Search result for Data storage and analysis Online Courses & Certifications
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Statistical Thinking for Industrial Problem Solving, presented by JMP
by Mia Stephens , Ledi Trutna- 4.8
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Approx. 44 hours to complete
By completing this course, students will understand the importance of statistical thinking, and will be able to use data and basic statistical methods to solve many real-world problems. • Describe the importance of data, and the steps needed to compile and prepare data for analysis Introduction to Exploratory Data Analysis Packed Bar Charts and Data Filtering...
Data Management and Visualization
by Lisa Dierker- 4.4
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Approx. 12 hours to complete
By the end of the course, you will be able to use powerful data analysis tools – either SAS or Python – to manage and visualize your data, including how to deal with missing data, variable groups, and graphs. SAS Lesson 1 - Defining exploratory data analysis Python Lesson 1 - Defining Exploratory Data Analysis...
Analysis for Business Systems
by Ken Reily- 4.8
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Approx. 9 hours to complete
Most often, organizations acquire information systems as part of a larger focus on process improvement and efficiency. These organizations need to invest in the right system to meet their needs: right functionality, right size, and for the right price. Learn how to read and create specific deliverables that business systems analysts prepare during the SDLC....
Cloud Computing Fundamentals on Alibaba Cloud
by Steve Xue- 4.7
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Approx. 12 hours to complete
Looking to dive into the world of Alibaba Cloud with a comprehensive introduction to the range of products and solutions offered by Alibaba Cloud? Operate and Manage Object Storage on the Cloud: https://edu. Operate and Manage Object Storage on the Cloud Manage a Relational Database that can analyze large sets of data...
Distributed Computing with Spark SQL
by Brooke Wenig , Conor Murphy- 4.5
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Approx. 14 hours to complete
The third module focuses on Engineering Data Pipelines including connecting to databases, schemas and data types, file formats, and writing reliable data. By the end of this course, students will hone their SQL and distributed computing skills to become more adept at advanced analysis and to set the stage for transitioning to more advanced analytics as Data Scientists....
Raising Capital: Credit Tech, Coin Offerings, and Crowdfunding
by Andrew Wu , Robert Dittmar- 4.7
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Approx. 8 hours to complete
Consider the benefits and challenges of disruptive capital-raising technology. Advances in technology have both systematized and democratized consumers’ and business’ access to capital. Credit and its Price Credit Analysis and Scoring Data Analysis and Credit Part 1 Data Analysis and Credit Part 2 Platform lending:Technology and business models Platform Lending: Types and Risks...
Achieving Advanced Insights with BigQuery
by Google Cloud Training- 4.7
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Approx. 10 hours to complete
Lastly we will dive into optimizing your queries for performance and how you can secure your data through authorized views. Advanced Functions - Statistical and Approximations Schema Design and Nested Data Structures Advanced Data Studio: Case Statements and Filters Sharing Dashboards and Data Access Pitfalls Data Access Roles, Creating Authorized Views, and Common Pitfalls...
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Unsupervised Learning with Python: Step-by-Step Tutorial!
by Packt Publishing- 2.8
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7.5 hours on-demand video
Unsupervised learning is used for discovering the underlying structure of the data and encompasses a variety of techniques in machine learning, from clustering to dimension reduction to matrix factorization. You will also be able to apply hard and soft clustering methods (k-Means and Gaussian Mixture Models) to assign segment labels to customers categorized in your sample data sets....
$12.99
Communicating Data Science Results
by Bill Howe- 3.6
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Approx. 8 hours to complete
Important note: The second assignment in this course covers the topic of Graph Analysis in the Cloud, in which you will use Elastic MapReduce and the Pig language to perform graph analysis over a moderately large dataset, about 600GB. Explain the state-of-the-art in privacy, ethics, governance around big data and data science...
Scalable Machine Learning on Big Data using Apache Spark
by Romeo Kienzler- 3.8
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Approx. 7 hours to complete
Most real world machine learning work involves very large data sets that go beyond the CPU, memory and storage limitations of a single computer. Apache Spark is an open source framework that leverages cluster computing and distributed storage to process extremely large data sets in an efficient and cost effective manner....
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