Data Analysis and Representation, Selection and Iteration free videos and free material uploaded by University of Colorado System Staff .
DATA ANALYSIS
Selection
Data Representation
Iteration
This course is the second course in the specialization exploring both computational thinking and beginning C programming Rather than trying to define computational thinking, we’ll just say it’s a problem-solving process that includes lots of different components Most people have a better understanding of what beginning C programming means!
This course assumes you have the prerequisite knowledge from the previous course in the specialization You should make sure you have that knowledge, either by taking that previous course or from personal experience, before tackling this course The required prerequisite knowledge is listed below
Prerequisite computational thinking knowledge: Algorithms and procedures, data collectionPrerequisite C knowledge: Data types, variables, constants, and STEM computations
Throughout this course you'll learn about data analysis and data representation, which are computational thinking techniques that help us understand what sets of data have to tell us For the programming topics, you'll continue building on your C knowledge by implementing selection, which lets us decide which code to execute, and iteration (or looping), which lets us repeat chunks of code multiple times
Module 1: Learn about some common statistics we can calculate as we analyze sets of data
Module 2: Discover how we make decisions in our code
Module 3: Explore the various ways we can represent sets of data Module 4: Use iteration (looping) to repeat actions in your code
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