Forensic Science Courses

Machine Learning & Data Science A-Z: Hands-on Python 2024

1247 ratings at Udemy

Learn NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, Scipy and develop Machine Learning Models in Python

• Udemy
• 14 hours 28 minutes
• Self-Paced
• Paid Course

Kurzgesagt – In a Nutshell

Science and Other Stuff Explained by Kurzgesagt – In a Nutshell

1 rating

Science and other stuff videos *kind of* in an order that makes sense.

• YouTube
• 3 hours 30 minutes
• Self-Paced
• Free Video

Curso Python Data Science En Español

1 rating

Aprende Python para ciencia de datos desde cero: instalación, Jupyter Notebook, estructuras de datos, numpy, pandas y visualización con Matplotlib. Sin conocimientos previos requeridos.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

Statistics - A Full University Course on Data Science Basics

1 rating

Comprehensive introduction to statistics for data science, covering methods for data collection, analysis, and interpretation. Emphasizes practical applications with real-life examples to develop analytical skills.

• freeCodeCamp
• 8 hours
• Self-Paced
• Free Video

Intro to Data Science - Crash Course for Beginners

1 rating

Comprehensive introduction to data science fundamentals, covering statistics, data visualization, and programming essentials for beginners. Ideal for those seeking a solid foundation in key concepts and practical applications.

• freeCodeCamp
• 1-2 hours
• Self-Paced
• Free Video

Data Structures - Intro to Computer Science - Harvard's CS50 (2018)

1 rating

Explore fundamental data structures in C programming, including linked lists, hash tables, trees, and tries. Learn implementation techniques and practical applications in computer science.

• freeCodeCamp
• 2-3 hours
• Self-Paced
• Free Video

Arrays and Sorting Algorithms - Intro to Computer Science - Harvard's CS50 (2018)

1 rating

Explore arrays, strings, and sorting algorithms in C programming. Learn debugging techniques, memory concepts, and computational complexity while building practical coding skills in this comprehensive computer science lecture.

• freeCodeCamp
• 2-3 hours
• Self-Paced
• Free Video

Computational Thinking & Scratch - Intro to Computer Science - Harvard's CS50 (2018)

1 rating

Explore computational thinking and Scratch programming in Harvard's CS50 intro. Learn binary, ASCII, RGB, algorithms, and create interactive projects using Scratch's graphical interface.

• freeCodeCamp
• 1-2 hours
• Self-Paced
• Free Video

Great Learning

Mathematics for Data Science - Essential Math for Machine Learning

1 rating

Explore essential math for data science, including probability, statistics, machine learning, and deep learning. Learn through real-world case studies and gain insights into the crucial role of mathematics in data analysis.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Statistics for Data Science

1 rating

Comprehensive exploration of statistical concepts for data science, covering descriptive and inferential statistics, probability distributions, hypothesis testing, and various analytical methods through practical examples.

• YouTube
• 10 hours
• Self-Paced
• Free Video

Serious Science

Earth Science

1 rating

Explore Earth's systems, climate change, and human impacts through expert lectures on topics like carbon cycles, freshwater ecosystems, climate modeling, and glaciology.

• YouTube
• 4 hours 30 minutes
• Self-Paced
• Free Video

Serious Science

Computer Science

1 rating

Explore key computer science topics with expert lectures on neural networks, cloud computing, cybersecurity, deep learning, and internet structure from renowned researchers.

• YouTube
• 3 hours 30 minutes
• Self-Paced
• Free Video

Forensic Psychology - Psychology A-Level

1 rating

Comprehensive overview of forensic psychology topics for AQA A-level, covering offender profiling, biological and cognitive explanations, theories, and approaches to dealing with criminal behavior.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

Great Learning

Essential Statistics for Data Science - Learn Statistics for Data Science

1 rating

Comprehensive overview of essential statistics for data science, covering central tendency, hypothesis testing, ANOVA, and more. Ideal for aspiring data scientists seeking foundational knowledge.

• YouTube
• 5 hours 26 minutes
• Self-Paced
• Free Video

Reproducible Data Science with Machine Learning

1 rating

Discover techniques for reproducible data science using machine learning, focusing on workflow organization, notebook environments, and Azure ML Compute Instances for transparent and explainable AI development.

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