Data Science
Data Science by EduNayan is a comprehensive AI, Data & Advanced Technologies program designed to take you from foundational concepts to advanced practical implementation. Through hands-on projects, real-world case studies, and structured guidance, you will master the key tools and methodologies required to succeed in this industry.
Certificate Included
Industry recognized completion certificate
Intermediate
Structured learning path with guided delivery
Online
Flexible learning modes for working learners
3 Capstone Projects
Portfolio-ready hands-on builds
Expert Mentors
Instruction from working professionals
Placement Support
Career help for interviews and roles
About the Course
Data Science by EduNayan is a comprehensive AI, Data & Advanced Technologies program designed to take you from foundational concepts to advanced practical implementation. Through hands-on projects, real-world case studies, and structured guidance, you will master the key tools and methodologies required to succeed in this industry.
Course Curriculum
Module 1: Python Basics & Jupyter Notebooks4 topics
- Jupyter notebook setups
- Python basic types, lists, and dicts
- Writing loops and custom functions
- Importing mathematical modules
Module 2: Data Wrangling with Pandas & NumPy4 topics
- NumPy arrays and vector calculations
- Pandas Series and DataFrames
- Filtering, grouping, and aggregating data
- Handling missing data and data cleaning
Module 3: SQL for Data Science4 topics
- SELECT statements, WHERE filters
- Joins, aggregations, and subqueries
- Connecting Python scripts to databases
- Extracting reports from SQL
Module 4: Exploratory Data Analysis & Viz4 topics
- Matplotlib plots & customized charts
- Seaborn statistical visual representations
- Identifying correlations & patterns
- Descriptive statistics summaries
Module 5: Supervised Machine Learning4 topics
- Scikit-Learn datasets and train-test splits
- Linear & Logistic Regression models
- Decision Trees and random forests
- Model metrics: RMSE, Confusion matrix
Module 6: Unsupervised Learning & Streamlit4 topics
- K-Means clustering concepts
- Dimensionality reduction (PCA)
- Building interactive Streamlit applications
- Deploying reports online
Hands-On Projects
Build 4 production-grade projects for your portfolio
Exploratory Data Analysis on Housing Datasets
Implement a practical project around Exploratory Data Analysis on Housing Datasets in Data Science using Python and SQL to build portfolio-ready solutions.
House Price Prediction Model
Implement a practical project around House Price Prediction Model in Data Science using Python and SQL to build portfolio-ready solutions.
Customer Segmentation using Clustering
Implement a practical project around Customer Segmentation using Clustering in Data Science using Python and SQL to build portfolio-ready solutions.
Your Certificate
Earn an industry-recognized certificate upon completion
Official certificate for Data Science
A shareable completion certificate is issued when you finish the course requirements successfully. Use it on LinkedIn, portfolios, and job applications.
Student Reviews
“The Data Science course at EduNayan was a turning point for me. The practical curriculum and mock interview support gave me the tools to build actual solutions.”
“Hands-on labs and direct mentorship in the Data Science program were incredibly helpful. It is fully aligned with modern industry trends.”
Frequently Asked Questions
Quick answers about the course
What will I learn in the Data Science course?
In this program, you will gain hands-on expertise in Data Science, covering core theoretical foundations, tool setups, practical exercises, and portfolio-grade capstone projects.
Do I need prior experience to enroll?
No, this course is structured to guide you from basic concepts up to advanced implementations. Having a fundamental understanding of logical thinking is helpful.
Will I receive a certificate?
Yes, on successfully completing the course requirements and capstone projects, you will receive an industry-recognized completion certificate from EduNayan.
What kind of support is available during the course?
You will have access to expert mentors for doubt clearing, step-by-step lab guidance, and dedicated support channels for troubleshooting project errors.