What Will You Learn?
Describe Python Basics including Data Types, Expressions, Variables, and Data Structures.
Apply Python programming logic using Branching, Loops, Functions, Objects & Classes.
Demonstrate proficiency in using Python libraries such as Pandas, Numpy, and Beautiful Soup.
Access web data using APIs and web scraping from Python in Jupyter Notebooks.
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About This Course
Provider: Coursera
Format: Online
Duration: 25 hours to complete [Approx]
Target Audience: Beginners
Learning Objectives: By the end of this free course, you’ll feel comfortable creating basic programs, working with data, and automating real-world tasks using Python.
Course Prerequisites: NA
Assessment and Certification: NA
Instructor: IBM
Key Topics: Data Science, Data Analysis, Python Programming, Numpy, Pandas
Topic Covered:
- - Types
- - Expressions and Variables
- - String Operations
- - List and Tuples
- - Dictionaries
- - Sets
- - Conditions and Branching
- - Loops
- - Functions
- - Exception Handling
- - Objects and Classes
- - Reading Files with Open
- - Writing Files with Open
- - Loading Data with Pandas
- - Pandas: Working with and Saving Data
- - One Dimensional Numpy
- - Two Dimensional Numpy
- - Simple APIs
- - REST APIs & HTTP Requests
- - Optional: HTML for Webscraping
- - Webscraping
- - Working with different file formats (csv, xml, json, xlsx)
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