Programming for Data Science with Python
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Programming for Data Science with Python

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udacity公众号

Nanodegree key: nd104
Version: 4.0.0
Locale: en-us
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.

Content

Part 01 : 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.

Module 01: Orientation
- Lesson 01: Welcome to the NanodegreeWelcome 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 02: Knowledge, Community, and CareersYou are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.
- Lesson 03: Get Help with Your AccountWhat to do if you have questions about your account or general questions about the program.
  - Concept 01: FAQ
  - Concept 02: Support
- Lesson 04: The Life of a Data ScientistIn this lesson, you’ll hear from a few data analysts and data scientists about what it’s like to work in data analytics.
  - Concept 01: Introduction
  - Concept 02: Caroline Zimmerman at BMG
  - Concept 03: Sinthuja Nagalingam at Summit Schools
  - Concept 04: Mitchell Yerxa in Precision Farming
  - Concept 05: Emily Peters at Uncommon Bold
  - Concept 06: Let’s get YOU started!
    Part 02 : Introduction to SQL
    Learn SQL language fundamentals such as building basic queries and advanced functions like Window Functions, Subqueries and Common Table Expressions.
Module 01: Lessons
Module 02: Project 1: Investigate a Relational Database
- Lesson 01: Investigate a Relational DatabaseThe Sakila Movie database is a SQL database of online DVD rentals . You will query the database to answer questions about business decisions.Project Description - Investigate a Relational DatabaseProject Rubric - Investigate a Relational Database
  - Concept 01: Project Overview
  - Concept 02: Project Details
  - Concept 03: Workspace vs. Local environment
  - Concept 04: Set Up Your Local Environment
  - Concept 05: Composite Key
  - Concept 06: Workspace: DVD Rental Database
  - Concept 07: Understanding the database
  - Concept 08: Practice Quiz #1
  - Concept 09: Practice Solution #1
  - Concept 10: Practice Quiz #2
  - Concept 11: Practice Solution #2
  - Concept 12: Workspace + Question Set #1
  - Concept 13: Workspace + Question Set #2
  - Concept 14: Project Submission
  - Concept 15: Common Mistakes
  - Concept 16: Helpful strategies
    Part 03 : 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.
Module 01: Command Line Essentials
- Lesson 01: Shell WorkshopThe 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.
  - Concept 01: Introduction to Unix Shell
  - Concept 02: Intro to the Shell
  - Concept 03: Windows: Installing Git Bash
  - Concept 04: Opening a terminal
  - Concept 05: Your first command (echo)
  - Concept 06: Navigating directories (ls, cd, ..)
  - Concept 07: Current working directory (pwd)
  - Concept 08: Parameters and options (ls -l)
  - Concept 09: Organizing your files (mkdir, mv)
  - Concept 10: Downloading (curl)
  - Concept 11: Viewing files (cat, less)
  - Concept 12: Removing things (rm, rmdir)
  - Concept 13: Searching and pipes (grep, wc)
  - Concept 14: Shell and environment variables
  - Concept 15: Startup files (.bash_profile)
  - Concept 16: Controlling the shell prompt ($PS1)
  - Concept 17: Aliases
  - Concept 18: Keep learning!
    Part 04 : Introduction to Python
    Learn Python programming fundamentals such as data types and structures, variables, loops, and functions.
Module 01: Lessons
- Lesson 01: Why Python ProgrammingWelcome to Introduction to Python! Here’s an overview of the course.
  - Concept 01: Welcome to the Course!
  - Concept 02: Programming in Python
- Lesson 02: Data Types and OperatorsFamiliarize yourself with the building blocks of Python! Learn about data types and operators, built-in functions, type conversion, whitespace, and style guidelines.
- Lesson 03: Data StructuresUse 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 04: Control FlowBuild 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 05: FunctionsLearn how to use functions to improve and reuse your code! Learn about functions, variable scope, documentation, lambda expressions, iterators, and generators.
- Lesson 06: ScriptingSetup your own programming environment to write and run Python scripts locally! Learn good scripting practices, interact with different inputs, and discover awesome tools.
- Lesson 07: NumPyLearn the basics of NumPy and how to use it to create and manipulate arrays.
- Lesson 08: PandasLearn the basics of Pandas Series and DataFrames and how to use them to load and process data.
- Lesson 09: Advanced TopicsIn 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.
Module 02: Project
- Lesson 01: Explore US Bikeshare DataUse 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.Project Description - Explore US Bikeshare DataProject Rubric - Explore US Bikeshare Data
