Search result for Exploratory data analysis methods Online Courses & Certifications
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Matrix Methods
by Daniel Boley- 4.1
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Approx. 7 hours to complete
Mathematical Matrix Methods lie at the root of most methods of machine learning and data analysis of tabular data. Matrix: Tabular Data SVD as a Data Analytics Tool...
Cluster Analysis
by Dragan Gašević , Vitomir Kovanović , Srećko Joksimović- 0.0
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3 Weeks
Learn how to conduct a cluster analysis to discover important patterns in student behavior using the popular Weka data mining toolkit. In this course, you will learn the basics of cluster analysis, one of the most popular data mining methods for the discovery of patterns in learning data, and its application in learning analytics....
$99
Visualizing Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 0.0
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Approx. 17 hours to complete
Data visualization is a critical part of any data science project. Similarly, once you’ve completed your analysis and are ready to present your findings, data visualizations are a highly effective way to communicate your results to others. Getting the Data in Order An Exploratory Table Exploratory Data Analysis (EDA) Exploratory Data Analysis (EDA)...
MongoDB Aggregation Framework
by Nathan Leniz , Kirby Kohlmorgen- 4.6
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Approx. 19 hours to complete
This course will teach you how to perform data analysis using MongoDB's powerful Aggregation Framework. This will lay the groundwork for the remainder of the course where you'll dive deep and learn about schema design, relational data migrations, and machine learning with Cursor Like Methods Stages: Part 1 Cursor Like Methods Stages: Part 2...
Statistical Thinking for Industrial Problem Solving, presented by JMP
by Mia Stephens , Ledi Trutna- 4.8
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Approx. 44 hours to complete
By completing this course, students will understand the importance of statistical thinking, and will be able to use data and basic statistical methods to solve many real-world problems. Introduction to Exploratory Data Analysis Summary of Exploratory Data Analysis Tools Module 2B: Exploratory Data Analysis, Part 2 Summary - Exploratory Data Analysis...
Data Management and Visualization
by Lisa Dierker- 4.4
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Approx. 12 hours to complete
By the end of the course, you will be able to use powerful data analysis tools – either SAS or Python – to manage and visualize your data, including how to deal with missing data, variable groups, and graphs. SAS Lesson 1 - Defining exploratory data analysis Python Lesson 1 - Defining Exploratory Data Analysis...
Spatial Data Science and Applications
by Joon Heo- 4.4
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Approx. 12 hours to complete
Consequently, they are bound to hire more and more spatial data scientists. 1 Introduction to Spatial Data Science (III) - A Data Perspective Understanding Spatial Data Science Spatial Data Analysis Spatial Data Analytics II - Military Infiltration Route Analysis Spatial Big Data Management and Analytics - Taxi Trajectory Analysis for Finding Pick-up Hotspots...
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Machine Learning for Data Analysis
by Jen Rose , Lisa Dierker- 4.2
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Approx. 10 hours to complete
By completing this course, you will learn how to apply, test, and interpret machine learning algorithms as alternative methods for addressing your research questions. Course Data Sets Uploading Your Own Data to SAS Data Set for Decision Tree Videos (tree_addhealth. Data Management for Lasso Regression in Python K-Means Cluster Analysis Running a k-Means Cluster Analysis in SAS, pt....
Big Data Science with the BD2K-LINCS Data Coordination and Integration Center
by Avi Ma’ayan, PhD- 4.8
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Approx. 9 hours to complete
We then present data processing and normalization methods to clean and harmonize LINCS data. Most importantly, the course covers computational methods including: data clustering, gene-set enrichment analysis, interactive data visualization, and supervised learning. LINCS Data and Signature Generation Centers BD2K-LINCS Data Coordination and Integration Center Introduction to LINCS L1000 Data Serving Data with APIs...
Machine Trading Analysis with Python
by Diego Fernandez- 3.3
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6 hours on-demand video
Learn machine trading analysis through a practical course with Python programming language using S&P 500® Index ETF historical data for back-testing. At first, you’ll learn how to read or download S&P 500® Index ETF prices historical data to perform machine trading analysis operations by installing related packages and running code on Python IDE....
$12.99
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