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Data Science & Artificial Intelligence

Master the fundamentals of AI, ML, and Deep Learning through our comprehensive curriculum

Data Analysis with Python

  • 1.1Data Science Fundamentals
  • 1.2Python for Data Science
  • 1.3Statistics for Data Science
  • 1.4Data Operations with NumPy
  • 1.5Data Manipulation with Pandas

Data Visualization Techniques

  • 2.1Introduction to Data Visualization
  • 2.2Visualization using Matplotlib
  • 2.3Advanced Pandas Visualization
  • 2.4Data Storytelling Techniques

EDA & Data Storytelling

  • 3.1Exploratory Data Analysis
  • 3.2EDA Framework Deep Dive
  • 3.3Scientific Data Exploration
  • 3.4Insight Delivery Workshop

Machine Learning Foundation

  • 4.1Intro to ML
  • 4.2Linear Regression
  • 4.3Principal Component Analysis
  • 4.4K-means Clustering

Machine Learning Intermediate

  • 5.1Naïve Bayes Classifier
  • 5.2Logistic Regression
  • 5.3KNN (K-Nearest neighbors)
  • 5.4Decision Tree

Machine Learning Advanced

  • 6.1Ensemble Learning
  • 6.2Recommender System
  • 6.3Time Series Analysis
  • 6.4ML Model Optimization

Basics of AI and Deep Learning

  • 7.1Introduction to Artificial Intelligence
  • 7.2Introduction to Deep Learning
  • 7.3Components affecting Deep Learning Models
  • 7.4Deep Learning Model with Tensorflow

Computer Vision

  • 8.1Intro to Convolutional Neural Networks
  • 8.2Decoding Image Components
  • 8.3Identifying MNIST using CNN
  • 8.4Preprocessing Image Data

Natural Language Processing

  • 9.1Introduction to NLP & Word Vectors
  • 9.2Decoding Textual Data
  • 9.3NLP using RNN
  • 9.4NLP using Memory Alterations

CV Specialization

  • 10.1Transfer Learning
  • 10.2Object Detection with CNN - I
  • 10.3Object Detection with CNN - II
  • 10.4Instance Segmentation in Images

NLP Specialization

  • 11.1Language Modeling
  • 11.2Advanced NLP using BERT
  • 11.3Language Translation
  • 11.4Attention Mechanism

Building AI Solution

  • 12.1Intro to Cloud Computing
  • 12.2AI on Google AI Platform
  • 12.3Building AI Pipeline
  • 12.4Building AI Solution

Why Choose Our Data Science & AI Program?

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Expert Data Scientists

Learn from experienced data scientists and AI researchers who have implemented solutions at Fortune 500 companies and leading research labs.

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Data Analytics Projects

Master data analysis tools like Python, R, SQL, and Tableau through hands-on projects focused on real business problems and analytics challenges.

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Advanced Analytics Path

Progress from basic statistics to advanced machine learning and artificial intelligence, building a comprehensive data science skill set.

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Big Data Experience

Work with large-scale datasets using tools like Hadoop and Spark, learning to handle real-world data processing challenges.

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Industry Applications

Learn how to apply data science across industries - from finance and healthcare to marketing and technology, with specialized domain tracks.

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Career Excellence

Get comprehensive career support including resume building, interview preparation, and connections to our network of data science employers.

From Finance to Data Science Success!
"Coming from a finance background, I was worried about transitioning to data science. The course structure was perfect - starting from Python basics to advanced machine learning. The hands-on projects using pandas and scikit-learn were incredibly practical. Now I'm working as a Data Scientist at a major consulting firm!"
Aditya Kumar
Comprehensive AI Journey
"The program exceeded my expectations in every way. From statistical analysis to deep learning with Keras and TensorFlow, each module was well-designed. The capstone project on predictive analytics for e-commerce helped me understand real-world applications. The instructors' expertise in both theory and implementation was evident."
Neha Desai
Perfect for Career Advancement
"As a business analyst, I needed to upskill in data science. This course provided exactly what I needed - from data visualization with Python to advanced machine learning models. The project on customer segmentation using clustering algorithms directly applied to my work. Within months, I secured a senior data analyst position!"
Rohit Sharma
Excellent Learning Experience
"The journey from understanding basic statistics to implementing complex neural networks was made incredibly smooth. The hands-on sessions with real-world datasets, code reviews, and mentorship were invaluable. I especially loved the natural language processing projects using BERT and transformers."
Ananya Mehta
Outstanding Career Support
"The career support was phenomenal! From resume building focused on data science roles to mock technical interviews covering SQL, Python, and ML concepts. The guidance on creating a GitHub portfolio with data science projects was crucial. I received multiple job offers within weeks of completion!"
Karan Malhotra
Cutting-edge AI Curriculum
"The course stays current with the latest in AI. We worked on computer vision projects using PyTorch, explored GPT models, and implemented recommendation systems. The instructors' experience in both academic research and industry applications made the learning experience unique. Now I'm leading AI initiatives at my organization."
Meera Reddy

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