  - Concept 01: Project Overview
  - Concept 02: Project Details
  - Concept 03: Code Walkthrough
  - Concept 04: Understanding the Data
  - Concept 05: Practice Problem #1
  - Concept 06: Practice Solution #1
  - Concept 07: Practice Problem #2
  - Concept 08: Practice Solution #2
  - Concept 09: Practice Problem #3
  - Concept 10: Practice Solution #3
  - Concept 11: Completing and Submitting this Project - Two Options
  - Concept 12: Project Workspace: Complete and Submit Project
    Part 05 : Introduction to Version Control
    Learn how to use version control to save and share your projects with others.
Module 01: Git and GitHub
- Lesson 01: What is Version Control?Version control is an incredibly important part of a professional programmer’s life. In this lesson, you’ll learn about the benefits of version control and install the version control tool Git!
- Lesson 02: Create a Git RepoNow that you’ve learned the benefits of Version Control and gotten Git installed, it’s time you learn how to create a repository.
- Lesson 03: Review A Repo’s HistoryKnowing how to review an existing Git repository’s history of commits is extremely important. You’ll learn how to do just that in this lesson.
- Lesson 04: Add Commits to A RepoA repository is nothing without commits. In this lesson, you’ll learn how to make commits, write descriptive commit messages, and verify the changes you’re about to save to the repository.
- Lesson 05: Tagging, Branching, and MergingBeing able to work on your project in isolation from other changes will multiply your productivity. You’ll learn how to do this isolated development with Git’s branches.
- Lesson 06: Undoing ChangesHelp! Disaster has struck! You don’t have to worry, though, because your project is tracked in version control! You’ll learn how to undo and modify changes that have been saved to the repository.
- Lesson 07: Working With RemotesYou’ll learn how to create remote repositories on GitHub and how to get and send changes to the remote repository.
- Lesson 08: Working On Another Developer’s RepositoryIn this lesson, you’ll learn how to fork another developer’s project. Collaborating with other developers can be a tricky process, so you’ll learn how to contribute to a public project.
- Lesson 09: Staying In Sync With A Remote RepositoryYou’ll learn how to send suggested changes to another developer by using pull requests. You’ll also learn how to use the powerful git rebase command to squash commits together.
Module 02: Post Your Work on GitHub
- Lesson 01: Post your Work on GitHubUse your local git repository and your GitHub repository. Fork a repository, work on files, stage files and commit them to GitHub. You will also demonstrate how to hide files using .gitignore files.Project Description - Post your Work on GitHubProject Rubric - Post your Work on GitHub
  - Concept 01: Project Overview
  - Concept 02: Project Details
  - Concept 03: Tasks: Set Up Your Repository
  - Concept 04: Tasks: Improve Documentation
  - Concept 05: Tasks: Refactor Code
  - Concept 06: Tasks: Merging Branches
    Part 06 : Career Services
    These Career Services will ensure you make meaningful connections with industry professionals to accelerate your career growth - whether looking for a job or opportunities to collaborate with your peers. Unlike your Nanodegree projects, you do not need to meet specifications on these Services to progress in your program. Submit these Career Services once, and get honest, personalized feedback and next steps from Udacity Career Coaches!
Module 01: Career Services
- Lesson 01: Industry ResearchYou’re building your online presence. Now learn how to share your story, understand the tech landscape better, and meet industry professionals.
- Lesson 02: Take 30 Min to Improve your LinkedInFind your next job or connect with industry peers on LinkedIn. Ensure your profile attracts relevant leads that will grow your professional network.Project Description - Improve Your LinkedIn ProfileProject Rubric - Improve Your LinkedIn Profile
- Lesson 03: Optimize Your GitHub ProfileOther professionals are collaborating on GitHub and growing their network. Submit your profile to ensure your profile is on par with leaders in your field.Project Description - Optimize Your GitHub ProfileProject Rubric - Optimize Your GitHub Profile
Module 01: Congratulations!
- Lesson 01: Congratulations!Congratulations on completing all your projects!
  - Concept 01: Congratulations
  - Concept 02: Next Steps
  - Concept 03: What’s Next For You?
    Part 08 (Elective): SQL Project Additional Resources
Module 01: Project I Helpers
- Lesson 01: Descriptive Statistics IIn this lesson, you will learn about data types, measures of center, and the basics of statistical notation.
