Self-paced

Microsoft Sql Server Training Series – 16 Courses

This SQL Server training series has it all. For years, Microsoft has been the go-to brand for database technology and it remains a top preference among many corporations and individual users alike. This comprehensive training series covers versions 2012 through 2019 of Microsoft SQL Server that are still extensively utilized at present. You will be given an in-depth look into SQL Server administration, database design, analysis services, reporting services, PowerBI and more during this learning program.

 

With internship

$874

$1199

or

Without internship

$279

$699

this course includes

188 Training Hours

1,010 On-demand Videos

Closed Captions

194 Topics

1,405 Prep Questions

Certificate of Completion

SERIES INCLUDES:
16 COURSES

01

Introduction to Microsoft Power BI

02

Querying SQL Server 2012

03

Administering SQL Server 2012 Databases

04

Implementing a Data Warehouse with SQL Server 2012

05

Developing Microsoft SQL Server 2012 Databases

06

Designing Database Solutions for Microsoft SQL Server 2012

07

Implementing Data Models & Reports with SQL Server 2012

08

Designing Business Intelligence Solutions with SQL Server 2012

09

SQL 2016 – Administering a SQL Database Infrastructure

10

SQL Server 2016 Provisioning SQL Databases

11

Big Data

12

Introduction to Data Analysis

13

Querying SQL Server

14

Administration

15

Analysis Services (SSAS)

16

Database Design

What you will learn in the Online Microsoft SQL Server Training Course

Whether you are a beginner or an experienced user, this SQL Server training online course from ITU will give you the knowledge and skills necessary to use Microsoft SQL Server confidently and effectively. You will gain a comprehensive understanding of key topics related to the technology and have an opportunity to apply your newfound knowledge through hands-on labs and quizzes. After completing the course, you can demonstrate your expertise by earning certifications in various areas, such as database security and business intelligence operations. With ITU’s self-paced learning approach, you can progress at your own pace while gaining the confidence and SQL skills necessary to succeed in the Microsoft SQL Server environment. Sign up today and get started!

course CURRICULUM

Microsoft SQL Server 2019 - Introduction to Data Analysis Course Content

Module 1 - Query Tools
Module 2 - Introduction to T-SQL Querying
Module 3 - Basic SELECT Queries
Module 4 - Querying Multiple Tables
Module 5 - Sorting and Filtering Data
Module 6 - Introduction to Business Intelligence and Data Modeling
Module 7 - Prepare Data
Module 8 - Clean, Transform, and Load Data
Module 9 - Design a Data Model
Module 10 - Create Model Calculations using DAX
Module 11 - Create Reports
Module 12 - Create Dashboards
Module 13 - Create Paginated Reports
Module 14 - Perform Advanced Analytics
Module 15 - Create and Manage Workspaces
Module 16 - Create Power App Visuals
Module 17 - Analysis Services and Power BI

Microsoft SQL Server 2019 - Querying SQL Server Course Content

Module 1 - Query Tools
Module 2 - Introduction to T-SQL Querying
Module 3 - Basic SELECT Queries
Module 4 - Querying Multiple Tables
Module 5 - Sorting and Filtering Data
Module 6 - Working with SQL Server Data Types
Module 7 - Using DML to Modify Data
Module 8 - Using Built-In Functions
Module 9 - Grouping and Aggregating Data
Module 10 - Using Subqueries
Module 11 - Using Table Expressions
Module 12 - Using Set Operators
Module 13 - Using Window Ranking, Offset, and Aggregate Functions
Module 14 - Pivoting and Grouping Sets
Module 15 - Implementing Error Handling
Module 16 - Managing Transactions

SQL Server 2019 Database Design Course Content

Module 1 - Designing and Building Tables
Module 2 - Enforcing Data Integrity
Module 3 - Indexing
Module 4 - Stored Procedures, Functions, and Triggers
Module 5 - Blob and Filestream Data
Module 6 - Full-Text Search
Module 7 - Azure vs On-Prem

Microsoft SQL Server 2019 Analysis Services (SSAS) Course Content

Module 1 - Introduction to Business Intelligence and Data Modeling
Module 2 - Multidimensional Databases
Module 3 - Cubes and Dimensions
Module 4 - Measures and Measure Groups
Module 5 - Introduction to MDX
Module 6 - Customizing Cube Functionality
Module 7 - Tabular Data Models
Module 8 - Data Analysis Expressions (DAX)
Module 9 - Data Mining

