Microsoft SQL Server 2019 – Data Analysis

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Certificate

Dedicated Tutors

77 Videos
13 Hours
75 Test Questions

Microsoft SQL Server 2019 – Data Analysis

Course Highlights

Closed Caption

Certificate

Dedicated Tutors

13 Hours
77 Videos

Microsoft SQL Server 2019 – Data Analysis

Course Description

13 Hours

77 Videos

Microsoft SQL Server 2019 – Data Analysis

The Microsoft SQL Server 2019 – Data Analysis course is designed for data professionals who want to deepen their understanding of data analysis using SQL Server 2019. This course covers a range of techniques and tools for analyzing data, from querying and transforming data to building complex reports and visualizations. Participants will learn how to leverage SQL Server’s powerful analytical features to extract meaningful insights and support data-driven decision-making.

Key Features:

  • Advanced Querying with T-SQL: Learn advanced T-SQL techniques for querying and manipulating data, including complex joins, subqueries, and window functions to perform sophisticated data analysis.
  • Data Transformation and ETL: Explore data transformation processes, including Extract, Transform, Load (ETL) techniques using SQL Server Integration Services (SSIS) to prepare data for analysis.
  • Data Warehousing and OLAP: Understand the principles of data warehousing and Online Analytical Processing (OLAP), including designing and querying data warehouses and cubes for multidimensional analysis.
  • Business Intelligence Tools: Gain proficiency in using SQL Server Reporting Services (SSRS) to create, deploy, and manage reports, and SQL Server Analysis Services (SSAS) for building and analyzing multidimensional and tabular data models.
  • Data Visualization: Learn how to create effective data visualizations using SQL Server and integrate with Power BI to build interactive dashboards and reports that provide actionable insights.
  • Performance Tuning: Discover techniques for optimizing query performance and improving the efficiency of data analysis processes, including indexing strategies and query optimization.
  • Data Exploration and Insights: Develop skills in data exploration and discovery, using SQL Server’s analytical functions and features to uncover trends, patterns, and correlations in data.
  • Integration with External Data Sources: Understand how to integrate SQL Server with external data sources and systems to enhance data analysis and provide a comprehensive view of business data.

This course provides a thorough understanding of data analysis using SQL Server 2019, equipping professionals with the skills to leverage SQL Server’s full suite of analytical tools to drive data-informed decision-making and business strategy.

Course Highlights

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Course Syllabus

Chapter One:

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

$78.00

$78.00

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You Will Get Certification After Completion of This Course.

$78.00

Frequently Asked Questions

Instructional methods, course requirements, and learning technologies can vary significantly from one online program to the next, but the vast bulk of them use a learning management system (LMS) to deliver lectures and materials, monitor student progress, assess comprehension, and accept student work. LMS providers design these platforms to accommodate a multitude of instructor needs and preferences.

Online education may seem relatively new, but years of research suggests it can be just as effective as traditional coursework, and often more so. According to a U.S. Department of Education analysis of more than 1,000 learning studies, online students tend to outperform classroom-based students across most disciplines and demographics. Another major review published the same year found that online students had the advantage 70 percent of the time, a gap authors projected would only widen as programs and technologies evolve.

All new learning innovations are met with some degree of scrutiny, but skepticism subsides as methods become more mainstream. Such is the case for online learning. Studies indicate employers who are familiar with online degrees tend to view them more favorably, and more employers are acquainted with them than ever before. The majority of colleges now offer online degrees, including most public, not-for-profit, and Ivy League universities. Online learning is also increasingly prevalent in the workplace as more companies invest in web-based employee training and development programs.

The concern that online students cheat more than traditional students is perhaps misplaced. When researchers at Marshall University conducted a study to measure the prevalence of cheating in online and classroom-based courses, they concluded, “Somewhat surprisingly, the results showed higher rates of academic dishonesty in live courses.” The authors suggest the social familiarity of students in a classroom setting may lessen their sense of moral obligation.

Choosing the right course takes time and careful research no matter how one intends to study. Learning styles, goals, and programs always vary, but students considering online courses must consider technical skills, ability to self-motivate, and other factors specific to the medium. Online course demos and trials can also be helpful.
Our platform is typically designed to be as user-friendly as possible: intuitive controls, clear instructions, and tutorials guide students through new tasks. However, students still need basic computer skills to access and navigate these programs. These skills include: using a keyboard and a mouse; running computer programs; using the Internet; sending and receiving email; using word processing programs; and using forums and other collaborative tools. Most online programs publish such requirements on their websites. If not, an admissions adviser can help.

