Best Data Science & AI Training in Bhubaneswar
Best Data Science & AI Training in Bhubaneswar
In today’s data-driven digital economy, mastering Data Science and Artificial Intelligence has become essential for building a successful career in technology and analytics. At InfrasofTech, we offer the best Data Science & AI training in Bhubaneswar, designed to equip students and professionals with strong analytical foundations and practical industry-ready skills. Our training focuses on real-world datasets, hands-on projects, and problem-solving techniques to help learners gain confidence in transforming raw data into meaningful insights and intelligent solutions.
Our Data Science & AI course covers Python for Data Science, NumPy, Pandas, Data Visualization, Statistics, Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, and Model Deployment along with real-time projects and case studies. Whether you are a beginner, a student, or a working professional aiming to upgrade your skills, our structured curriculum and expert mentors ensure you stay competitive in today’s rapidly evolving AI-powered industry. We emphasize data preprocessing, feature engineering, model building, evaluation techniques, and scalable AI solutions to prepare you for real-world challenges across industries such as healthcare, finance, e-commerce, and automation.
InfrasofTech Training TeamLearning Data Science & AI is not just about analyzing data — it’s about building intelligent systems that predict trends, automate decisions, and drive innovation. At InfrasofTech, we train you to think like a data scientist, apply AI with confidence, and transform your skills into a successful and future-ready career in the world of intelligent technology.
Key Features of Our Python Training Program
- Industry-Recognized Course Completion Certificate
- Weekly Doubt-Clearing Sessions (Every Sunday)
- Free Git & GitHub Training for Version Control and Collaboration
- Interview-Focused Questions & Answers Discussion Sessions
- Free Aptitude, Soft Skills & Resume Building Program
- Recorded Video Access for Revision and Flexible Learning
- Special One-to-One Guidance for Live Project Development
- Weekly Online Skill Assessment Tests with Detailed Notes & Feedback
Introduction to Python Full Stack Syllabus
Module 01
DATA SCIENCE & PYTHON FOUNDATION
- Evolution of DS & AI Lifecycle
- Python Syntax, Variables & Dynamic Typing
- Control Flow: if-elif-else & Loops
- Modular Programming: Functions & Lambda
- File Handling (CSV/Text) & Exception Handling
Module 02
PROBABILITY & STATISTICS
- Population vs Sample & Scales of Measurement
- Descriptive Stats: Mean, Median, Std Dev, IQR
- Probability Theory & Bayes’ Theorem
- Distributions: Normal, Binomial, Poisson
- Outlier Detection & Z-Score Analysis
Module 03
NUMERICAL COMPUTING WITH NUMPY
- NumPy Ndarrays & Indexing
- Broadcasting & Vectorized Operations
- Mathematical & Statistical Functions
- Array Manipulation & Slicing
Module 04
PANDAS FOR DATA MANIPULATION
- Series, DataFrames & Data Inspection
- Handling Missing Values & Duplicates
- Filtering, Sorting & GroupBy Aggregation
- Pivot Tables, Merging & Concatenation
Module 05
DATA VISUALIZATION (MATPLOTLIB & SEABORN)
- Line, Bar, Scatter & Histograms
- Distribution & Categorical Plots
- Heatmaps & Correlation Matrices
- Subplots & Aesthetic Customization
Module 06
EDA & FEATURE ENGINEERING
- Univariate, Bivariate & Multivariate Analysis
- Data Cleaning & Outlier Treatment
- Encoding Categorical Variables
- Normalization, Standardization & Scaling
- Feature Creation & Selection Methods
Module 07
SQL FOR DATA ANALYTICS
- RDBMS, Constraints & ER Diagrams
- SELECT, JOINs (Inner, Left, Right, Full)
- Aggregate Functions & Subqueries
- Views, Indexes & Database Normalization
Module 08
WEB SCRAPING & COLLECTION
- BeautifulSoup & HTML Parsing
- Selenium for Dynamic & Infinite Scrolling
- Automation Scripts for Dataset Generation
- Multi-page Scraping & Image Collection
Module 09
BUSINESS INTELLIGENCE (POWER BI)
- Power Query: Data Cleaning & Import
- Data Modeling & Relationship Mapping
- DAX Measures & Calculated Columns
- Dashboarding & Business Storytelling
Module 10
MATH FOR MACHINE LEARNING
- Linear Algebra: Vectors, Matrices & Eigenvectors
- Calculus: Derivatives & Partial Derivatives
- Cost Functions & Gradient Descent Variants
- Optimization for Model Convergence
Module 11
SUPERVISED LEARNING (REGRESSION)
- Simple & Multiple Linear Regression
- Polynomial & Regularized (Lasso/Ridge)
- Error Metrics: MSE, MAE, R-Squared
- Decision Trees & Random Forest Regressors
- Gradient Boosting & XGBoost Models
Module 12
SUPERVISED LEARNING (CLASSIFICATION)
- Logistic Regression & Sigmoid Function
- KNN, Naive Bayes & SVM Kernels
- Evaluation: Confusion Matrix, AUC-ROC
- Pruning & Interpretability in Trees
- Ensemble Methods: Bagging & Boosting
Module 13
UNSUPERVISED LEARNING
- K-Means, Hierarchical & DBSCAN Clustering
- Dimensionality Reduction: PCA
- Explained Variance & Feature Compression
- Visualization of High-Dimensional Data
Module 14
DEEP LEARNING & NEURAL NETWORKS
- Perceptrons & Multi-Layer Perceptrons (MLP)
- Activation Functions: ReLU, Sigmoid, Tanh
- CNNs for Image Processing
- RNNs, LSTMs & GRUs for Sequences
Module 15
NLP & GENERATIVE AI
- Tokenization, Lemmatization & spaCy
- Transformer Architecture & Attention
- LLMs (GPT, LLaMA) & Hugging Face
- Prompt Engineering & Chatbot Building
Module 16
MLOPS & DEPLOYMENT
- Model Lifecycle: Train, Validate, Monitor
- CI/CD/CT (Continuous Training) Pipelines
- REST APIs with FastAPI & Flask
- Docker Containerization & Kubernetes
- Cloud: AWS SageMaker, Azure ML, Vertex AI
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