Python, SQL & Web App Deployment for Data Science
Whether you’re just starting your journey into data science or eager to build and deploy real-world data applications, this course equips you with the core programming, database querying, and app deployment skills needed in today's tech market. Learn how to manipulate data with Python, write complex SQL queries, and turn your analytical scripts into live, interactive web apps using free, open-source tools.
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What you’ll learn
- Python for Data Analysis: Master core Python syntax, functions, and powerful data libraries like Pandas & NumPy to clean, transform, and analyze real datasets.
- SQL Data Extraction: Write relational database queries using PostgreSQL & MySQL—filtering, joining tables, and calculating aggregations for analytics tasks.
- Interactive App Deployment: Turn data scripts and Machine Learning models into live web applications using Streamlit and host them online for free.
- Portfolio & Version Control: Use Git & GitHub to manage your code and build a public portfolio to stand out in technical interviews.
- Exploratory Data Analysis (EDA): Create insightful data visualisations with Matplotlib and Seaborn to communicate patterns clearly.
This course includes
Course Overview
24 Lectures · 36 hrs total length
- Python Core & Data Manipulation (Pandas & NumPy)
- Relational Databases & SQL (Queries, Joins, & Aggregations)
- Data Visualization & Exploratory Data Analysis (EDA)
- Building Data Applications with Streamlit
- Version Control (Git/GitHub) & Free Cloud Deployment
Requirements
- Prerequisites: None. This course is designed for complete beginners & career-switchers.
- Learning Materials: Comprehensive lessons are included; no external textbooks or paid software are required—all software used is 100% free and open-source.
- Commitment to Practice: A passion for learning and the dedication to turn theory into practice.
Who should take this course
- Aspiring Data Scientists who want hands-on coding experience with industry-standard tools.
- Beginners & Career Switchers seeking a practical, low-cost entry point into Python and SQL programming.
- Future Data & Business Analysts looking to automate data workflows and master relational databases.
- College Students needing real, deployed web app projects to showcase on their resumes and GitHub profiles.
- Non-Tech Professionals aiming to transition into technical analytics roles without prior coding knowledge.
- Anyone seeking core technical skills to strengthen their career in data engineering, data science, or software analytics.