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Online Data Science, Machine Learning & AI Training Program

Become a Data Scientist & AI Expert

Build future-ready analytical and AI-powered skills with Netcoder Technology’s Online Data Science, Machine Learning & AI program. Learn Python, machine learning, artificial intelligence, Power BI, SQL, and predictive analytics through live online classes, practical projects, and hands-on industry-focused training from anywhere in India.

  • 20-Week Structured Program
  • 1-on-1 Mentorship & Doubt Support
  • 20+ Real Industry Projects
  • Placement & Certification Support

Data Science & AI Course: Highlights

Explore what makes this program industry-ready and future-focused.

cohort-based learning

Learn with a group of like-minded learners in a structured environment where collaboration and peer learning accelerate your growth.

  • Work on real datasets with your cohort
  • Learn through discussions and teamwork

Hands-On Projects

Gain practical experience by working on real-world data science and AI projects that build your portfolio.

  • Build machine learning models
  • Create AI-based applications

Career Support

Get complete support to start your career in Data Science and AI with confidence.

  • Resume building & mock interviews
  • Placement support & job referrals
Need guidance

Need Guidance To Start In Data Science & AI?

Build practical skills in Data Science, Machine Learning, and Artificial Intelligence with Netcoder Technology’s Online Data Science Mentorship Program. Learn Python, data analytics, machine learning, AI concepts, dashboards, and real-world data projects through live mentorship, practical assignments, and industry-focused learning designed for aspiring data professionals.

Contact Us

Training Roadmap

1

Python Foundation

Start your journey with Python programming, covering basics like variables, loops, functions, and data structures. Build a strong coding foundation required for data science and AI.

2

Data Analysis & Visualization

Learn how to clean, process, and analyze data using Pandas and NumPy. Create insightful visualizations using tools like Matplotlib and Seaborn.

3

Statistics & Math for AI

Understand key concepts like probability, distributions, and linear algebra that power machine learning algorithms and data-driven decision making.

4

Machine Learning Models

Build and train models like regression, classification, and clustering using Scikit-learn. Learn model evaluation and optimization techniques.

5

Deep Learning & AI Applications

Explore neural networks, NLP, and computer vision using TensorFlow and PyTorch. Build real-world AI applications and intelligent systems.

6

Projects & Career Launch

Work on industry-level projects, build your portfolio, prepare for interviews, and get ready for high-paying roles in Data Science & AI.

Data Science & AI Course Curriculum

A complete overview of our Data Science & Artificial Intelligence program, covering Python, machine learning, deep learning, data analysis, AI models, real-world datasets, and industry-focused projects.

  • Duration
  • 20 Weeks
  • Mode
  • Online
  • Live Sessions
  • 120+ hrs
  • Projects
  • 21+
• Placement Support

Milestone 1 - Duration: 2 weeks

Python, Statistics & Data Fundamentals • 6 Live Sessions • 2 Projects • 2 Case Studies

This milestone builds a strong foundation in Data Science and AI by introducing Python programming, statistics, and data handling concepts. Learners will understand how data is collected, processed, and analyzed to extract meaningful insights.

Week 1

Python Programming & Data Handling

  • Introduction to Python & environment setup
  • Variables, data types, loops & functions
  • Working with files & datasets
  • NumPy & Pandas basics
  • Data cleaning & preprocessing
Week 2

Statistics & Data Analysis

  • Descriptive statistics (mean, median, mode)
  • Probability fundamentals
  • Data distribution & visualization
  • Correlation & regression basics
  • Exploratory Data Analysis (EDA)

Milestone 2 - Duration: 5 weeks

Data Analysis, Visualization & SQL • 10 Live Sessions • 2 Projects

This milestone focuses on analyzing real-world datasets using SQL, Python, and visualization tools. Learners will transform raw data into meaningful insights and dashboards.

Week 1

SQL & Database Management

  • Introduction to databases & SQL
  • CRUD operations (SELECT, INSERT, UPDATE)
  • Joins, subqueries & aggregations
  • Data extraction for analysis
  • Working with large datasets
Week 2

Data Visualization & Dashboarding

  • Data visualization principles
  • Matplotlib & Seaborn
  • Power BI / Tableau basics
  • Interactive dashboards
  • Storytelling with data

Milestone 3 - Duration: 4 weeks

Machine Learning Fundamentals • 12 Live Sessions

This milestone introduces machine learning concepts including supervised and unsupervised learning. Learners will build models and understand how predictions and automation work.

