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Build the skills to go from writing code to solving real-world problems with data.
Programming Fundamentals
Programming is the process of writing instructions that tell a computer how to perform a task. These instructions, written in a programming language like Python, allow computers to solve problems and process information. Programming is used to build software, automate repetitive tasks, and analyze data in many fields.
What Are Tech Kit Modules?
Tech Kits are part of the walk-in service provided by Innovate Labs. If you have no prior experience, start with Beginner. If you have some experience, explore Intermediate kits, and move on to Advanced when you’re ready.
Beginner
Introducing Python Programming with JupyterLab
Length: 30 MinutesDescription: This tech kit introduces the core ideas behind computer programming using Python in a JupyterLab environment. Participants learn how code works by building simple programs that demonstrate variables, data types, lists, conditional logic, and loops. By writing and running their own Python code, students gain hands-on experience with the structure of programming languages and how computers interpret instructions. This kit is designed for complete beginners and provides the foundational skills needed to begin exploring coding, data analysis, automation, and other computational tools used across many disciplines.
Intermediate
Developing Python Fundamentals
Length: 45 MinutesDescription: This tech kit expands on beginner Python skills by introducing more structured programming concepts such as dictionaries, object-oriented design, and data organization. Participants explore how Python stores and retrieves information using key-value pairs and apply these concepts by building a functional contact book program. Through this project, students learn how to design classes, store structured data, and implement methods that manage and retrieve information. The activity emphasizes real-world programming practices used in software development and data management systems.
Computational Analysis
Computational analysis uses computer-based algorithms, modeling, and simulations to process large, complex datasets and uncover hidden patterns. It combines tools from computer science, mathematics, and statistics to replace or enhance traditional manual research methods. This approach enables efficient, scalable problem-solving across various fields, including sciences, social sciences, and humanities. MATLAB is a high-level programming language and environment widely used for data visualization and analysis. It offers powerful built-in functions for creating plots, charts, and graphical representations of data.With its advanced visualization tools, MATLAB helps users explore patterns, detect trends, and present insights effectively.
What Are Tech Kit Modules?
Tech Kits are part of the walk-in service provided by Innovate Labs. If you have no prior experience, start with Beginner. If you have some experience, explore Intermediate kits, and move on to Advanced when you’re ready.
Beginner
Present MATLAB Experiments
Length: 30 MinutesDescription: This tech kit introduces computational analysis using MATLAB, where students learn basic programming, data structures, and plotting. Participants create and visualize data through graphs like sine and cosine waves, building foundational skills in data analysis and scientific computing.
Intermediate
Exploring Data Visualization with MATLAB
Length: 45 MinutesDescription: Students will explore data visualization through MATLAB. They'll use if-else/loops/functions, load/analyze data, spot outliers with box plots, and check correlations between variables like income and house prices.
Advanced Project
More Information Coming Soon
What Are Advanced Tech Kit Modules?
The Advanced level combines concepts from both Beginner and Intermediate Tech Kits into a more integrated, hands-on experience. Participants will apply foundational skills alongside more complex tools and workflows to complete a comprehensive project. This level is designed for those who are comfortable with the basics and ready to connect multiple concepts to build more advanced, real-world solutions.
Advanced
Design a Research System with Python
Length: 60 Minutes Description: Students design integrated analysis systems by combining data processing, visualization, and reporting into automated pipelines.Click Here for Advanced Tech Kit →
Resources
Python 3.5
Type: Programming Language
Description: Python is an interpreted high-level programming language for general-purpose programming. Version 3.5 is a part of the many new versions that continuously are being put out.
Google Colab
Type: Development Environment
Description: Google Colab is a code development environment that runs in the browser using Google Cloud and utilizes cloud computing.
MatLab
Type: Program
Description: MATLAB is a programming language and platform for doing numerical computations.