This course teaches you three main things:
1. Meaning of Business Intelligence and process of developing business intelligence system
We will lead you through the process of making business decisions, the process of analysis, how to develop Dashboards, how to identify KPIs, and align with business needs.
2. Meaning of Data and basics of database management and design
In this section we will learn what data is included (it’s much more than text and tables), how we store the data and analyze the data through data warehouse process.
3. Understand what data mining is and how data mining can be used in business
We will take you through basis process of data mining. THIS COURSE IS NOT FOR YOU IF YOU ARE LOOKING TO LEARN ALGORITHMS OR REAL PROGRAMMING. In this course we focus on how you can use data mining techniques in understanding and resolving business problems.
Business Intelligence is necessary at every step of business whether planning, growing, scaling, and day-to-day decision making. We will learn how we can create intelligent systems.
We also learn how to design and create a dashboard by choosing the right KPIs balancing all key prospects of the business. The cornerstone of business intelligence is data and its storage. We will learn what are different types of data and how it is stored in a database. We will earn the essentials of data ware.
Data mining is important due to the large data volumes generated by society. We will learn how we can use this vast data in business applications.
Course Key Concepts: Business Intelligence, Data Mining practical use, Data warehouse, Database design, Use of data analysis.
Learning Objectives
- Identify and understand the meaning of Meaning of Business Intelligence and how we make decisions.
- Explore different types of Data and methods of Data Analysis.
- Recognize how to develop Business Intelligence and Performance Dash Boards.
- Discover and learn how to KPIs and development process.
- Explore fundamentals of Data Mining, Data Warehouse and Database Structures.
6 Reviews (48 ratings)
Reviews
Prerequisites
No advanced preparation or prerequisites are required for this course.