Data Science And Machine Learning Course
What will I learn?
Boost your Business Intelligence career with our Data Science and Machine Learning Course. Develop practical skills in deploying models, ensuring they're scalable and integrate smoothly into pipelines. Become proficient in effective reporting by summarising findings, visualising data insights, and creating clear recommendations. Delve into exploratory data analysis, data preprocessing, and time series forecasting using ARIMA and Prophet. Improve your expertise in training, evaluating, and tuning models for the best possible accuracy. Enrol now to turn data into actionable intelligence.
Apoia's Unique Features
Develop skills
Strengthen the development of the practical skills listed below
Master model deployment: Make sure models are scalable and integrate seamlessly into pipelines.
Communicate insights effectively: Visualise data and develop clear, actionable recommendations.
Conduct EDA effectively: Analyse trends, promotions, and correlations.
Preprocess data: Manage missing values and engineer features for time series data.
Forecast accurately: Use ARIMA and Prophet for precise predictions.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can change the chapters and workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but it offers practical and relevant knowledge for your professional journey.