Courses / Data Science & ML

Data Science & Machine Learning (ML)

Data Science & Machine Learning (ML) combine statistics, programming and business understanding to build models that learn from data and power smart decisions, predictions and automation. With the right training in Python, ML algorithms, SQL and visualisation, you can step into high growth roles like Data Scientist, ML Engineer or Advanced Data Analyst.
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Course
Duration
Mode
Eligibility
Internship
Data Science & ML
6–9 Months
Online + Offline (Nirman Vihar campus)
Graduate / final year student, basic maths & Python/logic interest
Yes – capstone projects & job oriented support

Over 6–9 months, you move from Python & statistics to end‑to‑end ML models and mini‑projects, so you can show real work to employers instead of just certificates.

Data Science & ML at Global Key Technologies

Companies worldwide are using data science and ML to optimise marketing, risk, operations, product recommendations and automation. At Global Key Technologies, near Nirman Vihar Metro, East Delhi, our Data Science & ML program is structured to make complex ideas understandable even if you are starting from a non‑CS background, while still being rigorous enough for CS/IT graduates.

 

We follow the complete data science lifecycle—problem understanding, data cleaning, exploration, feature engineering, model building, evaluation and deployment awareness—using real‑world datasets and case studies.

Advanced Data Science & ML Program – Industry Ready Stack

Modern data roles require a stack of essential skills rather than just one tool:

 

  • Python for data cleaning, analysis and modelling.
  • Statistics & Probability for understanding variation, uncertainty and significance.
  • SQL for working with databases.
  • Machine Learning algorithms for classification, regression, clustering, etc.
  • Visualisation tools (Matplotlib/Seaborn, Power BI‑style dashboards) to communicate results.

 

Our Advanced Data Science & ML program at Global Key Technologies brings these together in a practical pathway:

 

  • Start with Python & maths foundations, then move into ML algorithms.
  • Use business‑style datasets (e‑com, finance, marketing, operations).
  • Build capstone projects that reflect real analytics and ML problems in companies.

Why Choose Global Key Technologies for Data Science & ML?

Delhi NCR is a major hub for analytics and AI roles, and institutes now design courses to match this demand. At Global Key Technologies, we focus on:

Hands on training

coding every concept in Python, not just slides.

Tool driven learning

pandas, NumPy, scikit learn, SQL, and visualisation libraries.

Business context

use cases from marketing, finance, operations and product analytics.

Career orientation

resume/LinkedIn optimisation, project storytelling and interview preparation (concept + coding).

Flexible Batches

morning, evening and weekend batches with online + offline options

Affordable Fees + EMI

options for East Delhi families

Data Science & ML Course Overview

Course Duration
6–9 months (depending on batch pace and depth)
Learning Mode
Classroom + Online support (Nirman Vihar, Delhi)
Eligibility
Any graduate / final year student / professional with comfort in basic maths and logic (CS/IT, BCA, B.Sc, B.Com, BBA, MBA etc.)
Who Can Join
People targeting Data Scientist, ML Engineer, Data Analyst (advanced), AI/ML focused roles
Internship & Job Support
A portfolio of DS/ML projects, working knowledge of tools, and interview oriented understanding of core concepts.

What You Will Learn – Key Data Science & ML Modules

  • Python basics: data types, control flow, functions, OOP essentials.
  • Working with NumPy and pandas for data loading, cleaning and manipulation.
  • Handling missing values, outliers and feature transformations.
  • Descriptive statistics (mean, median, variance, skewness, kurtosis).
  • Probability basics, distributions, sampling and central limit theorem.
  • Hypothesis testing and confidence intervals in practical terms.
  • Visual EDA with Matplotlib/Seaborn.
  • Writing queries to extract, filter, aggregate and join data from relational databases.
  • Understanding how backend data is structured and accessed in real systems.
  • Regression algorithms: Linear Regression, Regularized models (Ridge/Lasso).
  • Classification algorithms: Logistic Regression, k‑NN, Decision Trees, Random Forest, Gradient Boosting (concept + implementation).
  • Model evaluation: train/test split, cross‑validation, metrics (RMSE, accuracy, precision, recall, F1, ROC‑AUC).
  • Clustering (k‑Means, Hierarchical clustering).
  • Dimensionality reduction (PCA‑style concepts).
  • Feature scaling, encoding categorical variables, feature selection.
  • Time‑series basics or recommendation‑style concepts (depending on batch).
  • Awareness of deep learning, cloud deployment and MLOps at a conceptual level.
  • Building data stories using charts and dashboards (e.g., Power BI/Tableau‑style).
  • Presenting insights and model results for business users.
  • 2–3 guided projects (e.g., churn prediction, sales forecasting, classification problems).
  • Help with framing your end‑to‑end workflow: problem, data, features, model, evaluation, business impact.

Skills & Tools You Will Graduate With

By the end of the Data Science & ML course you will:

Programming

Code confidently in Python for data cleaning, analysis and ML.

Web Frontend

Use pandas, NumPy, scikit learn, Matplotlib/Seaborn in real projects.

Statistics

Understand and apply key statistics and ML algorithms with correct evaluation.

SQL queries

Write SQL queries to work with production style data.

insights

Translate business questions into data problems and communicate insights clearly.

Projects

Present projects and answer fundamentals confidently in interviews

These skills are exactly what employers look for in Data Scientist, ML Engineer and advanced Data Analyst roles, with India expecting millions of analytics and AI‑related opportunities in the coming years.

Who Should Enroll in Data Science & ML?

Graduate or Final year student

Are a graduate or final year student in BCA, B.Sc, B.Tech, B.Com, BBA, MBA etc. and want to shift into data/AI roles.

Developer, Tester

Already work as a developer, tester, MIS/analyst or digital marketer and want to move deeper into analytics and ML.

Working Professionals

Are a career switcher from non IT but comfortable with numbers and logic.

Entrepreneurs

who want to understand technology better

Data Scientist, ML Engineer

Plan to eventually work as a Data Scientist, ML Engineer or AI driven Product/Business Analyst.

Some comfort with maths and programming is helpful, but we start from fundamentals and build up steadily.

Why Global Key Technologies is the Best for Data Science & Machine Learning (ML) in Delhi

Global Key Technologies is at Office No‑304, Plot‑8, Chhabra Complex, Madhuban Road, Near Nirman Vihar Metro, Veer Savarkar Block, Shakarpur.

 

  • Easy to reach from Laxmi Nagar, Preet Vihar, Mayur Vihar, IP Extension and nearby areas
  • In the heart of East Delhi’s coaching and education hub
Prime Location – Nirman Vihar
Experienced Faculty (15+ Years)
Real-Time Projects & Case Studies
1-on-1 Mentorship & Doubt Support
Affordable Fees + EMI Options
Strong Placement & Alumni Network

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Start Your Data Science & ML Journey With Us

If you want to build a future‑proof career at the intersection of data and AI, this is the right time to start.

 

Call / WhatsApp +91‑99991 06899, visit our Nirman Vihar campus for a counselling session, or send an enquiry on the website to get details about batches, fees, EMI options and project roadmap.

100% Practical Learning + Live Projects

Internship + Placement Support

Beginner Friendly – No Coding Experience Needed

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