Course Detail:

Course Title: Business Analytics

Introduction

The Business Analytics course at the Information Access Center (IAC) is designed for professionals looking to enhance their skills in utilizing data for strategic decision-making in the business world. This comprehensive course covers various aspects of business analytics, from Python fundamentals to advanced machine learning model development and real-world case studies.

Objectives

• To equip participants with the fundamental skills of Python programming for data analysis.
• To provide a comprehensive understanding of data handling, preprocessing, and wrangling techniques.
• To delve into exploratory data analysis (EDA) and visualization using Python libraries like Matplotlib and Seaborn.
• To introduce hypothesis testing and regression analysis for making informed business decisions.
• To apply analytics skills through case studies in stock analysis, investment study, and other real-world scenarios.

Outcome of the Learning

Upon successful completion of the Business Analytics course, participants will be able to:

• Master Python fundamentals for data analysis, including variables, loops, arrays, functions, strings, and file handling.
• Efficiently handle, preprocess, and wrangle data using Python libraries like Numpy and Pandas.
• Conduct exploratory data analysis (EDA) using descriptive statistics, groupby operations, and correlation studies.
• Create visualizations for data interpretation, including histograms, box plots, KDE plots, violin plots, pair plots, bar plots, and pie charts.
• Perform hypothesis testing using 17 statistical tests and understand the principles of regression analysis.
• Develop and evaluate machine learning models using Scikit-Learn.
• Apply analytics skills to real-world scenarios through case studies in stock analysis, investment study, and more.

Tentative Class Schedule

The course length will be 8 weeks with two classes in each week and 3 hours in each class. The tentative lecture plan of the course is as follows:

Learning and Evaluation Method

• Classes will be conducted in a multimedia-equipped environment.
• Expert faculty members from the field of Business Analytics will lead each class.
• Participants will have access to PCs for practical exercises, ensuring an interactive learning experience.
• Evaluation will take place through assignments and case-study.
• We will provide a certificate upon successfully passing this course.

Further Query

Email: iac@cse.buet.ac.bd
Phone: 9665650-80 Ext-6438, mobile : 01741 686742