Data Management Tools

Paper Code: 
BAC 232
Credits: 
2
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 

Students will learn how to start working with MS Excel right from basics to Tables, and advanced in data manipulation with database management system.

12.00
Unit I: 
Data Tabulation in Excel

Data Tabulation in Excel

Creating a Table, Adding, Deleting new rows or columns, Moving a Table, Removing duplicate rows from a table. Sorting and filtering a table, auto filter, advanced filter, formatting of table.

series, auto fill series, Cell referencing (Relative, Absolute, Mixed).

Data from other sources: Importing external data from different database files. Creating Custom Views of your Worksheet.

12.00
Unit II: 
Functions

Functions and its parts, some useful mathematical and statistical Functions in spreadsheet (eg. SUM, COUNT, MAX, MIN, IF, COUNTIF, CEILING, FLOOR, TRUNC, ABS, FACT, INT, LOG, MOD, POWER, ROUND, EXP), logical functions (IF, AND, OR). Date & Time functions (NOW, DATE, TIME, DAY, MONTH, YEAR, HOUR, MINUTE, SECOND).

12.00
Unit III: 
Decision Making & Advance Spread-Sheet Tools

Decision Making & Advance Spread-Sheet Tools: Financial Functions (PV, NPV, IPR, Rate, FV, PMT, NPER), Vlookup, Hlookup. What if analysis (Data tables, Scenario, Goal seek, Sub-total, Pivot Table), Macros, Protection.

Graphical methods: line graph, bar graph, pie chart, histogram, scatter plot.

Descriptive Statistics (mean, median, mode, standard deviation, sample variance, Range).

12.00
Unit IV: 
Introduction: Database Management Systems

 

Definition, Characteristics of DBMS, Architecture & Security, Types of Data Models, Concepts and constraints of RDBMS, Introduction to Structured Query Language, MySql Installer, Download sample Database, Loading Sample Database.

12.00
Unit V: 
Data definition and Manipulation

 

SQL Process, SQL Commands – DDL, DML, DCL, DQL, SQL Constraints, Data Integrity, Data Types, SQL Operators, Expressions, Querying Database, Retrieving result sets, Sub Queries, Syntax for various Clauses of SQL, Functions and Joins.

Academic Year: