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In today's data-driven business world, it's crucial to know how to collect, analyse, and interpret data effectively. The Use of Business Intelligence: Basics of Data & Data Mining course provides a comprehensive introduction to the principles of business intelligence and data mining.

£79.99
Course Access

Unlimited Duration

Last Updated

01/06/2023

Students Enrolled

00

Course Duration

4 hours, 56 minutes

Course Instructor
Certification
In today's data-driven business world, it's crucial to know how to collect, analyse, and interpret data effectively. The Use of Business Intelligence: Basics of Data & Data Mining course provides a comprehensive introduction to the principles of business intelligence and data mining.

The course is designed for professionals, students, and anyone who wants to gain knowledge and skills in the field of business intelligence. The course covers essential topics, including data collection and analysis, data warehousing, data visualisation, and data mining.

Throughout the course, you'll learn how to use various tools and techniques to collect and analyse data, including SQL, Python, and Excel. You'll also learn how to use data to make informed business decisions, such as identifying trends, predicting future outcomes, and optimising business processes.

Throughout the course, you'll learn how to use various tools and techniques to collect and analyse data, including SQL, Python, and Excel. You'll also learn how to use data to make informed business decisions, such as identifying trends, predicting future outcomes, and optimising business processes.

By the end of the course, you'll have a solid understanding of the fundamentals of business intelligence and data mining, as well as the practical skills needed to apply these principles in a real-world business setting. Whether you're looking to start a career in business intelligence or want to enhance your existing skills, this course will provide you with a solid foundation to build upon.

What you will learn

  • Understanding Business Intelligence: Students will gain a comprehensive understanding of the role and importance of business intelligence in modern organisations. They will learn how business intelligence can drive informed decision-making and improve overall business performance.
  • Data Analysis Fundamentals: Students will acquire essential skills in data analysis, including techniques and methodologies for analysing and interpreting data. They will learn how to identify patterns, trends, and insights from data and present their findings effectively using data visualisation techniques.
  • Data Mining Techniques: Students will explore various data mining techniques and algorithms used to extract valuable information from large datasets. They will learn how to preprocess and clean data to ensure data quality and employ data mining algorithms to discover patterns, associations, and correlations.
  • Predictive Analytics and Machine Learning: Students will be introduced to predictive analytics and its significance in business intelligence. They will gain knowledge of machine learning algorithms and their applications in building predictive models. Students will learn how to leverage machine learning techniques to make data-driven predictions and forecasts.
  • Business Intelligence Implementation: Students will learn how to design and implement business intelligence systems effectively. They will understand the principles of data warehousing and data integration and explore best practices for data governance, privacy, and security in the context of business intelligence.
  • Ethical Considerations in Business Intelligence: Students will develop an awareness of the ethical implications associated with the use of business intelligence. They will learn about privacy, consent, and legal considerations in data collection and analysis. Students will understand the importance of responsible and ethical use of business intelligence tools and techniques.

Is this course for you?

This course is ideal for those who work in or aspire to work in the following professions:
  • Business Professionals: Professionals working in various roles within organizations, such as managers, analysts, consultants, and executives, who need to make data-driven decisions and leverage business intelligence tools and techniques.
  • Data Analysts: Individuals aspiring to become data analysts or enhance their data analysis skills will benefit from this course. It provides them with a strong foundation in data analysis techniques, data mining, and predictive analytics.
  • IT Professionals: IT professionals involved in the implementation and maintenance of business intelligence systems, data warehouses, and data integration solutions will find this course valuable. It equips them with the knowledge required to design and implement effective business intelligence solutions.
  • Students and Graduates: Students pursuing degrees or certifications in business, data science, or related fields can benefit from this course. It provides them with essential skills and knowledge in business intelligence, data analysis, and data mining, enhancing their employability in the job market.
  • Entrepreneurs and Business Owners: Individuals starting their own businesses or managing small to medium-sized enterprises can gain insights into leveraging data effectively to make informed business decisions. They will learn how to implement business intelligence systems and use data mining techniques to gain a competitive edge.

Why Choose this course?

  • Conducted by industry experts
  • Get Instant E-certificate
  • Fully online, interactive course with Professional voice-over
  • Developed by qualified professionals
  • Self-paced learning and laptop, tablet, smartphone friendly
  • Tutor Support

Certification

Upon successful completion of this course, an instant e-certificate will be generated free of charge. The digital version of the course transcript is available for £2.99.

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Course Content

    • What is the meaning of Business Intelligence 00:05:00
    • Starting Case in understanding BI needs in different phase of business 00:07:00
    • Decision Making Process and Need of IT systems 00:20:00
    • Problem Structure and Decision Support System 00:11:00
    • Introduction to Business Intelligence Applications 00:18:00
    • Dashboard & presentation systems 00:07:00
    • Different Types of Charts and their usage in BI Dashboards 00:30:00
    • Characteristics of Good Dashboard and link with Balance Score Card system 00:13:00
    • Examples of Bad design of Dashboards – You should avoid – Part 1 00:07:00
    • Examples of Bad design of Dashboards – you must AVOID 00:01:00
    • Process of KPI Development for using in Business Intelligence Dashboard 00:26:00
    • Overview of Data warehouse 00:08:00
    • More Detailed explanation of data warehouse and steps in processing 00:09:00
    • Data Warehouse Architecture – Tiers 00:18:00
    • Components of Data Warehouse 00:15:00
    • Approach to develop data structure and Models of database 00:16:00
    • Basics of Data Mining – Meaning 00:35:00
    • Basics of Data Mining – Stages of DM 00:25:00
    • Data Mining Technique – Classification 00:07:00
    • Data mining – Clustering 00:02:00
    • Data Mining – Association Rules 00:05:00
    • Data Mining Applications – Banking 00:03:00
    • Data Mining Applications – CRM 00:04:00
    • Data Mining Applications – other industries 00:04:00
    • Get your Certificate and Transcript 00:00:00

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