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Updated in [May 17th, 2023]

Welcome to the Business Analysis Business Intelligence Analyst Course 2022! This course is designed to help you develop the skills and knowledge necessary to become a successful business analyst and business intelligence analyst. You will learn how to use statistics, SQL, Tableau, and problem solving to calculate business performance, create a strategic plan for how your company can use data to improve performance, and understand a company's H2R, R2R, S2P, and O2C end-to-end processes. You will also gain an understanding of the significance of the Master Data function and the key value drivers.

Course Overview: This course will provide you with the skills and knowledge necessary to become a successful business analyst and business intelligence analyst. You will learn how to use statistics, SQL, Tableau, and problem solving to calculate business performance, create a strategic plan for how your company can use data to improve performance, and understand a company's H2R, R2R, S2P, and O2C end-to-end processes.

Possible Development Directions: After completing this course, you will be able to perform historical analysis, variance analysis, trend analysis, value-based analysis, correlation, time series analysis, regression, and machine and deep learning. You will also gain an understanding of the factors that contribute to a successful analytics project.

Related Learning Suggestions: To further develop your skills, you may want to consider taking additional courses in data science, machine learning, and artificial intelligence. Additionally, you may want to explore the use of data visualization tools such as Tableau and Power BI to gain a better understanding of how to present data in a meaningful way. Finally, you may want to consider taking courses in project management and business process improvement to gain a better understanding of how to effectively manage and improve business processes.

[Applications]
The Business Analysis Business Intelligence Analyst Course 2022 provides a comprehensive overview of the skills and knowledge needed to become a successful business analyst. After completing the course, participants will be able to apply their knowledge to create a strategic plan for how their company or employer can use data to improve performance. They will also be able to understand how to calculate business performance, develop an understanding of a company's H2R, R2R, S2P, and O2C end-to-end processes, and determine the key value drivers. Additionally, participants will be able to perform historical analysis, variance analysis, trend analysis, value-based analysis, correlation, time series analysis, regression, and machine and deep learning. Finally, they will be able to understand what factors contribute to a successful analytics project.

[Career Paths]
1. Business Analyst: Business Analysts are responsible for analyzing data and developing strategies to improve business performance. They use data to identify trends, develop insights, and create actionable plans. They also work with stakeholders to ensure that the plans are implemented effectively. As the demand for data-driven decision-making increases, the need for Business Analysts is expected to grow.

2. Business Intelligence Analyst: Business Intelligence Analysts are responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. They use data to identify trends, develop insights, and create actionable plans. They also work with stakeholders to ensure that the plans are implemented effectively. As the demand for data-driven decision-making increases, the need for Business Intelligence Analysts is expected to grow.

3. Data Scientist: Data Scientists are responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. They use data to identify trends, develop insights, and create actionable plans. They also work with stakeholders to ensure that the plans are implemented effectively. As the demand for data-driven decision-making increases, the need for Data Scientists is expected to grow.

4. Machine Learning Engineer: Machine Learning Engineers are responsible for developing and deploying machine learning models to help organizations make informed decisions. They use data to identify trends, develop insights, and create actionable plans. They also work with stakeholders to ensure that the plans are implemented effectively. As the demand for data-driven decision-making increases, the need for Machine Learning Engineers is expected to grow.

[Education Paths]
1. Bachelor of Science in Business Analytics: This degree program focuses on the application of data analysis and predictive modeling to solve business problems. Students learn to use data-driven decision-making to improve business performance. They also gain an understanding of the principles of data mining, machine learning, and artificial intelligence. The degree program also covers topics such as data visualization, data warehousing, and data governance.

2. Master of Science in Business Intelligence: This degree program focuses on the development of data-driven strategies to improve business performance. Students learn to use data-driven decision-making to identify and analyze trends, develop predictive models, and create actionable insights. They also gain an understanding of the principles of data mining, machine learning, and artificial intelligence. The degree program also covers topics such as data visualization, data warehousing, and data governance.

3. Master of Science in Data Science: This degree program focuses on the application of data science to solve business problems. Students learn to use data-driven decision-making to identify and analyze trends, develop predictive models, and create actionable insights. They also gain an understanding of the principles of data mining, machine learning, and artificial intelligence. The degree program also covers topics such as data visualization, data warehousing, and data governance.

4. Master of Science in Artificial Intelligence: This degree program focuses on the development of artificial intelligence systems to solve business problems. Students learn to use data-driven decision-making to identify and analyze trends, develop predictive models, and create actionable insights. They also gain an understanding of the principles of data mining, machine learning, and artificial intelligence. The degree program also covers topics such as data visualization, data warehousing, and data governance.

Course Syllabus

Introduction to Business Analytics

Selecting filtering and sorting data

Formulas - Business Analysis, Business Analytics 2022

Aggregation - Business Analysis, Business Analytics 2022