Englische Tutorials

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Using Repeaters in Axure RP
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour | 623 MB
Genre: eLearning | Language: English​

Axure RP repeaters allow you to display, sort, and filter table-based data. They're great for prototyping more complex, data-driven websites and applications, such as directories, catalogs, and product listings. In this course, instructor Renata Phillippi shows how to use repeater widgets in your own Axure projects. She explains how to create basic repeaters; sort, filter, and edit the data; and then style the repeaters, adding images and pagination. She also shows how to build a new repeater-based project, a products page, from scratch.

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Microsoft Excel: From Zero to Hero in 58 Minutes
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour | Lec: 10 | 151 MB
Genre: eLearning | Language: English​

The basics of Excel without all the fluff

Microsoft Excel: From Zero to Hero in 58 Minutes will give you the foundation you need to advance your skills in Microsoft Excel. In this course, you will learn how to navigate Excel workbooks, enter and format data, make your presentations look sharp, an introduction to formulas and data models, and much more. I even give you a look at more intermediate tools like Data Validation and VLOOKUP.

This course is the starting point you need. After taking this course, you will be well-prepared to use Excel for your home or business projects, and to further advance your Excel skills. You will NOT be an expert at the end of this course, but you will have some essential skills that you can put to use immediately.

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C# 7 and .NET Core Solutions
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours 15M | 1.06 GB
Genre: eLearning | Language: English​

C# has recently been open-sourced and brings a host of exciting new features that allows you to write better codes and resolve common programming challenges. This course will equip you with all the new features in a practical approach to solve everyday problems faced by developers.

You will explore the new features of C# and .NET to get started with building the foundation of your application. In this course you will create regular expression, work with Files, Streams, and Serialization, and also handle task and exceptions.

Then you work with MVC, enhance your coding performance and build a responsive and cross platform application from extracting data, search tool, notification panel and finally publish your application live.

The code bundle for this video course is available at-

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Implementing a Data Warehouse with SQL Server Jump Start
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 5 Hours | 3.77 GB
Genre: eLearning | Language: English​

Are you a SQL Server professional looking for data warehouse training that will expand your understanding of SQL Server 2012 data warehousing concepts and implementation? Or maybe you are continuing your SQL Server SSIS training to preparing for Exam 70-463, a key component of the MCSA: SQL Server certification. Take this Jump Start course that focuses on the design of dimensions to support business intelligence (BI) in the organization, the implementation of extract, transform, and load (ETL) processes, and the implementation of enterprise-level master data and data quality. Watch the SQL Server videos for live demos to that can help you learn about building dimension tables in a data warehouse, implementing an ETL process with control flow and data flow definitions, configuring logging and event handling, deploying an ETL solution, and implementing master data and data quality solutions.

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Design Research: Enhancing the Designer-Client Relationship
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | 195 MB
Genre: eLearning | Language: English​

The success of a design relies on an effective exchange of knowledge between the client and the designer. This course can help you create a more productive relationship with your client, earn more buy-in, and ultimately strengthen the knowledge base within your design process. Throughout the course, instructor Andy Schwanbeck steps through how to effectively bring your client into your design process. Andy shows how to utilize your knowledge base to help you understand what your client is really asking for and establish the right research questions. He also explains how to facilitate effective workshops. To wrap up the course, he covers how to harness your most significant findings to develop a stable foundation for decision-making throughout your design process.

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Machine Learning for Marketing: Essential Training
MP4 | Video: 720p | Duration: 55:54 | English | Subtitles: VTT | 220.6 MB

​

Artificial intelligence and machine learning are changing the world. Computers can "learn" from data without being programmed and make automated, intelligent decisions. The technology is accessible to businesses large and small, and is making a major impact on the way companies conduct marketing. With machine learning, marketers can automate many tasks within the customer journey, including customer segmentation, personalization, and even pricing. This course helps those in technical, creative, and leadership roles understand how machine learning can revolutionize the way you sell to your B2B and B2C customers. Marketing consultant Chris DallaVilla shows how machine learning can be used in all aspects of marketing, from improving customer engagement to optimizing account-based marketing. He provides practical use cases that show the technology in action, and baseline information you can use to optimize all your campaigns.