- Lesson 02: Descriptive Statistics IIIn this lesson, you will learn about measures of spread, shape, and outliers as associated with quantitative data. You will also get a first look at inferential statistics.
- Lesson 03: Spreadsheets 1: Getting StartedIn this lesson you’ll learn to get started with spreadsheets: creating and saving a spreadsheet, basic operations, fill, and addressing.
- Lesson 04: Spreadsheets 2: Manipulate DataIn this lesson, you’ll learn to manipulate data in a spreadsheet: formulas, functions, removing duplicate rows, splitting columns, filtering, and sorting.
- Lesson 05: Spreadsheets 3: Analyze DataIn this lesson, you’ll learn to analyze data in a spreadsheet: answer questions about the data using aggregation functions, logical functions, pivot tables, and lookup tables.
- Lesson 06: Spreadsheets 4: Visualize DataIn this lesson, you’ll learn to present data professionally using spreadsheets: charts, histograms, box-plots, and formatting.
  - Concept 01: Intro
  - Concept 02: Pie Charts
  - Concept 03: Exercise: Pie Charts
  - Concept 04: Bar Charts
  - Concept 05: Scatter and Line Plots
  - Concept 06: Quiz: Chart Types
  - Concept 07: Exercise: Scatter Plots
  - Concept 08: Chart Layout Tools
  - Concept 09: Quiz: Chart Layout
  - Concept 10: Histograms
  - Concept 11: Quiz: Histograms
  - Concept 12: Box Plots
  - Concept 13: Quiz: Box Plots
  - Concept 14: Professional Presentations
  - Concept 15: Exercise: Professional Presentations
  - Concept 16: Recap
    Part 09 (Elective): Data Visualization with Tableau
    Learn to apply sound design and data visualization principles to the data analysis process. Learn how to use analysis and visualizations in Tableau to tell a story with data.
Module 01: Data Viz Lessons 2
- Lesson 01: Introduction to Data VisualizationIn this lesson, you will learn the main data visualizations used for univariate and bivariate analyses. As well as the visualizations that are used for when you you want to compare more variables.
- Lesson 02: DesignIn this lesson, you will learn about visual encodings, and best practices for building data visualizations.
- Lesson 03: Data Visualizations in TableauIn this lesson, you will learn how to make visualizations in Tableau. Get excited - it is about to get awesome!
- Lesson 04: Making Dashboards & Stories in TableauIn this lesson, you will learn from a Tableau expert, and start putting together your own dashboards and stories.
  - Concept 01: Video: Communicating With Your Data
  - Concept 02: Video + Text: What’s Ahead?
  - Concept 03: Video: Hierarchies with Trina
  - Concept 04: Quiz: Hierarchies with Trina
  - Concept 05: Video: Building Dashboards & Stories with Trina
  - Concept 06: Text: General Notes for Building Data Dashboards with Trina
  - Concept 07: Text: General Notes for Building Stories
  - Concept 08: Quiz: Building Dashboards & Stories with Trina
  - Concept 09: Video: Extra Practice with Dashboards
  - Concept 10: Quiz: Extra Practice with Dashboards
  - Concept 11: Text: Lesson Recap
  - Concept 12: Video: Congratulations!
    Part 10 (Elective): Introduction to HTML and CSS
    Introduction to HTML and CSS syntax with problem sets.
Module 01: Introduction to HTML and CSS
- Lesson 01: HTML SyntaxSet up your development environment for writing HTML and learn basic tags and syntax.
- Lesson 02: HTML Syntax Problem SetGet practice creating HTML documents and writing tags with this collection of fun challenges.
- Lesson 03: CSS SyntaxLearn the basics of CSS syntax and get started adding style to your websites.
- Lesson 04: CSS Syntax Problem SetPractice writing CSS and styling websites while exploring new properties in this problem set.

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数据分析系列-2022

数据科学Python编程 4.0

Programming for Data Science with Python

Content

Part 01 : Welcome to the Program

Part 02 : Introduction to SQL

Part 03 : Command Line Essentials

Part 04 : Introduction to Python

Part 05 : Introduction to Version Control

Part 06 : Career Services

Part 07 : Congratulations and Next Steps

**Part 08 (Elective):** SQL Project Additional Resources

**Part 09 (Elective):** Data Visualization with Tableau

**Part 10 (Elective):** Introduction to HTML and CSS

数据科学Python编程 4.0

Programming for Data Science with Python

Content

Part 01 : Welcome to the Program

Part 02 : Introduction to SQL

Part 03 : Command Line Essentials

Part 04 : Introduction to Python

Part 05 : Introduction to Version Control

Part 06 : Career Services

Part 07 : Congratulations and Next Steps

Part 08 (Elective): SQL Project Additional Resources

Part 09 (Elective): Data Visualization with Tableau

Part 10 (Elective): Introduction to HTML and CSS

**Part 08 (Elective):** SQL Project Additional Resources

**Part 09 (Elective):** Data Visualization with Tableau

**Part 10 (Elective):** Introduction to HTML and CSS