Python for Data Science

Learn Python programming with a focus on data analysis, visualization, and machine learning fundamentals.

Training by Live video

Requires prior Knowledge

Max of 5 Persons

Professional Certification

Overview

Dive into the world of data science using Python. This course covers essential libraries like pandas, numpy, matplotlib, and scikit-learn. Perfect for beginners who want to transition into data science or professionals looking to upskill.

Requirements

No prior programming experience required
Basic mathematics knowledge
Computer with Python installation capability

What Will You Study

Python Fundamentals

Variables, data types, and control structures

Functions and modules

Object-oriented programming basics

Error handling and debugging

Data Manipulation with Pandas

DataFrames and Series

Data cleaning and preprocessing

Merging and joining datasets

Grouping and aggregation

Data Visualization

Matplotlib fundamentals

Seaborn for statistical plots

Interactive visualizations with Plotly

Dashboard creation

Machine Learning Introduction

Supervised vs unsupervised learning

Linear regression and classification

Model evaluation and validation

Feature engineering basics

Course Features

Jupyter notebook templates

Real datasets from various industries

Weekly project assignments

Peer code review sessions

Final capstone project

Industry mentor access

Your Instructor

Nabil Chiheb

Founder of Remote Skills LTD & AI Solutions Developer

Nabil has over a decade of experience in software development, including AI and data science applications. As founder of Remote Skills LTD, he has built AI-powered tools like GitMatcher and DupeFinder, and has worked on projects spanning web, mobile, and AI solutions for various clients.

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