Topics include:



Improving market awareness
Improving consideration engagement
Improving active customer engagement
Improving advocacy
Improve account-based marketing (ABM)

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Getting Started with Web API Test Automation in Java
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | 340 MB
Genre: eLearning | Language: English​

Learn how to write automated tests for a Web API using the popular Java Apache HttpClient library to achieve faster and more reliable delivery of Quality Assurance within the SDLC.

In today's world, software development companies are pressured to deliver a product faster than ever before. This means a shorter Software Development Life Cycle (SDLC) must be achieved, and thus the testing process must keep up the pace. In this course, Getting Started with Web API Test Automation in Java, you will learn how to deliver faster yet high-standard quality assurance to a Web API. First, you will get an overview of the fundamental theory that surrounds Web APIs including how a Web API works and the necessary basic HTTP concepts that you need to get started. Next, you will learn about and get hands-on practice with various tools that can help you to automate tests and you will understand their strengths and weaknesses. Finally, you will write your own small testing framework in Java to achieve test automation. By the end of this course, you will have learned how to approach Web API test automation, decide what solutions are appropriate to your specific needs and the practical coding skills to achieve faster testing. All of this will serve you as a foundation to further develop a fully automated approach to testing within the SDLC.

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Architecting for High Availability in Microsoft Azure
.MP4, AVC, 200 kbps, 1280x720 | English, AAC, 96 kbps, 2 Ch | 4h 6m | 565 MB
Instructor: Richard Seroter​

Anything that can fail, will. How do we build cloud-based systems that survive failures? In this course, you'll learn how to use Azure storage, databases, compute, integration, and networking in a highly available way.

In our embrace of cloud computing we've learned that anything that can fail, will. In this course, you will learn the skills you need to create highly-available, resilient cloud applications. First, you will hear about the core patterns and approaches to high availability. Next, you will dig into Azure Storage and how to configure it for maximum availability. After that, you'll see how to create a resilient data tier with Azure's many database options. Next, you'll learn what it takes to create highly-available compute in the Azure cloud. Before finishing, you'll even see how to set up resilient Azure integration services and networking between components. When you're finished, you'll have the understanding and hands-on experience needed to architect and deploy applications that stay online under almost any circumstance.

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MATLAB from Beginner to Expert
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours | Lec: 40 | 274 MB
Genre: eLearning | Language: English​

Learn MATLAB programming and how to use basic math, vectors, matrices, calculus, graphics and much more. In one course!

MATLAB is a programming language developed by MathWorks and is one of the most important computation languages. The course content covers all the required topics for starting MATLAB. In this course, you will learn how to program with MATLAB and after you finish this course you can:

Do basic calculation with MATLAB
Create variables, vectors and matrices
Do advanced operations with matrices and vectors
Create simple and advanced programs to solve your problems
Description your data set in 2D and 3D graphs
solve algebraic equations and systems
Solve calculus problems like limits
we add bonus lecture every month
finally you will get all the source codes you need
This is your complete guide. I guarantee you the full-money back,If you are not satisfied with the course! No Questions Asked!

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Test Driven Development with C# and .NET Core MVC
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | Lec: | 515 MB
Genre: eLearning | Language: English​

Test-driven development (TDD) is a well-defined approach to creating software that is robust and maintainable. The principles of TDD will help you write better and cleaner code. In addition, you'll see how having solid tests will give you a new sense of confidence when you need to modify existing code.

In this course, you will take the principles and tools of Test Driven Development and apply them to modern web development in .NET Core. Throughout the volume, you will build a single.NET Core MVC web app where each section will focus on a specific component of the MVC stack, providing detailed examples in a TDD environment. In the last section, you will learn how to implement Continuous Integration, where you will see the true value of TDD and how it can enable you to continually deliver high-quality applications at a faster rate than ever before.

By the end of the course, you will have the tools you need to start building bulletproof applications, backed by an automated suite of tests to ensure quality software delivery.

