IIS University

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Admissions

It is a University which is committed to excellence and overall development of the student and one where talent is nurtured and honed in the best possible manner. Come, be a part of our never-ending journey of accomplishments and accolades.

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Excellent education not only imparts knowledge, but also paves the way for a promising and successful career. The Placement Cell at The IIS University has numerous success stories to narrate in this regard...

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Taking the age-old tradition of enlightenment through education forward, The IIS University - in its continuous pursuit of excellence - firmly believes that an institution’s academic profile determines its worth and value. Therefore, on offer are a wide variety of both conventional and contemporary programmes of study.

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To stimulate curiosity and cater to the global needs of a dynamic education, The IIS University - since inception - has been promoting and encouraging research-based experiential learning among all its students.

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The IIS University, with its perfect amalgamation of innovation, inspiration and synergy, aims to be a model institution for students across disciplines and programmes.

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COMPUTER APPLICATION IN ECONOMIC ANALYSIS-Practical | Economics

COMPUTER APPLICATION IN ECONOMIC ANALYSIS-Practical

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Paper Code: 
ECO 324 (B - P)
Credits: 
2
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 

This lab is designed to introduce the students with financial and statistical functions of MS – Excel, MS – Access and SPSS.

 

 

MS-Excel: Excel Basics, Cell Referencing (Relative, Absolute, Mixed), Cell Formatting, Functions in excel (SUM, AVERAGE, COUNT, MAX, MIN, IF), What-if analysis, Goal seek, Scenario, Pivot Table, Financial Functions (PV, NPV, IPR, Rate, FV, PMT, NPER), sorting, Data filters (Auto and Advanced), Mathematical Functions (Ceiling, Floor, Trunc, Mid), lookup & references (Lookup, Vlookup, Hlookup) Hyper linking, Macros. Summarizing data: Graphical methods (line graph, bar graph, pie chart, histogram, scatter plot), Descriptive Statistics (mean, median, mode, standard deviation, sample variance, kurtosis, skewness, Range), Correlation and Regression Analysis (ANOVA model).

 

MS-Access: Tables, data types, creating tables, entering data table, editing data, viewing records, sorting records, relationship, querying a database (crosstab query) & Generating reports.

 

SPSS: A package for Statistical Analysis in Social Sciences. Basic Operations; File, Edit, View, Data, Transformation, Graph and utilities. Statistical Analysis using SPSS: Summary, Tabulation and comparison of summary statistics; Correlation and Regression (Linear and non-linear).

Academic Session: