Overview

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. 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. Web development comes in many flavors.  And we have a bundle that covers many of them.  Get this hot deal that includes 13 courses and over 100 hours of training If you’re ready to dive into Java Programming, this JavaScript Fundamentals online training course is for you! You’ll start with the basics and work your way up to advanced levels. Not only will you get a comprehensive introduction to object-oriented programming, but also learn many other core Java features in detail. Don’t miss out on this opportunity – sign up now and make strides in mastering Java today! NO CREDIT CARD REQUIRED In this course you will learn how to start building enterprise web applications. This course will provide you with training in web development, C Sharp, HTML and CSS, SQL Server, JavaScript, Object Based JavaScript, Model View and Controller, and jQuery. In this Microsoft 70-487 course you will learn how to access data, query and manipulate data by using the entity framework, create and consume web API-based services, design and implement web services, and deploy in Microsoft Azure and Web Services.

Your Training Instructor

James Ring-Howell

Microsoft Certified Trainer | Microsoft Certified Developer | Database Expert

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.

  • 13 Traning Hours
  • 77 Videos
  • 17 Topics
  • 75 Practice Questions

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.

Microsoft SQL Server 2019 – Introduction to Data Analysis Course Outline

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