A Gentle Introduction to Data Science

Overview

Join us for "A Gentle Introduction to Data Science," where you will explore the essential elements of data science. This course takes you through the evolution and impact of AI, alongside hands-on machine learning practices using Python.

Perfect for aspiring data scientists, the course covers:

• Key data science concepts
• Problem-solving applications
• Vital Python tools and libraries

Enhance your understanding and skillset in the burgeoning field of data science with insights provided by a top university and available on YouTube.

Don't miss this opportunity to build a solid foundation in one of today's most dynamic and valuable disciplines.

Syllabus

• Introduction to Data Science
Overview of Data Science and its impact
AI's role within Data Science
Real-world applications of Data Science
• Data Science Methodology
Understanding the data science process
Problem formulation and hypothesis generation
Data-driven decision making
• Data Collection and Cleaning
Types of data: structured and unstructured
Data collection techniques
Data cleaning and preprocessing
• Exploratory Data Analysis (EDA)
Descriptive statistics
Data visualization techniques
Identifying patterns and insights
• Introduction to Python for Data Science
Python basics and setup
Jupyter notebooks
• Essential Python Libraries
NumPy for numerical data
Pandas for data manipulation
Matplotlib and Seaborn for data visualization
• Introduction to Machine Learning
Supervised vs. Unsupervised learning
Model selection and evaluation
Overfitting and underfitting
• Practical Machine Learning in Python
Scikit-learn basics
Building simple linear regression models
Classification with decision trees and logistic regression
• Data Science Ethics
Importance of ethics in data science
Data privacy and security
Bias and fairness in AI
• Capstone Project
Define a data-driven problem
Apply the complete data science process
Present findings and insights

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Subjects

Conference Talks