Data Science with ML & Python Course

Master data science with machine learning and Python

Learn Python, statistics, data analysis, visualization, SQL, machine learning, model evaluation, and real-world project development through a student-focused program designed for career readiness.

Designed for freshers, graduates, aspiring data analysts, and working professionals who want practical analytics skills, portfolio projects, and interview preparation.

Real Datasets Machine Learning Hybrid Learning

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Learners working on data science dashboards and machine learning projects

ProjectsPortfolio Ready

HybridClassroom + Online

Job-Oriented Program

Build data science, AI and ML skills

Learn Python, statistics, analytics, visualization, machine learning, and portfolio project development.

Python Machine Learning Visualization Live Projects

★★★★★ 4.8/5 learner rating

Data Science with AI & ML Course

A practical program for students, graduates, analysts, and professionals who want job-ready data science skills.

Course Fee Rs. 16,999 only

Classroom Live Online Hybrid

Python for data science
Statistics and data analysis
Machine learning model building
Power BI and visualization basics
SQL, pandas, NumPy and scikit-learn
Capstone projects and interview support

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Program Highlights

Career-focused data science training for future-ready learners

The program blends Python foundations, analytics practice, machine learning, dashboard thinking, capstone projects, and interview preparation so learners can move from basics to practical data science workflows.

Python First Approach

Build strong Python foundations for data handling, analysis, automation, and machine learning workflows.

Real Data Practice

Work on datasets, cleaning, exploration, visualization, reporting, and insight generation.

Machine Learning

Learn regression, classification, clustering, model evaluation, and predictive analytics concepts.

Career Support

Build a portfolio, prepare for interviews, and present your project work with confidence.

Global Certification Partners

Learning aligned with recognized technology ecosystems

NexEdge supports learning pathways connected with global technology, cloud, data, analytics, AI, cybersecurity, and professional certification ecosystems.

AWS

Microsoft

Google Cloud

Cisco

Red Hat

CompTIA

CertNexus

Cloud Security Alliance

PeopleCert

EXIN

Scrum

Linux Professional Institute

Why NexEdge

Practical learning, real projects, career-focused support

NexEdge helps learners build job-ready data skills through guided training, case studies, project practice, portfolio development, and structured career preparation.

Industry Trainers

Learn from trainers with practical analytics, machine learning, and business data experience.

Project-Based Learning

Build data science projects that show your ability to clean data, analyze patterns, and create models.

Interview Readiness

Prepare your resume, project explanations, portfolio, and interview answers for data-focused roles.

Why Learn Data Science

Turn raw data into business insights and predictions

Data Science helps organizations understand patterns, forecast outcomes, automate decisions, and solve real business problems using data, statistics, machine learning, and storytelling.

High-demand career skillsBuild skills required for data analyst, data scientist, ML, business analyst, and analytics roles.

Complete analytics workflowLearn data collection, cleaning, exploration, visualization, model building, and evaluation.

Portfolio-ready projectsCreate projects that demonstrate practical problem-solving with real data and Python tools.

Learning Access

Flexible learning for consistent practice

Revise core concepts, attend guided sessions, practice with datasets, and build confidence through mentor-supported learning.

Hybrid learning modeLearn through classroom and live online formats based on your schedule and learning plan.

Dataset practiceApply every concept through hands-on exercises, notebooks, and guided assignments.

Continuous improvementStrengthen Python, statistics, visualization, and model-building skills through repeated practice.

Course Curriculum

A structured path from Python basics to ML projects

The curriculum is designed around practical data science workflows, from programming and statistics to visualization, machine learning, and capstone projects.

Python Programming

Python syntax and data structures
Functions, files, and libraries
NumPy and Pandas basics
Jupyter Notebook workflows

Data Analysis

Data collection and cleaning
Exploratory data analysis
Data transformation
Insight generation

Data Visualization

Matplotlib and Seaborn
Charts and reporting
Dashboard thinking
Data storytelling

Statistics for Data Science

Descriptive statistics
Probability concepts
Hypothesis testing
Data interpretation

Machine Learning

Supervised learning
Unsupervised learning
Classification and regression
Model evaluation

Capstone Projects

End-to-end project workflow
Real business datasets
Project presentation
Portfolio development

Learning Journey

How the program builds your data skills

Python Foundation

Programming logic, notebooks, and core libraries.

