Search result for Exploratory data analysis with r Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 396 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
A Crash Course in Causality: Inferring Causal Effects from Observational Data
by Jason A. Roy, Ph.D.- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 18 hours to complete
Learners will have the opportunity to apply these methods to example data in R (free statistical software environment). Data example in R Data analysis project - analyze data in R using propensity score matching Data example in R Data analysis project - carry out an IPTW causal analysis IV analysis in R...
Market Segmentation Analysis
by Sara Dolnicar , Bettina Grün , Friedrich Leisch- 0.0
-
![]()
![]()
![]()
![]()
![]()
5 Weeks
This course begins with the decision to conduct market segmentation analysis and continues through to the final stages of evaluating the success of the strategy and monitoring the market for possible changes. You can replicate the calculations and visualisations demonstrated in the customer segmentation modelsby downloading the data and the R code....
$99
Data Analysis with R
by Moira Burke , Chris Saden , Solomon Messing , Dean Eckles- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 2 months
Data is everywhere and so much of it is unexplored. Learn how to investigate and summarize data sets using R and eventually create your own analysis. Start by learn about what exploratory data analysis (EDA) is and why it is important. As a final project you will create your own exploratory data analysis on a data set of your choice....
Free
AI Workflow: Data Analysis and Hypothesis Testing
by Mark J Grover , Ray Lopez, Ph.D.- 4.2
-
![]()
![]()
![]()
![]()
![]()
Approx. 11 hours to complete
In this course you will begin your work for a hypothetical streaming media company by doing exploratory data analysis (EDA). List several best practices concerning EDA and data visualization Describe strategies for dealing with missing data Apply several methods for dealing with multiple testing Data Analysis Why is Exploratory Data Analysis Necessary? Data Analysis Module Quiz...
Data Analysis with Python
by Joseph Santarcangelo- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 13 hours to complete
Learn how to analyze data using Python. Data Analysis with Python will be delivered through lecture, lab, and assignments. Data Analysis libraries: will learn to use Pandas, Numpy and Scipy libraries to work with a sample dataset. Understanding the Data Exploratory Data Analysis Exploratory Data Analysis Graded Quiz: Exploratory Data Analysis...
Data Science: Visualization
by Rafael Irizarry- 0.0
-
![]()
![]()
![]()
![]()
![]()
8 Weeks
Learn basic data visualization principles and how to apply them using ggplot2. As part of our Professional Certificate Program in Data Science, this course covers the basics of data visualization and exploratory data analysis. We'll also be looking at how mistakes, biases, systematic errors, and other unexpected problems often lead to data that should be handled with care....
$149
Statistical Inference and Modeling for High-throughput Experiments
by Rafael Irizarry , Michael Love- 0.0
-
![]()
![]()
![]()
![]()
![]()
4 Weeks
In this course you’ll learn various statistics topics including multiple testing problem, error rates, error rate controlling procedures, false discovery rates, q-values and exploratory data analysis. Data Analysis for Life Sciences: 1x: Statistics and R for the Life Sciences 4x: High-Dimensional Data Analysis Genomics Data Analysis: Exploratory Data Analysis for High throughput data...
$149
Related searches
Data Visualization in Tableau
by Mat Leonard- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 3 weeks
Data visualization skills are tremendously important in today’s data driven economy. Learn the fundamentals of data visualization and practice communicating with data. Learn to use data with integrity. lesson 3 Creating Visualizations with Tableau Do basic functions in Tableau like inputting data and building charts. Learn to use calculations to create new data columns....
Free
Data Science Capstone
by Jeff Leek, PhD , Roger D. Peng, PhD , Brian Caffo, PhD- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 6 hours to complete
The capstone project class will allow students to create a usable/public data product that can be used to show your skills to potential employers. Task 1 - Getting and cleaning the data Exploratory Data Analysis and Modeling Introduction to Task 2: Exploratory Data Analysis Task 2 - Exploratory Data Analysis Apply your exploratory data analysis skills...
Basics of Statistical Inference and Modelling Using R
by Elena Moltchanova- 0.0
-
![]()
![]()
![]()
![]()
![]()
6 Weeks
Basics of Statistical Inference and Modelling Using R is part one of the Statistical Analysis in R professional certificate. Exploratory data analysis and data visualisation using R. Analysis of Variance (ANOVA) and post-hoc tests using R. Multivariate analysis using linear regression and analysis of variance with covariates (ANCOVA)....
$249
Previous
