13 Training 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.
More about Microsoft SQL Server 2019 – Introduction to Data Analysis
The Microsoft SQL Server 2019 – Introduction to Data Analysis course provides individuals with a foundational understanding of data analysis using SQL Server 2019. This course covers the basics of data analysis, including data querying, data visualization, and basic statistical analysis. Participants learn how to use SQL Server tools and techniques to extract insights from data and make informed business decisions. In this document, we will explore the knowledge benefits, career benefits, job opportunities, salary potential, and the significance of completing the Microsoft SQL Server 2019 – Introduction to Data Analysis course.
Knowledge Benefits
The Microsoft SQL Server 2019 – Introduction to Data Analysis course offers several knowledge benefits, including:
1. Fundamentals of Data Analysis: Participants gain a solid understanding of the principles and techniques of data analysis. They learn how to identify data sources, clean and transform data, and perform exploratory data analysis.
2. SQL Server Data Analysis Tools: The course covers various SQL Server tools and features designed for data analysis, including SQL Server Management Studio (SSMS), SQL Server Integration Services (SSIS), and SQL Server Reporting Services (SSRS). Participants learn how to leverage these tools for efficient data analysis.
3. Data Visualization Techniques: Participants learn how to create visualizations using SQL Server tools and techniques. They understand the importance of effective data visualization for communicating insights and trends to stakeholders.
4. Basic Statistical Analysis: The course introduces basic statistical analysis concepts, such as measures of central tendency, variability, and correlation. Participants learn how to apply these concepts to analyze data and draw meaningful conclusions.
Career Benefits
Completing the Microsoft SQL Server 2019 – Introduction to Data Analysis course can provide several career benefits, including:
1. Data Analysis Skills: Participants acquire essential skills in data analysis, including data querying, data cleansing, and data visualization. These skills are highly valued in roles such as data analysts, business analysts, and data scientists.
2. Enhanced Decision-Making Abilities: Data analysis skills enable individuals to make data-driven decisions. They can identify patterns, trends, and insights from data, allowing them to provide valuable insights to stakeholders and contribute to informed decision-making processes.
3. Expanded Job Opportunities: Proficiency in data analysis using SQL Server 2019 opens up job opportunities in various industries and sectors, including finance, healthcare, marketing, and e-commerce. Organizations require professionals who can analyze data to drive business strategies and improve performance.
Job Opportunities
Proficiency in Microsoft SQL Server 2019 – Introduction to Data Analysis can lead to job opportunities in various roles, including:
1. Data Analyst: Data analysts are responsible for gathering, analyzing, and interpreting data to provide actionable insights to organizations. They use SQL Server tools and techniques to perform data analysis tasks.
2. Business Analyst: Business analysts focus on understanding business processes, identifying areas for improvement, and making data-driven recommendations. SQL Server data analysis skills are valuable for analyzing business data and deriving insights.
3. Data Scientist: Data scientists apply advanced analytical techniques to large datasets to uncover patterns and trends. SQL Server data analysis skills provide a solid foundation for data scientists working with SQL Server databases.
Salary Potential
The salary potential for individuals with Microsoft SQL Server 2019 – Introduction to Data Analysis skills varies based on factors such as job role, experience, location, and industry. According to PayScale, the average salary for a data analyst ranges from $50,000 to $85,000 per year, while a business analyst earns an average salary between $55,000 and $95,000 per year. Data scientists can earn an average salary ranging from $65,000 to $130,000 per year, depending on experience and expertise.
Conclusion
Completing the Microsoft SQL Server 2019 – Introduction to Data Analysis course provides individuals with a solid foundation in data analysis using SQL Server tools and techniques. It equips them with essential knowledge and skills to extract insights from data, contribute to informed decision-making processes, and pursue rewarding career opportunities. By acquiring data analysis expertise, individuals position themselves for success in a data-driven world where organizations increasingly rely on data to drive strategic initiatives and achieve business objectives.
Using IT Certs Training for Microsoft SQL Server 2019 – Introduction to Data Analysis Certification
IT Certs Training is an online training company that provides comprehensive training programs for various IT certifications, including Microsoft SQL Server 2019 – Introduction to Data Analysis. The program offers several benefits, making it the best option for obtaining this certification:
1. Flexibility:
IT Certs Training provides self-paced online courses that allow learners to study at their own pace and schedule. This flexibility is particularly useful for working professionals who want to obtain a certification while continuing to work.
2. Comprehensive Curriculum:
The IT Certs Training curriculum covers all the topics and skills required to pass the Microsoft SQL Server 2019 – Introduction to Data Analysis certification exam. The program provides videos, practice tests, and study materials that are designed to help learners master the exam objectives.
3. Experienced Instructors:
The program instructors are experienced professionals who have extensive knowledge and expertise in IT Networking and CyberSecurity in addition to many other areas of expertise. They provide guidance and support to learners throughout the training program.
4. Exam Preparation:
IT Certs Training provides exam preparation materials, including practice exams and study guides. These resources help learners prepare for the certification exam and increase their chances of passing it on the first try.
5. Cost-Effective:
The IT Certs Training program is cost-effective compared to other training programs. The program offers affordable pricing and provides value for money by offering comprehensive training and exam preparation resources.
Course Outline
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
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