Data Handling

Cleaning, transforming, and preparing datasets.

Visualization

Charts, dashboards, and storytelling with data.

Statistics

Probability, testing, interpretation, and decision support.

Machine Learning

Algorithms, model training, evaluation, and prediction.

Projects & Interviews

Portfolio projects, mock interviews, and career readiness.

Tools & Technologies

Practice with tools used in real data workflows

Python

NumPy

Pandas

Matplotlib

Seaborn

Scikit-Learn

Jupyter

SQL

TensorFlow

Flask

Git

GitHub

Hands-On Projects

Build projects that show real data capability

Customer Churn Prediction

Analyze customer behavior and build a model to identify retention risk.

Sales Forecasting Model

Use historical data to forecast sales trends and support planning.

Customer Segmentation

Apply clustering techniques to identify useful customer groups.

Business Performance Analytics

Create insights and recommendations from real-world datasets.

Students preparing for data science interviews

Career Support

Portfolio preparation and interview readiness

Build confidence in explaining your data science projects, ML models, tools, and business insights during interviews.

Resume and LinkedIn supportHighlight your data projects, tools, and practical learning clearly.

Mock interviewsPractice technical, project-based, and HR interview questions.

Portfolio guidancePrepare project explanations that connect business problems, analysis, and outcomes.

Corporate Clients & Recognition

Trusted by leading organizations and institutions

NexEdge works with corporate clients, institutions, and industry partners across learning, workforce development, analytics, technology, and transformation programs.

BSH

ORIX

SABIC

Royal Enfield

Eicher Motors

Zelle Biotechnologies

ISB Hyderabad

RV University

Christ University

New Horizon College

BSH

ORIX

SABIC

Royal Enfield

Eicher Motors

Zelle Biotechnologies

ISB Hyderabad

RV University

Christ University

New Horizon College

Who Should Enroll

A practical course for data career starters

Students & Graduates

Build data skills before entering the job market.

Aspiring Data Analysts

Learn analysis, reporting, visualization, and business insight generation.

Aspiring Data Scientists

Develop Python, statistics, machine learning, and project skills.

Working Professionals

Upskill into data-driven roles with practical project experience.

Student Success Stories

Learners who built confidence through practical data projects

Riya NairData Science Learner

"The hands-on projects helped me understand Python, data cleaning, visualization, and machine learning with confidence."

Varun KapoorAnalytics Learner

"The capstone project gave me a clear portfolio story to explain during interviews."

Aisha MalikML Learner

"The trainers made statistics and ML concepts easier through real examples and guided notebooks."

Riya NairData Science Learner

"The hands-on projects helped me understand Python, data cleaning, visualization, and machine learning with confidence."

Varun KapoorAnalytics Learner

"The capstone project gave me a clear portfolio story to explain during interviews."

Frequently Asked Questions

Questions students usually ask before enrolling

Do I need coding experience?

No. The program starts with Python basics and gradually moves into analytics, statistics, visualization, and machine learning.

Will I work on real projects?

Yes. You will work on guided projects such as churn prediction, forecasting, segmentation, and business performance analytics.

Which tools will I learn?

You will work with Python, NumPy, Pandas, Matplotlib, Seaborn, Scikit-Learn, SQL, Jupyter, TensorFlow basics, Git, and GitHub.

Does the course include career support?

Yes. The program includes resume support, portfolio guidance, mock interviews, and project explanation preparation.

Can I request a free demo?

Yes. You can book a demo to understand the course structure, teaching style, tools, and project approach.

Ready to Start?

Build your data science career with NexEdge

Learn Python, analytics, visualization, machine learning, and project development with practical training designed for students and career starters.

Enroll Now Book Free Demo Contact Us