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Our Courses
Azure Data Lake Storage Gen2 and Data Streaming Solution
In this course, you will see how Azure Data Lake Storage can make processing Big Data analytical solutions more efficient and how easy it is to set up. You will also explore how it fits into common architectures, as well as the different methods of uploading the data to the data store. You will examine the myriad of security features that will ensure your data is secure. Learn the concepts of event processing and streaming data and how this applies to Azure Stream Analytics.
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Course by
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Self Paced
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9 hours
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English
Data Warehousing and Business Intelligence
This course builds on “The Nature of Data and Relational Database Design” to extend the process of capturing and manipulating data through data warehousing and data mining. Once the transactional data is processed through ETL (Extract, Transform, Load), it is then stored in a data warehouse for use in managerial decision making. Data mining is one of the key enablers in the process of converting data stored in a data warehouse into actionable insight for better and faster decision making.
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Course by
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Self Paced
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7 hours
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English
SQL Tutorial
One of the most in-demand developer skills in todays market! Knowing how to use SQL will give you the ability to work with large amounts of data stored in databases. By knowing SQL, you get the ability to extract meaningful insights, analyze data and make data-driven decisions. The course is self-paced with text based modules, practical interactive examples and exercises to check your understanding as you progress. W3schools is the world's largest web developer learning site. Start learning with our proven tutorials used by millions of learners!
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Course by
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Self Paced
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19 hours
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English
Introduction to Text Classification in R with quanteda
In this guided project you will learn how to import textual data stored in raw text files into R, turn these files into a corpus (a collection of textual documents), reshape them into paragraphs from documents and tokenize the text all using the R software package quanteda.
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Course by
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Self Paced
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2 hours
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English
3D SARS-CoV-19 Protein Visualization With Biopython
In this project you will create an interactive three-dimensional (3D) representation of SARS-CoV-19 (Coronavirus) protein structures & publication-quality pictures of the same, understand properties of SARS-CoV-19 genome, handle biological sequence data stored in FASTA & PDB (Protein Data Bank) and XML format, and get insights from this data using Biopython.
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Course by
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Self Paced
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3 hours
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English
Preparing for DP-900: Microsoft Azure Data Fundamentals Exam
Microsoft certifications give you a professional advantage by providing globally recognized and industry-endorsed evidence of mastering skills in digital and cloud businesses. In this course, you will prepare to take the DP-900 Microsoft Azure Data Fundamentals certification exam. You will refresh your knowledge of the fundamentals of database concepts in a cloud environment, the basic skilling in cloud data services, and foundational knowledge of cloud data services within Microsoft Azure.
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Course by
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Self Paced
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6 hours
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English
Azure Synapse SQL Pool - Implement Polybase
In this 1-hour long project-based course, you will learn how to implement Polybase in Azure Synapse SQL Pool. In this project, we are going to see how to implement Polybase in Azure Synapse SQL Pool. Polybase in simple words is, a feature provided by Azure SQL Pool through which you can access the data stored in Azure Data Lake Storage/Blob/HDFS using a SQL interface to access the files stored in above mentioned storage systems.
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Course by
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Self Paced
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3 hours
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English
Visualizing Data with Google Data Studio
This is a self-paced lab that takes place in the Google Cloud console. This lab demonstrates how to use Google Data Studio to visualize data stored in Google Cloud SQL.
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Course by
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Self Paced
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2 hours
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English
Configure and Manage Azure Key Vault
In this 1 hour long project-based course, you will learn to configure and manage Azure Key Vault along with the sensitive data stored inside.
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Course by
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Self Paced
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2 hours
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English
Cloud Systems Software
This course provides an introduction to programming frameworks and their implementation issues in the Cloud. It explains multiple topics, including: scalable distributed data stores, resource management (for supporting multi-tenancy and elasticity) and virtualization techniques. Optionally, the student will also be guided in the implementation of a basic version of the distributed runtime system for the Map-Reduce programming framework
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Course by
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Self Paced
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English
Software Architecture Patterns for Big Data
The course is intended for individuals looking to understand the architecture patterns necessary to take large software systems that make use of big data to production. You will transform big data prototypes into high quality tested production software. After measuring the performance characteristics of distributed systems, you will identify trouble areas and implement scalable solutions to improve performance.
