Training Level

Advanced

Training Duration (Days)

5

Training Mode

  1. Physical Classroom
  2. Online

Prerequisite

  1. Understanding of fundamental data science concepts
  2. Knowledge of databases, including querying languages like SQL

 

Career Track

  1. DATA SCIENTIST
  2. DATA ANALYST

Industry Skill
Framework

Accreditation Body

Cert Nexus

Skill Outcome

By the end of this course, you will be able to:

  1. Use data science principles to address business issues
  2. Apply the extract, transform, load (ETL) process to prepare datasets
  3. Use multiple techniques to analyze data and extract valuable insights
  4. Train, tune, evaluate classification models, regression , forecasting models, clustering models
  5. Design a machine learning approach to address business issues
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