Fundamentals of Business Intelligence and Introduction to Data Mining
24 modules
English
Till 3 days
<p>Business Intelligence is necessary at every step of business whether planning, growing, scaling, or day-to-day decision-making. We will learn how we can create intelligent systems.</p> <p>We will also learn how to design and create a dashboard by choosing the right KPIs balancing all key prospects of the business.</p> <p>The cornerstone of business intelligence is data and its storage. we will learn what different types of data are and how it is stored in a database. We will earn the essentials of data ware.</p> <p>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.</p>
Overview
1. Meaning Business Intelligence and the process of developing a business intelligence system
We will let you through the process of making business decisions, the process of analysis, How to develop Dashboards, and 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 analysise the data through the data warehouse process
3. Understand what is data mining and how data mining can be used in business.
We will take you through the 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 will focus on how you can use data mining techniques in understanding and resolve business problems.
Modules
1. What is Business Intelligence
2. Startong Case in understanding BI needs in diff phase of business
3. Decision Making Process and Need of IT systems
4. Problem Structure and Decision Support System
5, Introduction to BI Applications
6. Dashboard presentation systems
7. Different Types of Charts used in BI DashBoards
8. Good DashBoard and BSC
9. Examples of Bad Dashboards 1
9. Examples of Bad Dashboards 2
10. Process of KPI Development
11. Overviw of Datawarehouse
11.1 More explaining of data warehouse and steps in processing
12. Data Warehouse Architecture - Tiers
13. Data Warehouse - compomemts
14. Approach to develop data structure and Models of database
15. Basics of Data Mining - Meaning
15.1 Basics of Data Mining - Stages of DM
16. Data Mining Technique - Classification
17. Data mining - Clustering
18. Data Mining - Association Rules
19. Data Mining Applicatons - Banking
19. Data Mining Applicatons - CRM
19. Data Mining Applicatons - other industries
Rate this Course
Free
Order ID:
This course is in your library
What are you waiting for? It’s time to start learning!
Wait up!
We see you’re already enrolled in this course till Till 3 days . Do you still wish to enroll again?
