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Algorithms, Data Collection, and Starting to Code

Approx. 15 hours to complete

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Course Summary

This course is designed to teach students about algorithms, data collection, and coding. It covers essential topics such as data structures, sorting algorithms, and graph algorithms, and provides hands-on experience with programming assignments.

Key Learning Points

Learn about different algorithms and their applications
Understand data structures and how to use them
Gain experience with programming assignments

Job Positions & Salaries of people who have taken this course might have

- USA: $82,000
- India: ₹6,00,000
- Spain: €36,000
- USA: $82,000
- India: ₹6,00,000
- Spain: €36,000
- USA: $60,000
- India: ₹4,50,000
- Spain: €26,000
- USA: $82,000
- India: ₹6,00,000
- Spain: €36,000
- USA: $60,000
- India: ₹4,50,000
- Spain: €26,000
- USA: $96,000
- India: ₹7,00,000
- Spain: €42,000

Learning Outcomes

Understand the fundamentals of algorithms and data structures
Gain hands-on experience with programming assignments
Learn how to apply algorithms to solve real-world problems

Prerequisites or good to have knowledge before taking this course

Basic knowledge of programming concepts
Familiarity with a programming language such as Python or Java

Course Difficulty Level

Intermediate

Course Format

Online
Self-paced
Video Lectures

Similar Courses

Data Structures and Algorithms Specialization
Algorithmic Toolbox
Introduction to Algorithms and Data Structures in C++

Related Education Paths

Notable People in This Field

Donald Knuth
Cormen, Leiserson, Rivest, and Stein
Robert Sedgewick

Related Books

Description

This course starts you on your journey learning about computational thinking and beginning C programming. If you’d like to explore how we can interact with the world in a rigorous, computational way, and would also like to start learning to program, this is the course for you!

You may have heard lots of talk about computational thinking recently, but if you ask 10 different people what it is you’ll probably get 10 different answers. Rather than trying to define computational thinking, we’ll just say it’s a problem-solving process that includes lots of different components. In this course, we’ll explore algorithms and data collection. Most people have a better understanding of what beginning C programming means! You’ll start learning how to develop C programs in this course by writing your first C program; learning about data types, variables, and constants; and honing your C programming skills by implementing a variety of STEM computations. This course doesn't assume you have any previous programming experience, so don't worry if you've never written code before. If that all sounds interesting to you, go ahead and jump into the course! Caution: Beginning (assuming no prior programming knowledge) is not the same as easy (not hard to do). Learning to program IS hard to do, especially since the courses in this specialization are built from a freshman-level college course. Meeting the course challenges while you master the material will be rewarding to you, but doing that will require hard work and maybe even a few expletives along the way. Module 1: Learn about algorithms and write your first C program Module 2: Discover how we store data in our programs Module 3: Explore how we use data collection to solve problems and answer questions Module 4: Practice writing C programs to implement STEM computations

Outline

Algorithms and Starting to Code
Course Introduction
Navigating a Coursera Course
Meet the Instructor (optional)
Lesson Introduction
Find the Queen
Nom Nom Nom
Lesson Introduction
Installing Visual Studio on Windows
Installing Xcode on a Mac
Your First C Program
Your First C Program in Xcode
Fun with Algorithms Topic Understanding Check
Running Your Integrated Development Environment
Exercise 1: Console Output
Starting to Code Lecture Code
It's Elemental Solution

Data Types, Variables, and Constants
Lesson Introduction
Bits and Bytes
Data Types, Variables, and Constants
Integer Data Types
Floating-Point Data Types
The Char Data Type
The Bool Data Type
User-Defined Data Types
Exercise 2: Integer Variables and Operations
Exercise 3: Floating-Point Variables and Operation
Exercise 4: Floating-Point Calculations
Exercise 5: User-Defined Data Types
Data Types, Variables, and Constants Lecture Code
Doing Some Math Solution

Data Collection and More Algorithms
Lesson Introduction
Data Collection Problems
Deciding What Data to Collect
Finding the Data
Storing the Collected Data
Data Collection Activity
Lesson Introduction
How Do I Get There?
The Caesar Cipher
Data Collection Topic Understanding Check
Data Collection Practice Quiz
Data Collection Graded Quiz

STEM Computations
Lesson Introduction
Floors and Ceilings
How Far Do We Have To Go?
Speed and Direction
Velocity
Finishing Up
Exercise 6: Energetic Einstein
STEM Computations Lecture Code
Ready Aim Fire Solution

Summary of User Reviews

Read reviews of Algorithms, Data Collection & Code on Coursera. Rated highly by users, this course is praised for its practical approach and applicability to real-world scenarios.

Key Aspect Users Liked About This Course

practical approach

Pros from User Reviews

Practical and applicable to real-world scenarios
Good balance between theory and practice
Excellent course structure and organization
Engaging and knowledgeable instructors
Great community support and resources

Cons from User Reviews

Some assignments are too difficult for beginners
Lack of hands-on coding exercises
Limited interaction with instructors
Not enough emphasis on certain topics
Some lectures are too long and tedious

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