Search result for Data storage and analysis Online Courses & Certifications
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Preparing for the Google Cloud Professional Data Engineer Exam
by Google Cloud Training- 4.6
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Approx. 9 hours to complete
Understanding the Professional Data Engineer Certification Designing Data Processing Systems Designing and building Building and Operationalizing Data Processing Systems Building and Operationalizing Data Processing Systems: Exam Guide Review Designing and Building Data Processing Systems Machine learning and unstructured data Modeling business processes for analysis and optimization Data visualization and reporting tools...
Fundamentals of Scalable Data Science
by Romeo Kienzler- 4.3
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Approx. 20 hours to complete
Apache Spark is the de-facto standard for large scale data processing. • Recognize data characteristics, patterns, trends, deviations or inconsistencies, and potential outliers. • Identify useful techniques for working with big data such as dimension reduction and feature selection methods o improve efficiency of analysis of big-data with partitioning and parallel analysis Data storage solutions Data storage solutions, and ApacheSpark...
Data Structures
by Alexander S. Kulikov , Michael Levin , Daniel M Kane , Neil Rhodes- 4.6
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Approx. 25 hours to complete
You will learn how these data structures are implemented in different programming languages and will practice implementing them in our programming assignments. You will also learn how services like Dropbox manage to upload some large files instantly and to save a lot of storage space! Dynamic Arrays and Amortized Analysis Dynamic Arrays and Amortized Analysis...
Google Cloud Big Data and Machine Learning Fundamentals
by Google Cloud Training- 4.7
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Approx. 12 hours to complete
Through a combination of presentations, demos, and hands-on labs, participants get an overview of Google Cloud and a detailed view of the data processing and machine learning capabilities. This course showcases the ease, flexibility, and power of big data solutions on Google Cloud. Introduction to the Data and Machine Learning on Google Cloud Course...
Managing Data Analysis
by Jeff Leek, PhD , Brian Caffo, PhD , Roger D. Peng, PhD- 4.6
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Approx. 9 hours to complete
We describe the iterative nature of data analysis and the role of stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication. In addition, we will describe how to direct analytic activities within a team and to drive the data analysis process towards coherent and useful results....
Data Processing with Azure
by Samant Bali , Kenny Mobley- 3.6
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Approx. 13 hours to complete
This Azure training course is designed to equip students with the knowledge need to process, store and analyze data for making informed business decisions. Through this Azure course, the student will understand what big data is along with the importance of big data analytics, which will improve the students mathematical and programming skills. Data Stores and Azure Blob Storage...
Introduction to Data Analytics for Business
by David Torgerson- 4.7
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Approx. 12 hours to complete
We will explore such key areas as the analytical process, how data is created, stored, accessed, and how the organization works with data and creates the environment in which analytics can flourish. Data and Analysis in the Real World Introduction to Data & Analysis in Real World Data Storage and Databases Aggregating and Sorting Data in SQL...
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Creating an Analytical Dataset
by Maureen Wolfson- 0.0
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Approx. 2 weeks
You'll learn this through improving your fluency in Alteryx, a data analytics tool that enables you prepare, blend, and analyze data quickly. Learn how to prepare data to ensure the efficacy of your analysis while improving fluency in Alteryx. lesson 1 Understanding Data Learn to identify structured unstructured and semistructured data. Explore fuzzy matching and spatial analysis...
Free
Studying Cities: Social Science Methods for Urban Research
by Laura Neijenhuis , Jan Fransen , Dorcas Nthoki , Rick Wolff , Maria Zwanenburg- 4.7
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Approx. 7 hours to complete
Theoretical Framework and Operationalization Strategy Validity and Reliability Case Studies - Defining a case study and when to use it Quantitative and Qualitative Data Quantitative and Qualitative Analysis Qualitative Data Analysis: Reliability and Validity Data Analysis: Primary Quantitative Data Analysis Primary and Secondary Quantitative Data Preparation Data Analysis: Secondary Quantitative Data Analysis Data Analysis: Quantitative Data Analysis...
Machine Learning Data Lifecycle in Production
by Robert Crowe- 4.5
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Approx. 20 hours to complete
Week 1: Collecting, Labeling, and Validating data Week 3: Data Journey and Data Storage Week 4: Advanced Data Labeling Methods, Data Augmentation, and Preprocessing Different Data Types Data and Concept Change in Production ML Week 3: Data Journey and Data Storage Enterprise Data Storage Week 4 (Optional): Advanced Labeling, Augmentation and Data Preprocessing...
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