Python for Data Science

This Python workshop for Data Science and AI comprehensively introduces the key tools and techniques used in data analysis, machine learning, and artificial intelligence. Students will learn Python programming essentials, including data handling with libraries like Pandas and NumPy, and gain hands-on experience with data visualization using Matplotlib and Seaborn. The course also covers machine learning algorithms and model evaluation and introduces deep learning concepts and NLPs with frameworks like TensorFlow. By the end of the workshop, participants will have the skills to build and evaluate data-driven models, preparing them for real-world data science and AI applications.

Workshop Overview

Learning Outcomes

• Gain proficiency in Python syntax, data types, functions, and object-oriented programming.

• Learn to efficiently manipulate and preprocess datasets.

• Develop the ability to create insightful data visualizations.

• Understand and apply core machine learning algorithms.

• Explore the basics of deep learning, including neural networks and frameworks like TensorFlow.

• Learn how to evaluate machine learning models using appropriate metrics.

• Apply Python skills to real-world data science and AI problems.

Detailed Course Schedule

• Day 1:

  • Visualize and Describe

• Day 2:

  • Statistical Data Analysis

• Day 3:

  • Machine Learning: Supervised and Unsupervised

• Day 4:

  • Deep and Generative Deep Learning

• Day 5:

  • Natural Language Processing

To name a few:

• NumPy

• Pandas

• Matplotlib / Seaborn

• SciPy / Statmodels

• Scikit Learn

• Keras

• TensorFlow

• ChatGPT 4o prompt engineering

What will it be about?