Search result for Data storage and analysis Online Courses & Certifications
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Bayesian Statistics: From Concept to Data Analysis
by Herbert Lee- 4.6
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Approx. 12 hours to complete
This course introduces the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data. Completion of this course will give you an understanding of the concepts of the Bayesian approach, understanding the key differences between Bayesian and Frequentist approaches, and the ability to do basic data analyses. Priors and Models for Discrete Data...
Computing for Data Analysis
by Richard (Rich) Vuduc- 0.0
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15 Weeks
A hands-on introduction to basic programming principles and practice relevant to modern data analysis, data mining, and machine learning. The modern data analysis pipeline involves collection, preprocessing, storage, analysis, and interactive visualization of data. For instance, “under the hood” of modern data analysis lies numerical linear algebra, numerical optimization, and elementary data processing algorithms and data structures....
$825
Data Science Project: MATLAB for the Real World
by Michael Reardon , Brandon Armstrong , Erin Byrne , Adam Filion , Heather Gorr , Maria Gavilan-Alfonso , Matt Rich , Isaac Bruss- 4.8
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Approx. 13 hours to complete
Like most subjects, practice makes perfect in Data Science. In the capstone project, you will apply the skills learned across courses in the Practical Data Science with MATLAB specialization to explore, process, analyze, and model data. Import and Explore the Data Data and Code Files Tasks for Exploring and Cleaning the Taxi Data...
Six Sigma Tools for Analyze
by Christina Scherrer, PhD , David Cook, PhD , Gregory Wiles, PhD , Bill Bailey, PhD- 4.7
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Approx. 8 hours to complete
You will learn about lean tools for process analysis, failure mode and effects analysis (FMEA), measurement system analysis (MSA) and gauge repeatability and reproducibility (GR&R), and you will be introduced to basic statistics. This course will outline useful measure and analysis phase tools and will give you an overview of statistics as they are related to the Six Sigma process....
Foundations of Public Health Practice: The Public Health Toolkit
by Dr Richard J Pinder- 4.5
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Approx. 14 hours to complete
The Foundations of Public Health Practice: The Public Health Toolkit builds on public health thinking (introduced in the previous course) and introduces a variety of core public health approaches (the toolkit) to conceptualising problems, conducting analysis and bringing forward recommendations. Routinely collected data and metadata Non-routinely collected data (surveys and validated instruments)...
Measuring the Success of a Patient Safety or Quality Improvement Project (Patient Safety VI)
by Matt Austin- 4.6
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Approx. 6 hours to complete
Equally important, they will learn which data sources provide the most meaningful information and tools for how and where to locate them. Specifying a Performance Measure and Common Data Source for Measurement Interpreting Data and Telling Data's Story From Data to Action and Iteration Identify those data that are useful for monitoring and evaluating quality improvement projects....
Getting and Cleaning Data
by Jeff Leek, PhD , Roger D. Peng, PhD , Brian Caffo, PhD- 4.6
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Approx. 20 hours to complete
The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various formats. It will also cover the basics of data cleaning and how to make data “tidy”. Tidy data dramatically speed downstream data analysis tasks. Understand common data storage systems Obtain usable data from the web, APIs, and databases...
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Exploratory Data Analysis for Machine Learning
by Mark J Grover , Miguel Maldonado- 4.6
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Approx. 8 hours to complete
You will learn common techniques to retrieve your data, clean it, apply feature engineering, and have it ready for preliminary analysis and hypothesis testing. This course targets aspiring data scientists interested in acquiring hands-on experience with Machine Learning and Artificial Intelligence in a business setting. Retrieving Data, Exploratory Data Analysis, and Feature Engineering...
Hands-on HADOOP Masterclass - Tame the Big Data!
by EDU CBA- 3.3
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67.5 hours on-demand video
Big data deals with all types of data including structured, semi-structured and unstructured data. Big data has become very important and it is emerging as one of the crucial technologies in today’s world. Using the information provided through Big data companies can deliver better and quick service to their customers Low cost storage and active data archive...
$9.99
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....
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