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Python for Data Science, AI & Development

Approx. 17 hours to complete

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Course Summary

Learn how to apply Python programming skills to real-world data science and AI projects in this comprehensive course. Gain hands-on experience with popular data science libraries and tools, and learn to analyze and visualize data to make informed decisions.

Key Learning Points

Learn to use Python for data science and AI projects
Gain hands-on experience with popular data science libraries and tools
Develop skills in data analysis and visualization

Learning Outcomes

Apply Python skills to real-world data science and AI projects
Develop proficiency in popular data science libraries and tools
Analyze and visualize data to make informed decisions

Prerequisites or good to have knowledge before taking this course

Basic knowledge of programming concepts
Familiarity with Python programming language recommended

Course Difficulty Level

Intermediate

Course Format

Online
Self-paced

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Applied Data Science with Python
Python Data Science Handbook

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Description

Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python. Python is one of the world’s most popular programming languages, and there has never been greater demand for professionals with the ability to apply Python fundamentals to drive business solutions across industries.

This course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn Python fundamentals, including data structures and data analysis, complete hands-on exercises throughout the course modules, and create a final project to demonstrate your new skills. By the end of this course, you’ll feel comfortable creating basic programs, working with data, and solving real-world problems in Python. You’ll gain a strong foundation for more advanced learning in the field, and develop skills to help advance your career. This course can be applied to multiple Specialization or Professional Certificate programs. Completing this course will count towards your learning in any of the following programs: IBM Applied AI Professional Certificate Applied Data Science Specialization IBM Data Science Professional Certificate Upon completion of any of the above programs, in addition to earning a Specialization completion certificate from Coursera, you’ll also receive a digital badge from IBM recognizing your expertise in the field.

Knowledge

Build your first program in Python
Learn about Python fundamentals, Python data structures, and working with data in Python
Become familiar with key Python functions, objects, and classes
Gain career skills in one of the world’s most popular programming languages

Outline

Python Basics
Types
Expressions and Variables
String Operations
About this course
Practice Quiz
Practice Quiz
Practice Quiz
Module 1 Graded Quiz

Python Data Structures
List and Tuples
Dictionaries
Sets
Practice Quiz
Practice Quiz
Practice Quiz
Module 2 Graded Quiz

Python Programming Fundamentals
Conditions and Branching
Loops
Functions
Exception Handling
Objects and Classes
Practice Quiz
Practice Quiz
Practice Quiz
Practice Quiz
Practice Quiz
Module 3 Graded Quiz

Working with Data in Python
Reading Files with Open
Writing Files with Open
Loading Data with Pandas
Pandas: Working with and Saving Data
One Dimensional Numpy
Two Dimensional Numpy
Practice Quiz
Practice Quiz
Practice Quiz
Module 4 Graded Quiz

APIs, and Data Collection
Simple APIs (Part 1)
Simple APIs (Part 2)
REST APIs & HTTP Requests - Part 1
REST APIs & HTTP Requests - Part 2
Optional: HTML for Webscraping
Webscraping
Working with different file formats (csv, xml, json, xlsx)
Next Steps
Python Cheat Sheet: The Basics
Practice Quiz
Practice Quiz
Module 5 Graded Quiz
Final Exam

Summary of User Reviews

Discover how to use Python for applied data science and AI with this comprehensive course on Coursera. Users have praised the course for its engaging content, practical approach, and great instructors. Many have found the course to be an excellent resource for learning Python and its applications in data science and AI.

Key Aspect Users Liked About This Course

The course content is engaging and practical, making it an excellent resource for learning Python and its applications in data science and AI.

Pros from User Reviews

Engaging content that keeps users interested and motivated
Practical approach that focuses on real-world scenarios and applications
Great instructors who are knowledgeable and supportive
Excellent resource for learning Python and its applications in data science and AI

Cons from User Reviews

Some users may find the pace of the course too slow or too fast, depending on their level of experience
The course may require a significant time commitment, particularly for those who are new to Python and data science
Some users have reported technical issues with the course platform or materials
The course may not be suitable for users who are looking for a more theoretical or academic approach to data science and AI

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