Data Science Course in Bangalore | Best Data Science Course in Bangalore | Online Data Science Course | Online Best Data Science Course in Bangalore

Q: What is covered in the Data Science course at ProjectsatBangalore?

Our Data Science course covers Python fundamentals, Pandas and NumPy, Exploratory Data Analysis, Machine Learning with Scikit-learn, Deep Learning with TensorFlow and PyTorch, NLP, Computer Vision, Big Data with PySpark, Time Series forecasting, Business Intelligence with Tableau/Power BI, and end-to-end project deployment.

Q: Is the Data Science course suitable for BE, BTech and MTech students?

Yes. The curriculum is tailored for engineering scholars from CSE, ECE, EEE, Mechanical, Biomedical and related branches, with IEEE-aligned projects, source code, report and viva support.

Best Data Science Course Bangalore

— Curriculum Overview

Our Data Science course takes you from Python and data wrangling to production-ready ML/DL models, NLP pipelines, computer vision systems, big-data analytics and BI dashboards. Every module ends with an IEEE-aligned project suitable for final-year submission or portfolio.

Training modes: 30-day comprehensive, 15-day focused track (e.g. ML or NLP only), weekend and weekday batches, offline (Bangalore) and online.

Tools & Libraries Covered

Python · Pandas · NumPy Scikit-learn · XGBoost TensorFlow · Keras PyTorch PySpark · Kafka Tableau · Power BI SQL · PostgreSQL Transformers · SpaCy

Best Data Science Topics & Tools 2026

45 topics across all major Data Science domains with libraries and platforms used.

#	Data Science Topic / Project	Tools / Libraries
Machine Learning · Classical ML · Ensemble
01	MLCustomer Churn Prediction with Feature Engineering and XGBoost / LightGBM	Pandas · Scikit-learn · XGBoost · SHAP
02	MLCredit Risk Scoring System with Explainable AI (SHAP / LIME)	Scikit-learn · XGBoost · SHAP · Flask
03	MLHouse Price Prediction with Regularized Regression and Cross-Validation	Pandas · Scikit-learn · Matplotlib
04	MLFraud Detection on Imbalanced Transaction Data using SMOTE and Ensemble Models	Pandas · Imbalanced-learn · XGBoost
05	MLRecommendation System using Collaborative Filtering and Matrix Factorization	Surprise · Scikit-learn · Python
06	MLEmployee Attrition Analysis and Predictive Modelling for HR Analytics	Pandas · Scikit-learn · Seaborn
Deep Learning · Neural Networks · Transfer Learning
07	DLImage Classification with Transfer Learning (ResNet / EfficientNet) on Custom Dataset	TensorFlow · Keras · OpenCV
08	DLMedical Image Segmentation using U-Net / Attention U-Net on CT or MRI	PyTorch · OpenCV · NumPy
09	DLMulti-Label Text Classification with BERT Fine-Tuning	Transformers · PyTorch · Hugging Face
10	DLTime-Series Forecasting with LSTM / Temporal Fusion Transformer	TensorFlow · Pandas · Statsmodels
11	DLObject Detection and Tracking with YOLOv8 on Custom Video Streams	YOLOv8 · OpenCV · Python
12	DLSpeech Emotion Recognition using CNN-LSTM on Audio Features	Librosa · TensorFlow · NumPy
Natural Language Processing
13	NLPSentiment Analysis and Aspect-Based Opinion Mining on Product Reviews	NLTK · SpaCy · Scikit-learn · Transformers
14	NLPNamed Entity Recognition (NER) Pipeline for Domain-Specific Documents	SpaCy · Transformers · Python
15	NLPDocument Summarization and Keyword Extraction using T5 / BART	Transformers · Hugging Face · Python
16	NLPRAG-Based Q&A Chatbot with LangChain, FAISS and LLM API	LangChain · FAISS · FastAPI · OpenAI/Local LLM
17	NLPResume Parsing and Job-Matching System using NLP and Embeddings	SpaCy · Sentence-Transformers · Scikit-learn
18	NLPTopic Modelling and Trend Analysis on News / Social Media Corpus	Gensim · LDA · Pandas · Matplotlib
Computer Vision
19	CVReal-Time Face Mask / PPE Detection with YOLOv8 and Webcam	YOLOv8 · OpenCV · Python
20	CVOptical Character Recognition (OCR) Pipeline for Document Digitization	Tesseract · OpenCV · EasyOCR · Python
21	CVPlant Disease Classification from Leaf Images using CNN	TensorFlow · Keras · OpenCV
22	CVVehicle Number Plate Recognition (ANPR) with Detection + OCR	YOLOv8 · OpenCV · Tesseract
23	CVPose Estimation and Activity Recognition for Fitness / Safety Monitoring	MediaPipe · OpenCV · Python
24	CVSatellite / Aerial Image Change Detection using Siamese CNN	PyTorch · Rasterio · OpenCV
Big Data · Distributed Analytics
25	Big DataPySpark ETL Pipeline for Large-Scale Log / IoT Data Processing	PySpark · Delta Lake · Python
26	Big DataReal-Time Stream Analytics with Kafka and Spark Structured Streaming	Kafka · PySpark · Python
27	Big DataCustomer 360 Analytics on Multi-Source Data with Spark and SQL	PySpark · SQL · Tableau
28	Big DataDistributed Machine Learning on Spark MLlib for Classification / Clustering	PySpark MLlib · Python
29	Big DataData Lake Architecture Design and Query Optimization Case Study	PySpark · AWS S3 / Azure · SQL
Time Series · Forecasting · Anomaly Detection
30	Time SeriesDemand / Sales Forecasting with ARIMA, Prophet and LSTM Comparison	Statsmodels · Prophet · TensorFlow · Pandas
31	Time SeriesAnomaly Detection in Sensor / Network Time Series using Isolation Forest and Autoencoders	Scikit-learn · TensorFlow · Pandas
32	Time SeriesEnergy Consumption Forecasting for Smart Grid / Building Load	Prophet · TensorFlow · Pandas · Matplotlib
33	Time SeriesStock / Crypto Price Prediction with Feature Engineering and Ensemble Models	Pandas · Scikit-learn · TensorFlow · TA-Lib
34	Time SeriesPredictive Maintenance from Vibration / Sensor Time Series	SciPy · Scikit-learn · TensorFlow · Pandas
Business Intelligence · Visualization · Dashboards
35	BIInteractive Sales Dashboard with Tableau / Power BI and KPI Storytelling	Tableau · Power BI · SQL · Excel
36	BIPython Plotly Dash / Streamlit Dashboard for Operational Metrics	Plotly Dash · Streamlit · Pandas
37	BICohort Analysis and Customer Lifetime Value Dashboard	Pandas · SQL · Tableau · Python
38	BIA/B Test Analysis and Experimentation Reporting Pipeline	Pandas · SciPy · Statsmodels · Python
39	BIAutomated Report Generation from SQL Warehouse to PDF / Email	SQL · Python · Jinja · ReportLab
Healthcare · Domain Analytics · Capstone
40	HealthcareDisease Risk Prediction from EHR / Clinical Tabular Data	Pandas · Scikit-learn · SHAP · Python
41	HealthcareECG / PPG Signal Classification for Arrhythmia Detection	SciPy · TensorFlow · PhysioNet · Python
42	HealthcareHospital Readmission Prediction and Resource Optimization Analytics	Pandas · Scikit-learn · SQL · Tableau
43	HealthcareDrug–Target Interaction Prediction using Graph Neural Networks	PyTorch Geometric · RDKit · Python
44	HealthcareFederated Learning Concept for Privacy-Preserving Medical Model Training	PyTorch · Flower · Python
45	HealthcareCapstone: End-to-End Data Science Pipeline — Ingest → EDA → Model → Deploy → Dashboard	Full stack: Python · SQL · Scikit-learn/TF · FastAPI · Tableau/Streamlit

