Data Science

Course in NSP

From Data to Decision - Build Skills.

Build Projects. Build Your Future.

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Master the Industry's Most In-Demand Tools

Python

MySQL

Mongodb

Advanced Excel

Power BI

Tableau

DAX

VBA

Numpy

NLP

Scikit-learn

Predictive Learning

Statistic

Tensor Flow

Data Analytics

Deep Learning

ML

Pandas

The Best Data Science Institute in NSP — Here's Why

Industry Relevant Curriculum

Designed by Industry Experts

Hands on Projects & Case Studies

Build Real World Portfolio

Expert Mentorship

Learn from Working Professional

Flexible Batch Timing

Weekday / Weekend Options

Placement Support

Resume, Interview & Job Assistance

Resume & Interview Preparation

Be Job Ready from Day One

The Best Data Science Institute in NSP — Here's Why

Week 1–2 Python Fundamentals
Python Syntax & Variables
Data Types & Operators
Control Flow & Loops
Functions & Modules
Week 3–4 Data Analysis with Pandas & NumPy

NumPy Arrays & Operations
Pandas DataFrames
Data Cleaning & Transformation
Exploratory Data Analysis (EDA)

Week 5–6 SQL & Database Management

SQL Queries & Joins
Aggregate Functions
Subqueries & Views
Database Design Basics

Week 7–8 Data Visualization
Matplotlib & Seaborn
Power BI Dashboards
Tableau Reports
Storytelling with Data
Week 9–11 Machine Learning
Supervised & Unsupervised ML
Regression, Classification, Clustering
Scikit-Learn Pipelines
Model Evaluation & Tuning
Week 12–13 Deep Learning & AI
Neural Networks Basics
Natural Language Processing (NLP)
ChatGPT & Generative AI Tools
Computer Vision Intro
Week 14–16 Capstone Project & Placement Prep
Real Industry Project
GitHub Portfolio Building
Resume & LinkedIn Optimization
Mock Interviews & HR Prep

4.9/5 on Google Reviews

Real Students. Real Results. Real Salaries.

The practical training and real-world projects made Data Analytics easy to understand. Trainers were supportive, and the placement guidance really helped my career.

Abhishek Kokcha

This course made Python, Power BI, and Machine Learning simple to learn. The practical sessions and live projects boosted my confidence.

Alice Jindal

Industry-level projects and expert guidance helped me understand Data Science easily. The learning experience was practical and career-focused.

Aarshi Sharma

From Excel to AI tools, every module was explained clearly. The hands-on training and placement support were extremely valuable.

Sneha Pal

FREQUENTLY ASKED QUESTIONS

Yes, this data analytics course is designed for beginners as well as working professionals. No prior coding knowledge is required.

You will learn Python, MySQL, MongoDB, Advanced Excel, Power BI, Tableau, DAX, Machine Learning, Deep Learning, TensorFlow, NumPy, Pandas, and more.

Yes, you will work on real-world projects like dashboards, data visualization, customer segmentation, stock prediction, and AI models.

Yes, we provide placement assistance including resume building, mock interviews, aptitude preparation, and interview guidance.

You can apply for roles such as:

  • Data Analyst
  • Business Analyst
  • Data Scientist
  • Power BI Developer
  • Machine Learning Engineer
  • BI Analyst

Both online and offline classes are available.

Yes, you will receive an industry-recognized course completion certificate.

The course duration depends on the learning mode, but generally ranges from 4 to 8 months.

Yes, recorded sessions will be provided for revision and practice.

Yes, we conduct mock interviews, technical sessions, and career guidance sessions.

Yes, flexible batches are available for working professionals and students.

This course focuses on practical learning, real projects, industry tools, and placement-oriented training to make you job-ready.

PLACEMENT SUPPORT

We Don't Just Teach, We Help You Get Hired!

Real Students. Real Results. Real Salaries.

Book a free 1:1 career counselling session — our mentors will map your career path.