Introduction to Microsoft Power BI Course Content

Module 1 - Prepare Data
Module 2 - Clean, Transform, and Load Data
Module 3 - Design a Data Model
Module 4 - Create Model Calculations using DAX
Module 5 - Create Reports
Module 6 - Create Dashboards
Module 7 - Create Paginated Reports
Module 8 - Perform Advanced Analytics
Module 9 - Create and Manage Workspaces
Module 10 - Create Power App Visuals
Module 11 - Analysis Services and Power BI

Week 6: fooMicrosoft SQL Server - Big Data Course Contenttprinting and recoinnaissance

Module 1: What are Big Data Clusters?
Module 2: Big Data Cluster Architecture
Module 3: Deployment of Big Data Clusters
Module 4: Loading and Querying Data in Big Data Clusters
Module 5: Working with Spark in Big Data Clusters
Module 6: Machine Learning on Big Data Clusters
Module 7: Create and Consume Big Data Cluster Apps
Module 8: Maintenance of Big Data Clusters

Microsoft SQL Server 2019 Administration Course Content

Module 1: Installation
Module 2: Data Storage
Module 3: Data Recover
Module 4: Monitoring
Module 5: Security
Module 6: Maintenance

Microsoft 70-765 SQL Server 2016 Provisioning SQL Databases Course Content

Module 1: Deploy a Microsoft Azure SQL Database
Module 2: Plan for SQL Server Installation
Module 3: Deploy SQL Server Instances
Module 4: Deploy SQL Server Databases to Azure Virtual Machines
Module 5: Configure Secure Access to Microsoft Azure SQL Databases
Module 6: Configure SQL Server performance settings
Module 7: Manage SQL Server instances
Module 8: Manage SQL Storage
Module 9: Perform Database Maintenance

Microsoft 70-764 SQL 2016 - Administering a SQL Database Infrastructure Course Content

Module 1: Configure Encryption
Module 2: Configure Data Access and Permissions
Module 3: Configure Auditing
Module 4: Develop a Backup Strategy
Module 5: Restore Databases
Module 6: Manage Database Integrity
Module 7: Monitor Database Activity
Module 8: Monitor Queries
Module 9: Manage Indexes
Module 10: Monitor SQL Server Instances
Module 11: Implement Log Shipping
Module 12: Implement Failover Cluster Instances
Module 13: Implement Always On Availability Groups

Microsoft 70-467: Designing Business Intelligence Solutions with SQL Server 2012 Course Content

Module 1: Intro To Business Intelligence
Module 2: Database Essentials
Module 3: Business Intelligence Development
Module 4: Business Intelligence Results
Module 5: Advanced Reporting And Development
Module 6: SQL Server Integration Services (SSIS)
Module 7: SQL Server 2014 New Features
Module 8: Course Review And Exam Prep

Microsoft 70-466: Implementing Data Models & Reports with SQL Server 2012 Course Content

Module 1: Introduction To Business Intelligence And Data Modeling
Module 2: Implementing Reports The SQL Server Reporting Services
Module 3: Supporting Self Service Reporting
Module 4: Managing Report Execution And Delivery
Module 5: Creating Multidimensional Databases
Module 6: Working With Cubes And Dimensions
Module 7: Working With Measures And Measure Groups
Module 8: Introduction To MDX
Module 9: Customizing Cube Functionality
Module 10: Implementing A Tabular Data Model
Module 11: Introduction To DAX
Module 12: Implementing An Analysis Services Tabular Data Model
Module 13: SQL Analysis Services
Module 14: Creating Data Visualizations With Power View
Module 15: Supporting Self Service Reporting
Module 16: Performing Predictive Analysis With Data Mining
Module 17: Predictive Analytics

Microsoft 70-465: Designing Database Solutions for Microsoft SQL Server 2012 Course Content

Module 1: Designing A Database Server Infrastructure
Module 2: Designing A Logical Database Scheme
Module 3: Designing A Physical Database Implementation
Module 4: Incorporating Data Files Into the Database
Module 5: Tuning Database Performance
Module 6: Designing Database Security
Module 7: Policy Based Management
Module 8: Monitoring Server Health
Module 9: Designing Database Backup Solution
Module 10: Automating Multi Server Maintenance
Module 11: Managing SQL Server With Windows Powershell
Module 12: Replicating Data
Module 13: Planning High Availability
Module 14: Review of SQL Statements
Module 15: Eleven Rules of Database Design

