Data Protection Courses

CodeEmporium

How to Run A-B Tests as a Data Scientist

Explore Bayesian A/B testing for data scientists, comparing it with frequentist methods using real data and code. Learn to define experiments, process data, and interpret results effectively.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

CodeEmporium

Preprocessing Data for Machine Learning - Deep Dive

Comprehensive guide to preprocessing data for logistic regression, covering standardization, encoding, data imbalance, correlation, multicollinearity, and missing data handling techniques.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

Venelin Valkov

Data Visualization Tutorial for Beginners with Matplotlib in Python - Exploratory Data Analysis

Explore fundamental data visualization techniques using Matplotlib and Seaborn in Python. Learn to create histograms, box plots, violin plots, bar charts, line charts, scatter plots, and more for effective exploratory data analysis.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Venelin Valkov

Pandas Tutorial for Beginners - Data Analysis for Machine Learning with Python

Learn essential Pandas operations for effective data analysis in Python, including handling missing values, manipulating columns, and basic plotting techniques.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

Nicholas Renotte

Build a TikTok Data Science App with Streamlit and Python - Data Science Project

Learn to build a real-time TikTok data analytics dashboard using Python, Streamlit, and Plotly. Covers data extraction, ETL pipeline creation, and interactive visualization techniques.

• YouTube
• 2 hours 17 minutes
• Self-Paced
• Free Video

Nicholas Renotte

Build a Deep Facial Recognition App - Collecting Data - Deep Learning Project Tutorial

Learn to build a deep facial recognition app by collecting and processing data, using OpenCV for webcam access, and preparing images for model training.

• YouTube
• 44 minutes
• Self-Paced
• Free Video

Nicholas Renotte

Python for Data Science - Beginner Friendly Full Course

Comprehensive Python tutorial covering fundamentals, data structures, control flow, functions, OOP, modules, file handling, and math operations, with practical data science applications and projects.

• YouTube
• 5 hours 45 minutes
• Self-Paced
• Free Video

Nicholas Renotte

Python for Data Science - Conditions and Loops

Learn Python conditions and loops for data science, covering if-else statements, logical operators, loop types, and iterating through lists and dictionaries with practical applications.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Nicholas Renotte

Python for Data Science - Variables, Lists, and Dictionaries

Learn essential Python concepts for data science: variables, data types, lists, and dictionaries. Gain practical skills through hands-on examples and clear explanations.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

Nicholas Renotte

Python for Data Science - Getting Started

Learn Python for data science: set up Jupyter Notebooks, understand its basics, write your first code, and explore Python in various environments. Perfect for beginners starting their data science journey.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

Yannic Kilcher

EfficientZero - Mastering Atari Games with Limited Data

Explore EfficientZero, a groundbreaking reinforcement learning algorithm achieving human-level performance on Atari games with minimal data, outperforming previous methods in sample efficiency and performance.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Yannic Kilcher

Radioactive Data - Tracing Through Training

Explore a novel technique for detecting dataset usage in model training through imperceptible "radioactive" data markers, offering robust identification even with minimal data exposure.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

Yannic Kilcher

SynFlow - Pruning Neural Networks Without Any Data by Iteratively Conserving Synaptic Flow

Explores SynFlow, a novel data-agnostic algorithm for pruning neural networks at initialization, avoiding layer collapse and achieving maximum compression capacity without training or data.

• YouTube
• 45 minutes
• Self-Paced
• Free Video

ChariotSolutions

Bridging Gaps Between Geospatial Data, Cloud Computing, and Local Disaster Organizations

Explore geospatial data integration for disaster response, covering UI challenges, rapid data delivery, and field-ready solutions using AWS, edge computing, and various data sources.

• YouTube
• 50 minutes
• Self-Paced
• Free Video

ChariotSolutions

Understanding Parkinson's Disease Through Data Science

Explore data science applications in understanding Parkinson's disease, including building a global data ecosystem and driving scientific discovery for neurodegenerative diseases.

• YouTube
• 50 minutes
• Self-Paced
• Free Video