The code bundle for this video course is available at -

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Strata + Hadoop World 2016 - San Jose, California - Data-driven Business
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 8 Hours | 6.97 GB
Genre: eLearning | Language: English​

What's gone horribly wrong. . .and how you can protect yourself - Farrah Bostic (The Difference Engine), Paul Soldera (Equation Research) 00:43:35
The rise of the data selfie - Trina Chiasson (Tableau Software) 00:15:38
The future of data and culture - Leah Hunter (Tech Journalist), Amber Case (Esri), Todd Harple (Intel), Claire Michell (Temboo) 00:27:35
Big data sustainability: An environmental management systems analogy - Jonathan King (Ericsson) 00:24:20
Kosher collection: Best practices in data handling - Charles Givre (Booz | Allen | Hamilton) 00:18:23
Three rules every mobile product needs to follow to be successful - Sophie-Charlotte Moatti (Products That Count) 00:23:16
Mapping the matrix: Open cartography with scientific and spatial data - Aurelia Moser (Mozilla Science) 00:24:23
US EPA: A data-driven decision-making agency - Robin Thottungal (US Environmental Protection Agency) 00:16:44
My AlgorithmicMe: Our representation in data - Joerg Blumtritt (Datarella), Majken Sander (BusinessAnalyst.dk) 00:17:40
Stream science: Measuring the new currency of the music industry - Jonathan Gosier (AuDigent) 00:15:56
Making on-demand grocery delivery profitable with data science - Jeremy Stanley (Instacart) 00:21:38
Virtual reality for immersive data visualization - Bob Levy (Virtual Cove) 00:18:32
You have more data than you think. Time to put it to work - Jana Eggers (Nara Logics) 00:13:51
The power of personalization in the travel industry using big data - Sara Ahmadian (Seamless Planet) 00:06:50
How cognitive computing is changing data science for the better - Michael Ludden (IBM Watson) 00:23:29
Afraid of the future? You should be. Deep learning is eating your lunch-and mine. - Arno Candel (H2O.ai) 00:25:33
From drop to deluge: The upcoming wave of enterprise drone data - Keith Bigelow (3D Robotics) 00:25:50
Machine vision is making sense of the explosion of data from space - James Crawford (Orbital Insight) 00:30:34
Opportunities for hardware acceleration in data analytics - Kanu Gulati (Zetta Venture Partners) 00:25:48
Deploying deep learning at scale - Naveen Rao (Nervana) 00:29:21
Virtual reality in 2016 and in the future - Timoni West (Unity Labs) 00:25:38
Network intelligence at LinkedIn - Michael Conover (LinkedIn) 00:27:51
Data science 3.0: Empowering common end users with integrated solutions in a world of tools for engineers and scientists - Faisal Farooq (IBM Watson Health), Balaji Krishnapuram (IBM Watson Health) 00:27:28
Big science problems, big data solutions - Mr Prabhat (Berkeley Lab) 00:32:21
Of market makers and middlemen: How technology is transforming global trade - Renee DiResta (Haven) 00:31:28
Enabling smart consumer health decisions using prediction and personalization - Matt Butner (Stride Health) 00:31:17
Engineering industrial biology with data - Joshua Hoffman (Zymergen) 00:27:40
The business case for Spark, Kafka, and friends - Edd Dumbill (Silicon Valley Data Science) 00:30:17
Distributed systems in one lesson - Tim Berglund (DataStax) 00:25:55
How to use your data science team: Becoming a data-driven organization - Yael Garten (LinkedIn) 00:29:23
Cloud computing and big data - Ben Sharma (Zaloni) 00:26:44
Data visualizations decoded - Julie Rodriguez (Sapient Global Markets) 00:21:16
Developing a modern enterprise data strategy - Part 1 - Edd Dumbill (Silicon Valley Data Science), John Akred (Silicon Valley Data Science) 00:56:19
Developing a modern enterprise data strategy - Part 2 - Edd Dumbill (Silicon Valley Data Science), John Akred (Silicon Valley Data Science) 00:29:47
Developing a modern enterprise data strategy - Part 3 - Edd Dumbill (Silicon Valley Data Science), John Akred (Silicon Valley Data Science) 00:44:28
Developing a modern enterprise data strategy - Part 4 - Edd Dumbill (Silicon Valley Data Science), John Akred (Silicon Valley Data Science) 00:40:25
Empowering business users to lead with data - Denise McInerney (Intuit) 00:40:53
Why a data career is a great choice, now more than ever - Jin Zhang (CA Technologies), Jerry Overton (CSC), Michele Chambers (Continuum Analytics) 00:39:44
Automating decision making with big data: How to make it work - Andreas Schmidt (Blue Yonder) 00:36:36
Best practices for achieving customer 360 - Steven Totman (Cloudera), Nick Curcuru (MasterCard Advisors), Robert Bagley (ClickFox), Lori Bieda (Bank of Montreal) 00:44:57
Working on the blockchain gang: Crunching and visualizing bitcoin data - Benedikt Koehler (DataLion) 00:38:58
Adopting analytics: The Autodesk journey - Adam Sugano (Autodesk) 00:39:11
Inside Cigna's big data journey - Jeffrey Shmain (Cloudera), Mohammad Quraishi (Cigna) 00:41:11
Data scientists, you can help save lives - Jeremy Howard (Enlitic) 00:42:18
How big data is helping to save babies around the world - Linus Liang (Embrace), Brad Allen (Silicon Valley Data Science) 00:39:11
Publicly broadcasting data exhaust at a public broadcaster - Christopher Berry (Canadian Broadcasting Corporation) 00:30:10
Transforming Telefónica - John Belchamber (Telefónica), Arturo Canales (Telefónica) 00:39:50

