“I wouldn’t be where I was without Dataquest. Be confident in what you learn with Dataquest. If you take the time to learn, you will be one of the few people in the world that can do what you do.”

#### Vicknesh Mano

Data Science Manager @Accenture

## Path overview

We designed this skill path for aspiring data professionals with little experience, and learners who use basic Excel in their daily jobs. You’ll learn how to manipulate data using complex formulas, commands, and tools, such as macros, pivot tables, and advanced graphs.

Best of all, you’ll learn by doing — you’ll write code and get feedback directly in the browser. You’ll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.

## Key skills

• Defining, Categorizing, and evaluating data
• Identifying data uses in everyday business
• Organizing data for data analysis
• Defining the key steps of the data analysis process

## Path outline

### Introduction to Data Analysis in Excel 4h

Objectives
• Define, categorize, and evaluate data
• Identify ways data is used in business and everyday life
• Organize data
• Describe key steps of the data analysis process

### Preparing Data in Excel 6h

Objectives
• Import data into an Excel spreadsheet from more than one data source
• Organize data into a spreadsheet using worksheets and tables
• Clean, manipulate, and modify the data
• Consolidate the data for analysis

### Visualizing Data in Excel 6h

Objectives
• Visualize data using pie, column, histogram, line, scatter, and combo charts
• Select the appropriate data visualization
• Create charts using design principles
• Design visualizations for your intended audience

### Exploring Data in Excel 5h

Objectives
• Define descriptive statistics
• Identify the different types of descriptive statistics
• Identify when to use each descriptive statistic
• Apply and compare different descriptive statistics to a single column, to multiple columns, and to groups of data
• Create visualizations to explore and analyze data

### Analyzing Data in Excel 5h

Objectives
• Analyze data and discover business insights using PivotTables
• Identify trends over time in time-series data
• Summarize and visualize relationships between categorical and quantitative variables
• Confirm a relationship between an independent and dependent variable using linear regression
• Estimate the sensitivity of an output to given inputs

## The Dataquest guarantee

Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our path, you’ll master data skills and grow your career.

We believe so strongly in our paths that we offer a full satisfaction guarantee. If you complete a career path on Dataquest and aren’t satisfied with your outcome, we’ll give you a refund.

## Master skills faster with Dataquest

### Go from zero to job-ready

Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.

Build confidence with our in-depth projects, and show off your data skills.

### Challenge yourself with exercises

Work with real data from day one with interactive lessons and hands-on exercises.

Share the evidence of your hard work with your network and potential employers.

## Projects in this path

### Preparing Data with Excel

For this project, you’ll take on the role of a data professional in a marine biology research organization. You’ll use Excel to import, organize and clean a dataset on shark attacks, preparing it for an analysis team to study trends in attack location and frequency over time.

For this project, you’ll step into the shoes of a business analyst to explore historical stock market data using Excel. By applying information design concepts, you’ll create compelling visualizations and craft an insightful report – building in-demand skills for communicating data-driven insights.

### Identifying Customers Likely to Churn for a Telecommunications Provider

For this project, you’ll act as a data analyst for a telecommunications company. You’ll use Excel to explore customer data and build profiles of those likely to churn, applying statistics, PivotTables and charts.

### Analyzing Retail Sales

For this project, we’ll take on the role of an analyst for a chain of retail stores to explore sales performance across categories and over time using Excel.

## Learning resources

Want to boost your career prospects? Mastering Excel is...
Microsoft Excel could be the single most popular piece ...

98%
of learners recommend
4.85
Dataquest rating
SwitchUp Best Bootcamps
\$30k
Average salary boost
for learners who complete a path

### Aaron Melton

“Dataquest starts at the most basic level, so a beginner can understand the concepts. I tried learning to code before, using Codecademy and Coursera. I struggled because I had no background in coding, and I was spending a lot of time Googling. Dataquest helped me actually learn.”

### Jessica Ko

#### Machine Learning Engineer at Twitter

“I liked the interactive environment on Dataquest. The material was clear and well organized. I spent more time practicing then watching videos and it made me want to keep learning.”

### Victoria E. Guzik

#### Associate Data Scientist at Callisto Media

“I really love learning on Dataquest. I looked into a couple of other options and I found that they were much too handhold-y and fill in the blank relative to Dataquest’s method. The projects on Dataquest were key to getting my job. I doubled my income!”

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