Nanodegree Program

Become a Data Analyst

Learn Python, R, SQL, and Tableau to create data-driven decisions

Prepare for a career in data analytics. Learn the skills and tools to uncover insights, communicate critical findings, and create data-driven solutions.

Enroll by August 14!

  • TIME
    1 Term - 4 Months

    Study 10 hrs/week and complete in 4 mo.

  • CLASSROOM OPENS
    August 14, 2018
  • Prerequisites
    Descriptive statistics, spreadsheets or SQL

    See prerequisites in detail

  • Language
    English

    Learning material and communication in English

Built in partnership with
  • Kaggle
  • Mode

Why Take The Data Analyst Nanodegree Program?

In this data science course, you’ll master the skills you need to establish a successful data science career. Our curriculum was developed with leading industry partners to ensure students master the most cutting-edge skills in their data analytics training. Demand for qualified employees with advanced data skills has never been higher, and graduates will emerge fully job-ready.


Why Take The Data Analyst Nanodegree Program?

Data Analyst: Glassdoor's
job of the year
in 2016

What You Will Learn

Download Syllabus

Data Analysis with Python and SQL

Advance your programming skills and refine your ability to work with messy, complex datasets. You’ll learn to manipulate and prepare data for analysis, and create visualizations for data exploration. Finally, you’ll learn to use your data skills to tell a story with data.

You’ll start to learn data science by coding in Python and understanding how to use the data analysis process to solve problems.

See fewer details

4 months to complete

Prerequisite Knowledge

You should have experience working with Python (specifically Numpy and Pandas) and SQL.See detailed requirements.

  • Introduction to Data Analysis

    Learn the data analysis process of questioning, wrangling, exploring, analyzing, and communicating data. Learn how to work with data in Python using libraries like NumPy and Pandas.

    Explore Weather TrendsInvestigate a Dataset
  • Practical Statistics

    Learn how to apply inferential statistics and probability to important, real-world scenarios, such as analyzing A/B tests and building supervised learning models.

    Analyze Experiment Results
  • Data Wrangling

    Learn the data wrangling process of gathering, assessing, and cleaning data. Learn how to use Python to wrangle data programmatically and prepare it for deeper analysis.

    Wrangle and Analyze Data
  • Data Visualization with Python

    Learn to apply visualization principles to the data analysis process. Explore data visually at multiple levels to find insights and create a compelling story.

    Communicate Data Findings

“Being able to tell a story using data is more critical than ever. We've partnered with Udacity on this program to help aspiring data professionals go beyond crunching numbers, and craft narratives that support decision making.”

— EMMA TRIFARI, TABLEAU'S ACADEMIC PROGRAMS MARKETING MANAGER

Learn with the best

Mat Leonard
Mat Leonard

Curriculum Lead

Mat, who did his PhD and Postdoctoral Fellowship at Berkeley, is a research neuroscientist, and data scientist with a passion for education. Recently, he led the Deep Learning Nanodegree Foundation program covering state-of-the-art machine learning models.

Sebastian Thrun
Sebastian Thrun

Instructor

Sebastian Thrun is a scientist, educator, inventor, and entrepreneur. As the founder and president of Udacity, Sebastian’s mission is to democratize education by providing lifelong learning to millions of students worldwide.

Juno Lee
Juno Lee

Instructor

As a data scientist at Looplist, Juno built neural networks to analyze and categorize product images, a recommendation system to personalize shopping experiences for each user, and tools to generate insight into user behavior.

Derek Steer
Derek Steer

Instructor

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.

Mike Yi
Mike Yi

Instructor

Mike is a content developer with a multidisciplinary academic background, including math, statistics, physics, and psychology. Previously, he worked on Udacity's Data Analyst Nanodegree program as a support lead.

David Venturi
David Venturi

Instructor

Formerly a chemical engineer and data analyst, David created a personalized data science master's program using online resources. He has studied hundreds of online courses and is excited to bring the best of the best to Udacity students.

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.

Data Analyst Nanodegree Program
$999 USD

total

Analyze Data with Python and SQL

ENROLL NOW

Success Stories from Udacity's Students

Anna

Anna

Zurich, Switzerland

Data Analyst Graduate
now at
R3PI

Data Acquisition Expert

Anna

Anna

"The Data Analyst Nanodegree program empowered me change careers while on maternity leave. Five months after starting the course, I got a job in the exciting world of real life data."

Read Full Story
Oleg

Oleg

Vienna, Austria

Data Analyst Graduate
now at
TTTech AG

Project Engineer Automotive

Oleg

Oleg

"During the program, I became fluent in python. I learned statistics, algorithms and implemented my first machine learning model. Now, I'm training to be a self-driving car engineer."

Read Full Story
Lin

Lin

Paris, France

Data Analyst Graduate
now at
AXA

Data Scientist

Lin

Lin

"Udacity made it possible for me to receive world class education while living in my favourite city. Thanks to the well designed Data Analyst program, I have completed many interesting projects which has lead many job interviews and eventually offers as a data scientist!"

Read Full Story
Stefan

Stefan

Milan, Italy

Data Analyst Graduate
now at
Generali

Data Scientist

Stefan

Stefan

"I was a Business Intelligence Consultant, now I'm a Data Scientist. Most importantly, the skills and confidence I gained significantly improved my day-to-day productivity on the job."

Read Full Story
More Stories


World-Class Nanodegree Programs

Jobs of Tomorrow Start Here

    Program Highlights
  • Why should I enroll in the Data Analyst Nanodegree program?
    You should enroll in the program because you'll master the skills you need to establish a successful data science career. You'll learn to analyze data and communicate insights using powerful tools like Python, R, SQL, and Tableau. And having these skills will qualify you for a role as a data analyst. Demand for qualified employees with advanced data skills has never been higher, as data analytics quickly becomes a top priority for organizations. Our curriculum was developed with leading industry partners to ensure students master the most cutting-edge skills, and graduates will emerge fully job-ready. This is the perfect program for anyone who wants to become data analyst or advanced their career in data analytics.
  • What kinds of topics will the program cover?
    The topics we'll cover include Programming in Python, SQL for Data Analysis, Probability and Statistics, Data Wrangling, Exploratory Data Analysis, Programming in R, Data Storytelling in Tableau, and more.
  • Is there a free trial period for this data analytics Nanodegree?
    Nope, but there is a 7-day refund policy in place at the beginning of the Term. You can cancel your Term and obtain a full refund within the 7-day window by going to the Nanodegree Programs section of your Settings page.

Become a Data Analyst

Learn Python, R, SQL, and Tableau to create data-driven decisions