Nanodegree Program

Business Analytics

Gain foundational data skills applicable to any industry. Collect, organize, and analyze data using Excel, SQL, and Tableau.

Enrollment Closing In

  • Time
    1 Three-Month Term

    Study 10 hrs/week and complete in 3 mo.

  • Classroom Opens
    August 21, 2018
  • Prerequisites
    None
In Collaboration With
  • Tableau
  • Mode

Why take this nanodegree program?

This program is for anyone who wishes to gain foundational data skills that are applicable to virtually all fields. You’ll learn to collect, organize, and analyze data using Excel, SQL, and Tableau, and you’ll explore how to make data-driven decisions. This program is an ideal choice whether you’re just getting started with data, are interested in applying data skills to a current role, or plan to pursue advanced studies and career roles.


Why take this nanodegree program?

$85–$92k
The range of salaries for employees with data skills such as Excel, SQL, and Tableau.

Learn by Doing
Learn by Doing

Learn by Doing

Start building your data skills right away, with hands-on exercises, and projects that use real-world datasets. Collect, organize, and analyze your data, and create your own strategic data visualizations.

Personalized Project Reviews

Personalized Project Reviews

Gain and refine new data skills with the support of expert reviewers whose detailed feedback on your projects will ensure you learn everything you need to know to advance through the program.

An Outstanding Community
An Outstanding Community

An Outstanding Community

Draw inspiration and knowledge from thousands of fellow students, stay on track with the support of mentors, and enjoy regular updates and announcements from the program instructors.

Prepare for a Career in Data

Prepare for a Career in Data

Establish foundational data skills that will enable you to take the next important steps in your career. Receive critical guidance about different career options, explore whether learning to program makes sense for your path, and gain the insights necessary to proceed with confidence.

What You Will Learn

Download Syllabus

Business Analytics

In this program, you’ll learn foundational data skills that apply across functions and industries. You’ll learn to analyze data with Excel, query a database using SQL, and create informative data visualizations with Tableau.

Learn to analyze data with Excel, query a database using SQL, and create informative data visualizations with Tableau.

See fewer details

3 to complete

Prerequisite Knowledge

This is an introductory program and has no prerequisites. In order to succeed, we recommend having experience using a computer and being able to download and install applications.See detailed requirements.

  • Welcome to the Program

    Meet your instructors and learn how to optimize your classroom. Learn how people use data to answer questions, and find your own insights from a data dashboard.

    Interpret a Data Visualization
  • Introduction to Data

    Learn how to use statistics and visuals to find and communicate insights. Develop Excel skills to manipulate, analyze, and visualize data in a spreadsheet.

    Analyze Survey Data
  • SQL for Data Analysis

    Learn to use Structured Query Language (SQL) to extract and analyze data stored in databases.

    Query a Digital Music Store Database
  • Data Visualization

    Learn to apply design and visualization principles to create impactful data visualizations, build data dashboards, and tell stories with data.

    Build Data Dashboards

Learn with the best

Josh Bernhard
Josh Bernhard

Content Developer

Josh has been sharing his passion for data for nearly a decade at all levels of university, and as Lead Data Science Instructor at Galvanize. He's used data science for work ranging from cancer research to process automation.

Dana Sheahen
Dana Sheahen

Content Developer

Dana is an electrical engineer with a Masters in Computer Science from Georgia Tech. Her work experience includes software development for embedded systems in the Automotive Group at Motorola, where she was awarded a patent for an onboard operating system.

Mat Leonard
Mat Leonard

Content Developer

Mat is a former physicist, research neuroscientist, and data scientist. He did his PhD and Postdoctoral Fellowship at the University of California, Berkeley.

Derek Steer
Derek Steer

Content Developer

Derek is the CEO of Mode Analytics. He developed an analytical foundation at Facebook and Yammer and is passionate about sharing it with future analysts. He authored SQL School and is a mentor at Insight Data Science.

Sam Nelson
Sam Nelson

Product Lead

Sam is the Product Lead for Udacity’s Data Analyst, Business Analyst, and Data Foundations programs. He’s worked as an analytics consultant on projects in several industries, and is passionate about helping others improve their data skills.

Student Reviews

4.7

(259)

5 stars
204
78.8%
4 stars
40
15.4%
3 stars
7
2.7%
2 stars
3
1.2%
1 stars
5
1.9%
Plamenna Z.

Great programme! Excellent experience!

Jaime G.

Great opportunity to develop another skill set

Shuaib A.

The program helped me gain the fundamentals to progress through a career in data. I feel more confident with Excel, SQL and Tableau. I also understand how data using these platforms use theory (statistics) to apply in real situations, thanks to the relevant quizzes. The project rubrics and guidance was very clear and understandable thanks to mentors and slack community. I feel confident in seeking further progress in related nanodegrees such as Data Analyst.

Artem G.

It's great!

Abhishek D.

This program enabled me to learn SQL quite easily. Quite excited to learn Tableau.

Learn now, pay later

To make it even easier to learn, you can finance your Nanodegree through Affirm.

  • Easy monthly payments

    As low as $50 per month at 0% APR.

    Learn more.

  • Flexible Payments

    Pay your monthly bill using a bank transfer, check, or debit card.

Get Started Now

Business Analytics

$599
OR
as low as
$50
Enroll Now
Learn the fundamentals of analyzing data for any industry.