What Will You Learn?
Get Started with Python: A Practical Introduction to Data Science.
In this course, you'll learn:
What Python is and how it benefits Data Science
How to work with variables and conditional statements
The importance of functions in Python
Reading and writing data with file operations
Mastering data analysis with pandas, a crucial tool in Python.
About This Course
Provider: Edx
Format: Online
Duration: 27 hours to complete [Approx]
Target Audience: Beginners
Learning Objectives: You'll be able to write your own Python scripts and perform basic hands-on data analysis using our Jupyter-based lab environment after completing this free course
Course Prerequisites: Basic Math
Assessment and Certification: NA
Instructor: IBM
Key Topics: Machine Learning, Jupyter, Data Analysis, Data Science, Watson Studio, Python (Programming Language), Data Visualization
Topic Covered:
- - Intoduction
- - Types
- - Expressions and Variables
- - String Operations
- - Lists 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
- - Webscraping
- - Working with different file formats (csv, xml, json, xlsx)
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