Microsoft SQL Server 2019 - Introduction to Data Analysis

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Microsoft SQL Server 2019 - Introduction to Data Analysis

(4 customer reviews)

| Total Course Video Hours:13 Hrs 58 Min
|  Videos: 77
|  Course Access: 12 Months Unlimited Access
|  Study Method: Online Video Lessons
|  Course Type: Certificate Course
|  Award: Cyber Studies Institute

Course Fee:

R1600,00

Current Special Ends in:

  • 00Days
  • 00Hours
  • 00Min
  • 00Sec

Overview 

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.

This course will also include information on basic T-SQL query development.

  • 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

 

Exams

This course includes an exam and certification by the Cyber Studies Institute.

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Curriculum

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

4 reviews for Microsoft SQL Server 2019 – Introduction to Data Analysis

  1. Andile

    The course had a well-structured curriculum that covered all the essential topics in a logical order.

  2. Isabella

    This course was truly outstanding. Thank you for the incredible experience.

  3. Harper

    You are truly the best in the industry. Thank you for everything!

  4. Sanelisiwe

    The course was well-designed, with visually appealing presentations and engaging multimedia elements.

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