Are you ready to take your programming skills to the next level? Learn how to code complex data with the Software Development MicroMasters program. This course will teach you how to capture common data and control structures using abstraction, design search programs, and even solve Sudoku puzzles. With staff grading and increased interaction with the instructor and staff, you'll be able to write well-structured and well-tested code that is easy to maintain. Sign up today and take your programming skills to the next level!
What is Data Science ?
3.0
Udemy21,500 learners
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Data Science is a field of study that combines mathematics, statistics, and computer science to extract knowledge and insights from structured and unstructured data. It is a multidisciplinary approach to uncovering patterns and correlations in data sets to help organizations make better decisions. Data Science involves the use of algorithms, machine learning, and artificial intelligence to analyze data and draw meaningful conclusions. It also involves the use of data visualization techniques to present the results in an easy-to-understand format. Data Science is an essential tool for businesses to gain insights into their customers, products, and operations.
How to Code: Simple Data
3.5
Edx1,757 learners
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Learn to code with ease! This course, part of the Software Development MicroMasters Program, focuses on a systematic programming method rather than a programming language. You'll learn to develop program requirements, produce programs with consistent structure, and make your programs more reliable with tests. Plus, you'll design a simple interactive game. Enroll in the Verified track to receive staff grading and increased interaction with the instructor and staff. Don't take our word for it - edX Learner says it's the best course they've taken!
Data Structures: An Active Learning Approach
5.0
Edx6,039 learners
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This course offers an interactive and engaging approach to learning data structures and their applications. Through the use of "STOP and Think" questions, "Exercise Breaks", and "Code Challenges", students will gain a comprehensive understanding of the concepts and algorithms covered. With language-agnostic theory and algorithm analysis, students of all levels can benefit from this course.
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