Data Science And Machine Learning Course
What will I learn?
Take your Business Intelligence career to the next level with our Data Science and Machine Learning Course (Ghana Edition). You go gain proper practical skills for deploying models, making sure dem dey scale well and fit nicely into the system. You go learn how to do good reporting by summing up your findings, showing data insights for people to see, and giving clear recommendations wey people go understand. You go dive deep into exploratory data analysis, data preprocessing, and time series forecasting using ARIMA and Prophet. You go sharpen your skills for training models, checking how dem dey perform, and fine-tuning parameters to make sure dem dey accurate aswear. Join now so you fit turn data into things wey you can use to make smart decisions.
Apoia's Unique Features
Develop skills
Enhance the development of the practical skills listed below
Master model deployment: Make sure your models dey scale well and fit nicely into the system.
Communicate insights: Show data for people to see and give clear recommendations wey people go understand and act on.
Conduct EDA: Analyze how things dey trend, promotions, and how things dey relate to each other well well.
Preprocess data: Handle data wey dey miss and create features for time series.
Forecast with precision: Use ARIMA and Prophet to predict things accurately.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and workload.
- Select which chapter to begin with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can include
You can generate additional chapters like the examples below
This is a free course, aimed at personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.