Question 1

Why should I enroll?

Accepted Answer

Data analysis and communication are highly sought after skills.  Recent LinkedIn research even pointed to data presentation as one of the top 10 most in-demand skills.Udacity has collaborated with Tableau and highly skilled industry leaders to build this program. You’ll get hands-on practice visualizing data and using them to clearly communicate data-driven recommendations. By taking this course, you will combine hard skills in data analysis and visualization with soft skills in presentation, storytelling, and communication to create effective presentations.

Question 2

What jobs will this program prepare me for?

Accepted Answer

This program is intended to supplement existing skills and is not meant to prepare you for a specific role. However, the skills you gain are appropriate for many fields including business, marketing, data analytics, executive leadership, and more.

Question 3

How do I know this program is right for me?

Accepted Answer

This program is intended for two types of students: business leaders and data professionals. If you are a business leader looking to leverage data to communicate more effectively, this program is for you. You’ll be able to make your case for a business goal using data to tell a story. If you are a data analyst, data scientist, machine learning engineer, or other data professional, this program will help you communicate your findings more effectively. You’ll be able to influence your business by showcasing and communicating the most important pieces of data.

Question 4

Do I need to apply? What are the admission criteria?

Accepted Answer

There is no application. This Nanodegree program accepts everyone, regardless of experience and specific background.

Question 5

What are the prerequisites for enrollment?

Accepted Answer

This program is appropriate for students with some experience with data analysis. You should understand descriptive statistics, such as calculating measures of center (mean, median, mode), measures of spread (variance, standard deviation), and distributions (normal distribution, skewness). You should also be familiar with analyzing data in spreadsheets (Excel, Google Sheets, etc.). If you do not have this background, there are courses included in the extracurricular section of the program to help you.

Question 6

If I do not meet the requirements to enroll, what should I do?

Accepted Answer

If you need to sharpen your pre-requisite skills, try the Intro to Descriptive Statistics course.

Question 7

How is this program structured?

Accepted Answer

The Data Visualization Nanodegree program is comprised of content and curriculum to support four (4) projects. We estimate that students can complete the program in four (4) months working 10 hours per week.Each project will be reviewed by the Udacity reviewer network. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.

Question 8

How long is this Nanodegree program?

Accepted Answer

Access to this Nanodegree program runs for the length of time specified in the payment card above. If you do not graduate within that time period, you will continue learning with month to month payments. See the Terms of Use and FAQs for other policies regarding the terms of access to our Nanodegree programs.

Question 9

Can I switch my start date? Can I get a refund?

Accepted Answer

Please see the Udacity Program Terms of Use and FAQs for policies on enrollment in our programs.

Question 10

What software and versions will I need for this program?

Accepted Answer

For this program, you will need a desktop or laptop computer running recent versions of Windows, Mac OS X, or Linux, and an unmetered broadband Internet connection. There are no additional hardware or software requirements for this program, other than those outlined on Udacity's general Technology Requirements page.

Data Visualization Nanodegree Program

Course Report

Course Features

Course Description

Module 1: Intro to Data Visualization

Module 2: Dashboard Designs

Module 3: Data Storytelling

Module 4: Advanced Data Storytelling

Course FAQs