Frequently Asked Questions

Instructional methods, course requirements, and learning technologies can vary significantly from one online program to the next, but the vast bulk of them use a learning management system (LMS) to deliver lectures and materials, monitor student progress, assess comprehension, and accept student work. LMS providers design these platforms to accommodate a multitude of instructor needs and preferences.

Online education may seem relatively new, but years of research suggests it can be just as effective as traditional coursework, and often more so. According to a U.S. Department of Education analysis of more than 1,000 learning studies, online students tend to outperform classroom-based students across most disciplines and demographics. Another major review published the same year found that online students had the advantage 70 percent of the time, a gap authors projected would only widen as programs and technologies evolve.

All new learning innovations are met with some degree of scrutiny, but skepticism subsides as methods become more mainstream. Such is the case for online learning. Studies indicate employers who are familiar with online degrees tend to view them more favorably, and more employers are acquainted with them than ever before. The majority of colleges now offer online degrees, including most public, not-for-profit, and Ivy League universities. Online learning is also increasingly prevalent in the workplace as more companies invest in web-based employee training and development programs.

The concern that online students cheat more than traditional students is perhaps misplaced. When researchers at Marshall University conducted a study to measure the prevalence of cheating in online and classroom-based courses, they concluded, “Somewhat surprisingly, the results showed higher rates of academic dishonesty in live courses.” The authors suggest the social familiarity of students in a classroom setting may lessen their sense of moral obligation.

Choosing the right course takes time and careful research no matter how one intends to study. Learning styles, goals, and programs always vary, but students considering online courses must consider technical skills, ability to self-motivate, and other factors specific to the medium. Online course demos and trials can also be helpful.
Our platform is typically designed to be as user-friendly as possible: intuitive controls, clear instructions, and tutorials guide students through new tasks. However, students still need basic computer skills to access and navigate these programs. These skills include: using a keyboard and a mouse; running computer programs; using the Internet; sending and receiving email; using word processing programs; and using forums and other collaborative tools. Most online programs publish such requirements on their websites. If not, an admissions adviser can help.

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Description

Microsoft SQL Server 2019 – Data Analysis

The Microsoft SQL Server 2019 – Data Analysis course is designed for data professionals who want to deepen their understanding of data analysis using SQL Server 2019. This course covers a range of techniques and tools for analyzing data, from querying and transforming data to building complex reports and visualizations. Participants will learn how to leverage SQL Server’s powerful analytical features to extract meaningful insights and support data-driven decision-making.

Key Features:

  • Advanced Querying with T-SQL: Learn advanced T-SQL techniques for querying and manipulating data, including complex joins, subqueries, and window functions to perform sophisticated data analysis.
  • Data Transformation and ETL: Explore data transformation processes, including Extract, Transform, Load (ETL) techniques using SQL Server Integration Services (SSIS) to prepare data for analysis.
  • Data Warehousing and OLAP: Understand the principles of data warehousing and Online Analytical Processing (OLAP), including designing and querying data warehouses and cubes for multidimensional analysis.
  • Business Intelligence Tools: Gain proficiency in using SQL Server Reporting Services (SSRS) to create, deploy, and manage reports, and SQL Server Analysis Services (SSAS) for building and analyzing multidimensional and tabular data models.
  • Data Visualization: Learn how to create effective data visualizations using SQL Server and integrate with Power BI to build interactive dashboards and reports that provide actionable insights.
  • Performance Tuning: Discover techniques for optimizing query performance and improving the efficiency of data analysis processes, including indexing strategies and query optimization.
  • Data Exploration and Insights: Develop skills in data exploration and discovery, using SQL Server’s analytical functions and features to uncover trends, patterns, and correlations in data.
  • Integration with External Data Sources: Understand how to integrate SQL Server with external data sources and systems to enhance data analysis and provide a comprehensive view of business data.

This course provides a thorough understanding of data analysis using SQL Server 2019, equipping professionals with the skills to leverage SQL Server’s full suite of analytical tools to drive data-informed decision-making and business strategy.

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