Data Science

Data Science is at the forefront of technological innovation. This Skill Tree provides a comprehensive, beginner-friendly journey into the world of data analysis and interpretation. Following a well-structured roadmap, you'll learn essential concepts and tools through hands-on, non-video courses. Practical exercises in the interactive playground will solidify your skills in statistical analysis, machine learning, and data visualization.

212 Skills|6 Courses|91 Projects

Quick Start with Python

Beginner

LinuxPython

Master Python fundamentals in this hands-on course designed for beginners. Learn essential concepts like data types, control structures, functions, modules, and data structures through interactive labs and practical challenges. Perfect for those starting their Python programming journey.

10 Labs

Your First Python Lab

Space Academy Communication

Python Data Types and Operators

Create an Astronaut Name Tag Processor

Python Control Structures

Create a Rocket Launch Countdown

Python Functions and Modules

Space Mission Calculator

Python Data Structures

Space Mission Management System

Quick Start with MySQL

Beginner

LinuxMySQLSQL

In this course, you will learn what Structured Query Language (SQL) and databases are, the basics of database management, how to set up and configure MySQL, and how to get MySQL client to connect to a MySQL Server.

Lab

Quick Start with NumPy

Beginner

NumPyPython

This course will teach you the fundamentals of NumPy, a library that supports many mathematical operations.

Lab

Quick Start with Pandas

Beginner

PandasPython

This course is designed for beginners who want to start analyzing data with Pandas. It covers the basics of Pandas, including data structures, data manipulation, and data visualization.

Lab

Quick Start with Matplotlib

Beginner

MatplotlibPython

This course is a quick tutorial on Matplotlib, a Python library for drawing 2D and 3D graphics. It is designed to get you started with Matplotlib quickly.

Lab

Quick Start with scikit-learn

Beginner

scikit-learnMachine Learning

In this course, We will learn how to use scikit-learn to build predictive models from data. We will explore the basic concepts of machine learning and see how to use scikit-learn to solve supervised and unsupervised learning problems. We will also learn how to evaluate models, tune parameters, and avoid common pitfalls. We will work through examples of machine learning problems using real-world datasets.

Lab