| Course Type | Course Code | No. Of Credits |
|---|---|---|
| Discipline Core | NSGA1SEC101 | 4 |
Coordinator and Team: Dr Ramesh Sharma
Email of course coordinator: rcsharma@aud.ac.in
Pre-requisites It is desirable that the students have experience of simple mathematical operations, computer keyboard use, web browsing, using search engines and computer handling at the basic level.
- No. of students to be admitted (with justification if lower than usual cohort size is proposed):
Usual cohort size
- Course scheduling (semester; semester-long/half-semester course; workshop mode; seminar mode; any other – please specify):
Semester mode
Aim:
We deal with data on daily basis in our life. Be it for household tasks or office work or business purpose. We face numbers in one way or another. These numbers need to be processed in the form of simple calculations or complex statistics. We use this data for decision making, trends analysis and forecasts etc. In whatever career field we are, be it scientist, researcher, shopkeeper, vendor, teacher, or labourer, we need to play with numbers. Calculations and processing of numbers are integral to our life functions. We need visualisation to present our data. Such situations call for skills to deal with numbers processing. The course in Microsoft Excel helps in developing skills to make meaning of data and numbers and present them in text format of visually. Almost all businesses require creating detailed worksheets, invoices, charts, and complex formulas.
The course is designed for those with little or no functional knowledge of Excel, as well as those who regularly use Excel at a basic level, but wish to enhance their skills. From basic operations to an introduction to more advanced techniques, the students would gain the confidence to navigate the Excel interface, master essential spreadsheet functions, perform calculations and produce creative charts and graphs from the data, while building an aptitude for data analysis that is critical to the success of any organization.
Course learning outcomes:
At the end of the course, the students will be able to:
- Navigate the Excel user interface, entering, manipulating and formatting data.
- Use formulas and functions to perform calculations on data.
- Create easy-to-use spreadsheets, validate data, find and correct errors.
- Analyse tabular information using Pivot Table Wizard.
- Create charts and tables that effectively summarize raw data.
- Create visualization using processed data
Brief description of modules/ Main modules:
This course is organised in 10 modules. First module introduces structure of workbook, 2nd module provides information about inputting data and editing it. 3rd module deals with data calculation operators and precedence, 4th module demonstrates formatting a workbook. Next module 5 deals with processing and filtering data, 6th Module explains reordering and summarising the data. 7th Module explains how to combine data from multiple sources. Module 8 deals with creating data visualisations. Module 9 pertains
to creating Interactive Dashboard by using PivotTables. Module 10 demonstrates printing Worksheets, Charts and Visualisations.
Module-1: Significance of data in Social Sciences Module-2: Working with data and Excel tables Module-3: Data Calculations
Module-4: Managing Workbook appearance Module-5: Managing worksheet data Module-6: Reorder and summarize data
Module-7: Combine data from multiple sources Module-8: Creating Data Visualisations
Module-9: Creating Interactive Dashboard by using PivotTables Module-10: Printing Worksheets, Charts and Visualisations
Reading list
Using Microsoft Excel for Social Research, By Charlotte Brookfield · 2021 ISBN: 9781529753202, 1529753201
Publisher: SAGE Publications
Excel 2019 for Social Science Statistics: A Guide to Solving Practical Problems. By Thomas J. Quirk · 2021
ISBN: 9783030643331, 3030643336
Publisher: Springer International Publishing
Beginning Excel 2019 By Noreen Brown, Barbara Lave, & Julie Romey, Publisher: Open Oregon Educational Resources, freely available under CC BY-NC-SA licence at https://open.umn.edu/opentextbooks/textbooks/70
Data Visualization with Excel Dashboards and Reports By Dick Kusleika · 2021 ISBN: 9781119698739, 1119698731
Publisher: Wiley
Making Data Sexy: A Step-by-Step Visualization Guide for Microsoft Excel 2016 Windows. By Annie Cushing · 2019
ISBN: 9781733049108, 173304910X
Publisher: Pied Piper Interactive
Additional References
Data at Work: Best Practices for Creating Effective Charts and Information Graphics in Microsoft Excel. By Jorge Camões · 2016
ISBN: 9780134268781, 0134268784
Publisher: Pearson Education
Analyzing and Visualizing Data with Microsoft Excel. By Chris Sorensen · 2018 ISBN: 9781509308101, 1509308105
Publisher: Pearson Education
-
- https://www.oreilly.com/library/view/excel-2013- the/9781449359492/ch01.html
- https://corporatefinanceinstitute.com/resources/ebooks/excel-book-pdf/
- Computers @ School, MS Excel By Jeevandeep Prakashan, ISBN: 9788177442359, 817744235X, Publisher: Jeevandeep Prakashan Pvt Ltd
Assessment structure (modes and frequency of assessments)
The course will have three types of assessment situations.
- Three assignments (15% each): Students submit practical assignments based
on data processing using MS-Excel and data visualisation at different points during the term. Assignment 1 will be from Module 1 to 3, Assignment 2 would be from Module 4 to 6, and Assignment 3 would be from Module 7 to 10. [Total 45%]
- Data Analysis Project: Students subject a data analysis project by using a
large dataset from public domain available at, such as, https://data.gov.in/ . Students would use a dataset based on theme identified by them, create suitable worksheets, carry out suitable statistical measures and create visualisations [20%]
- Term end examination covering full syllabus of the course focusing on the theoretical and practical aspects of spreadsheet program. [35%]
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