Week 1

Supervised Learning & Regression

  • Introduction to machine learning
  • Linear & logistic regression
  • Model training & evaluation
  • Overfitting & underfitting
  • Performance metrics
Week 2

Unsupervised Learning & Clustering

  • K-Means clustering
  • Dimensionality reduction
  • Feature engineering
  • Model optimization
  • Real-world ML applications

Milestone 4 - Duration: 4 weeks

Artificial Intelligence & Deep Learning • 12 Live Sessions

This milestone focuses on AI concepts including neural networks, deep learning, and real-world AI applications such as NLP and computer vision.

Week 1

Deep Learning & Neural Networks

  • Introduction to neural networks
  • Activation functions & layers
  • TensorFlow / PyTorch basics
  • Model training & tuning
  • AI project implementation
Week 2

NLP & Computer Vision

  • Natural Language Processing basics
  • Text classification & sentiment analysis
  • Image processing fundamentals
  • Object detection basics
  • AI use cases & deployment

Milestone 5 - Duration: 2 weeks

Deployment, Projects & Career Readiness • 6 Live Sessions

This milestone focuses on deploying AI models, building portfolios, and preparing for careers in Data Science and AI roles.

Week 1

Model Deployment & MLOps

  • Model deployment basics
  • Flask / API integration
  • Cloud deployment (AWS basics)
  • Model monitoring & scaling
  • Real-world deployment case study
Week 2

Career Readiness & Portfolio

  • Resume building for Data Science roles
  • Portfolio projects & GitHub optimization
  • Mock interviews & coding rounds
  • LinkedIn optimization
  • Job assistance & networking

Choose Your Learning Track

Growth Track

Upskill in Data Science, Machine Learning & AI for Career & Freelancing Growth

₹5,999 Per Month

₹3,999 Per Month Inclusive of all taxes

  • 20 Weeks Data Science & AI Mentorship Program
  • 25+ Industry Projects & Certification
  • Hands-on Python, SQL & Machine Learning

Career Track

Become Job-Ready Data Scientist with AI Skills & Placement Support

₹6990 Per Month

₹4,999 Per Month Inclusive of all taxes

  • 20 Weeks Advanced Data Science & AI Program
  • 30+ Real-World Projects & Capstone
  • 100 % Placement Assistance

Choose Your Learning Track

Program Features Growth Track Career Track
Primary Goal Upskill for Career, Freelancing, Business & Marketing Growth Land a Full-Time Digital Marketing Job
Ideal For Students, Business Owners, Freelancers & Professionals Students, Job Seekers & Career Switchers
Placement Support Guidance & Mentorship Support Dedicated Placement Team
Job Guarantee Not Included Included
Program Duration 20 Weeks 20 Weeks
Hours of Learning 120+ Hours 150+ Hours
1:1 Mock Interviews 1 Mock Interviews 2 Mock Interviews
LOR from Company Not Applicable Available
Learner Success Team Included Included
Certification Included Included
Program Fee ₹3999 Per Month ₹4999 Per Month

Frequently Asked Questions

Find quick answers to common questions about our Data Science & AI training program, curriculum, and career opportunities.
Who can join Data Science & AI course?

This course is ideal for beginners, graduates, and working professionals who want to build a career in Data Science, Artificial Intelligence, and Machine Learning.

Do I need a strong math or coding background?

No, you don’t need advanced math or coding knowledge. We start from basics and gradually cover Python, statistics, and machine learning concepts in a simple way.

What technologies will I learn?

You will learn Python, NumPy, Pandas, Matplotlib, Machine Learning, Deep Learning, AI models, and tools like Jupyter Notebook and Scikit-learn.

Will I work on real-world data projects?

Yes, you will work on real datasets like sales prediction, fraud detection, recommendation systems, and AI-based classification projects.

Will I get a certificate after completion?

Yes, you will receive a recognized certificate after completing the course, which helps in job applications and internships.

Is there internship or placement support?

Yes, we provide internship opportunities, project-based learning, resume building, and placement assistance for eligible students.

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