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A Practical Introduction to Test-Driven Development
by Doug Purcell- 0.0
Approx. 15 hours to complete
Topics will also cover translating user specs into unit tests, applying the Red-Green-Refactor mantra, and applying mocks in python with the unittest. Course Introduction Unit Testing best practices Unit testing best practices...
Machine Learning for Data Analysis
by Jen Rose , Lisa Dierker- 4.2
Approx. 10 hours to complete
This course helps you do just that! Machine learning is the process of developing, testing, and applying predictive algorithms to achieve this goal. Building on Course 3, which introduces students to integral supervised machine learning concepts, this course will provide an overview of many additional concepts, techniques, and algorithms in machine learning, from basic classification to decision trees and clustering....
Functional Programming Principles in Scala
by Martin Odersky- 4.8
Approx. 45 hours to complete
In this course you will discover the elements of the functional programming style and learn how to apply them usefully in your daily programming tasks. The course is complemented by a series programming projects as homework assignments. Course Introduction 1 - More Functions on Lists 7 - A Larger Equational Proof on Lists...
IBM AI Engineering Professional Certificate
- 0.0
Through hands-on projects, you’ll gain essential data science skills scaling machine learning algorithms on big data using Apache Spark....
Computational Thinking for Problem Solving
by Susan Davidson- 4.7
Approx. 18 hours to complete
In this course, you will learn about the pillars of computational thinking, how computer scientists develop and analyze algorithms, and how solutions can be realized on a computer using the Python programming language. Applied Computational Thinking Using Python Programming on the Coursera Platform Project Part 4: Implementing the Solution in Python...
Functional Programming Principles in Scala
by Martin Odersky- 4.8
Approx. 41 hours to complete
The course is hands-on; most units introduce short programs that serve as illustrations of important concepts and invite you to play with them, modifying and improving them. The course is complemented by a series of programming projects as homework assignments. Course Introduction Working on Assignments...
Python for Absolute Beginners | Python Beginner to Pro 2021
by 365 Careers- 4.7
14 hours on-demand video
This Python course is different. · Practice, practice, practice – the course contains dozens of exercises to help you master the Python programming concepts covered in the lessons The creation of a Python course has been an ambition of ours for quite some time. This is very important as you learn Python best by doing it...
$20.99
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Google IT Support Professional Certificate
- 0.0
Get professional training designed by Google and get on the fast-track to a competitively paid job. employers, including Walmart, Best Buy, and Astreya. If you’re interested in building on your IT foundations, check out the Google IT Automation with Python Professional Certificate....
Advanced Machine Learning and Signal Processing
by Romeo Kienzler , Nikolay Manchev- 4.5
Approx. 27 hours to complete
>>> By enrolling in this course you agree to the End User License Agreement as set out in the FAQ. Then we introduce the most popular Machine Learning Frameworks for python Scikit-Learn and SparkML. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge....
Probability Theory, Statistics and Exploratory Data Analysis
by Ilya V. Schurov- 4.7
Approx. 22 hours to complete
This course introduces you to the necessary sections of probability theory and statistics, guiding you from the very basics all way up to the level required for jump starting your ascent in Data Science. This course requires basic knowledge in Discrete mathematics (combinatorics) and calculus (derivatives, integrals). Rules on the academic integrity in the course...