills to clean data in spreadsheets, calculate summary statistics, identify data trends and patterns, and create data visualizations. These skills can help Systems Analysts to better understand the data they are working with and to design more effective systems.

See salaries and explore the career path for Systems Analyst

Web Developer

A Web Developer designs and develops websites. This course may be useful for this role by providing learners with the skills to clean data in spreadsheets, calculate summary statistics, identify data trends and patterns, and create data visualizations. These skills can help Web Developers to better understand the data they are working with and to develop more effective websites.

See salaries and explore the career path for Web Developer

Graphic designer

A Graphic Designer creates visual concepts, using computer software or by hand, to communicate ideas that inspire, inform, and captivate consumers. This course may be useful for this role by providing learners with the skills to create data visualizations. These skills can help Graphic Designers to better understand the data they are working with and to create more effective visual designs.

See salaries and explore the career path for Graphic designer

Marketing Manager

A Marketing Manager plans and executes marketing campaigns to promote a company's products or services. This course may be useful for this role by providing learners with the skills to clean data in spreadsheets, calculate summary statistics, identify data trends and patterns, and create data visualizations. These skills can help Marketing Managers to better understand the data they are working with and to develop more effective marketing campaigns.

See salaries and explore the career path for Marketing Manager

Sales Manager

A Sales Manager leads and manages a team of sales professionals to achieve sales goals. This course may be useful for this role by providing learners with the skills to clean data in spreadsheets, calculate summary statistics, identify data trends and patterns, and create data visualizations. These skills can help Sales Managers to better understand the data they are working with and to develop more effective sales strategies.

See salaries and explore the career path for Sales Manager

Project Manager

A Project Manager plans and executes projects to achieve specific goals and objectives. This course may be useful for this role by providing learners with the skills to clean data in spreadsheets, calculate summary statistics, identify data trends and patterns, and create data visualizations. These skills can help Project Managers to better understand the data they are working with and to develop more effective project plans.

See salaries and explore the career path for Project Manager

Reading list

We've selected 18 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data Analysis with Spreadsheets and SQL.

Python for Data Analysis

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Provides a comprehensive introduction to data analysis with Python and Pandas. It covers data cleaning, data transformation, data visualization, and data modeling.

Data Analysis with Spreadsheets and SQL

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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