Home
CUET English Speaking Animation IT Services Blog Contact-Us
7428309478 Enroll Now
Gradeup Infotech Academy | ★ 4.9/5 Student Rating

Best
Data Science Course in Ghaziabad

Join our Microsoft Certified Industry Experts and master high-demand tools like Machine Learning, Deep Learning, Neural Networks, Python, R, & SQL. Get 100% placement assistance in Noida, Delhi, and Gurugram.

100%
Practical Labs
20+
Industry Projects
360°
Placement Support
Active Model Accuracy
98.6%
+2.4% (vs epoch 10)
Validation Loss
0.012
Optimized Neural Net
Epoch Validation Accuracy
Training Mode
30.0%
45.0%
68.0%
80.0%
90.0%
98.6% (Final)
E10 E25 E45 E60 E80 E100
Inference Engine Output

Steps: 10,000 runs Latency: 12 ms
> model.fit(x_train, y_train, epochs=100)
Epoch 100/100 - loss: 0.012 - acc: 0.986 - val_loss: 0.015
Core Overview

What is Data Science?

At its core, Data Science is the interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data, paving the way for predictive modeling, machine learning, and artificial intelligence solutions.

Data Engineering & Wrangling

"How is data prepared?" - Ingests, cleans, and structures petabyte-scale databases to enable seamless analysis pipelines.

SQL & NoSQL Apache Spark

Statistical Foundations

"What are the patterns?" - Leverages hypothesis testing, probability, and linear algebra to build the mathematics behind models.

Hypothesis Test Linear Algebra

Machine Learning Modeling

"How do we predict?" - Trains supervised and unsupervised algorithms (trees, ensembles, clusterers) to make business forecasts.

Scikit-Learn Supervised ML

Deep Learning & GenAI

"How do we build AI?" - Employs artificial neural networks, computer vision models, NLP systems, and fine-tunes LLMs.

TensorFlow PyTorch
🎯 The Gradeup Advantage

Why learn with GradeUp Infotech Academy in Ghaziabad?

Ghaziabad is rapidly growing as a technology and educational hub in Delhi NCR. We bridge the gap between classroom theory and real-world execution with local, practical, and highly affordable mentorship.

💸

Affordable Fees

Highly competitive pricing compared to metro cities, with flexible installment options designed to make tech education accessible.

Quality Training

Master high-demand tools (Python, SQL, Power BI, Excel) with hands-on lab training under Microsoft Certified industry mentors.

👨‍🎓

500+ Trained

Join a massive, growing alumni network working at top tech firms, multinational corporations, and startups in Delhi NCR.

🏆

100+ Placements

Proven track record of getting freshers and professionals placed at top companies in Noida, Delhi, and Gurugram.

Syllabus Breakdown

Course Curriculum

Our modular syllabus is strictly structured to build core knowledge sequentially. You start with basic programming and mathematical modeling, and progress to advanced neural nets and cloud deployment.

Module 01 / Programming Basics

Python & R Coding for Data Science

Learn the fundamentals of writing clean, efficient data manipulation scripts in Python and R, the two most popular languages for scientific computing.

  • Vectorized operations and arrays in NumPy
  • Data loading, cleaning, and preprocessing with Pandas
  • Visualization libraries: Seaborn, Matplotlib, and ggplot2
  • Scripting paradigms, loops, and custom data structures

Languages Mastered

Python 3 R Language Pandas & NumPy
Module Project
Interactive Churn Analysis & EDA Dashboard
Module 02 / Database Querying

Advanced SQL & Big Data Systems

Learn to design, write queries for, and optimize relational and non-relational databases, and scale processing using Big Data frameworks.

  • Window functions, nested subqueries, and database indexing
  • Non-relational databases (NoSQL) and document stores
  • PySpark architectures for processing large datasets in parallel
  • ETL (Extract, Transform, Load) pipelines

Tools Mastered

PostgreSQL MongoDB Apache Spark
Module Project
SQL Cohort Analysis & ETL Pipeline
Module 03 / Mathematics

Applied Statistics & Mathematics

Develop mathematical intuition for machine learning models by studying probability distributions, linear algebra, and statistical hypothesis testing.

  • Descriptive and inferential statistics (mean, variance, standard error)
  • Hypothesis testing: A/B testing, Z/T-tests, and ANOVA
  • Dimensionality reduction principles: PCA and Singular Value Decomposition
  • Core probability theorems: Bayes theorem, binomial, and normal distributions

Tools Mastered

Probability Linear Algebra SciPy & NumPy
Module Project
Statistical A/B Testing Analysis
Module 04 / Prediction Systems

Machine Learning Algorithms & Modeling

Learn to design, train, evaluate, and fine-tune predictive models using classic supervised and unsupervised algorithms.

