Search result for Data storage and analysis Online Courses & Certifications
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Analyze Datasets and Train ML Models using AutoML
by Antje Barth , Shelbee Eigenbrode , Sireesha Muppala , Chris Fregly- 4.6
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Approx. 14 hours to complete
In the first course of the Practical Data Science Specialization, you will learn foundational concepts for exploratory data analysis (EDA), automated machine learning (AutoML), and text classification algorithms. Practical Data Science Use case and data set Data ingestion and exploration Data visualization Week 2: Data Bias and Feature Importance Use cases and algorithms...
Introduction to Accounting Data Analytics and Visualization
by Ronald Guymon- 4.8
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Approx. 19 hours to complete
We then present a FACT framework for guiding big data analytics: Frame a question, Assemble data, Calculate the data, and Tell others about the results. Using financial statement data, we explain desirable characteristics of both data and datasets that will lead to effective calculations and visualizations. MODULE 3: DATA AND ITS PROPERTIES 3 Data Analysis ToolPak and Descriptive Statistics...
Predictive Modeling and Analytics
by Dan Zhang- 3.6
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Approx. 11 hours to complete
Welcome to the second course in the Data Analytics for Business specialization! You will learn how to carry out exploratory data analysis to gain insights and prepare data for predictive modeling, an essential skill valued in the business. Exploratory Data Analysis and Visualizations Why Exploratory Data Analysis is Important Data Cleanup and Transformation...
Data Management for Clinical Research
by Stephany Duda, PhD , Paul Harris, PhD- 4.7
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Approx. 17 hours to complete
This course presents critical concepts and practical methods to support planning, collection, storage, and dissemination of data in clinical research. Understanding and implementing solid data management principles is critical for any scientific domain. Research Data Planning 1 Data Standards: Basic Concepts and Overview Baseline Data and Demographics Survey Testing, Administration, and Analysis...
Understanding Clinical Research: Behind the Statistics
by Juan H Klopper- 4.8
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Approx. 27 hours to complete
Greater confidence in understanding statistical analysis and the results can benefit both working professionals and those undertaking research themselves. Observing and intervening: Observational & experimental studies Measurements and numbers: Numerical data types Type I and II: Hypothesis testing errors Key notes: Null and alternative hypothesis Categorical data and analyzing accuracy of results...
Real-Time Mission-Critical Systems Design
by Sam Siewert- 0.0
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Approx. 50 hours to complete
Upon completion of this course the learner will know the difference between systems you can bet your life on (mission critical) and those which provide predictable response and quality of service (reliable). Course Goals and Learning Objectives Drivers and Device Interfaces Key Differences between Linux and RTOS Drivers Fault Tolerant Memory and Storage for Mission Critical Systems...
Palo Alto Networks Cybersecurity Gateway II
by James Dalton- 4.7
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Approx. 16 hours to complete
Gateway II Course Information - Textbook and Work Roles IMPORTANT: NDG LAB SETUP AND ENROLLMENT Gateway II: Module 2 - Cybersecurity Landscape and Threats Reading: Cybersecurity Landscape and Threats Gateway II: Module 3 - Cloud, Virtualization and Storage Security Video: IaaS and SaaS Reading: Cloud, Virtualization and Storage Security Data and Network Appliance Backups...
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Advanced Search Engine Optimization Strategies
by Dave Lloyd- 4.5
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Approx. 25 hours to complete
This course focuses on technical, mobile and social strategies for increasing site traffic. Compare Website Performance and Analysis Tools Find and Fix Technical Issues on Your Website Interpret and Use Data to Competitive Benefit Overcome Common Mistakes & Errors in Data Analysis Measure What Matters with Data Analysis Tools Conduct data analysis to bring value to stakeholders...
Linear Regression for Business Statistics
by Sharad Borle- 4.8
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Approx. 28 hours to complete
Regression Analysis is perhaps the single most important Business Statistics tool used in the industry. Regression is the engine behind a multitude of data analytics applications used for many forms of forecasting and prediction. Regression Analysis: Hypothesis Testing and Goodness of Fit A Regression Application Using Refrigerator data A Regression Application Using Refrigerator data (continued....
Analytical Solutions to Common Healthcare Problems
by Brian Paciotti- 4.4
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Approx. 11 hours to complete
I will review these business problems and you’ll build out various data structures to organize your data. We’ll then explore ways to group data and categorize medical codes into analytical categories. Data Mining and Predictive Modeling - Part 1 Data Mining and Predictive Modeling - Part 2 Extracting Data for Analysis...
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