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Using Jupyter Notebooks for Data Science Analysis in Python
MP4 | Video: AVC 1280x720 | Audio: AAC 48KHz 2ch | Duration: 2 Hours | 4.44 GB
Genre: eLearning | Language: English​

Lesson 1: Project Jupyter and the Jupyter Ecosystem
Learning objectives
1.1 What are Project Jupyter and the Jupyter Notebook?
1.2 How Jupyter facilitates collaboration and sharing in data science
1.3 Differentiate between the Jupyter Notebook and other Jupyter projects
1.4 Find resources and connect with the Jupyter community through Jupyter.org
1.5 Learn through example using the Gallery of Interesting Jupyter Notebooks and GitHub
1.6 Contribute to the Jupyter ecosystem via GitHub
1.7 Participate in open source computing through NumFOCUS

Lesson 2: Creating Data Science Analyses in the Jupyter Notebook
Learning objectives
2.1 Determine which Python version to install
2.2 Install Jupyter using the Anaconda distribution of Python
2.3 Start your Jupyter Notebook using the command-line interface (CLI)
2.4 Start your Jupyter Notebook using the Anaconda Navigator
2.5 Run an ephemeral Interactive Jupyter Notebook on the web
2.6 Run Jupyter Notebooks in the cloud using Azure Notebooks
2.7 Run Jupyter Notebooks using Nteract
2.8 Navigate the Jupyter Notebook environment
2.9 Maintain good notebook hygiene
2.10 Perform quantitative exploratory data analysis (EDA) in your Jupyter Notebook using Python
2.11 Perform Visual Exploratory data analysis (EDA) in your Jupyter Notebook using Python
2.12 Create Jupyter Notebooks with different kernels (including R)
2.13 Install the R kernel

Lesson 3: Sharing Jupyter Notebooks
Learning objectives
3.1 Work with .ipynb files
3.2 Install nbconvert
3.3 Convert your Jupyter Notebook to different formats: HTML, PDF, and .py
3.4 Create dynamic presentation slides from your Jupyter Notebook using RISE
3.5 Share Jupyter Notebooks using GitHub and nbviewer
3.6 Access Jupyter Notebooks using Azure Notebooks
3.7 Compare and merge Jupyter Notebooks with nbdime

Lesson 4: Exploring New Jupyter Projects In-Depth
Learning objectives
4.1 Understand the basics of JupyterHub
4.2 Install and explore JupyterLab
4.3 Work with others using Real Time Collaboration
4.4 Enhance your analysis with interactive Jupyter Widgets
4.5 Share custom environments with Binder and BinderHub

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