Search result for Python and r programming Online Courses & Certifications
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Engineering Practices for Building Quality Software
by Kevin Wendt- 4.5
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Approx. 18 hours to complete
Agile embraces change which means that team should be able to effectively make changes to the system as team learns about users and market. To be good at effectively making changes to the system, teams need to have engineering rigor and excellence else embracing change becomes very painful and expensive. Introduction to Patterns and the Observer Pattern...
Introduction to Serverless on Kubernetes
by Alex Ellis- 0.0
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7 Weeks
You will build functions using Python and learn how to configure them, manage secrets, add dependencies via pip, learn how to work with binary data, and add authentication. definition and Kubernetes. Explore the OpenFaaS toolchain, including: UI, CLI and REST API. Explore the OpenFaaS ecosystem, including the template store and function store for sharing functions and code templates....
$199
Specialized Models: Time Series and Survival Analysis
by Mark J Grover , Miguel Maldonado- 4.5
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Approx. 11 hours to complete
This course targets aspiring data scientists interested in acquiring hands-on experience with Time Series Analysis and Survival Analysis. To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Supervised Machine Learning, Unsupervised Machine Learning, Probability, and Statistics....
Supervised Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.8
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Approx. 11 hours to complete
You will learn how to train regression models to predict continuous outcomes and how to use error metrics to compare across different models. To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics....
Supervised Machine Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.7
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Approx. 11 hours to complete
You will learn how to train regression models to predict continuous outcomes and how to use error metrics to compare across different models. To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics....
Fundamentals of Scalable Data Science
by Romeo Kienzler- 4.3
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Approx. 20 hours to complete
In this course we teach you the fundamentals of Apache Spark using python and pyspark. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge. • Recognize data characteristics, patterns, trends, deviations or inconsistencies, and potential outliers. • Basic programming skills in python Programming language options and functional programming...
UDP Socket Programming For Distributed Computing in C#.Net
by Naeem Akram- 4.4
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3 hours on-demand video
Net, distributed applications & network programming for IoT/VoIP Net socket programming with UDP sockets in a hands on and easy fashion. The first sections of this course cover the basics of computer networking, and UDP socket programming in CSharp dot Net necessary for network and socket programming. You will also learn how to convert between string and byte data types....
$12.99
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The Django Bible™ | Python for Web Developer
by Sachin Kafle- 4.4
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41.5 hours on-demand video
2 and plus! In this course, I will take you through the basics of python through Django basics and all the way of creating real-world web applications. Django is an open-source python web framework used for rapid development, pragmatic, maintainable, clean design, and secures websites. Basic Python course Highlights: Installing Python...
$11.99
Unsupervised Learning
by Mark J Grover , Miguel Maldonado- 4.9
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Approx. 9 hours to complete
Explain the curse of dimensionality, and how it makes clustering difficult with many features To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics. Introduction to Unsupervised Learning and K Means...
Unsupervised Machine Learning
by Mark J Grover , Miguel Maldonado- 4.8
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Approx. 9 hours to complete
Explain the curse of dimensionality, and how it makes clustering difficult with many features To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics. Introduction to Unsupervised Learning and K Means...
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