Business Intelligence and Data Mining
Business Intelligence and Data Mining
Extra Included :
- In-depth coverage of fundamental concepts in business intelligence and data mining.
- Practical training on various data mining techniques, including classification, clustering, association rule mining, and anomaly detection.
- Hands-on experience with popular BI and data mining tools such as Tableau, Power BI, RapidMiner, and Weka.
- Exploration of data preprocessing techniques, feature selection, and model evaluation methods.
- Real-world case studies and projects to apply learned concepts in solving business problems.
- Expert-led lectures, tutorials, and demonstrations to guide participants through the learning process.
- Access to a curated library of resources, including textbooks, research papers, and online tutorials.
- Opportunity to network with fellow participants and industry professionals through discussion forums and online communities.
Key Features of PAT Testing Training:
- Interactive video lectures by industry experts
- Instant e-certificate and hard copy dispatch by next working day
- Fully online, interactive course with audio voiceover
- Developed by qualified first aid professionals
- Self paced learning and laptop, tablet, smartphone friendly
- 24/7 Learning Assistance
- Discounts on bulk purchases
Learning Outcomes
- Understand the principles and methodologies of business intelligence and data mining.
- Gain proficiency in using BI and data mining tools to analyze large datasets and extract meaningful insights.
- Apply various data mining techniques to solve real-world business problems.
- Develop skills in data preprocessing, feature selection, and model evaluation.
- Enhance decision-making capabilities through data-driven insights.
- Create visually compelling dashboards and reports to communicate insights effectively.
- Identify patterns, trends, and anomalies in data to support strategic business decisions.
- Drive business growth and innovation by leveraging data effectively across the organization.
Who Should Take This Course
- Business professionals seeking to leverage data to drive strategic decision-making and gain a competitive advantage.
- Data analysts, data scientists, and BI specialists interested in enhancing their skills in data mining and analytics.
- IT professionals responsible for implementing BI solutions and managing data infrastructure.
- Entrepreneurs and business owners looking to harness the power of data to optimize operations and drive business growth.
Certification
Once you’ve successfully completed your course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post. All of our courses are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.
Assessment
At the end of the Course, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven’t, there’s no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself.
Course Curriculum
Module 01: What is Business Intelligence? 
00:05:00 Module 02: Starting Case in understanding BI needs in diff phase of business 00:07:00 Module 03: Decision Making Process and Need of IT systems 00:20:00 Module 04: Problem Structure and Decision Support System 00:11:00Module 05: Introduction to BI Applications 00:18:00 Module 06: Dashboard presentation systems 00:07:00 Module 07: Different Types of Charts used in 131 Dashboards 00:30:00 Module 08: Good Dashboard and BSC 00:13:00 Module 09: Examples of Bad Dashboards 1 00:07:00 Module 10: Examples of Bad Dashboards 2 00:01:00 Module 11: Process of KPI Development 00:26:00 Module 12: Overview of Data warehouse 00:08:00 Module 13: More explaining of data warehouse and steps in processing 00:09:00 Module 14: Data Warehouse Architecture –Tiers 00:18:00 Module 15: Data Warehouse – components 00:15:00 Module 16: Approach to develop data structure and Models of database 00:16:00 Module 17: Basics of Data Mining – Meaning 00:35:00 Module 18: Basics of Data Mining – Stages of DM 00:25:00 Module 19: Data Mining Technique – Classification 00:07:00 Module 20: Data mining – Clustering 00:02:00 Module 21: Data Mining – Association Rules 00:05:00 Module 22: Data Mining Applications – Banking 00:03:00 Module 23: Data Mining Applications – CRM 00:04:00 Module 24: Data Mining Applications – other industries 00:04:00
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