IARE Best Engineering College In Hyderabad
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It is a matter of great pride that the Institute of Aeronautical Engineering (IARE) is ranked one among the Top 200 best Engineering colleges as per NIRF (National Institutional Ranking Framework), Ministry of Education (MoE), Govt. of India since 2017.

Value Added Courses

The value added courses are audit courses offered through joint ventures with various organizations providing ample scope for the students as well as faculty to keep pace with the latest technologies pertaining to their chosen fields of study. A plenty of value added courses will be proposed by the departments one week before the commencement of class work. The students are given the option to choose the courses according to their desires and inclinations as they choose the desired items in a cafeteria. The expertise gained through the value added programs should enable them to face the formidable challenges of the future and also assist them in exploring new opportunities.


Value Added Courses Offered in the Academic Year 2022 - 2023

Business Analytics using Python Program

Course Aim:

Aim is to focus on developing business analytical skills using Python program to prepare effective business reports by extracting the organizational data. It also helps to improve decision-making skills for a better competitive edge in career enhancement.

Course Objectives:

The students will try to learn:

  • The basics of programming in Python programming language, including syntax, data types, variables, and control structures.
  • Data manipulation and cleaning for import and export of data, and to manipulate and clean data using Python libraries such as Pandas and NumPy.
  • Creation and visualizations of data using libraries such as Matplotlib and Seaborn, and to interpret and communicate insights from these visualizations.

Course Outcome:

After successful completion of the Value Added Course, students will be able to:

  • Work with Python libraries such as pandas, numpy, matplotlib, seaborn, etc., to manipulate data and generate visualizations.
  • Identify and deal with data quality issues such as missing values, data inconsistencies, and outliers, using Python.
  • Create various visualizations such as scatter plots, bar graphs, histograms, box plots, heat maps, etc., to effectively communicate insights from the data.

Course Content:

Target Group:

MBA I and III semester students

Scheduled Date & Time: 4 PM to 6 PM

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