Course Curriculum
Data Science & Machine Learning - Detailed module breakdown
Data Science & Machine Learning - Complete Curriculum
Module 1 Module 1
Syntax, Data Types, Functions
Module 2 Module 2
Arrays, Operations, Broadcasting
Module 3 Module 3
DataFrames, Series, Data Cleaning
Module 4 Module 4
Matplotlib, Seaborn, Plotly
Module 5 Module 5
Descriptive Statistics, Probability
Module 6 Module 6
Regression, Classification
Module 7 Module 7
Clustering, Dimensionality Reduction
Module 8 Module 8
Cross-validation, Metrics
Module 9 Module 9
Feature Selection, Extraction
Module 10 Module 10
Random Forest, Gradient Boosting
Module 11 Module 11
Neural Networks, TensorFlow
Module 12 Module 12
Text Processing, NLTK
Module 13 Module 13
ARIMA, Prophet
Module 14 Module 14
Hadoop, Spark
Module 15 Module 15
Model Deployment, Monitoring
Module 16 Module 16
End-to-end ML Project
Curriculum Summary
Our Learning Approach
Expert Instruction
Learn from industry professionals with years of experience.
Hands-on Projects
Apply your learning through real-world projects and assignments.
Peer Collaboration
Learn and grow with a community of motivated learners.
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