Data Science

Data Science learning path involves mastering core technologies such as Python programming, statistics, and foundational machine learning concepts. Then, you progress to exploring data processing and visualization tools like Pandas, NumPy, and Matplotlib. Next, you can delve into machine learning frameworks and libraries like Scikit-learn and TensorFlow, as well as knowledge in deep learning. Understanding data engineering aspects is also crucial, including skills in data cleaning, transformation, and storage technologies such as SQL and NoSQL databases. Continuous learning and hands-on practice through solving real-world problems and engaging in projects are essential for skill advancement.

231 Skills|6 Courses|87 Projects

Quick Start with Python

Beginner

LinuxPython

This course is designed for beginners who want to start their journey with Python. You will learn the basics of Python, including data types, variables, operators, and how to use them in real-world scenarios. You will also learn how to use the IPython shell and Jupyter Notebook to write and execute Python code.

10 Labs

Your First Python LabStart

Data Types and ConversionStart

Print Hello PythonStart

Python Code CommentsStart

Python Math and Augmented AssignmentStart

Convert Hours to SecondsStart

Conditional Statements in PythonStart

Python Data Structures FundamentalsStart

Variable Type ConversionStart

Exploring IPython's Interactive Computing FeaturesStart

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