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Dictionary of Applied Math for Engineers and Scientists pdf | 1.41 MB | English | Isbn:‎ 978-1260430998 | Author: Emma Previato | Year: 2019 Category:Mechanical Engineering Description: Download Link: https://nitroflare.com/view/CBF635C605360B9/Dictionary.of.Applied.Math.for.Engineers.and.Scientists.-Mantesh.rar https://rapidgator.net/file/7f98e4c6d9b1c1c4b24ac0ded2cd208e/Dictionary.of.Applied.Math.for.Engineers.and.Scientists.-Mantesh.rar

Advanced SQL for Data Scientists Size: 172 MB | Duration: 1h 24m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch Genre: eLearning | Level: Advanced | Language: English There is an increasing need for data scientists and analysts to understand relational data stores. Organizations have long used SQL databases to store transactional data as well as business intelligence related data. If you need to work with SQL databases, this course is designed to help you learn how to perform common data science tasks, including finding, exploration, and extraction within relational databases. You can also learn how to prepare data for use in analytics tools such as SAS, R, and Python. The course begins with a brief overview of SQL. Then the five major topics a data scientist should understand when working with relational databases: basic statistics in SQL, data preparation in SQL, advanced filtering and data aggregation, window functions, and preparing data for use with analytics tools. Topics include: * Data manipulation * ANSI standards * SQL and variations * Statistical functions in SQL * String, numeric, and regular expression functions in SQL * Advanced filtering techniques * Advanced aggregation techniques * Windowing functions for working with ordered data sets * Best practices for preparing data for analytics tools Download From NitroFlare http://nitroflare.com/view/AF9C9BDF795C92E/xidau123_LyndaAdvancedSQLforDataScientists.rar Download From Rapidgator http://rapidgator.net/file/97a56ece96a311f567fb47e487efcd41/xidau123_LyndaAdvancedSQLforDataScientists.rar.html Download From UploadGig https://uploadgig.com/file/download/c6eA7fc16Ad74Bf6/xidau123_LyndaAdvancedSQLforDataScientists.rar

Lynda - Advanced SQL for Data Scientists Size: 172 MB | Duration: 1h 24m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch Genre: eLearning | Level: Advanced | Language: English There is an increasing need for data scientists and analysts to understand relational data stores. There is an increasing need for data scientists and analysts to understand relational data stores. Organizations have long used SQL databases to store transactional data as well as business intelligence related data. If you need to work with SQL databases, this course is designed to help you learn how to perform common data science tasks, including finding, exploration, and extraction within relational databases. You can also learn how to prepare data for use in analytics tools such as SAS, R, and Python. The course begins with a brief overview of SQL. Then the five major topics a data scientist should understand when working with relational databases: basic statistics in SQL, data preparation in SQL, advanced filtering and data aggregation, window functions, and preparing data for use with analytics tools. * Data manipulation * ANSI standards * SQL and variations * Statistical functions in SQL * String, numeric, and regular expression functions in SQL * Advanced filtering techniques * Advanced aggregation techniques * Windowing functions for working with ordered data sets * Best practices for preparing data for analytics tools Download link: http://rapidgator.net/file/784c389fc3da9a614464ad8fc09769e1/ila9u.Lynda..Advanced.SQL.for.Data.Scientists.rar.html http://nitroflare.com/view/37872B3D1A50826/ila9u.Lynda..Advanced.SQL.for.Data.Scientists.rar https://uploadgig.com/file/download/5aDf265846698943/ila9u.Lynda..Advanced.SQL.for.Data.Scientists.rar http://uploaded.net/file/wx7ztzhq/ila9u.Lynda..Advanced.SQL.for.Data.Scientists.rar Links are Interchangeable - No Password - Single Extraction

Lynda - Tableau 10 for Data Scientists Size: 349 MB | Duration: 2h 4m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch Genre: eLearning | Level: Intermediate | Language: English Tableau is designed for data science! Move beyond the basics and delve deeper into the power of this data visualization software. Tableau is designed for data science! Move beyond the basics and delve deeper into the power of this data visualization software. Learn how to deal with messy or badly formatted data, use Tableau to answer key data analytics questions, and visualize your results with maps and dashboards. Tableau-certified "Zen Master" Matt Francis will show you how to use parameters to enhance visualizations, create cross-source filters, use data extracts to optimize slow connections, and much more. The training starts with one of the most important features in Tableau: the difference between the green and blue pills (discrete and continuous data) and how this affects every single action Tableau performs. Then find out how to add new maps and create more effective dashboards that maximize screen real estate. Discover how actions can link together sheets and provide greater levels of interactivity and performance, and how formatting can make an ordinary dashboard demand attention. Plus, get some bonus tips on performing date and time calculations in Tableau. This course deep-dives into the practical, applicable, and essential skills that anyone doing data visualization and analytics in a professional setting needs to have. * Green vs. blue pills * Using filters, colors, and dates * Connecting to data * Extracting data * Cleaning and prepping data * Pivoting data * Merging and joining data * Highlighting data * Using the Analytics pane * Creating new maps * Creating calculations based on parameters * Designing dashboards DOWNLOAD http://rapidgator.net/file/94b99301b93c4bc0df3e283298dccca2/gf67t.Lynda..Tableau.10.for.Data.Scientists.rar.html https://bytewhale.com/0z08bdtlimw3/gf67t.Lynda..Tableau.10.for.Data.Scientists.rar http://uploaded.net/file/rb17pmd2/gf67t.Lynda..Tableau.10.for.Data.Scientists.rar https://www.bigfile.to/file/kzxUcYhjgZd7/gf67t.Lynda..Tableau.10.for.Data.Scientists.rar http://nitroflare.com/view/965F08930FAB8B8/gf67t.Lynda..Tableau.10.for.Data.Scientists.rar http://uploadgig.com/file/download/e83aA63f5Df7557f/gf67t.Lynda..Tableau.10.for.Data.Scientists.rar

