Industry-Built Curriculum
Built around what data science roles actually require.
Data Science with ML & Python
Master Data Science with ML & Python
From Python basics to deploying machine learning models
A 14-week hybrid program built around real data, real projects, and the skills employers actually want. If you want to build the engine, not just read the dashboard, this is your program.
14 Weeks
Hybrid format
80+ Partners
AWS, Google, VIBM & more
Placement
Resume + interview support
Python to ML
Build predictive models
Deploy
Flask capstone project
Free demo class available.
Attend a demo, experience the teaching style, and understand the curriculum before you commit.
Book Free Demo
Why NexEdge?
The edge is in how we teach
Not just what. Every decision in the program design, curriculum, format, and pacing is built around one question: does this get you hired?
Placement Assistance
Resume reviews, mock interviews, and recruiter connections to support your move from training to opportunity.
Hands-On From Day One
Work on real datasets from week one and finish with a capstone portfolio project.
Flexible Hybrid Format
Classroom collaboration with online flexibility for professionals and graduates.
80+ Global Certifications
Partner network across AWS, Microsoft, Google, IBM and more.
Free Demo Class
Attend a demo class and decide with clarity.
About NexEdge
Bangalore's most advanced training institute
NexEdge was built to close the gap between academic training and what industry actually demands. Our programs are engineered around real job requirements, not textbooks, and taught by instructors who have done the work themselves.
Located at BTM Layout, Bangalore, we serve students, corporate teams, and college campuses across India. Every learner leaves with certifications, a project portfolio, and the confidence to perform on day one.
Training Methodology
A structured method for real progress
01
Conduct Gap Analysis
02
Formulate the training program
03
Explore effectiveness and completeness
04
Company-specific exercises and role-plays
05
Conduct training
06
Post-test to assess learning level
07
Follow-up test after one month
08
Refresher sessions for concepts needing support
What You'll Learn, Precisely
Every topic helps you build something useful
Python & Data Manipulation
- Python syntax, data structures and functions
- NumPy arrays, broadcasting and vectorised operations
- Pandas DataFrames, cleaning, merging and grouping
- Jupyter notebooks workflow and documentation
- Data importation from CSV, JSON and SQL databases
Machine Learning
- Linear and Logistic Regression
- Decision Trees, Random Forests and SVM
- K-Means, DBSCAN and PCA
- Accuracy, ROC, F1 and confusion matrix
- XGBoost, Gradient Boosting and hyperparameter tuning
Statistics & Visualisation
- Feature scaling, bias and variance
- Probability distributions and ML assumptions
- Feature importance, A/B testing and monitoring
- Correlation analysis and regression
- Matplotlib and Seaborn visual storytelling
Advanced Topics & Capstone
- Feature engineering and dimensionality reduction
- NLP: tokenisation, TF-IDF and sentiment
- Time series analysis and forecasting
- SQL for data science workflows
- Model deployment with Flask end-to-end project
Learning Path
Your 14-week transformation
A structured progression from zero to deploy. Each phase builds on the last so you finish with a full stack of data science skills.
Weeks 1-3
Python & Data Foundations
Python syntax, data structures, functions, NumPy arrays, Pandas DataFrames, and Jupyter notebooks. Clean, reshape, and manipulate real-world datasets before month one is over.
Weeks 4-6
Statistics & Visual Storytelling
Descriptive statistics, hypothesis testing, correlation analysis, regression, Matplotlib and Seaborn.
Weeks 7-10
Machine Learning Core
Supervised learning, unsupervised learning, model evaluation, cross-validation and tuning with Scikit-learn and XGBoost.
Weeks 11-13
Advanced Topics
Feature engineering, dimensionality reduction, NLP basics, time series analysis and SQL extraction workflows.
Week 14
Capstone Project & Deployment
End-to-end project: data collection, cleaning, modelling, evaluation, Flask deployment and industry panel presentation.
Learning Method
Learn, Apply, Collaborate, Improve
Foundations, examples, hands-on practice, discussions, feedback and assessments.
Learning Experience
How each phase keeps you moving forward
Learn the Basics
Build strong foundations.
Understand & Explore
Deep dive through examples.
Practice & Apply
Hands-on exercises.
Collaborate & Discuss
Interactive activities.
Reflect & Improve
Feedback and assessment.
Tools Covered
Python
NumPy
Pandas
Matplotlib
Seaborn
Scikit-Learn
XGBoost
Jupyter
Flask
SQL
Python
NumPy
Pandas
Matplotlib
Seaborn
Scikit-Learn
XGBoost
Jupyter
Flask
SQL
Practice with tools used in real workflows
Python
NumPy
Pandas
Matplotlib
Seaborn
Scikit-Learn
Jupyter
Flask
SQL
Python
NumPy
Pandas
Matplotlib
Seaborn
Scikit-Learn
Jupyter
Flask
SQL
Our Faculty
Taught by people who have done the work
Venkateshwara Rao
Founder & MD - Curriculum Architect. Technologist and platform architect with a record of building products that serve 100K+ users and consulting for Fortune 500 companies.
Mohammed Ali
Co-Founder & MD - Training Methodology. Former lecturer at Mangalore University turned serial entrepreneur with decades in education.
Data Science Instructors
Python, ML and statistics specialists with hands-on experience building ML pipelines in production.
Industry Mentors
Guest lectures and capstone reviews from data scientists and ML engineers at companies like Flipkart, Wipro, Infosys and Deloitte.
Clientele & Recognition
Razorpay
Flipkart
Infosys
EY
Wipro
TCS
Swiggy
TechVista
Deloitte
HCLTech
Freshworks
NASSCOM
Razorpay
Flipkart
Infosys
EY
Wipro
TCS
Swiggy
TechVista
Deloitte
HCLTech
Freshworks
NASSCOM
Our graduates work across recognised companies
NexEdge students have been placed at recognised companies. Corporate training clients span IT services, fintech, e-commerce and consulting.
Global Certifications Partner
AWS
Microsoft
Cisco
Red Hat
Linux Foundation
CompTIA
PeopleCert
Scrum.org
CSA
NVIDIA
AWS
Microsoft
Cisco
Red Hat
Linux Foundation
CompTIA
PeopleCert
Scrum.org
CSA
NVIDIA
Certified network with global partners
The brochure highlights 80+ partners including AWS, Microsoft, Cisco, Red Hat, Linux Foundation, CompTIA, PeopleCert, EXIN, Scrum.org, CSA and more. Replace these logo tiles with official partner images wherever needed.
AWS
AWS
Everything You Want To Know
Straight answers, no jargon
Do I need prior experience?
No prior data science or programming experience is required. The program starts from Python basics and builds progressively. A basic comfort with computers and willingness to learn is all you need.
How is this different from Data Analytics?
Data Analytics focuses on dashboards, reporting, Excel, SQL and Power BI. Data Science goes further with Python, statistics and machine learning to build predictive models.
Is the course online or in-person?
The program is hybrid: a blend of classroom sessions at BTM Layout and online access for flexibility. Batch timings are designed to accommodate working professionals.
Ready to Master Data Science with ML & Python?
Build models, deploy projects, and prepare for data science interviews.
Join the 14-week NexEdge hybrid program and move from Python foundations to machine learning, advanced topics, capstone deployment, portfolio building and placement support.
NexEdge - The Edge You Deserve