Search result for Statistical programming Online Courses & Certifications
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Practical Foundations of R Programming
by Geoffrey Hubona, Ph.D.- 4.4
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8 hours on-demand video
The basics of programming in R: R data structures; R subsetting operations; and R functions Practical Foundations of R Programming is the first course of a learning path that teaches critical foundation skills necessary to create quality code using the free and open-access R programming language....
$11.99
Learn Microsoft SQL Server
by Fiach Reid- 0.0
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6 hours on-demand video
You'll quickly learn how to write queries to filter and sort data, to group and summarize data, to run statistical queries on the data. And to wrap up, we teach you how to connect to SQL server from four different programming languages, Microsoft C# ....
$12.99
Fast track to ML, Data Science and Steganography
by Dipnarayan Das- 0.0
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39 mins on-demand video
- General / Statistical Measures...
$12.99
Analyze Datasets and Train ML Models using AutoML
by Antje Barth , Shelbee Eigenbrode , Sireesha Muppala , Chris Fregly- 4.6
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Approx. 14 hours to complete
With Amazon SageMaker Clarify and Amazon SageMaker Data Wrangler, you will analyze a dataset for statistical bias, transform the dataset into machine-readable features, and select the most important features to train a multi-class text classifier. Statistical bias Statistical bias causes Measuring statistical bias Detecting statistical bias Detect statistical bias with Amazon SageMaker Clarify...
Python : Comprehensive Bootcamp (Beginner To Professional)
by Bluelime Learning Solutions- 4.4
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36 hours on-demand video
Python is a dynamic modern object -oriented programming language and can be used to do a lot of things both big and small. It is also known as a general purpose programming language due to it's flexibility. Python is an interpreted language that does not need to be complied like for example java programming language. Python Object Oriented Programming...
$14.99
Fundamentals of Scalable Data Science
by Romeo Kienzler- 4.3
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Approx. 20 hours to complete
Through this exercise you'll also be introduced to the most fundamental statistical measures and data visualization technologies. • Describe how basic statistical measures, are used to reveal patterns within the data • Basic programming skills in python IMPORTANT: How to submit your programming assignments Programming language options on ApacheSpark Functional programming basics...
R Tidyverse Reporting and Analytics for Excel Users
by Jonathan Ng- 4.6
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5 hours on-demand video
One of the key benefits of Excel is that you are working directly with the data without having to go through the complexity and overhead of using a programming language. Programming languages such as VBA are actually very difficult for working with data as there isn't even any concise way of referencing common data elements such as named table columns....
$12.99
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Advanced Bioconductor
by Rafael Irizarry , Michael Love- 0.0
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4 Weeks
Note that the statistics and programming aspects of the class ramp up in difficulty relatively quickly across the first three courses. By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research concepts....
$149
Statistics Primer for Data Scientist's
by Sai Acuity Institute of Learning Pvt Ltd Enabling Learning Through Insight!- 4.2
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3 hours on-demand video
“Data Scientist is a person who is better at statistics than any programmer and better at programming than any statistician. Programming (Python & R) We recommend all our students to learn both the programming languages and use them where appropriate since many Data Science teams today are bilingual, leveraging both R and Python in their work....
$12.99
Introduction to Statistics & Data Analysis in Public Health
by Alex Bottle- 4.7
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Approx. 16 hours to complete
No knowledge of R or programming is assumed. Introduction to Statistical Thinking for Public Health Select and apply appropriate methods to formulate and examine statistical associations between variables within a data set in R...
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