Highlights
Tuition fee
499 USD / full
499 USD / full
499 USD / full
Unknown
Tuition fee
499 USD / full
499 USD / full
499 USD / full
Unknown
Duration
2 days
Duration
2 days
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

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

Visit programme website for more information

Overview

The  Data Analyst Nanodegree programme 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
  • Basic data visualizations
  • Exploratory data analysis
  • Jupyter notebooks
  • Data storytelling
  • Data analysis process
  • NumPy
  • Data manipulation

Advanced Data Wrangling

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

Data Visualization with Matplotlib and Seaborn

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

Programme Structure

Courses include:

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

Key information

Duration

  • Part-time
    • 2 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

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

Prior to enrolling, you should have the following knowledge:

  • File i/o
  • 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 Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    499 USD / full
    499 USD / full
  • Out-of-State
    499 USD / full
    499 USD / full
  • Domestic

    In-State
    499 USD / full
    499 USD / full

Additional Details

249$ - Monthly Subscription - Unlimited access to all Udacity programs, skills and projects

Funding

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