Data Science And Machine Learning Course
What will I learn?
Elevate your Business Intelligence career with our Data Science and Machine Learning Course. Gain practical skills in model deployment, ensuring scalability and seamless integration into pipelines. Master effective reporting by summarising findings, visualising data insights, and crafting clear recommendations. Dive into exploratory data analysis, data pre-processing, and time series forecasting with ARIMA and Prophet. Enhance your expertise in model training, evaluation, and parameter tuning for optimal accuracy. Join now to transform data into actionable intelligence.
Apoia's Differentials
Develop skills
Strengthen the development of the practical skills listed below
Master model deployment: Ensure scalability and seamless pipeline integration.
Communicate insights: Visualise data and craft clear, actionable recommendations.
Conduct EDA: Analyse trends, promotions, and correlations effectively.
Pre-process data: Handle missing values and engineer features for time series.
Forecast with precision: Utilise ARIMA and Prophet for accurate predictions.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can adjust the chapters and the 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 offers practical and relevant knowledge for your professional journey.