Search result for Data storage and analysis Online Courses & Certifications
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Data Science in Real Life
by Brian Caffo, PhD , Jeff Leek, PhD , Roger D. Peng, PhD- 4.4
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Approx. 7 hours to complete
Describe possible pitfalls when pulling / assembling data and learn solutions for managing data pulls. Challenge statistical modeling assumptions and drive feedback to data analysts Get a glimpse into a day in the life of a data analysis manager. The course will be taught at a conceptual level for active managers of data scientists and statisticians....
Maps and the Geospatial Revolution
by Dr. Anthony C. Robinson- 4.7
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Approx. 20 hours to complete
We will explore what makes spatial information special, how spatial data is created, how spatial analysis is conducted, and how to design maps so that they’re effective at telling the stories we wish to share. To gain experience using this knowledge, we will work with the latest mapping and analysis software to explore geographic problems....
Structuring Machine Learning Projects
by Andrew NgTop Instructor , Younes Bensouda MourriTop Instructor , Kian KatanforooshTop Instructor- 4.8
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Approx. 6 hours to complete
In the third course of the Deep Learning Specialization, you will learn how to build a successful machine learning project and get to practice decision-making as a machine learning project leader. Satisficing and Optimizing Metric Size of the Dev and Test Sets When to Change Dev/Test Sets and Metrics? Bias and Variance with Mismatched Data Distributions...
Data Analysis with R Programming
by Google Career CertificatesTop Instructor- 4.8
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Approx. 37 hours to complete
This course is the seventh course in the Google Data Analytics Certificate. You’ll discover how R lets you clean, organize, analyze, visualize, and report data in new and more powerful ways. Programming and data analytics Hands-On Activity: Importing and working with data Explain the fundamental concepts associated with programming in R including functions, variables, data types, pipes, and vectors...
Importing Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 4.6
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Approx. 15 hours to complete
Data must be imported and harmonized into a coherent format before any insights can be obtained. If you work in an organization where different departments collect data using different systems and different storage formats, then this course will provide essential tools for bringing those datasets together and making sense of the wealth of information in your organization....
Data Science Interview Prep
by Arpan Chakraborty , Jimmy Lafontaine Rivera- 0.0
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Approx. 1 week
Knowing what to expect and practicing are keys to technical interview success. You also need to show how you tackle problems and communicate your thinking. Prepare for data science interviews by practicing data analysis, machine learning, and data structure and algorithms questions....
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Digitalisation in Space Research
by Klaus Drechsler , Guenter W. Hein- 4.7
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Approx. 13 hours to complete
The course instructors discuss how digitalisation is impacting and changing both satellite-based and manned spaceflight research. Global Navigation Satellite Systems (GNSS) for efficient and flexible air navigation Classical and Performance Based Navigation Current Performance and Way forward Data Archives & Access and Processing Services Data Archives & Access and Processing Services...
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Increasing Real Estate Management Profits: Harnessing Data Analytics
by Daniel Egger , Jana Schaich Borg- 4.7
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Approx. 23 hours to complete
In this final course you will complete a Capstone Project using data analysis to recommend a method for improving profits for your company, Watershed Property Management, Inc. Data Extraction and Visualization How to Meet and Retrieve Your Data Using the Normalized Data and Model Template Spreadsheet Normalized Data and Model Template (Spreadsheet 2)...
A Scientific Approach to Innovation Management
by Alfonso Gambardella , Arnaldo Camuffo , Chiara Spina- 4.6
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Approx. 14 hours to complete
We teach students to assess the feasibility of an innovative idea through problem-framing techniques and rigorous data analysis labelled ‘a scientific approach’. THEORY AND DATA FOR INNOVATION MANAGEMENT DATA ANALYSIS Interview with Eni Gas and Power: leveraging big data to uncover customer preferences How firms and startups can gather and analyze data to test hypotheses...
Introduction to Statistics
by Guenther Walther- 4.5
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Approx. 15 hours to complete
Stanford's "Introduction to Statistics" teaches you statistical thinking concepts that are essential for learning from data and communicating insights. By the end of the course, you will be able to perform exploratory data analysis, understand key principles of sampling, and select appropriate tests of significance for multiple contexts. Analysis of Categorical Data...
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