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.
Upon successful completion of the Business Analytics course, participants will be able to:
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 Fundamentals (Environment setup, Variables, Loop, Array, Function, String, File) |
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 Sessionality 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 : 01741 686742