Software Development & Data Science Programming Course

Master software development and programming skills for data science and engineering with our expert-led training program.

Master Software Development & Data Programming

Unlock the power of software development and data science/engineering programming with our comprehensive training course designed for aspiring developers and data professionals.

This Course Includes

  • 12 Sessions
  • 40 Hours of Hands-on Coding
  • Real-World Software Projects
  • Online Coding Labs
  • Learn Python, JavaScript, and SQL
  • Practical Tasks, Lectures, and More
  • Access to Cloud Development Environments

Things You'll Learn

  • Core software development principles
  • Data manipulation and analysis with Python
  • Building scalable web applications
  • Database design and querying with SQL
  • Data engineering pipelines for production

Course Content

Introduction to Software Development
  • Overview of software engineering: history, roles, and tools.
  • Key concepts: SDLC, version control, and agile methodologies.
  • Introduction to Python and JavaScript programming.
  • Setting up your dev environment: VS Code, Git, and libraries.
  • Hands-on: Writing your first Python script.
  • Real-world examples: How Spotify builds software.
  • Understanding code structure: functions, classes, and modules.
  • Best practices: Writing clean, maintainable code.
  • Practical exercise: Building a simple CLI tool.
Programming for Data Science
  • Data science basics: Pandas, NumPy, and Matplotlib.
  • Data cleaning and preprocessing techniques.
  • Exploratory data analysis (EDA) with Python.
  • Hands-on: Analyzing a dataset with Pandas.
  • Visualization: Creating charts and dashboards.
  • Statistical foundations: Mean, median, and distributions.
  • Real-world scenario: Analyzing sales data.
  • Hands-on lab: Building an interactive data visualizer.
  • Working with large datasets: Optimization techniques.
Web Development Fundamentals
  • HTML, CSS, and JavaScript essentials.
  • Building responsive web interfaces with Bootstrap.
  • Client-side programming with JavaScript frameworks.
  • Hands-on: Creating a dynamic web page.
  • APIs: Fetching and displaying data from external sources.
  • Server-side basics: Intro to Node.js and Express.
  • Hands-on lab: Building a RESTful API.
  • Security: Handling user input and basic authentication.
  • Optimizing web apps: Lazy loading and caching.
Data Engineering Essentials
  • Database fundamentals: SQL vs. NoSQL.
  • Designing and querying relational databases.
  • Hands-on: Building a database with SQLite.
  • Data pipelines: ETL processes with Python.
  • Working with big data: Intro to Apache Spark.
  • Hands-on lab: Creating a data ingestion pipeline.
  • Cloud storage: AWS S3 and Google Cloud basics.
  • Real-world project: Automating a data workflow.
  • Deploying data solutions with Docker.
Software in Production
  • Testing: Unit, integration, and end-to-end tests.
  • Deploying applications with CI/CD pipelines.
  • Monitoring systems: Logging and error tracking.
  • Hands-on: Deploying a web app to Heroku.
  • Scaling applications: Load balancing and microservices.
  • Security: Protecting data and APIs.
  • Hands-on lab: Securing an app with HTTPS.
  • Case study: How Netflix scales its infrastructure.
  • Final project: End-to-end software solution development.

Why Choose This Course?

  • Expert-led sessions by industry developers
  • Hands-on projects with real-world applications
  • Flexible online learning with live support
  • Comprehensive coverage of programming tools
  • Prepares you for software and data careers
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