Python for Data Science, AI & Development
Categories: Data Programs, Data Science Professional Certificate
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What Will You Learn?
- Learn Python - the most popular programming language and for Data Science and Software Development.
- Apply Python programming logic Variables, Data Structures, Branching, Loops, Functions, Objects & Classes.
- Demonstrate proficiency in using Python libraries such as Pandas & Numpy, and developing code using Jupyter Notebooks.
- Access and web scrape data using APIs and Python libraries like Beautiful Soup.
Course Content
Module 1: Python Basics
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Types
00:00 -
Expressions and Variables
00:00 -
String Operations
00:00
1 reading
-
About this course
00:00
4 quizzes
-
Practice Quiz
00:00 -
Practice Quiz
00:00 -
Practice Quiz
00:00 -
Module 1 Graded Quiz
00:00
2 app items
-
Hands-On Lab: Your First Program, Types, Expressions, and Variables
00:00 -
Hands-On Lab: Strings
00:00
1 plugin
-
Cheat Sheet: Python Basics
00:00
Module 2: Python Data Structures
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List and Tuples
00:00 -
Dictionaries
00:00 -
Sets
00:00
4 quizzes
-
Practice Quiz
00:00 -
Practice Quiz
00:00 -
Practice Quiz
00:00 -
Module 2 Graded Quiz
00:00
4 app items
-
Hands-On Lab: Lists
00:00 -
Hands-On Lab: Tuples
00:00 -
Hands-On Lab: Dictionaries
00:00 -
Hands-On Lab: Sets
00:00
2 plugins
-
Cheat Sheet: Lists and Tuples
00:00 -
CheatSheet: Dictionaries & Sets
00:00
Module 3: Python Programming Fundamentals
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Conditions and Branching
00:00 -
Loops
00:00 -
Functions
00:00 -
Exception Handling
00:00 -
Objects and Classes
00:00
6 quizzes
-
Practice Quiz
00:00 -
Practice Quiz
00:00 -
Practice Quiz
00:00 -
Practice Quiz
00:00 -
Practice Quiz
00:00 -
Module 3 Graded Quiz
00:00
6 app items
-
Hands-On Lab: Conditions and Branching
00:00 -
Hands-On Lab: Loops
00:00 -
Hands-On Lab: Functions
00:00 -
Hands-On Lab: Exception Handling
00:00 -
Hands-On Lab: Objects and Classes
00:00 -
Practice Lab
00:00
6 plugins
-
Reading: Conditions and Branching
00:00 -
Reading: Loops
00:00 -
Reading: Functions
00:00 -
Reading: Exception Handling
00:00 -
Reading: Objects and Classes
00:00 -
Cheat Sheet: Python Programming Fundamentals
00:00
Module 4: Working with Data in Python
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Reading Files with Open
00:00 -
Writing Files with Open
00:00 -
Loading Data with Pandas
00:00 -
Pandas: Working with and Saving Data
00:00 -
One Dimensional Numpy
00:00 -
Two Dimensional Numpy
00:00
4 quizzes
-
Practice Quiz
00:00 -
Practice Quiz
00:00 -
Practice Quiz
00:00 -
Module 4 Graded Quiz
00:00
6 app items
-
Hands-On Lab: Reading Files with Open
00:00 -
Hands-On Lab: Writing Files with Open
00:00 -
Practice Lab: Selecting Data in a DataFrame
00:00 -
Hands on Lab: Loading Data with Pandas
00:00 -
Hands-On Lab: One Dimensional Numpy
00:00 -
Hands-On Lab: Two Dimensional Numpy
00:00
5 plugins
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Reading: Read Files With Open
00:00 -
Reading: Writing Files with Open
00:00 -
Reading: Pandas
00:00 -
Reading: Numpy
00:00 -
Cheat Sheet: Working with Data in Python
00:00
Module 5: APIs and Data Collection
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Simple APIs (Part 1)
00:00 -
Simple APIs (Part 2)
00:00 -
REST APIs & HTTP Requests – Part 1
00:00 -
REST APIs & HTTP Requests – Part 2
00:00 -
Optional: HTML for Webscraping
00:00 -
Webscraping
00:00 -
Working with different file formats (csv, xml, json, xlsx)
00:00
2 readings
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Next Steps
00:00 -
Python Cheat Sheet: The Basics
00:00
4 quizzes
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Practice Quiz
00:00 -
Practice Quiz
00:00 -
Module 5 Graded Quiz
00:00 -
Final Exam
00:00
5 app items
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Hands-On Lab: Introduction to API
00:00 -
Hands-on Lab: Access REST APIs & Request HTTP
00:00 -
Hands-On Lab: API Examples
00:00 -
Hands-on Lab: Webscraping
00:00 -
Hands-on Lab: Working with different file formats
00:00
3 plugins
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Reading: API
00:00 -
Reading: Webscrapping
00:00 -
Cheat Sheet: APIs and Data Collection
00:00
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