Data Visualization - Nanodegree, Short Course | Part time online | Udacity | United States
4 months
1356 USD/full
1356 USD/full
Tuition fee
Apply date
Start date


At the Data Visualization - Nanodegree course from Udacity you will start by building data visualizations and dashboards, considering your audiences to be as effective as possible. Then, you’ll move into drafting presentations using storytelling techniques, visualizations, and animations to provide data-driven recommendations.

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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.


Data Visualization - Nanodegree course from Udacity 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.

Programme Structure


  • Dashboard Designs
  • Data Storytelling
  • Advanced Data Storytelling

Key information


  • Part-time
    • 4 months
    • 10 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.





Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • This Nanodegree program accepts everyone, regardless of experience and specific background.
  • 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.

Tuition Fee

To always see correct tuition fees
  • International

    1356 USD/full
    Tuition Fee
    Based on the tuition of 1356 USD for the full programme during 4 months.
  • National

    1356 USD/full
    Tuition Fee
    Based on the tuition of 1356 USD for the full programme during 4 months.


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