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Master data fundamentals applicable to any industry



Before You Start Prerequisites:

There are no prerequisites for this program, aside from basic computer skills.

You should be comfortable opening files, folders, and applications, and performing operations like copy and paste.

Educational Objectives

This program is an excellent program for non-technical people who want to make more data driven decisions.

You’ll learn data analysis skills and tools that will help you throughout your career, whether you’re in engineering, sales, marketing, operations, etc.

You’ll learn to use Excel, SQL, and Tableau to manipulate, analyze, and visualize data with the end goal of making better, data-informed decisions.

This program is also great preparation for more advanced programs, such as the Data Analyst or Business Analyst Nanodegree programs

Depending on how quickly you work through the material, the amount of time required is variable.

We have included an hourly estimation for each section of the program.

The program is three months long. If you spend about 10 hours per week working through the program, you should finish the program in three months.



Introduction to Data Analysis 

In the lessons leading to your first project, you will get to know your instructors and learn how data is being applied in many industries.

You’ll also learn about course structure, navigation, learning resources, deadlines, projects, and everything that will help you succeed in this course.

You will then get to work on your first project, where you will draw insights from interactive dashboards.

A large part of working with data is being able to interpret data visualizations and explain your insights to others.

This project will build your intuition on working with data dashboards, while also showing you the types of beautiful visualizations you will be able to produce by the end of this program!

Project 1: Analyze NYSE Data

In this project, you will work with a New York Stock Exchange (NYSE) dataset that contains fundamental financial data for 500 companies.

You will use spreadsheets to analyze and summarize the data using statistics and data visualizations.

You will communicate the key findings in a professional manner.

You will also design a dashboard that calculates the financial metrics and auto populates the income statement for each company using data validation and advanced lookup tools within Excel.

You will then forecast financial metrics within the Income Statement, based on three scenarios with distinct assumptions for a company of your choice from the NYSE dataset.

By the end of this project, you will be able to:

  • Calculate summary statistics using spreadsheets. 
  • Create data visualizations using spreadsheets. 
  • Ask questions and answer them using data. 
  • Work with real-world data that has missing and incorrect values. 
  • Calculate key business metrics in financial analysis and interpret values. 
  • Forecast financial metrics using scenario analysis.


Course 2

SQL for Data Analysis

In this project, you will query a digital music store database which holds information regarding the store’s media, employees, and customers.

 You will use the database to help the store gain an understanding of the types of music that are purchased, where customers live, and how the company might optimize their business practices.

Project 2: Query Digital Music Store Database

By the end of this project, you will be able to:

  • Write SQL to query a single table. 
  • Write SQL to query multiple tables. 
  • Ask a question that requires data from multiple places, join the data together, and answer the question. Updated 5/1/19 
  • Install SQL on your own machine, upload a database, ask complex questions about the data in a database, and query the database to answer those questions.


Course 3

Data Visualization with Tableau

Sharing insights is an integral part of working with data. In this project, you’ll build interactive dashboards with Tableau to tell stories from data.

You’ll use a dataset of flight delays in the US to visualize the quality of airlines and airports, find the best times to fly, and more.

These types of visualizations help guide decision making to reach the best outcomes.

Project 3: Build Data Dashboards

By the end of this project, you will be able to: 

  • Select the most appropriate data visualization for an analysis. 
  • Evaluate the effectiveness of a data visualization. 
  • Build interactive and engaging Tableau dashboards.
Categories: Business