BBA 202 Course Plan
- Programme Code 017
- Course Code BBA-201
- Course TypeCore
- Programme Bachelor of Business Administration
- Course Name Business Analytics
- L - T/P - Credits 4 - 0 - 4
- Course Outcome
- CO1 Demonstrate skills for computation and aggregation of data using different software.
- CO2 Present data with the help of charts etc.
- CO3 Acquire Knowledge about data concepts like big data, data warehousing etc.
- CO4 Analyze data and interpret the results.
- Tecniatv Playlist linkhttps://www.youtube.com/
| Unit No. | Lecture No. | Topic | Sessional Outcome | Mapping with CO | ICT Tools / Class Material (PPT ) | First Shift | Second Shift | Guest Lecture | Expert Lecture |
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| 1 | L1 | Introduction: Concept | Students will be able to understand the meaning and concept of Business Analytics | CO1 |  |
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| 1 | L2 | Evolution of Business Analytics | Students will learn about the origin and growth of the Business Analytics | CO1 | |
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| 1 | L3 | Analytics Process | Students will be able to understand the process and steps of Business Analytics | CO1 | |
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| 1 | L4 | Overview of Data Analysis | Students will learn about the origin and growth of the Business Analytics | CO1, CO4 | |
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| 1 | L5 | Data Scientists Vs Data Engineer Vs Business Data Analyst | Students will be able to compare Data Scientists, Data Engineer and Business Data Analyst | CO1, CO4 | |
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| 1 | L6 | Roles and Responsibilities | Students will be to know the role and responsibilties of a Data Analyst | CO1, CO4 | |
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| 1 | L7 | Business Analytics in Practice | Students will be able to apply the knowledge in business | CO1, CO4 | |
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| 1 | L8 | Career in Business Analytics | Students will be able to know the career oportunity in Business Analytics | CO1, CO4 | |
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| 1 | L9 | Introduction to R | Students will be able to understand the R programming | |
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| 1 | L10 | Prcatical on R | Students will be able to analyse the data | CO1, CO4 | |
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| 1 | L11 | Basic data analysis on R | Students will be able to analyse the data | CO1, CO4 | |
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| 1 | L12 | Basic data analysis on R | Students will be able to analyse the data | CO1, CO4 | |
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| 1 | L13 | Revision | |
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| 1 | L14 | Revision | |
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| 2 | L15 | Concept of Data Warehousing | Students will able to understand the concept of warehousing | CO1 | |
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| 2 | L16 | ETL- Introduction | Students will understand the ETL process | CO1, CO4 | |
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| 2 | L17 | Extract the data | Students will learn the data extraction | CO1, CO2 | |
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| 1 | L18 | Transform the data | Students will learn the data transformation | CO1 | |
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| 2 | L19 | Load the data | Students will learn the data loading | CO2, CO4 | |
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| 2 | L20 | Star Schema | Students will understand the Star Schema | CO2, CO4 | |
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| 2 | L21 | Introduction to Data Mining | Students will understand the meaning of data mining | CO1 | |
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| 2 | L22 | The origins of Data Mining | Students will understand the meaning of data mining | CO1, CO2 | |
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| 2 | L23 | Data Mining Tasks | Students will learn the data mining task | CO1, CO2, CO4 | |
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| 2 | L24 | Application and Trends in Data Mining | Students will able to apply the data mining in business | CO5, CO1 | |
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| 2 | L25 | Data Mining for Retail Industry | Students will able to apply the data mining in business | CO1, CO3 | |
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| 2 | L26 | Health Industry | Students will able to apply the data mining in business | CO1, CO3 | |
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| 3 | L27 | Insurance | Students will able to apply the data mining in business | CO1, CO4, CO3 | |
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| 3 | L28 | Telecommunication Sector | Students will able to apply the data mining in business | CO1, CO4, CO3 | |
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| 3 | L29 | Revision | |
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| 3 | L30 | Revision | |
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| 3 | L31 | Data Visualization-Definition | Students will be able to understand the meaning of data visualization | CO1, CO2 | |
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| 3 | L32 | Visualization Techniques – Tables | Students will learn the Data Visualization Techniques | CO1, CO4, CO3, CO5 | |
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| 3 | L33 | Cross Tabulations | Students will learn the Data Visualization Techniques | CO1, CO3 | |
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| 3 | L34 | Charts | Students will learn the Data Visualization Techniques | CO1, CO3 | |
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| 3 | L35 | Tableau | Students will learn the Data Visualization Techniques | CO1, CO3 | |
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| 3 | L36 | Data Modeling-Concept | Students will be able to understand the data modeling concept | CO1, CO4 | |
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| 3 | L37 | Data Modeling-Concept | Students will be able to understand the data modeling concept | CO1, CO4 | |
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| 3 | L38 | Role and Techniques | Students will learn the role and techniques of data modeling | CO1,CO4, CO5 | |
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| 3 | L39 | Role and Techniques | Students will learn the role and techniques of data modeling | CO1, CO4, CO5 | |
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| 3 | L40 | Revision | |
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| 3 | L41 | Revision | |
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| 3 | L42 | Descriptive: Central Tendency | The student will be able to understandAverage | |
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| 3 | L43 | Descriptive: Central Tendency | The student will be able to understandAverage | |
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| 3 | L44 | Measures of central tendency -Mean | The student will be able to understand Mean | CO1, CO4 | |
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| 3 | L45 | Median | The student will be able to understand Median | CO1, CO4 | |
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| 3 | L46 | Mode | The student will be able to understand Mode | CO1, CO4 | |
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| 3 | L47 | Numericals on Mean, Median and Mode | Students will be able to solve problems of Mean, Median and Mode | CO1, CO4 | |
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| 3 | L48 | Standard Deviation | The student will be able to understand standard Deviation | CO1, CO4 | |
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| 3 | L49 | Variance | The student will be able to understand variance | CO1, CO4 | |
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| 4 | L50 | Numericals | Students will be able to solve problems of S.D. and Variance | CO1, CO4 | |
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| 4 | L51 | Predictive – Linear Regression | The student will be able to understand the concept of Regression | CO1, CO4 | |
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| 4 | L52 | Linear Regression | The student will be able to learn the application of Regression | CO1, CO2 | |
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| 4 | L53 | Multivariate regression | The student will be able to learn the application of Regression | CO1, CO3 | |
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| 3 | L54 | Numericals | Students will be able to solve problems of regression | CO1, CO4 | |
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| 3 | L55 | Prescriptive-Graph Analysis | The student will be able to understand graph analysis | CO1, CO2 | |
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| 3 | L56 | Simulation | The student will be able to understand simulation | CO1, CO2 | |
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| 3 | L57 | Optimization | The student will be able to understand optimization | CO1, CO2 | |
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| 3 | L58 | Revision | |
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| 3 | L59 | Revision | |
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| 3 | L60 | Revision | |
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# As per Scheme & Syllabus Of Guru Gobind Singh Indraprastha University, New Delhi 2022-23 Onwards.