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Course by
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Self Paced
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49 hours
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English
Data Management with Azure: Implement Compliance Controls
Confidential data stored within a Microsoft SQL Server or Azure SQL Database should be classified and kept safe within the database. This classification allows the SQL Server users, as well as other applications, to know the sensitivity of the data that is being stored. Classification and protection of the data stored in the database is a must – implementation of row-level security can restrict row-level access based on a user's identity, role, or execution context and with the implementation of Dynamic Data Masking you can limit sensitive data exposure to non-privileged users.
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Course by
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Self Paced
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2 hours
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English
Power Pages for Beginners: Create Website for Your Company
You're developing an amazing business idea and you need a website for it? You want to make it on your own, but you're not a Frontend developer? If that's you, then this is the course you need! With low-code and no-code technology, we are going to create a classic website that suits many business cases, with the help of the newest member of the Power Platform family - Power Pages. Microsoft Power Pages is a secure, low-code platform for creating, hosting, and administering modern websites.
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Course by
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Self Paced
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3 hours
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English
Microsoft Azure Cosmos DB
In this course, you will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build your foundational knowledge of cloud data services within Microsoft Azure.
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Course by
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Self Paced
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11 hours
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English
Working with Relational Data Stores in Azure
In this project you will create and manage instances of Azure SQL Database and Azure Synapse Analytics services.
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Course by
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Self Paced
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3 hours
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English
BigQuery Soccer Data Analysis
This is a self-paced lab that takes place in the Google Cloud console. Learn the fundamentals of writing and executing queries to query soccer data stored in BigQuery tables. In this lab you will learn more fundamentals of sports data science by writing and executing queries to query data stored in BigQuery tables. The emphasis of the lab is to illustrate how the database works and answer some interesting questions related to the following topics in soccer.
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Course by
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1 hour
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English
Cloud Computing Law: Law Enforcement, Competition, & Tax
Have you ever wondered how a police officer in Europe can obtain evidence from a cloud provider in the USA? Or whether a major cloud provider might abuse its market power? Or in which countries cloud providers pay taxes? If so, then this course is for you! First, we’ll look at how law enforcement agents can request access to cloud data, including data stored outside their borders. You’ll learn to advise cloud providers on responding to access requests and on dealing with potential conflicts with European Union (‘EU’) data protection law.
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Course by
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Self Paced
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16 hours
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English
Introduction to Sentiment Analysis in R with quanteda
In this guided project, you will learn how to import textual data stored in raw text files into R, turn these files into a corpus (a collection of textual documents), and tokenize the text all using the R software package quanteda.
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Course by
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Self Paced
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3 hours
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English
Microsoft Azure Data Fundamentals DP-900 Exam Prep
This Specialization is intended for IT professionals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Through five courses, you will prepare to take the DP-900 exam. This program will prepare you to take up Data Engineer, Data Analyst, and Database Administrator roles. You will explore the roles, tasks, and responsibilities in the world of data.
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Course by
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Self Paced
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English
Django Web Framework
It's time to build something bigger. In this course, you will use the Django web framework to build, secure and administer a web server. You will have the opportunity to create, design and configure a web app using the Django framework in-line with best practices. Explore the usage of models in Django and their relationship to databases. Use views to render requested data to meaningful template structures for a composed user interface (UI).
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Course by
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Self Paced
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45 hours
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English
Introduction to Data Engineering
Start your journey in one of the fastest growing professions today with this beginner-friendly Data Engineering course! You will be introduced to the core concepts, processes, and tools you need to know in order to get a foundational knowledge of data engineering. as well as the roles that Data Engineers, Data Scientists, and Data Analysts play in the ecosystem. You will begin this course by understanding what is data engineering as well as the roles that Data Engineers, Data Scientists, and Data Analysts play in this exciting field.
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Course by
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Self Paced
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13 hours
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English
Python Data Representations
This course will continue the introduction to Python programming that started with Python Programming Essentials. We'll learn about different data representations, including strings, lists, and tuples, that form the core of all Python programs. We will also teach you how to access files, which will allow you to store and retrieve data within your programs. These concepts and skills will help you to manipulate data and write more complex Python programs. By the end of the course, you will be able to write Python programs that can manipulate data stored in files.
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Course by
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Self Paced
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9 hours
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English