Microsoft 70-464: Developing Microsoft SQL Server 2012 Databases Course Content

Module 1: SQL 2012 And The 464 Test
Module 2: Working With Data Types
Module 3: Tables
Module 4: Data Constraints
Module 5: Planning In Indexing
Module 6: Table Structures
Module 7: Improving Performance with Non-Clustered Indexes
Module 8: Using Indexes And Execution Plans
Module 9: Working with Views
Module 10: Designing and Implementing Stored Procedures
Module 11: Merging Data and Passing Tables
Module 12: Designing and Implementing User Functions
Module 13: Creating Highly Concurrent SQL Server Applications
Module 14: Handling Errors in T-SQL
Module 15: Triggers
Module 16: Implementing Managed Code
Module 17: Storing XML in SQL
Module 18: Querying XML
Module 19: Working with the Spatial Data
Module 20: Working With Full-Text Indexes and Queries

Microsoft 70-461: Querying SQL Server 2012 Course Content

Lesson 1: Getting Started with SQL Server 2012
Lesson 2: Working with T-SQL
Lesson 3: Writing SELECT Queries
Lesson 4: Working with SQL Data Types
Lesson 5: Sorting and Filtering Data
Lesson 6: Querying Data from Multiple Tables
Lesson 7: Modifying Data
Lesson 8: Working with SQL Server Built-in Functions
Lesson 9: Programming in T-SQL
Lesson 10: Implementing Stored Procedures
Lesson 11: Working with Subqueries and Table Expressions
Lesson 12: Working with Set Operators, Conditional Operators, and Window Functions
Lesson 13: Working with PIVOT, UNPIVOT, and Grouping Sets
Lesson 14: Managing Error Handling and Transactions
Lesson 15: Querying SQL Server System
Lesson 16: Optimizing Query Performance

Microsoft 70-462: Administering SQL Server 2012 Databases Course Content

Lesson 1: Identifying the SQL Server Platform
Lesson 2: Deploying SQL Server
Lesson 3: Configuring SQL Server
Lesson 4: Managing Databases in SQL Server 2012
Lesson 5: Managing SQL Server Security
Lesson 6: Implementing Advanced Security Settings
Lesson 7: Applying Encryption and Compression
Lesson 8: Working with Indexes and Log Files
Lesson 9: Working with Backup and Restore
Lesson 10: Implementing High Availability
Lesson 11: Optimizing Server Performance
Lesson 12: Troubleshooting Issues and Recovering Databases
Lesson 13: Performing Advanced Database Management Tasks

Microsoft 70-463: Implementing a Data Warehouse with SQL Server 2012 Course Content

Lesson 1: Introduction to Data Warehouse
Lesson 2: Creating Dimensions and Changing Granularity of Dimensions
Lesson 3: Creating Fact Tables and ColumnStore Indexes
Lesson 4: Implementing Data Warehouse in SQL Server 2012
Lesson 5: Working with Integration Services
Lesson 6: Managing Control Flow
Lesson 7: Working with Dynamic Variables
Lesson 8: Implementing Data Flow
Lesson 9: Managing Data Flow
Lesson 10: Managing SSIS Package Execution
Lesson 11: Debugging and Troubleshooting
Lesson 12: Deploying Packages
Lesson 13: Securing Packages and Databases
Lesson 14: Working with MDS and Windows

Why become a Cybersecurity Engineer?

Growing Demand for Cybersecurity Professionals

The field of cybersecurity is experiencing rapid growth, driven by the escalating number and complexity of cyber threats. Both public and private sectors are investing heavily in cybersecurity measures to protect sensitive information and secure critical infrastructure. This increased investment has created a substantial demand for cybersecurity professionals, and the job market is teeming with opportunities. By becoming a cybersecurity engineer, you position yourself at the forefront of a booming industry with a multitude of career prospects.

Lucrative Salaries and Career Advancement

Cybersecurity professionals are highly sought after, and as a result, they enjoy attractive salaries and excellent benefits. The specialized skills and expertise required in this field command a premium in the job market. Furthermore, as you gain experience and demonstrate your capabilities, the potential for career advancement becomes significant. Cybersecurity engineers can progress to leadership positions, such as Chief Information Security Officer (CISO), and take on strategic roles in shaping an organization's security posture.

Global Relevance and Job Security

Cybersecurity is a global concern affecting organizations of all sizes and industries worldwide. The need for cybersecurity professionals extends beyond borders, making it a globally relevant field. By becoming a cybersecurity engineer, you equip yourself with skills that are in demand not only locally but also internationally. Job security in the field of cybersecurity is robust, as the increasing threat landscape ensures a constant need for skilled professionals to protect against attacks and mitigate risks.

Continuous Learning and Growth

The field of UX/UI design is dynamic and ever-evolving. To stay competitive, designers need to keep learning and adapting to new technologies and design trends. This continuous learning keeps the work interesting and provides opportunities for personal and professional growth.

