3 Months Program
Data Science
Launch your data science career with Volts’ 6-month intensive program. Learn Python, SQL, data analysis, and visualization through hands-on training and real-world projects. Build a strong foundation in the first 3 months, then apply your skills to solve real problems and create a professional portfolio—preparing you for entry-level data science roles.
12
Weeks program
100%
Hands-on learning
About Program
The Data Science program at Volts is a 6-month intensive program designed to help you kick-start a career in data science. This hands-on course will take you from zero to proficient in Python, data analysis, data wrangling, and visualization, using real-world datasets and practical projects.
The first 3 months are focused on foundational learning. Students will build strong skills in Python programming, SQL, Pandas, Numpy, and Matplotlib, and gain introductory experience in machine learning and web scraping.
The following 3 months are dedicated to real-world projects, allowing students to apply their knowledge to real datasets, develop end-to-end data solutions, and build a professional data science portfolio.
By the end of this course, students will be capable of solving business problems using data and will be ready for entry-level data science roles.
What You Will Learn
By the end of the program, learners will be able to:
- Python Programming for Data Science
- Data Structures, Loops, Functions, and OOP in Python
- Web Scraping and API Data Extraction
- Relational Databases & SQL for Data Querying
- Data Analysis with Pandas and Numpy
- Data Visualization with Matplotlib and Seaborn
- Time Series Analysis and Regular Expressions
- Introduction to Machine Learning Concepts
- End-to-End Data Project Execution
3 Month Curriculum Breakdown
Introduction to Python
Variables and Data Types
Looping Constructs
Data Structures
Functions and Methods
Object-Oriented Programming (OOP) - Part 1
Object-Oriented Programming (OOP) - Part 2
Web Scraping & Working with CSV
Databases and SQL
Introduction to Numpy
Data Analysis with Pandas
Data Visualization with Matplotlib & Seaborn
Final Project
Learners will build and present an end-to-end data science project integrating Python, SQL, data analysis, and visualization techniques. This will simulate a real-world scenario, applying skills in data cleaning, exploration, and basic machine learning to extract insights from raw data.