Data Analyst Nanodegree, Short Course | Part time online | Udacity | United States
3 months
249 USD/module
249 USD/module
Tuition fee
Apply date
Start date


Learn to clean up messy data, uncover patterns and insights, make predictions using machine learning, and clearly communicate your findings. This Data Analyst Nanodegree program at Udacity involves real-world projects where learners can apply their skills in data visualization, exploratory data analysis, latent variables, and more. 

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The  Data Analyst Nanodegree program at Udacity is a meticulously crafted data analyst online course that imparts essential skills for cleaning up messy data, uncovering patterns and insights, making predictions with machine learning, and effectively communicating findings. 

The curriculum includes hands-on experience with Python, Pandas, NumPy, as well as advanced data wrangling and visualization using Matplotlib and Seaborn. At Udacity, we empower our learners with practical, industry-relevant skills taught by professionals like Josh Magee, Ria Cheruvu, and Matt Maybeno. Our data analyst course is designed not just to impart knowledge but to ensure its application in real-world scenarios, enhancing both understanding and skill retention. Join us to advance your career in data analysis, where we provide the tools and support for your professional growth.

Nanodegree Skills

  • Introduction to Data Analysis with Pandas and NumPy

Pandas • Exploratory data analysis • Basic data visualizations • Jupyter notebooks • Data storytelling • Data analysis process • NumPy • Data manipulation

  • Advanced Data Wrangling

Data cleaning • Data storage • Data Tidiness Assessment • Data gathering • Pandas • Data quality assessment • Data wrangling • File i/o

  • Data Visualization with Matplotlib and Seaborn

Latent variables • Data visualization design • Data fluency • Exploratory data analysis • Professional presentations • Data limitations and biases • Data storytelling • Jupyter notebooks • Quantitative data visualization

Programme Structure

Courses include:

  • Data Analysis with Pandas and NumPy
  • Advanced Data Wrangling
  • Data Visualization with Matplotlib and Seaborn

Key information


  • Part-time
    • 3 months

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

To optimize your success in this program, we've created a list of prerequisites and recommendations to help you prepare for the curriculum. 

Prior to enrolling, you should have the following knowledge:

  • Inferential statistics
  • Basic Python
  • Elementary algebra
  • Basic SQL
  • Basic descriptive statistics
You will also need to be able to communicate fluently and professionally in written and spoken English.

Tuition Fee

To always see correct tuition fees
  • International

    249 USD/module
    Tuition Fee
    Based on the tuition of 249 USD per module during 3 months.
  • National

    249 USD/module
    Tuition Fee
    Based on the tuition of 249 USD per module during 3 months.

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