  • Supervised models: Linear & Logistic Regression, Decision Trees
  • Advanced ensembles: Random Forests, Gradient Boosting, and XGBoost
  • Unsupervised clustering (K-Means, DBSCAN) for demographic grouping
  • Model performance evaluations: ROC/AUC curves, Precision, Recall

Tools Mastered

Scikit-Learn XGBoost Model Tuning
Module Project
Predictive Housing Valuation Model
Module 05 / Artificial Intelligence

Deep Learning, NLP & Computer Vision

Dive into multi-layer neural networks, computer vision, natural language processing, and prompt engineering with large language models.

  • Artificial Neural Networks (ANN) & Convolutional Neural Networks (CNN)
  • Recurrent Neural Networks (RNN) and LSTM for sequence analysis
  • NLP embeddings, Transformer layers, and LLM fine-tuning
  • Model serving and APIs (FastAPI, Flask, Streamlit)

Tools Mastered

TensorFlow PyTorch HuggingFace
Module Project
Image Classifier & Sentiment Analysis API
Module 06 / Industry Portfolio

Data Science Capstone & Placement Prep

Synthesize all skills to build a production-grade machine learning model, containerize it, and host it as a portfolio project for recruiters.

  • Structuring a comprehensive GitHub data portfolio
  • Containerization basics with Docker
  • Optimization of resume & LinkedIn profiling for tech recruiters
  • Interview coding puzzles (Algorithms & model logic loops)

Target Outcomes

Complete Portfolio Docker App Cloud Hosted
Module Project
End-to-End Predictive App deployed on Cloud
Placement Success

Get Job in Your Dream Company

Our dedicated placement cell works tirelessly to connect you with top MNCs and tech startups across Delhi NCR. Here are some of the industry leaders where our alumni are placed.

Target Career Opportunities

Upon completing our modular training program, you qualify for several key roles in the industry

Role 01

Data Scientist

Develop predictive machine learning models, analyze structural patterns, and drive strategic AI initiatives.

Avg. Salary ₹6 - ₹12 LPA
Role 02

ML Engineer

Scale model structures, optimize neural network inference runs, and deploy models as production-grade APIs.

Avg. Salary ₹7 - ₹14 LPA
Role 03

Data Engineer

Orchestrate data ingestion pipelines, design data warehouse schemas, and manage Spark workflows.

Avg. Salary ₹6 - ₹11 LPA
Role 04

BI Developer

Create calculated DAX matrices inside Power BI, clean databases, and build interactive executive dashboards.

Avg. Salary ₹5 - ₹9 LPA
Insights & Trends

Academy Blog

Keep up with the fast-evolving landscape of business intelligence, database technologies, and AI analytics workflows.

Got Questions?

Frequently Asked Questions

A Data Science Course teaches you how to collect, analyze, visualize, and interpret data to make business decisions. You'll learn industry-demand tools such as Excel, SQL, Power BI, Tableau, and Python, helping you build a successful career as a Data Analyst. Data Science Course, Data Analyst Training, Data Science Certification
The fee for the Data Science Course at GradeUp Infotech Academy is typically ₹45,000 to ₹50,000. The fee includes training in Advanced Excel, SQL, Power BI, Python, Statistics, AI Tools Live Projects, and Placement Assistance.
GradeUp Infotech Academy is one of the leading institutes for Data Science Training in Ghaziabad, offering industry-focused learning with Advanced Excel, SQL, Power BI, Python, Statistics, Data Visualization, and AI Tools. Students receive hands-on training through live projects, real-world case studies, interview preparation, and placement assistance. With experienced trainers, practical learning, flexible batch timings, and a course fee ranging from ₹45,000 to ₹50,000, GradeUp Infotech Academy helps students build job-ready skills for careers as Data Analysts, Business Analysts, and Power BI Developers.
We offer both offline lab-based classes at our Ghaziabad campus and interactive online sessions. The offline mode gives you direct access to our specialized pen-tablet and computing databases labs with one-on-one counselor support.
You will build 15+ practical projects, including: an automated financial scraping pipeline in Python, database user retention matrices in SQL, executive dashboards in Power BI/Tableau, and churn risk models using Scikit-Learn.

Application Received!

Thank you, . Our admission panel has queued your profiling index. We will contact you at or within 12 hours.

SYS_STATUS: SUCCESS_QUEUE_OK
> Candidate level:
> Database insertion sequence logged.
> SMS notifications sent to mobile registry.

Speak with an Expert counselor

Fill out the inquiry form below and our professional counselor will coordinate an assessment call with you.

Processing admissions query...
+91