O'reilly - Hadoop Fundamentals for Data Scientists English | 6 hrs 5 mins | .MP4, AVC, 3449 kbps, 1920x1080 | AAC, 128 kbps, 2 Ch | 7.95 gb Genre: eLearning Hadoop's Architecture, Distributed Computing Framework, and Analytical Ecosystem Get a practical introduction to Hadoop, the framework that made big data and large-scale analytics possible by coMbining distributed computing techniques with distributed storage. In this video tutorial, hosts Benjamin Bengfort and Jenny Kim discuss the core concepts behind distributed computing and big data, and then show you how to work with a Hadoop cluster and program analytical jobs. You'll also learn how to use higher-level tools such as Hive and Spark. Hadoop is a cluster computing technology that has many moving parts, including distributed systems administration, data engineering and warehousing methodologies, software engineering for distributed computing, and large-scale analytics. With this video, you'll learn how to operationalize analytics over large datasets and rapidly deploy analytical jobs with a variety of toolsets. Once you've completed this video, you'll understand how different parts of Hadoop coMbine to form an entire data pipeline managed by teams of data engineers, data programmers, data researchers, and data business people. Understand the Hadoop architecture and set up a pseudo-distributed development environment Learn how to develop distributed computations with MapReduce and the Hadoop Distributed File System (HDFS) Work with Hadoop via the command-line interface Use the Hadoop Streaming utility to execute MapReduce jobs in Python Explore data warehousing, higher-order data flows, and other projects in the Hadoop ecosystem Learn how to use Hive to query and analyze relational data using Hadoop Use summarization, filtering, and aggregation to move Big Data towards last mile computation Understand how analytical workflows including iterative machine learning, feature analysis, and data modeling work in a Big Data context Benjamin Bengfort is a data scientist and programmer in Washington DC who prefers technology to politics but sees the value of data in every domain. Alongside his work teaching, writing, and developing large-scale analytics with a focus on statistical machine learning, he is finishing his PhD at the University of Maryland where he studies machine learning and artificial intelligence. Jenny Kim, a software engineer in the San Francisco Bay Area, develops, teaches, and writes about big data analytics applications and specializes in large-scale, distributed computing infrastructures and machine-learning algorithms to support recommendations systems. DOWNLOAD http://rapidgator.net/file/07f80eaafae06cc09f62aa6b9fe3522d/Hadoop.part1.rar.html http://rapidgator.net/file/6f5025e9217a586d4c29bf699b6d47d6/Hadoop.part2.rar.html http://rapidgator.net/file/ee9b0b9682aac8647599415c7cbb1dea/Hadoop.part3.rar.html http://rapidgator.net/file/393c6cbbf887d3be2be721ff070858b3/Hadoop.part4.rar.html http://rapidgator.net/file/993a2a6b96c2e0e154ca802cd6c2973b/Hadoop.part5.rar.html http://rapidgator.net/file/79a9e1e1695987cb81f87dea2849e015/Hadoop.part6.rar.html http://rapidgator.net/file/aca4a4cf53532ebdba8059c5ec421efd/Hadoop.part7.rar.html http://rapidgator.net/file/29217eced3ae3cd4189377f339c0224f/Hadoop.part8.rar.html http://uploaded.net/file/q9e0a9xf/Hadoop.part1.rar http://uploaded.net/file/wruf0r11/Hadoop.part2.rar http://uploaded.net/file/b30sbk2x/Hadoop.part3.rar http://uploaded.net/file/8y1oodzy/Hadoop.part4.rar http://uploaded.net/file/jdwniztt/Hadoop.part5.rar http://uploaded.net/file/xx2eryor/Hadoop.part6.rar http://uploaded.net/file/agq0fgr9/Hadoop.part7.rar http://uploaded.net/file/sfkg86jt/Hadoop.part8.rar http://www.uploadable.ch/file/bXR3WyJPJ2mE/Hadoop.part1.rar http://www.uploadable.ch/file/mBBbTdh4WseV/Hadoop.part2.rar http://www.uploadable.ch/file/EqUmVcqaHqkU/Hadoop.part3.rar http://www.uploadable.ch/file/nxExDAkj56zx/Hadoop.part4.rar http://www.uploadable.ch/file/mPYGhJczwWtb/Hadoop.part5.rar http://www.uploadable.ch/file/spEJ2QuQEpza/Hadoop.part6.rar http://www.uploadable.ch/file/UVUaUJENHqcy/Hadoop.part7.rar http://www.uploadable.ch/file/pf6hyAUmExxb/Hadoop.part8.rar