Detailed Career Track

Data Science and AnalyticsPython, ML and Visualization

Go from raw data to production insights with machine learning, dashboarding, and practical business analytics workflows.

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INR 9,499INR 16,999
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Data Science and Analytics

8 Months

Duration

2200+

Learners

4.9/5

Rating

Beginner to Expert

Level

Month 1: Python and Statistics
70 practical hours

Topics

  • Python basics
  • Statistics
  • NumPy
  • Data wrangling

Projects

  • Statistical analysis notebook
Month 2: EDA and Storytelling
74 practical hours

Topics

  • Pandas deep dive
  • EDA
  • Visualization
  • Reporting

Projects

  • Business insights dashboard
Month 3: Supervised ML
82 practical hours

Topics

  • Regression
  • Classification
  • Validation
  • Metrics

Projects

  • Prediction pipeline
Month 4: Advanced ML
86 practical hours

Topics

  • Clustering
  • PCA
  • Feature selection
  • Tuning

Projects

  • Segmentation model
Month 5: Deep Learning
90 practical hours

Topics

  • Neural networks
  • TensorFlow
  • CNN
  • NLP basics

Projects

  • Image or text model
Month 6-8: MLOps and Capstone
105 practical hours

Topics

  • Deployment
  • Monitoring
  • Cloud workflows
  • Capstone build

Projects

  • End-to-end DS capstone