Time-Series Analysis, Time-Series Forecasting, and Neural Networks

Key	Value
Course Codes	BBT 4206 and BFS 4102
Course Names	BBT 4206: Business Intelligence II (Week 7-9 of 13) BFS 4102: Advanced Business Data Analytics (Week 1-3 of 13)
Semester	January to April 2026
Lecturer	Allan Omondi
Contact	aomondi@strathmore.edu
Note	The lecture contains both theory and practice. This notebook forms part of the practice. It is intended for educational purposes only. Recommended citation: BibTex

Repository Structure

.
├── 1_candlestick_charts_in_finance.ipynb
├── 2_stationarizing_time_series_data.ipynb
├── 3_time_series_forecasting.ipynb
├── 4_fourier_transform.ipynb
├── LICENSE
├── README.md
├── RecommendedCitation.bib
├── admin_instructions
│   ├── instructions_for_postlab_cleanup.md
│   ├── instructions_for_project_setup.md
│   └── instructions_for_python_installation.md
├── assets
│   └── images
│       └── candlestick_explanation.png
├── data
│   ├── Download Data - STOCK_KE_XNAI_SCOM.csv
│   ├── stockprice_cleaned.csv
│   └── stockprice_original.csv
├── lab_submission_instructions.md
└── requirements
    ├── base.txt
    ├── colab.txt
    ├── constraints.txt
    ├── dev.inferred.txt
    ├── dev.lock.txt
    ├── dev.txt
    └── prod.txt

6 directories, 22 files

Setup Instructions

• Setup Instructions

Lab Manual

Refer to the files below for more details:

1. 1_candlestick_charts_in_finance.ipynb
2. 2_stationarizing_time_series_data.ipynb
3. 3_time_series_forecasting.ipynb
4. 4_fourier_transform.ipynb

Lab Submission Instructions

• Lab Submission Instructions

Cleanup Instructions (to be done after submitting the lab)

• Cleanup Instructions