A curated data science training experience

Concise and hands-on, this carefully selected curriculum will ensure you are equipped to solve real-world business problems in just five days. While the focus is on practical skills, there will be sufficient coverage of data science theory as well.

 

 

  • Bootcamp Preparation: Python Crash Course Webinar (One Week before Bootcamp)
  • Fundamentals of Data Science: Data Quality, Models, Metrics, Question Everything!
  • Cloud computing: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform
  • Machine Learning (ML) Fundamentals: Frequently Used Models and Algorithms
  • Regression Models: Linear Regression
  • Unsupervised Learning: K-means Clustering
  • Ensemble Methods: Bootstrapping and Bagging
  • Operationalize ML Models: Cloud Deployment
  • Low Code environments: Build and Deploy Data Science Models Rapidly
  • Advanced Topics: Model Explainability, Data Drift, Automated Machine Learning
  • Challenges of Prediction: Biases, Paradoxes, Critical Reasoning, Data Snooping
  • Domain Specific Modelling: Genetic Algorithms
  • Generative Artificial Intelligence (Gen AI)- Chat GPT, Dall-E, etc.
  • Data Engineering: Create an End-to-End Big Data pipeline.
  • Introduction to Deep Learning: Convolutional Neural Networks
  • Tableau and Wolfram Mathematica: The Data Scientist’s Extended Tool Box
  • Practitioner’s Guide: Common Pitfalls, Tips, Tricks, Best Practices - Based on My Mistakes!

 

Reskill in the age of Artificial Intelligence!