Python for Data Science and AI by IBM

INSTRUCTORS

Instructor(s) : Joseph Santarcangelo

About this Course

This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours.

• Module 1 - Python Basics
  • Your first program
  • Types
  • Expressions and Variables
  • String Operations
• Module 2 - Python Data Structures
  • Lists and Tuples
  • Sets
  • Dictionaries
• Module 3 - Python Programming Fundamentals
  • Conditions and Branching
  • Loops
  • Functions
  • Objects and Classes
• Module 4 - Working with Data in Python
  • Reading files with open
  • Writing files with open
  • Loading data with Pandas
  • Numpy

Finally, you will create a project to test your skills.

Syllabus

WEEK 1

Python Basics

• Key Concepts
  • Demonstrate an understanding of types in python by converting/casting data types: strings, floats, integers.
  • Interpret variables and solve expressions by applying mathematical operations.
  • Describe how to manipulate strings by using a variety of methods and operations.

Graded: Types
Graded: Expressions and Variables
Graded: String Operations

WEEK 2

Python Data Structures

• Key Concepts
  • Understand tuples and lists by describing and manipulating tuple combinations and list data structures.
  • Demonstrate understanding of dictionaries by writing structures with correct keys and values.
  • Understand the differences between sets, tuples, and lists by creating sets.

Graded: List and Tuples
Graded: Dictionaries
Graded: Sets

WEEK 3

Python Programming Fundamentals

• Key Concepts
  • Classify conditions and branching by identifying structured scenarios with outputs.
  • Understand loops by using visual examples and comparing them to tuples and lists.
  • Understand functions by building a function using inputs and outputs.
  • Explain objects and classes by identifying data types and creating a class.

Graded: Conditions and Branching
Graded: Loops
Graded: Functions
Graded: Objects and Classes

WEEK 4

Working with Data in Python

• Key Concepts
  • Demonstrate an open function to create and identify a file object.
  • Understand how to use pandas for library and data analysis by using commands.
  • Demonstrate how to create a text file by using the open function.
  • Demonstrate how to use NumPy to create multi-dimensional arrays.

Graded: Reading Files with Open
Graded: Writing files with open
Graded: Pandas
Graded: One Dimensional Numpy
Graded: Two Dimensional Numpy

WEEK 5

Analyzing US Economic Data and Building a Dashboard

• Key Concepts
  • Create a dashboard that shows key economic indicators from a specific data set.

Graded: Analyzing US Economic Data and Building a Dashboard

This course is part of the IBM Data Science Professional Certificate

Kudos!!!

Warm Regards,
Piyush Sambhi
Email: piyush.sambhi07@icloud.com
Git URL: https://github.com/sambhipiyush