Research Methods - Psychology A-Level - AQA Paper 2
Comprehensive revision of research methods for AQA A-level Psychology Paper 2, covering experimental designs, data collection techniques, statistical analysis, and scientific principles.
Statistics with Julia from the Ground Up - JuliaCon 2021 Workshop
Learn statistical applications in Julia through hands-on examples, covering probability, data manipulation, plotting, and modeling. Ideal for R users transitioning to Julia for data science and machine learning.
Discrete and Continuous Mathematics - MIT Computational Thinking Spring 2021 - Lecture 14
Explore discrete and continuous mathematics, bridging concepts through indexing, function evaluation, area calculation, and random walks in computational thinking.
Random Walks II - Lecture 13
Explore random walks, Pascal's triangle, and probability distributions using Julia programming. Learn to implement time evolution of probabilities and understand cumulative sums in computational thinking.
Random Walks in Computational Thinking - Lecture 12
Explore random walks in computational thinking, covering visualization, Julia concepts, benchmarking, and advanced topics like mutable structs and type parameters.
Random Variables as Types - Lecture 11
Explore random variables as types in Julia programming, covering Gaussian distributions, sampling, abstract types, and generic programming for probability distributions.
Sampling and Random Variables in Julia - Lecture 9
Explore random sampling, probability distributions, and data visualization techniques using Julia, covering topics from basic coin tosses to complex probability densities and histogram normalization.
Principal Component Analysis - Lecture 8
Explore Principal Component Analysis: from matrix rank to SVD. Learn to measure data cloud size, understand correlated data, and navigate high-dimensional spaces using statistical techniques.
Macroscopic Models of Epidemic Dynamics - Week 6
Explore macroscopic epidemic models, transitioning from stochastic to deterministic approaches. Learn about SIR models, continuous-time dynamics, and differential equations in epidemiology.
Probability via Computation - Week 4
Explore probability concepts through computational methods, covering random sampling, Monte Carlo simulations, Bernoulli trials, and the Central Limit Theorem with practical examples and visualizations.
Understanding Structure in Data - Week 3
Explore data structure analysis using Julia, covering matrix rank, data visualization, PCA, and building a simple recommendation engine. Gain practical insights into advanced data science concepts.
Maximising the Accuracy of Hydraulic Models
Explore factors influencing hydraulic model accuracy, from input data to computational solvers. Learn to maximize model reliability and confidence, especially when calibration data is unavailable.
Celeste.jl - Petascale Computing in Julia
Explore Celeste.jl, a Julia-based project for petascale astronomical image analysis using Bayesian inference, showcasing Julia's power in high-performance computing and data science on supercomputers.
Advanced Excel Tutorial - Advanced Functions - VLOOKUP, IF, Forecasting, Statistical
Master advanced Excel functions like VLOOKUP, IF, and forecasting. Learn to manipulate dates, use financial formulas, and apply statistical analysis for data-driven decision making.
Complete Statistics for Data Science
Comprehensive statistics guide covering descriptive and inferential techniques, probability, hypothesis testing, and data analysis using Python. Ideal for aspiring data scientists and analysts.
Complete Machine Learning in 6 Hours - Krish Naik
Comprehensive machine learning tutorial covering key algorithms, techniques, and practical implementations for regression, classification, clustering, and ensemble methods.
Effective Data Storytelling as a Data Scientist in Industry
Learn effective data storytelling techniques for industry presentations. Avoid common mistakes, improve communication of ML models, and craft compelling data stories to enhance stakeholder relationships.
Trend Analysis Using Unstructured Data from WallStreetBets
Explore trend analysis using WallStreetBets data from Reddit. Learn data acquisition, parsing, and unsupervised methods for topic modeling, timelines, and prediction in this insightful webinar.
Machine Learning Full Course for Beginners
Comprehensive introduction to machine learning, covering key concepts, algorithms, and practical applications using Python libraries. Ideal for beginners seeking a solid foundation in ML.
Excel Array Formulas & Functions - 50 Examples of How to Become an Array Expert
Master Excel array formulas with 50 practical examples, covering fundamental concepts, advanced functions, and real-world applications for data analysis and reporting.
Learn Python and Data Science in Just an Hour
Comprehensive introduction to Python and data science, covering data manipulation, visualization, and statistical analysis using real-world examples in just over an hour.