Search result for Coursera python for everybody Online Courses & Certifications
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Functional Programming Principles in Scala
by Martin Odersky- 4.8
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Approx. 45 hours to complete
This trend is driven by the adoption of Scala as the main programming language for many applications. It provides the core infrastructure for sites such as Twitter, Tumblr and also Coursera. Tools Setup for Linux Tools Setup for Mac OS X Tools Setup for Windows...
Functional Programming Principles in Scala
by Martin Odersky- 4.8
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Approx. 41 hours to complete
This trend is driven by the adoption of Scala as the main programming language for many applications. It provides the core infrastructure for sites such as Twitter, Netflix, Zalando, and also Coursera. You will also develop a solid foundation for reasoning about functional programs, by touching upon proofs of invariants and the tracing of execution symbolically....
IBM Machine Learning Professional Certificate
- 0.0
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Although it is recommended that you have some background in Python programming, statistics, and linear algebra, this intermediate series is suitable for anyone who has some computer skills, interest in leveraging data, and a passion for self-learning....
Machine Learning with Python
by SAEED AGHABOZORGI , Joseph Santarcangelo- 4.7
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Approx. 21 hours to complete
By just putting in a few hours a week for the next few weeks, this is what you’ll get. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge upon successful completion of the course. Python for Machine Learning OPTIONAL: Signing-up for a Watson Studio Account...
IBM AI Engineering Professional Certificate
- 0.0
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To stay competitive, organizations need qualified AI engineers who use cutting-edge methods like machine learning algorithms and deep learning neural networks to provide data driven actionable intelligence for their businesses....
Advanced Machine Learning and Signal Processing
by Romeo Kienzler , Nikolay Manchev- 4.5
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Approx. 27 hours to complete
Then we introduce the most popular Machine Learning Frameworks for python Scikit-Learn and SparkML. We’ll continuously use a real-life example from IoT (Internet of Things), for exemplifying the different algorithms. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge. Bayesian inference in Python...
Probability Theory, Statistics and Exploratory Data Analysis
by Ilya V. Schurov- 4.7
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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. Python for conditional probabilities Generating and visualizing continuous random variables with Python Generating correlated random variables with Python...
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A Beginner's Guide to Machine Learning (in Python)
by Curiosity for Data Science- 4.7
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3.5 hours on-demand video
Learn supervised learning for structured data, and implement them using Python programming Ask for a 30-day refund!! 2) "The instructor gives a very basic explanation for complicated material. that makes it very easy for me to understand given that I already studied that in a master class but I understand it better here....
$11.99
Fundamentals of Scalable Data Science
by Romeo Kienzler- 4.3
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Approx. 20 hours to complete
Apache Spark is the de-facto standard for large scale data processing. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge. • Identify useful techniques for working with big data such as dimension reduction and feature selection methods For successful completion of the course, the following prerequisites are recommended:...
IBM Data Science Professional Certificate
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Build data science skills, learn Python & SQL, analyze & visualize data, build machine learning models. Data science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data driven decisions has never been greater....
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