Online Course Highlights

New York University via Edx
Learn for FREE, Up-gradable
Length: 9 Weeks
Effort: 6–8 hours per week
Skill Level: Mixed
Language: English

This is a self-paced course that provides an Introduction to Computing and Programming. The course will address the following topics, using the Python programming language:

Positional number systems
Hello World
Numerical data types and arithmetic expressions
Branching statements
Iterative statements [Loops]
Strings
Functions
Lists [Array-based sequences]

What you’ll learn

By the end of this course students should be able to:

understand binary number systems and conversion to other number systems
understand hexadecimal number systems and conversion to other number systems
apply numeric and string data types to represent information
apply variables in program development
analyze assignment and apply its components in program development
apply basic I/O operations with different data types
design expressions using arithmetic operations (including understanding their limitations, such as integer truncation, round-off error, division by zero, narrowing and widening conversions, casting, precedence, and standard math library functions)
design expressions using relational operators (including understanding floating point equality)
design expressions using logical operators (including short-circuit)
design selection statements (including nested selection)
design repetition statements (including count-controlled versus event-controlled, sentinel-controlled)
design simple data structures using lists (including using loops with lists and multi-dimensional lists

Syllabus

Course Outline:

Week 1 – Positional number systems
Week 2 – Hello World
Week 3 – Numerical data types and arithmetic expressions
Week 4 – Branching statements
Week 5 – Iterative statements [Loops]
Week 6 – Strings
Week 7 – Functions
Week 8 – Lists [Array-based sequences]
Week 9 – Exam

More Related Courses:

Data Visualization for All (Course not available)

Trinity College via edX
6 Weeks of effort required
Skill Level: Introductory
★★★★★

Data Visualization and Communication with Tableau

Duke University via Coursera
25 hours of effort required
131,528 students enrolled!
★★★★★ (2,269 Ratings)
This Course is Part of Excel to MySQL: Analytic Techniques for Business Specialization

Fundamentals of Visualization with Tableau

University of California Davis via Coursera
72 hours of effort required
42,683 students enrolled!
★★★★★ (7,177 Ratings)
This Course is Part of Data Visualization with Tableau Specialization

Your Feedback:

There are no reviews yet. Be the first one to write one.

0.0

0.0 out of 5 stars (based on 0 reviews)

Excellent0%

Very good0%

Average0%

Poor0%

Terrible0%

Basics of Computing and Programming