Data Science

Transform Data into Actionable Insights

Book a Free Demo

Course Overview

Master the art and science of extracting insights from complex data

Our comprehensive Data Science course equips you with the skills to collect, process, analyze, and interpret complex data sets. Learn to build predictive models, extract meaningful patterns, and communicate data-driven insights that solve real business problems.

This program covers the complete data science pipeline from data collection and cleaning to advanced modeling and visualization. Perfect for aspiring data scientists and analysts who want to master Python programming, statistical analysis, and machine learning fundamentals.

Who Can Join?

This course is designed for anyone looking to build a career in data science

STEM Graduates

Engineering, mathematics, statistics, or computer science graduates looking to specialize in data science.

Analysts & Researchers

Professionals who want to enhance their analytical capabilities with data science techniques.

IT Professionals

Software developers and IT professionals looking to transition into data-focused roles.

Career Switchers

Professionals from any field with analytical mindset ready to build data science skills.

Why Choose This Course?

Discover the advantages of learning data science with Knodics

End-to-End Learning

Master the complete data science pipeline from data collection to model deployment.

Hands-On Projects

Build a portfolio of real-world projects across multiple domains and industries.

Industry Experts

Learn from experienced data scientists with proven track records in the field.

Career Support

Comprehensive placement assistance to help you land your dream data science role.

Tools & Technologies

Master the essential data science tools and technologies

Python

Pandas

NumPy

Matplotlib

Scikit-learn

SQL

Seaborn

Statsmodels

Course Content

Comprehensive curriculum covering all essential data science skills

Module 1: Python Programming

Python fundamentals, data structures, functions, and object-oriented programming for data science.

Module 2: Data Manipulation

Data cleaning, transformation, and manipulation using Pandas and NumPy libraries.

Module 3: Exploratory Data Analysis

Statistical analysis, data visualization, and pattern discovery techniques.

Module 4: Statistical Modeling

Probability, hypothesis testing, regression analysis, and statistical inference.

Module 5: Machine Learning Basics

Supervised and unsupervised learning algorithms, model evaluation, and selection.

Module 6: Feature Engineering

Feature selection, extraction, transformation, and dimensionality reduction techniques.

Module 7: Model Deployment

Productionizing models, API development, and model monitoring strategies.

Module 8: Capstone Project

End-to-end data science project solving a real-world business problem.

Learning Roadmap

Your journey to becoming a data science professional

Week 1-2: Python & Data Fundamentals

Master Python programming and essential libraries for data manipulation.

Week 3-4: Data Analysis & Visualization

Learn exploratory data analysis techniques and create compelling visualizations.

Week 5-6: Statistical Modeling

Apply statistical methods and build predictive models with real datasets.

Week 7-8: Machine Learning

Implement various machine learning algorithms and evaluate model performance.

Week 9-10: Capstone & Career Prep

Complete your capstone project and prepare for data science interviews.

Meet Your Data Science Experts

Learn from industry professionals with extensive experience

FA

Fasih Ahmad

Data Scientist & Trainer

Expert in machine learning, statistical modeling, and Python programming with extensive training experience.

VY

Vishal Yadav

Senior Data Analyst

9+ years experience in data analysis, visualization, and business intelligence solutions.

PS

Priya Sharma

ML Engineer

Specialist in machine learning model development and deployment in production environments.

RK

Rajesh Kumar

Data Science Lead

15+ years in data science leadership roles across multiple industries and domains.

Sample Certificate

Industry-recognized certification in Data Science

KNODICS
Certificate of Completion

This is to certify that

[Your Name]

has successfully completed the

Data Science Program

with hands-on projects and practical assessments

Student Success Stories

Hear from our successful data science graduates

The hands-on approach and real-world projects helped me build a strong portfolio. I landed a data scientist role at a top company within a month of completing the course.

A
Ankit Sharma
Data Scientist at Accenture

Coming from a non-technical background, I was worried about learning data science. The step-by-step approach and mentor support made it accessible and enjoyable.

N
Neha Patel
Data Analyst at TCS

Frequently Asked Questions

Get answers to common questions about our Data Science course

Do I need programming experience?
No prior programming experience required. We start with Python basics and gradually build up to advanced concepts.
Is this course suitable for beginners?
Yes, the course is designed to take you from basics to advanced concepts with a structured learning path.
Will I work on real projects?
Yes, you'll work on multiple real-world projects across different domains to build a comprehensive portfolio.
What career opportunities are available?
Data Scientist, Data Analyst, Machine Learning Engineer, Business Intelligence Analyst, and Research Scientist roles.
Is placement assistance provided?
Yes, comprehensive placement support including resume building, interview preparation, and connections with our hiring partners.

Ready to Start Your Data Science Journey?

Join our comprehensive data science program and transform your career. Learn to extract valuable insights from data and solve complex business problems.

Book a Free Demo