Data Management Tools

Paper Code: 
DAC 232
Credits: 
04
Periods/week: 
02
Max. Marks: 
100.00
Objective: 

Learning outcome (at course level)

Learning and teaching strategies

Assessment Strategies

 
 

Students will be able to:

  1. Effectively use spreadsheets to perform statistical computations and display numerical and graphical summaries of data sets.
  2. Perform sensitivity analysis on data.
  3. Compute and interpret the descriptive statistics for different problems.
  4. Explain theusage of predefined functions in analysis of datasets.
  5. Analyze the concept of database in data management.

Approach in teaching:

Interactive Lectures, Discussion, Demonstrations, Group activities, Teaching using advanced IT audio-video tools 

Learning activities for the students:

Effective assignments, Giving tasks.

 

Assessment Strategies

Class test, Semester end examinations, Quiz, Practical Assignments, Individual and group projects

 

 

 

12.00
Unit I: 
UNIT I

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: 
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: 
UNIT III

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: 
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: 
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.

 

 

ESSENTIAL READINGS: 
  • Winston ,”Microsoft Excel 2013: Data Analysis and Business Modeling”, PHI
  • Denise Etheridge,“ Excel Data Analysis”,Wiley Publication,Third Edition
  • Wayne L.Winston,”Excel 2010 Data Analysis  and Business Modeling,
  • Hector Guerrero ,“Excel Data Analysis - Modeling and Simulation”, Springer
  • Financial Analysis and Modeling using Excel and VBA: Chandan Sengupta, Wiley
  • Chris Newman ,”Sams Teach Yourself MySQL in 10 Minutes” , Sams Publishing; 1 edition (May 19, 2006)

 

Academic Year: 
2020-21
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