Search result for Data storage and analysis Online Courses & Certifications
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Project Execution: Running the Project
by Google Career CertificatesTop Instructor- 4.8
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Approx. 23 hours to complete
Next, you will examine how to prioritize data, how to use data to inform your decision-making, and how to effectively present that data. - Demonstrate how to prioritize and analyze data and how to communicate a project’s data-informed story. Demonstrate how to prioritize and analyze data and how to communicate a project’s data-informed story....
Code Free Data Science
by Natasha Balac, Ph.D.- 4.3
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Approx. 14 hours to complete
• Essential Data Science skills to design, build, test and evaluate predictive models • Ways to apply Data Science algorithms to real data and evaluate and interpret the results Big Data Characteristics and Applications Big Data Impact and Challanges Big Data Analytics: Applications, Prospects and Challenges Data Types and Formats in KNIME Data Manipulation and Visualization...
Big Data Analytics with PySpark + Tableau Desktop + MongoDB
by EBISYS R&D- 4.3
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4.5 hours on-demand video
Integrating Big Data Processing tools with Predictive Modeling and Visualization with Tableau Desktop Tableau Desktop is a powerful data visualization tool used for big data analysis and visualization. It allows for data blending, real-time analysis and collaboration of data. You will learn how to create data processing pipelines using PySpark You will learn data analysis using PySpark, MongoDB and Tableau...
$9.99
Data Wrangling, Analysis and AB Testing with SQL
by Katrina Glaeser- 3.4
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Approx. 16 hours to complete
We'll select and perform the optimal JOIN for a data science inquiry and clean data within an analysis dataset by deduping, running quality checks, backfilling, and handling nulls. Finally, given a predictive analysis need, we'll engineer a feature from raw data using the tools and skills we've built over the course....
Launching into Machine Learning
by Google Cloud Training- 4.6
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Approx. 22 hours to complete
Starting from a history of machine learning, we discuss why neural networks today perform so well in a variety of data science problems. We then discuss how to set up a supervised learning problem and find a good solution using gradient descent. Improve Data Quality and Exploratory Data Analysis Lab Intro Exploratory Data Analysis Practice Quiz on Exploratory Data Analysis...
Architecting with Google Kubernetes Engine: Production
by Google Cloud Training- 4.7
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Approx. 12 hours to complete
In this course, "Architecting with Google Kubernetes Engine: Production," you'll learn about Kubernetes and Google Kubernetes Engine (GKE) security; logging and monitoring; and using Google Cloud managed storage and database services from within GKE. Authentication and authorization Access Control and Security in Kubernetes and GKE Google Kubernetes Engine (GKE) Logging and Monitoring...
Business intelligence and data analytics: Generate insights
by David Pitt , Smit Rathore- 4.6
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Approx. 29 hours to complete
You will be introduced to key data analytics concepts such as systems thinking, multi-level perspectives and multidisciplinary methods for envisioning futures, and apply them to specific real-world challenges you and your organisation may face. 2 Data value chain Learning activities and assessment The normal distribution and histograms 1 Data visualisation and Anscombe’s Quartet...
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Process Mining: Data science in Action
by Wil van der Aalst- 4.7
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Approx. 22 hours to complete
It is not sufficient to focus on data storage and data analysis. , simulation and other business process management techniques) and data-centric analysis techniques such as machine learning and data mining. - be able to relate process mining techniques to other analysis techniques such as simulation, business intelligence, data mining, machine learning, and verification,...
Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud
by Reza Farivar , Roy H. Campbell- 4.3
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Approx. 20 hours to complete
We start the first week by introducing some major systems for data analysis including Spark and the major frameworks and distributions of analytics applications including Hortonworks, Cloudera, and MapR. In week two, our course introduces large scale data storage and the difficulties and problems of consensus in enormous stores that use quantities of processors, memories and disks....
Experimental Methods in Systems Biology
by Marc Birtwistle, PhD- 4.5
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Approx. 18 hours to complete
We present not only the theoretical background upon which these technologies work, but also enter real wet lab environments to provide instruction on how these techniques are performed in practice, and how resultant data are analyzed for quality and content. Lecture 5 - mRNA Sequencing Data Analysis Lecture 4 - Cytometry Data Analysis...
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