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    • Course
    • About Us
    • Internship AL/ML
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  • Home
  • Course
  • About Us
  • Internship AL/ML
  • College Project /Synposis
  • Contact Us

Our ONLINE LIVE CLASSS -

Data Analysis Using GenAI

Data Brain: Statistics + ML using Python

Data Brain: Statistics + ML using Python

📅 Duration: 6 Months
📚 Weekly Schedule: 3 Classes (2 Concept + 1 Doubt Clearing Session)
💰 Course Fee: ₹10,000
📖 Course Materials: Comprehensive e-notes, real-world datasets, practice case studies, and recorded sessions
🚀 Capstone Project: Showcase real-world problem-solving skills
🧑‍💻 Hands-on Learning: Work with real business dat

📅 Duration: 6 Months
📚 Weekly Schedule: 3 Classes (2 Concept + 1 Doubt Clearing Session)
💰 Course Fee: ₹10,000
📖 Course Materials: Comprehensive e-notes, real-world datasets, practice case studies, and recorded sessions
🚀 Capstone Project: Showcase real-world problem-solving skills
🧑‍💻 Hands-on Learning: Work with real business datasets
🤖 GenAI Integration: Use AI tools to simplify and accelerate data analysis
📊 Core Concepts: Data Cleaning, Visualization, Statistics, and Storytelling
💡 Practice & Feedback: Mini projects, weekly assignments, and mentor guidance
🎓 Certification: Completion certificate + project portfolio for job readiness.



Google Review 


https://shorturl.at/eDjlC

Data Brain: Statistics + ML using Python

Data Brain: Statistics + ML using Python

Data Brain: Statistics + ML using Python

 

📅 Duration: 3 Months
📚 Weekly Schedule: 3 Classes (2 Concept + 1 Doubt Clearing Session)
💰 Course Fee: ₹10,000
📖 Course Materials: Comprehensive e-notes, real-world datasets, practice case studies, and recorded sessions
📊 Core Statistics: Probability, distributions, hypothesis testing, correlation & regression
🤖 Machine Learning: D

 

📅 Duration: 3 Months
📚 Weekly Schedule: 3 Classes (2 Concept + 1 Doubt Clearing Session)
💰 Course Fee: ₹10,000
📖 Course Materials: Comprehensive e-notes, real-world datasets, practice case studies, and recorded sessions
📊 Core Statistics: Probability, distributions, hypothesis testing, correlation & regression
🤖 Machine Learning: Data preprocessing, supervised & unsupervised learning, model evaluation & optimization
🧑‍💻 Hands-on Learning: Python-based implementation with NumPy, Pandas, Matplotlib, Scikit-learn
🚀 Capstone Project: End-to-end project combining statistical analysis + ML modeling
💡 Practice & Feedback: Mini projects, coding assignments, and mentor guidance
🌍 Real-world Applications: ML in business, healthcare, e-commerce & social media
🎓 Certification: Completion certificate + project portfolio for job readiness




Google Review 


https://shorturl.at/eDjlC

Full-Stack Python for Data Science

Data Brain: Statistics + ML using Python

Full-Stack Python for Data Science

📅 Duration: 2-3 Months
📚 Weekly Schedule: 3 Classes (2 Concept + 1 Doubt Clearing Session)
💰 Course Fee: ₹6,000
📖 Course Materials: Comprehensive e-notes, real-world datasets, practice case studies, and recorded sessions
🐍 Python Foundations: Syntax, data structures, functions, OOP, and file handling
📊 Data Science Essentials: NumPy

📅 Duration: 2-3 Months
📚 Weekly Schedule: 3 Classes (2 Concept + 1 Doubt Clearing Session)
💰 Course Fee: ₹6,000
📖 Course Materials: Comprehensive e-notes, real-world datasets, practice case studies, and recorded sessions
🐍 Python Foundations: Syntax, data structures, functions, OOP, and file handling
📊 Data Science Essentials: NumPy, Pandas, Matplotlib, and Seaborn for data analysis & visualization
💡 Mini Projects: Monthly practice projects to apply concepts step by step
🚀 Capstone Project: End-to-end real-world data science project using Python & ML
🧑‍💻 Hands-on Learning: Work with live datasets across domains like business, healthcare, and e-commerce
🎯 Job Readiness: Weekly assignments, mentor feedback, and project portfolio building
🎓 Certification: Completion certificate + showcase portfolio for career opportunities




Google Review 


https://shorturl.at/eDjlC



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