Search result for Exploratory data analysis with r Online Courses & Certifications
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Unsupervised Machine Learning
by Mark J Grover , Miguel Maldonado- 4.8
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Approx. 9 hours to complete
This course targets aspiring data scientists interested in acquiring hands-on experience with Unsupervised Machine Learning techniques in a business setting. 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....
Hands-on HR Analytics Course : Employee Satisfaction using R
by Unlock HR- 4.2
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3.5 hours on-demand video
A hands-on project to identify Critical Employee Satisfaction Attributes using Factor Analysis in R In this course you will learn to use a dimension reduction technique known as Exploratory Factor Analysis to address an important HR issue “Employee Satisfaction” End-to-end Statistical project on Employee Satisfaction Using Factor Analysis in R...
$9.99
Learn Apache Spark with Python
by Edulearners Technologies- 3.6
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8 hours on-demand video
Apache Spark is the hottest Big Data skill today. You might already know Apache Spark as a fast and general engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing. What makes Spark a power tool of Big Data and Data Science? Explore Spark SQL with CSV, JSON and mySQL (JDBC) data sources...
$12.99
Core skill for data science: learn dplyr package in R
by Dunk Chawannut- 3.5
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42 mins on-demand video
Master data manipulation task in R which is one of the most important tasks in data science cycle This course focus mainly on dplyr package which is one of the most amazing package in R that will make you life a lot easier when dealing with data manipulation task. Had a hard time trying to learn R ?...
$12.99
Data Science: R Basics
by Rafael Irizarry- 0.0
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8 Weeks
The first in our Professional Certificate Program in Data Science, this course will introduce you to the basics of R programming. We help you develop a skill set that includes R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with UNIX/Linux, version control with git and GitHub, and reproducible document preparation with RStudio....
$149
R Tidyverse Reporting and Analytics for Excel Users
by Jonathan Ng- 4.6
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5 hours on-demand video
There are a lot of great courses teaching R for statistical analysis and data science that can sometimes make R seem a bit too advanced for every day use. 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....
$12.99
Foundations of strategic business analytics
by Nicolas Glady- 4.4
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Approx. 8 hours to complete
You will find this course exciting and rewarding if you already have a background in statistics, can use R or another programming language and are familiar with databases and data analysis techniques such as regression, classification, and clustering. We'll also present you with different data analytics tools to be applied to different types of issues....
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Supervised Learning: Classification
by Mark J Grover , Miguel Maldonado- 4.9
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Approx. 11 hours to complete
This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Classification techniques in a business setting. 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: Classification
by Mark J Grover , Miguel Maldonado- 4.9
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Approx. 11 hours to complete
This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Classification techniques in a business setting. 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 Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.8
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Approx. 11 hours to complete
This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Regression techniques in a business setting. 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....
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