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£140.00
Duration: 13 Hours 58 Minutes
77 Course Videos
Microsoft SQL Server 2019 – Introduction to Data Analysis

This course will discuss the responsibilities and functions of a data analyst. Which includes the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution.

This course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI. Power BI is a member of the Power Platform. Power Apps is another component that enables everyone to build and use apps that connect to business data. This course will show you how to use the Power Apps visual to pass context-aware data to a canvas app, which updates in real-time as you make changes to your report. This will allow your app users to derive business insights and take actions from right within their Power BI reports and dashboards.

Key Learning Topics In This Course:

  • Ingest, clean, and transform data
  • Model data for performance and scalability
  • Design and create reports for data analysis
  • Apply and perform advanced report analytics
  • Manage and share report assets
  • Create paginated reports in Power BI
  • Embed Power Apps into Power BI
  • Understand the similarities and differences between Transact-SQL and other computer languages.
  • Write SELECT queries
  • Query multiple tables
  • Sort and filter data

Course Videos

This course contains the following modules and videos. Click the down arrow to view video details.


  •  1.1 Course Introduction
  •  1.2 Intro to Management Studio
  •  1.3 Intro to command-line query tools
  •  2.1 Introducing T-SQL
  •  2.2 Understanding Sets
  •  2.3 Understanding the Logical Order of Operations in SELECT statements
  •  3.1 Writing Simple SELECT Statements
  •  3.2 Eliminate Duplicates with DISTINCT
  •  3.3 Using Column and Table Aliases
  •  3.4 Write Simple CASE Expressions
  •  4.1 Understanding Joins
  •  4.2 Querying with Inner Joins
  •  4.3 Querying with Outer Joins
  •  4.4 Querying with Cross Joins and Self Joins
  •  5.1 Sorting Data
  •  5.2 Filtering Data with Predicates
  •  5.3 Filtering with the TOP and OFFSET-FETCH
  •  5.4 Working with Unknown Values
  •  6.1 Introduction to Business Intelligence
  •  6.2 The Microsoft Business Intelligence Platform
  •  6.3 Exploring a Data Warehouse
  •  6.4 Exploring a Data Model
  •  7.1 Introduction to Power BI
  •  7.2 Get data from various data sources
  •  7.3 Preview source data
  •  8.1 Data Transformation Intro
  •  8.2 Transformation Example 1
  •  8.3 Transformation Example 2
  •  8.4 Transformation Example 3
  •  8.5 Transformation Example 4
  •  8.6 Transformation Example 5
  •  8.7 Transformation Example 6
  •  9.1 Introduction to Data Modeling
  •  9.2 Model Relationships
  •  9.3 Table Configuration
  •  9.4 Model interface
  •  9.5 Quick Measures
  •  9.6 Many-to-many relationships
  •  9.7 Row-level security
  •  10.1 DAX context
  •  10.2 Calculated Tables
  •  10.3 Calculated Columns
  •  10.4 Managing Date Tables
  •  10.5 Measures
  •  10.6 Filter Manipulation
  •  10.7 Time Intelligence
  •  11.1 Basic Report Creation
  •  11.2 Example Page 1
  •  11.3 Example Page 2
  •  11.4 Example Page 3
  •  11.5 Report Publishing
  •  11.6 Enhancing Reports
  •  11.7 Drill-Through Pages
  •  11.8 Conditional Formatting
  •  11.9 Buttons and Bookmarks
  •  12.1 Dashboard Basics
  •  12.2 Real Time Dashboards
  •  12.3 Enhanced Dashboards
  •  13.1 Introduction to Power BI Report Builder
  •  13.2 Report Layouts
  •  13.3 Report Data
  •  13.4 Report Tables
  •  14.1 Introduction to Advanced Analytics
  •  14.2 Scatter Chart
  •  14.3 Forecast
  •  14.4 Decomposition Tree
  •  14.5 Key Influencers
  •  15.1 Introduction to Workspaces
  •  15.2 Working with Workspaces and the Portal
  •  16.1 Introduction to Power Apps Visual
  •  16.2 Creating the App
  •  16.3 Basic Power Apps Concepts
  •  16.4 Refreshing the Report
  •  17.1 Introduction to Analysis Services
  •  17.2 Connecting with Multidimensional Models
  •  17.3 Premium Workspaces and Analysis Services
  •  17.4 Course Wrap Up
Our Learning System Includes
Instructor Led Lectures
All of our IT Courses recreate a real time class experience with a highly qualified and experienced instructor delivering the course’s theories and concepts on screen. All of our lectures are pre-recorded and available to the user 24/7. They can easily be paused, repeated, rewound and fast-forwarded.
Visual Presentations
We understand that all students are different when it comes to learning, therefore different types of delivery mediums are needed in order to achieve success for students. Taking that into account, we deliver our content in a variety of different ways to ensure that students stay engaged and productive throughout their courses.
Mobile Optimisation & Progress Tracking
Our courses are optimised for all mobile devices allowing users to learn on the go whenever they have spare time and wish to do so. Users can access their courses from anywhere and their progress is completely tracked and recorded delivering peace of mind to each and every user.
Practice Quizzes and Exams
Our custom practice exams prepare students for their exams differently and more effectively than the traditional exam preps on the market. Students will have practice quizzes after each module to ensure that they are confident on the topic they are learning.
World Class Learning Management System
We provide the next generation Learning Management System (LMS) to all of our students. This is an experience that combines the feature set of traditional LMS with advanced functionality designed to make learning management easy and online learning engaging from the student’s perspective.
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