Opportunities for growth

As software testers gain experience and develop their skills, they can take on more challenging roles and responsibilities. This can lead to promotions and career advancement opportunities. Most Manual testers progress to QA automation, Software development, DevOps, or Cloud Engineering.

Our Talents Work Here
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Our talentstories

We connect learners with peers and experts from around the world, facilitating networking and collaboration opportunities.

IBT Training's DevOps course provided a comprehensive and insightful learning experience with valuable hands-on exercises. While the internship placement was beneficial, additional guidance could enhance the overall transition. Overall, IBT Training lays a solid foundation for entering the DevOps field.

Olaniyan Olatunde Kubernetes Admin, Microsoft

Enrolling in this course proved career-defining, offering invaluable knowledge and a guaranteed internship. It set me on a path to success, delivering everything promised—free certification, ongoing learning, and the ability to pass my sec+ on the first try.

Solomon Awuku Cybersecurity Analyst, Tek Computers

Upon completing the class, I felt confident and prepared to embark on a career in cybersecurity. The skills and knowledge I acquired have already proven invaluable, as I find myself better equipped to tackle real-world challenges and contribute to the protection of digital assets.

Raymond A. CYBERSECURITY ANALYST BLUE CROSS

"IBT Learning is an outstanding tech school, with experienced teachers. Graduates gain hands-on experience with management tools such as Git, Maven, Nexus, SonarQube, Ansible, Docker for microservices, Kubernetes for container orchestration, and Terraform for Infras as Code"

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Your Questions, Answered

What is the comprehensive Microsoft SQL training program?

The comprehensive Microsoft SQL training program is a series of courses designed to provide in-depth knowledge and skills in various aspects of SQL, including Microsoft Business Intelligence (BI), SQL Server administration, and related certifications such as Microsoft 70-461, 70-462, 70-463, 70-464, 70-465, 70-466, 70-467, 70-764, and 70-765. It also covers topics like SQL Big Data and SQL Server Analysis Services (SSAS).

What is Microsoft Business Intelligence (BI)?

Microsoft Business Intelligence (BI) refers to a suite of tools and technologies that enable organizations to gather, store, analyze, and visualize data for making informed business decisions. The comprehensive SQL training program covers various BI components such as SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), and SQL Server Reporting Services (SSRS).

What is SQL Big Data?

SQL Big Data is a term used to describe the integration of SQL technologies with big data platforms and technologies. It allows users to process and analyze large volumes of structured and unstructured data using SQL queries and familiar SQL tools. The comprehensive SQL training program covers the concepts, tools, and techniques related to SQL Big Data processing.

What is SQL Server Analysis Services (SSAS)?

SQL Server Analysis Services (SSAS) is a component of Microsoft SQL Server that enables the creation, deployment, and management of online analytical processing (OLAP) cubes and data mining models. It provides powerful multidimensional data analysis capabilities for business intelligence applications. The training program covers the fundamentals of SSAS and its integration with SQL Server.

What is SQL Server data administration?

SQL Server data administration refers to the management and maintenance of SQL Server databases, including tasks such as database installation, configuration, backup and recovery, performance optimization, and security management. The comprehensive training program covers essential skills and best practices for SQL Server data administration.

How long does the comprehensive Microsoft SQL training program typically take?

The duration of the comprehensive Microsoft SQL training program can vary depending on the specific course or certification track chosen, as well as the individual’s prior knowledge and learning pace. However, on average, completing the entire program may take several months of dedicated study and practice.

What are the prerequisites for the training program?

The prerequisites for the comprehensive Microsoft SQL training program may vary depending on the specific course or certification being pursued. However, a basic understanding of SQL fundamentals and database concepts is recommended. Familiarity with Microsoft Windows operating system and general computer literacy is also beneficial.

Are there any hands-on exercises or projects included in the training program?

Yes, the comprehensive Microsoft SQL training program typically includes hands-on exercises, practical labs, and projects to reinforce the theoretical concepts and provide real-world experience. These exercises and projects may involve working with SQL Server databases, designing and implementing BI solutions, and performing data analysis tasks using SQL tools.

Is it useful to learn about SQL 2012 or SQL 2016?

An absolute yes. Microsoft SQL server is a high end enterprise level database. There are substantial costs associated with large organizations upgrading to newer versions of Microsoft SQL. As such, many corporate environments rely heavily on prior versions of SQL.

Additionally, many of the principles you will learn in this training series are foundations needed to work with any version of Microsoft SQL Server.