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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study, Virtual Classroom	Video and Text Based

Course Overview

The Programming with Python Training Course is a 10 week-long course that explores the core concepts of Python programming languages. The course will help learners gain skills and knowledge of programming in Python, one of the most popular and powerful programming languages.

The Programming with Python Certification Course can be opted by anyone interested in Python and it does not require prior programming knowledge. The program is administered by Kelly Rivers and Anil Ada, distinguished professors from Carnegie Mellon University.

After completion of the Programming with Python Online Course, learners will receive a valid digital certification from Carnegie Mellon University’s School of Computer Science Executive Education.

The Highlights

Certificate of completion
10 weeks duration
5 to 10 hours weekly study
Video lectures
Activities and assignments
Demonstrations and coding exercises
Peer discussions
Capstone projects
Program support team
Mobile learning app
Expert faculty

Programme Offerings

Certificate of completion
10 weeks duration
5 to 10 Weekly Study Hours
video lectures
Activities and Assignments
Demonstrations
Coding exercises
Program Support Team
Mobile Learning App
Peer discussions
Capstone Projects

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	CMU School of Computer Science, Pittsburgh

The Programming with Python Course fee is US$2,500. There are flexible payment options available and you can pay the fee in installments. A special group enrollment pricing offer provides up to a 20% discount if you enroll in the course with your colleagues

Programming with Python Course Fee Structure

Course	Amount in USD
Programming with Python	US$ 2500

What you will learn

Programming skillsKnowledge of Python

After completing the Programming with Python Classes, you will gain insights into the following topics:

Python's core syntax rules
Translate simple algorithms to Python functions
Common string and list methods
Mutable and immutable data types
Basic data structures and algorithms
Object-oriented programming
Python libraries

Who it is for

The course can be opted by anyone wanting to gain programming skills in Python.

Admission Details

Given below are the steps to enroll in Programming with Python Live Course:

Step 1: Go to the official website by clicking on the URL given below -https://execonline.cs.cmu.edu/programming-python

Step 2: Click on the 'Apply Now' option at the end of the page.

Step 3: Create an account and register to continue.

The Syllabus

Interpret and write code using variables
Recognize error messages in Python code
Demonstrate understanding of Python's core syntax rules
Translate simple algorithms to Python functions

Recognize and use basic data operators on Boolean
Interpret and write the correct syntax for conditionals
Recognize, interpret, and write programs with conditionals
Recognize and interpret programs with multiple interacting functions
Identify and solve programming errors through established debugging strategies

Recognize, interpret, and write programs using while loops and for loops
Apply indexes and slices to strings and lists to access individual parts
Recognize, interpret, and write programs that iterate through lists and strings with for loops
Evaluate provided test sets and write new test sets to verify that code works as expected

Recognize, interpret, and write programs with nested loops
Recognize and interpret basic recursive functions
Translate simple recursive algorithms to Python functions

Interpret and write code using operators, functions, and methods on strings and lists
Recognize and use common string and list methods
Identify the differences between mutable and immutable data types
Interpret documentation to find pre-existing methods that fulfill specific needs

Identify whether a problem can be solved by following an algorithm, applying a pattern
Use top-down design to break up medium-sized programming tasks into smaller pieces, solving each piece individually
Apply general style principles to write readable code

Express the efficiency of code snippets using well-established standards of abstraction
Recognize differences in algorithmic approaches based on computational efficiency
Identify differences in basic data structures, such as lists, sets, and dictionaries, based on computational efficiency
Interpret and write code using operators, functions, and methods on sets and dictionaries

Recognize object-oriented programming constructs, such as objects, classes, fields, and methods
Correctly structure code using object-oriented programming constructs

Interpret and write code that reads and writes data from files in the computer system
Interpret and use components from the documentation of Python libraries
Use online sources to find, compare, and install Python libraries