The Business Analytics course at the Bangladesh-Korea Information Access Center (BK-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.
We expect participants to have prior programming knowledge, specifically in Python. If you lack this background, please learn the basics of Python before starting this course. This course does not cover Python fundamentals, and enrolling without adequate Python knowledge may lead to significant difficulties in understanding the content, resulting in a poor learning experience. This responsibility lies solely with the participant. We have also offered an "Introduction to Python" course (Course Details Link), which you can complete prior to enrolling in this course.
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:
Class# | Content |
---|---|
1 | Python Environment setup, Python Fundamentals for Data Analysis (Numpy, Pandas) |
2 | Python Fundamentals for Data Analysis (Numpy, Pandas) |
3 | Data Handling - Loading, Preprocessing, and Wrangling |
4 | Python Advanced for Data Analysis - Matplotlib, Seaborn |
5 | Exploratory Data Analysis, EDA - I Descriptive Statistics, GroupBy, Correlation Study |
6 | Data Visualization and EDA - II Histogram, Box Plot, KDE Plot, Violin Plot, Pairplot, Bar Plot, Pie Chart Assignment 1 on Data Analysis (Preprocessing, EDA, Visualization) |
7 | Hypothesis Testing - 17 statistical tests for formulating, testing, and validating hypothesis (using Python) |
8 | Evaluation of Assignment 1 |
9 | Single Variable Linear Regression and Multiple Regression |
10 | Trends and Seasonality Analysis, Time Series Analysis (ARIMA, RNN) Assignment 2 on Hypothesis Testing and Regression Analysis |
11 | Machine Learning model development and evaluation using Scikit-Learn |
12 | Case Study 1 - Stock Analysis |
13 | Case Study 2 - Investment Study (Risk and Return) |
14 | Evaluation of Assignment 2 |
15 | Excel Blitz - Analyzing business data in Excel |
16 | Final Exam |
Email: iac@cse.buet.ac.bd
Phone: 9665650-80 Ext-6438
Mobile: 01552 015596