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Programming for Data Science with Python

Nanodegree Program

Learn programming skills needed to uncover patterns and insights in large data sets, running queries with relational databases and working with Unix shell and Git.

Learn programming skills needed to uncover patterns and insights in large data sets, running queries with relational databases and working with Unix shell and Git.

Beginner

2 months

Real-world Projects

Completion Certificate

Last Updated June 18, 2024

Skills you'll learn:
Git • NumPy • Pandas • Control flow
Prerequisites:

No experience required

Courses In This Program

Course 1 57 minutes

Welcome to the Program

Welcome to the program! In this part, you will get an orientation into using our classroom and services. You’ll also get advice for making the best use of your time while enrolled in this program.

Lesson 1

Welcome to the Nanodegree

Welcome to the Programming for Data Science Nanodegree program! In this lesson, you will learn more about the structure of the program and meet the team.

Lesson 2

Getting Help

You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.

Lesson 3

Get Help with Your Account

What to do if you have questions about your account or general questions about the program.

Lesson 4

The Life of a Data Scientist

In this lesson, you'll hear from a few data analysts and data scientists about what it's like to work in data analytics.

Course 2 4 weeks

Introduction to SQL

Learn SQL language fundamentals such as building basic queries and advanced functions like Window Functions, Subqueries and Common Table Expressions.

Lesson 1

Basic SQL

In this section, you will gain knowledge about SQL basics for working with a single table. You will learn the key commands to filter a table in many different ways.

Lesson 2

SQL Joins

In this lesson, you will learn how to combine data from multiple tables together.

Lesson 3

SQL Aggregations

In this lesson, you will learn how to aggregate data using SQL functions

Lesson 4

SQL Subqueries & Temporary Tables

In this lesson, you will learn about subqueries, a fundamental advanced SQL topic. This lesson will walk you through the appropriate applications of subqueries, the different types of subqueries, and review subquery syntax and examples.

Lesson 5

SQL Data Cleaning

Cleaning data is an important part of the data analysis process. You will be learning how to perform data cleaning using SQL in this lesson.

Lesson 6

SQL Window Functions

Window functions allow users to compare one row to another without doing any joins using one of the most powerful concepts in SQL data analysis.

Lesson 7

SQL Advanced JOINS & Performance Tuning

Learn advanced joins and how to make queries that run quickly across giant datasets. Most of the examples in the lesson involve edge cases, some of which come up in interviews.

Lesson 8 • Project

Project: Investigate a Relational Database

The **Sakila Movie database** is a SQL database of online DVD rentals . You will query the database to answer questions about business decisions.

Course 3 2 hours

Command Line Essentials

The Unix shell is a powerful tool for developers of all sorts. In this lesson, you'll get a quick introduction to the very basics of using it on your own computer.

Lesson 1

Shell Workshop

The Unix shell is a powerful tool for developers of all sorts. In this lesson, you'll get a quick introduction to the very basics of using it on your own computer.

Course 4 4 weeks

Introduction to Python

Learn Python programming fundamentals such as data types and structures, variables, loops, and functions.

Lesson 1

Why Python Programming

Welcome to Introduction to Python! Here's an overview of the course.

Lesson 2

Data Types and Operators

Familiarize yourself with the building blocks of Python! Learn about data types and operators, built-in functions, type conversion, whitespace, and style guidelines.

Lesson 3

Data Structures in Python

Use data structures to order and group different data types together! Learn about the types of data structures in Python, along with more useful built-in functions and operators.

Lesson 4

Control Flow

Build logic into your code with control flow tools! Learn about conditional statements, repeating code with loops and useful built-in functions, and list comprehensions.

Lesson 5

Functions

Learn how to use functions to improve and reuse your code! Learn about functions, variable scope, documentation, lambda expressions, iterators, and generators.

Lesson 6

Scripting

Set up your own programming environment to write and run Python scripts locally! Learn good scripting practices, interact with different inputs, and discover awesome tools.

Lesson 7

NumPy

Learn the basics of NumPy and how to use it to create and manipulate arrays.

Lesson 8

Pandas

Learn the basics of Pandas Series and DataFrames and how to use them to load and process data.

Lesson 9

Advanced Topics

In this lesson we cover some advanced topics of iterators and generators. You are not required to complete this but we have provided these to give you a taste of these.

Lesson 10 • Project

Explore US Bikeshare Data

Use Python to understand U.S. bikeshare data. Calculate statistics and build an interactive environment where a user chooses the data and filter for a dataset to analyze.

Taught By The Best

Photo of Josh Bernhard

Josh Bernhard

Staff Data Scientist

Josh has been sharing his passion for data for over a decade. He's used data science for work ranging from cancer research to process automation. He recently has found a passion for solving data science problems within marketplace companies.

Photo of Karl Krueger

Karl Krueger

Command Line Instructor

Before joining Udacity, Karl was a Site Reliability Engineer (SRE) at Google for eight years, building automation and monitoring to keep the world's busiest web services online.

Photo of Derek Steer

Derek Steer

CEO at Mode

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.

Photo of Richard Kalehoff

Richard Kalehoff

Instructor

Richard is a Course Developer with a passion for teaching. He has a degree in computer science, and first worked for a nonprofit doing everything from front end web development, to backend programming, to database and server management.

Photo of Juno Lee

Juno Lee

Curriculum Lead at Udacity

Juno is the curriculum lead for the School of Data Science. She has been sharing her passion for data and teaching, building several courses at Udacity. As a data scientist, she built recommendation engines, computer vision and NLP models, and tools to analyze user behavior.

Ratings & Reviews

Average Rating: 4.8 Stars

807 Reviews

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