Description
Course Duration
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Total Duration: 3-6 Months (Flexible Learning Options)
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Mode of Delivery: Online / Classroom / Hybrid
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Prerequisites: Basic programming knowledge (recommended but not mandatory)
Course Modules
Module 1: Python Programming Fundamentals
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Introduction to Python
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Data Types, Variables, and Operators
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Control Structures (Loops & Conditionals)
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Functions and Modules
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File Handling in Python
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Object-Oriented Programming (OOP) Basics
Module 2: Data Handling & Analysis with Python
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Introduction to Data Science
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NumPy for Numerical Computing
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Pandas for Data Manipulation
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Data Cleaning & Preprocessing
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Data Visualization with Matplotlib & Seaborn
Module 3: Statistics for Data Science
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Descriptive & Inferential Statistics
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Probability Distributions
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Hypothesis Testing
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Correlation & Regression Analysis
Module 4: Machine Learning with Python
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Introduction to Machine Learning (Supervised vs. Unsupervised Learning)
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Scikit-Learn for ML Algorithms
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Linear & Logistic Regression
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Decision Trees & Random Forests
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Support Vector Machines (SVM)
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Clustering Techniques (K-Means, Hierarchical)
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Model Evaluation & Hyperparameter Tuning
Module 5: Advanced Topics (Optional/Elective)
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Natural Language Processing (NLP) Basics
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Deep Learning Introduction (TensorFlow/Keras)
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Big Data & Python (PySpark Basics)
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Deployment of ML Models (Flask/Django)
Key Features of the Course
✔ Hands-on projects & real-world case studies
✔ Assignments & quizzes for practical learning
✔ Industry-relevant curriculum
✔ Capstone project for portfolio building
✔ Certificate upon successful completion
Career Opportunities After Completion
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Data Analyst
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Machine Learning Engineer
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Python Developer
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Business Intelligence Analyst
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Research Scientist (AI/ML)
Who Should Enroll?
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Students & fresh graduates seeking a career in data science
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Professionals transitioning into AI/ML roles
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Programmers looking to upskill in Python for data science
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Analysts aiming to automate data tasks with ML
Certification
Upon completing the course and passing the assessments, participants will receive a Certificate in Python with Data Science and Machine Learning, validating their expertise in the field.
Enrollment Details
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Next Batch Starting: [Insert Date]
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Fee Structure: [Mention Pricing or Payment Plans]
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Contact: [Email/Phone/Website]




