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Data Science Python ML AI DS

Learn data analysis, visualization, machine learning, and real-world problem-solving using Python, Pandas, NumPy, Matplotlib, and AI tools — fully offline, hands-on, and project-driven.

Python

Introduction to Python, Data Types & Scripting, Lists, Tuples, Dictionaries, Conditional Logic, Loops, Arrays & String Operations, Functions & Modules

Adv Python

Data Persistence, GUI Development & Event Handling , Multithreading, Flask, Web Scraping, Final Capstone Project

OOPS

Classes and Objects, Constructors, Inheritance, Exception Handling, and File Management.

Data analytics

Data Analysis, Data Cleaning, Visualization with Matplotlib & Seaborn, Real-World Case Studies, Insight Generation, Dashboard Creation using Pandas and Python tools.

Databases

MySQL and MongoDB Integration, Queries & Joins, Data Modeling, CRUD Operations, Firebase Realtime Database, Cloud Firestore, and Local Data Storage using SQLite.

Server-Side Development

API, Routing & Middleware, JSON, Google cloud Deployment, Cloud Functions, Firebase, AI/ML Integration, Pub/Sub & Cloud Run, Model Serving, CI/CD Pipelines, Monitoring

Data Structures & Algorithms

Arrays and Lists, Hash Tables, Trees and Graphs, Stacks and Queues, Sorting Algorithms, Searching Algorithms, Dynamic Programming, Graph Algorithms, Time and Space Complexity, Data Structure Design

Artificial Intelligence

Natural Language Processing (NLP) Text preprocessing, transformers (BERT, GPT), chatbots. Reinforcement Learning (RL) Q-learning, Deep RL, robotics/gaming applications. MLOps & AI Deployment Model serving for ML, monitoring.

Machine Learning

Supervised Learning with regression (linear, logistic) and classification (decision trees, SVM, KNN) Scikit-learn. Unsupervised Learning with K-means, hierarchical clustering, PCA, and t-SNE for pattern discovery. Model Evaluation with accuracy, precision, recall, RMSE, cross-validation, and confusion matrix. optimize models.

Math & Statistics Foundation

Regression Analysis, Hypothesis Testing, Correlation, Dimensionality Reduction, Outlier Detection, Time Series, Probability Distributions Sampling Techniques, Confidence Intervals, Contingency Tables, ANOVA, P-value, Effect Size Bayes’ Theorem Data Normalization/Standardization

Power BI

Data Connectivity, Power Query, Data Modeling, DAX (Data Analysis Expressions), Interactive Visualizations, Dashboards, Real-Time Data, AI Integration, Security Features, Collaboration, Report Sharing, Custom Visuals, Dataflows, Power BI Desktop, Mobile Accessibility, Automated Insights

Web Frontend Development

Responsive Web Design with HTML5, CSS3, JavaScript & Bootstrap · DOM Manipulation · UI/UX Principles · App Design Tools · Wireframing & Prototyping · Interactive Interfaces with Clean Visuals

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