Business Data Analytics detailed syllabus for Industrial Engineering (Industrial) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the Industrial students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Industrial Engineering 5th Sem scheme and its subjects, do visit Industrial 5th Sem 2021 regulation scheme. For Professional Elective-IV scheme and its subjects refer to Industrial Professional Elective-IV syllabus scheme. The detailed syllabus of business data analytics is as follows.
Course Objectives:
Download the iStudy App for all syllabus and other updates.
Unit I
OVERVIEW OF BUSINESS ANALYTICS 9
Introduction – Drivers for Business Analytics – Applications of Business Analytics: Marketing and Sales, Human Resource, Healthcare, Product Design, Service Design, Customer Service and Support – Skills Required for a Business Analyst – Framework for Business Analytics Life Cycle for Business Analytics Process.
Unit II
ESSENTIALS OF BUSINESS ANALYTICS 9
Descriptive Statistics – Using Data – Types of Data – Data Distribution Metrics: Frequency, Mean, Median, Mode, Range, Variance, Standard Deviation, Percentile, Quartile, z-Score, Covariance, Correlation – Data Visualization: Tables, Charts, Line Charts, Bar and Column Chart, Bubble Chart, Heat Map – Data Dashboards.
Unit III
Download the iStudy App for all syllabus and other updates.
Unit IV
ANALYTICS USING HADOOP AND MAPREDUCEFRAMEWORK 9
Introducing Hadoop – RDBMS versus Hadoop – Hadoop Overview – HDFS (Hadoop Distributed File System) – Processing Data with Hadoop – Introduction to MapReduce -Features of MapReduce – Algorithms Using Map-Reduce: Matrix-Vector Multiplication, Relational Algebra Operations, Grouping, and Aggregation – Extensions to MapReduce
Unit V
OTHER DATA ANALYTICAL FRAMEWORKS 9
Overview of Application Development Languages for Hadoop – PigLatin – Hive – Hive Query Language (HQL) – Introduction to Pentaho, JAQL – Introduction to Apache: Sqoop, Drill, and Spark, Cloudera Impala – Introduction to NoSQL Databases – Hbase and MongoDB.
Course Outcomes:
On completion of the course, the student will be able to:
- Identify the real world business problems and model with analytical solutions.
- Solve analytical problem with relevant mathematics background knowledge.
- Convert any real world decision making problem to hypothesis and apply suitable statistical testing.
- Write and Demonstrate simple applications involving analytics using Hadoop and MapReduce
- Use open source frameworks for modeling and storing data.
Reference Books:
Download the iStudy App for all syllabus and other updates.
For detailed syllabus of all the other subjects of Industrial Engineering 5th Sem, visit Industrial 5th Sem subject syllabuses for 2021 regulation.
For all Industrial Engineering results, visit Anna University Industrial all semester results direct link.