A project-based course on data science techniques and tools, with a focus on Python.
Objectives:
Analyze, visualize, and model data effectively.
Build predictive models using machine learning.
Data Science Overview
Data Cleaning and Preparation
Data Visualization Techniques
Intro to Machine Learning (scikit-learn)
Supervised vs. Unsupervised Learning
Deep Learning Basics
Final Project: Real-World Data Analysis
What skills will I gain from this course?
Data analysis and visualization skills, proficiency in Python libraries like Pandas and Matplotlib, basic machine learning and data modeling expertise.
Is this course suitable for beginners, or do I need prior knowledge?
The course is designed for both beginners and those looking to enhance their skills. No prior experience is required, as we start with the basics and gradually move to advanced topics
Will I receive a certificate after completing the course?
Yes, upon successful completion, you will receive a professional certificate to showcase your skills to potential employers or clients.
What tools or software do I need for this course?
You’ll need a computer with internet access, a text editor like Visual Studio Code, and a modern web browser. We will guide you through setting up everything required during the course.
