Search result for Exploratory data analysis definition Online Courses & Certifications
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Exploratory Data Analysis
by Roger D. Peng, PhD , Jeff Leek, PhD , Brian Caffo, PhD- 4.7
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Approx. 55 hours to complete
This course covers the essential exploratory techniques for summarizing data. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data. Exploratory Graphs (part 1) Exploratory Graphs (part 2) Welcome to Exploratory Data Analysis Exploratory Data Analysis with R Book Apply cluster analysis techniques to locate patterns in data...
Managing Data Analysis
by Jeff Leek, PhD , Brian Caffo, PhD , Roger D. Peng, PhD- 4.6
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Approx. 9 hours to complete
We describe the iterative nature of data analysis and the role of stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication. In addition, we will describe how to direct analytic activities within a team and to drive the data analysis process towards coherent and useful results. Exploratory Data Analysis Goals & Expectations Exploratory Data Analysis...
Applied Data Science Capstone
by Joseph Santarcangelo , Alex Aklson- 4.7
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Approx. 10 hours to complete
This capstone project course will give you a taste of what data scientists go through in real life when working with data. You will learn about location data and different location data providers, such as Foursquare. Exploratory Data Analysis (EDA) Exploratory Data Analysis Overview Check Points: Exploratory Analysis Using SQL Exploratory Data Analysis using SQL Exploratory Data Analysis...
Wrangling Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 4.8
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Approx. 14 hours to complete
This course covers many of the critical details about handling tidy and non-tidy data in R such as converting from wide to long formats, manipulating tables with the dplyr package, understanding different R data types, processing text data with regular expressions, and conducting basic exploratory data analyses. Exploratory Data Analysis Exploratory Data Analysis C​onduct basic exploratory data analysis...
Exploratory Data Analysis with MATLAB
by Erin Byrne , Michael Reardon , Maria Gavilan-Alfonso , Brandon Armstrong , Nikola Trica , Cris LaPierre , Adam Filion , Heather Gorr- 4.8
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Approx. 19 hours to complete
In this course, you will learn to think like a data scientist and ask questions of your data. Introduction to the Data Science Workflow Practical Data Science with MATLAB Overview of Exploratory Data Analysis with MATLAB Quiz 4: Exploratory Data Analysis Summary of Exploratory Data Analysis with MATLAB Covid-19 Data Analysis Challenge...
Data Science Capstone
by Jeff Leek, PhD , Roger D. Peng, PhD , Brian Caffo, PhD- 4.5
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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...
AI Workflow: Data Analysis and Hypothesis Testing
by Mark J Grover , Ray Lopez, Ph.D.- 4.2
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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 Data Analysis Introduction to Data Visualizations Why is Exploratory Data Analysis Necessary? Data Analysis Module Quiz...
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Data Processing and Feature Engineering with MATLAB
by Adam Filion , Michael Reardon , Maria Gavilan-Alfonso , Brandon Armstrong , Heather Gorr , Erin Byrne , Brian Buechel , Isaac Bruss , Matt Rich , Nikola Trica , Cris LaPierre- 4.7
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Approx. 18 hours to complete
In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB to lay the foundation required for predictive modeling. To be successful in this course, you should have some background in basic statistics (histograms, averages, standard deviation, curve fitting, interpolation) and have completed Exploratory Data Analysis with MATLAB....
Data Analysis with Python
by Joseph Santarcangelo- 4.7
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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...
Statistics with R Capstone
by Merlise A Clyde , Colin Rundel , David Banks , Mine Çetinkaya-Rundel- 4.6
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Approx. 6 hours to complete
A large and complex dataset will be provided to learners and the analysis will require the application of a variety of methods and techniques introduced in the previous courses, including exploratory data analysis through data visualization and numerical summaries, statistical inference, and modeling as well as interpretations of these results in the context of the data and the research question....
