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Microsoft SQL Server 2019 – Data Analysis
This data analysis course, Microsoft SQL Server 2019 – Introduction to Data Analysis will provide a comprehensive overview of the job duties and functions that data analysts need to be familiar with, such as techniques and approaches for creating models, displaying visualizations, and evaluating information through Power BI. Besides that, you’ll also get to learn how to access various types of data sources – both relational and non-relational – in order to process them properly.
Included In This Course
Included In This Course
13 Training Hours
77 On-demand Videos
Closed Captions
17 Topics
75 Prep Questions
Certificate of Completion
Course Description
Empower your skills. Elevate your business intelligence. Learn data analytics
This data analysis course will discuss the responsibilities and functions of a data analyst. In this data analysis course, you will learn the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI, Microsoft Analysis Services and other data analysis tools. Our data analysis 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 data analysis 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.
Frequently Asked Questions About Microsoft SQL Server 2019 – Introduction to Data Analysis Course
What will I learn in the Microsoft SQL Server 2019 – Introduction to Data Analysis course?
This course provides a comprehensive overview of the job duties and functions that data analysts need to be familiar with. You’ll learn techniques for creating models, displaying visualizations, and evaluating information using Power BI. You’ll also get to learn how to access and process data from various types of data sources, both relational and non-relational. Besides, the course covers how to implement security standards and policies across the Power BI spectrum, including datasets and groups​.
How is the course content delivered?
The course comprises 13 hours of online training, 77 videos, 17 topics, and 75 practice questions. You’ll learn through on-demand content, meaning you can go at your own pace.
Can I start learning right away?
Absolutely! The course offers instant access, meaning you can get started with your learning journey immediately after signing up.
What’s the outcome of completing this course?
On completing the course, you should become familiar with Power BI and other data analysis tools. Plus, you’ll gain hands-on experience by working on projects. As a bonus, this course also preps you for the Microsoft Certified: Data Analyst certification, which can be obtained by passing two exams: DA-100 and DA-101. This certification can bolster your professional profile in the data analysis field.
Proudly DisplayYour Achievement
Upon completion of your training, you’ll receive a personalized certificate of completion to help validate to others your new skills.
Course Outline
Microsoft SQL Server 2019 - Introduction to Data Analysis Course Content
Module 1 - Query Tools
1.1 Course Introduction
1.2 Intro to Management Studio
1.3 Intro to command-line query tools
Module 2 - Introduction to T-SQL Querying
2.1 Introducing T-SQL
2.2 Understanding Sets
2.3 Understanding the Logical Order of Operations in SELECT statements
Module 3 - Basic SELECT Queries
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
Module 4 - Querying Multiple Tables
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
Module 5 - Sorting and Filtering Data
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
Module 6 - Introduction to Business Intelligence and Data Modeling
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
Module 7 - Prepare Data
7.1 Introduction to Power BI
7.2 Get data from various data sources
7.3 Preview source data
Module 8 - Clean, Transform, and Load 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
Module 9 - Design a Data Model
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
Module 10 - Create Model Calculations using DAX
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
Module 11 - Create Reports
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
Module 12 - Create Dashboards
12.1 Dashboard Basics
12.2 Real Time Dashboards
12.3 Enhanced Dashboards
Module 13 - Create Paginated Reports
13.1 Introduction to Power BI Report Builder
13.2 Report Layouts
13.3 Report Data
13.4 Report Tables
Module 14 - Perform Advanced Analytics
14.1 Introduction to Advanced Analytics
14.2 Scatter Chart
14.3 Forecast
14.4 Decomposition Tree
14.5 Key Influencers
Module 15 - Create and Manage Workspaces
15.1 Introduction to Workspaces
15.2 Working with Workspaces and the Portal
Module 16 - Create Power App Visuals
16.1 Introduction to Power Apps Visual
16.2 Creating the App
16.3 Basic Power Apps Concepts
16.4 Refreshing the Report
Module 17 - Analysis Services and Power BI
17.1 Introduction to Analysis Services
17.2 Connecting with Multidimensional Models
17.3 Premium Workspaces and Analysis Services
17.4 Course Wrap Up
Your Training Instructor
James is a full-stack developer with over 40 years of experience. He has developed applications across all major industries and for Fortune 100 companies as well as local small businesses. James has also been teaching technology courses for over 20 years. In addition to his extensive background in technology, he has also worked as a professional opera singer.
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Microsoft SQL Server 2019 – Data Analysis
Microsoft SQL Server 2019 – Data Analysis
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