Data Science for Analytics Proffesionals
ANALYTHINX established to help companies in their journey of Digital and Advanced Analytics Transformation with a ‘Business outcome focus’ & ‘Technology Agnostic’ approach.
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Data Science for Analytics Proffesionals

Data Scıence for Analytıcs Proffesıonals


Execution steps and implementation details of data science projects, best practices and attention points on data analysis, data preparation, modeling and evaluation.


Data scientist, data engineers, data analysts and prospective candidates for these roles


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