{"id":29439,"date":"2025-04-14T17:51:09","date_gmt":"2025-04-14T12:21:09","guid":{"rendered":"https:\/\/www.inspirenignite.com\/mh\/315328-business-intelligence-syllabus-for-data-science-5th-sem-k-scheme-msbte-pdf\/"},"modified":"2025-04-14T17:51:09","modified_gmt":"2025-04-14T12:21:09","slug":"315328-business-intelligence-syllabus-for-data-science-5th-sem-k-scheme-msbte-pdf","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/mh\/315328-business-intelligence-syllabus-for-data-science-5th-sem-k-scheme-msbte-pdf\/","title":{"rendered":"315328: Business Intelligence Syllabus for Data Science 5th Sem K Scheme MSBTE PDF"},"content":{"rendered":"

Business Intelligence detailed Syllabus for Data Science (DS), K scheme PDF has been taken from the MSBTE<\/a> official website and presented for the diploma students. For Subject Code, Subject Name, Lectures, Tutorial, Practical\/Drawing, Credits, Theory (Max & Min) Marks, Practical (Max & Min) Marks, Total Marks, and other information, do visit full semester subjects post given below. <\/p>\n

For all other MSBTE Data Science 5th Sem K Scheme Syllabus PDF, do visit MSBTE Data Science 5th Sem K Scheme Syllabus PDF Subjects<\/a>. The detailed Syllabus for business intelligence is as follows.<\/p>\n

Rationale<\/h4>\n

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App<\/a>
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b>
\"Get<\/a>.<\/p>\n

Course Outcomes:<\/h4>\n

Students will be able to achieve & demonstrate the following COs on completion of course based learning<\/p>\n

    \n
  1. Describe Business Intelligence and its framework.<\/li>\n
  2. Apply Business Intelligence Planning Process.<\/li>\n
  3. Analyze Business Intelligence Database Design.<\/li>\n
  4. Implement Extraction ,Transformation and Loading process.<\/li>\n
  5. Develop Business application and generate its Report.<\/li>\n<\/ol>\n

    Unit I<\/h4>\n

    Introduction To Business Intelligence 1.1\tBI Definitions & Concepts, Applications of Business intelligence ,Benefits of business intelligence 1.2\tCategories of BI analysis, Advantages and disadvantages of BI 1.3\tBusiness intelligence platforms, Types of BI Tools and Software 1.4\tBI Framework, Business intelligence platforms, Role of Data Warehousing in BI ,BI and big data 1.5\tBI Infrastructure Components – BI Process, BI Technology, BI Roles & Responsibilities\n<\/p>\n

    Suggested Learning Pedagogie<\/i>
    \nLecture Using Chalk-Board Hands-on Presentations\n<\/p>\n

    Unit II<\/h4>\n

    For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App<\/a>
    It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b>
    \"Get<\/a>.<\/p>\n

    Unit III<\/h4>\n

    Business Intelligence Database Designing 3.1 Database Design – Differences in Database Design Philosophies, Operational Databases, Operational Databases versus BI Target Databases, BI Target Databases 3.2 Logical Database Design – The Star Schema, The Snowflake Schema 3.3 Physical Database Design- Physical Dataset Placement, Partitioning ,Clustering ,Indexing ,Reorganizations ,Backup and Recovery ,Parallel Query Execution\n<\/p>\n

    Suggested Learning Pedagogie<\/i>
    \nLecture Using Chalk-Board Presentations Hands-on\n<\/p>\n

    Unit IV<\/h4>\n

    Extraction, Transformation and Loading 4.1\tETL Development Source -Heterogeneous Data Sources ,Integrated BI Implementation Strategy 4.2\tImplementation Strategies for BI – Preparing for the ETL Process, Designing the Extract Programs, Designing the Transformation Programs ,Designing the Load Programs 4.3\tDesigning the ETL Process Flow- The Source-to-Target Mapping Document , The ETL Process Flow Diagram , The Staging Area ,Evaluating ETL Tools\n<\/p>\n

    Suggested Learning Pedagogie<\/i>
    \nPresentations Hands-on Lecture Using Chalk-Board\n<\/p>\n

    Unit V<\/h4>\n

    For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App<\/a>
    It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b>
    \"Get<\/a>.<\/p>\n

    List of Experiments:<\/h4>\n
      \n
    1. *Power BI Software:- a) Download and Install the Power BI Software b) Write the features of Power BI software<\/li>\n
    2. * Analyze the Power BI Desktop Version using following steps- 1\t.Connect to data with Power BI Desktop 2\t.3\t.Create visualizations and reports with Power BI Desktop 4\t.Publish report to Power BI service 5\t.Distribute and manage reports in the Power BI service<\/li>\n
    3. * Implement data importing from the Excel and load it in the target system<\/li>\n
    4. * Implement data extraction process in Power BI with respective data source<\/li>\n
    5. * Apply data transformation process to construct database in Power BI with respective data source<\/li>\n
    6. Apply relationship modeling on different tables in power BI<\/li>\n
    7. Apply data loading process to construct database in Power BI with respective datasource<\/li>\n
    8. Apply modeling and data drill feature to visualize database in Power BI<\/li>\n
    9. * Create different visuals to build a report in Power BI<\/li>\n
    10. Publish a report in Power BI<\/li>\n<\/ol>\n

      Self Learning<\/h4>\n<\/p>\n

      Micro Project<\/i><\/p>\n