Data Science for Analytics Proffesionals
Scope
Execution steps and implementation details of data science projects, best practices and attention points on data analysis, data preparation, modeling and evaluation.
Audıence
Data scientist, data engineers, data analysts and prospective candidates for these roles
Duratıon:
3 Days
Learning Objectives: The participants will be acknowledged on best practices of
- Single Variate Analysis
- Multi Variate Analysis
- Feature Engineering
- Machine Learning Algorithm Selection
- Supervised Learning Model Development
- Unsupervised Learning Model Development
- Time Series Analysis
- Model Assessment