All topics include working Python source code, results, IEEE-aligned base paper reference (where applicable), university-format report and PPT. Custom domain topics available on request.

Why Train Data Science at ProjectsatBangalore?

IEEE-Aligned Curriculum

Modules map to real 2025–2026 research and industry use-cases in ML, DL, NLP, CV and analytics so your project is submission-ready.

20+ Libraries Depth

Pandas, Scikit-learn, XGBoost, TensorFlow, PyTorch, OpenCV, Transformers, PySpark, Tableau and deployment tools — not surface-level demos.

Project + Report + Viva

Training ends with a complete Data Science project package: code, results, report, PPT and viva Q&A for VTU / Anna / JNTU / NIT patterns.

Small Batches

Maximum 5 learners per batch for individual attention and pace matched to BE, BTech, MTech or working professionals.

Flexible Schedules

15-day focused tracks, 30-day comprehensive course, weekend and weekday options, offline Bangalore and online modes.

Lifetime Doubt Support

WhatsApp and email support continues after the course for project completion, journal work and viva preparation.

FAQ — Data Science Course Bangalore

Python fundamentals, Pandas/NumPy EDA, Machine Learning with Scikit-learn and XGBoost, Deep Learning with TensorFlow and PyTorch, NLP, Computer Vision, Big Data with PySpark, Time Series forecasting, Business Intelligence with Tableau/Power BI, and end-to-end deployment with FastAPI or Streamlit.

Yes. The course is designed for engineering scholars from CSE, ECE, EEE, Mechanical, Biomedical and related branches, with IEEE-aligned projects and university report support.

Python, NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, XGBoost, TensorFlow, Keras, PyTorch, OpenCV, NLTK, SpaCy, Transformers, PySpark, SQL, Tableau, Power BI, FastAPI and Docker basics.

Yes. Each learner completes at least one end-to-end project with source code, results, IEEE base paper reference, university-format report, PPT and viva Q&A support.

Data Science Training Lab — Bangalore

GPU workstations, Jupyter environments, Spark clusters and dashboard tools for hands-on Data Science training.

Python / Jupyter
Data Lab

EDA & ML

GPU Deep Learning
Station

TF / PyTorch

NLP & Transformers
Workbench

Hugging Face

Computer Vision
OpenCV Lab

Detection & OCR

PySpark / Big Data
Cluster

Distributed Analytics

Tableau / Power BI
Dashboard Lab

Business Intelligence

Deployment
FastAPI / Docker

Production Pipeline

Project & Viva
Support

Documentation