Mathew K AnalyticsLearn SciPy with free notebooks
52 free video lessons that use SciPy, each with a downloadable Jupyter notebook and, where needed, the dataset. Learn SciPy by working through real examples.
31 minLesson 19
Python Data Analytics #19: Value-at-Risk & Drawdown Analysis in Python
28 minLesson 22
Python Data Analytics #22: Sentiment Analysis on Real Text Data in Python
29 minLesson 24
Python Data Analytics #24: Marketing Campaign A/B Test Analysis in Python
10 minLesson 23
Statistics Fundamentals Every Analyst Needs | Data Analytics #23
10 minLesson 24
Correlation, P-Values & Confidence Intervals | Data Analytics #24
13 minLesson 28
Retail Analytics Deep Dive Project | Data Analytics #28
12 minLesson 29
Business Operations Analytics Deep Dive | Data Analytics #29
15 minLesson 30
End-to-End Analytics Capstone Project | Data Analytics #30
16 minLesson 2
Discrete Distributions Explained: Binomial & Poisson | Statistics #2
18 minLesson 3
Continuous Distributions & the Normal Curve | Statistics #3
14 minLesson 4
The Central Limit Theorem, Finally Explained | Statistics #4
16 minLesson 6
Confidence Intervals Done Properly | Statistics #6
16 minLesson 7
Hypothesis Testing Fundamentals | Statistics #7
16 minLesson 8
A/B Testing & Experiment Design That Works | Statistics #8
12 minLesson 9
Non-Parametric Tests: When Assumptions Fail | Statistics #9
13 minLesson 10
Multiple Comparisons & P-Value Corrections | Statistics #10
13 minLesson 11
Simple Linear Regression Explained | Statistics #11
15 minLesson 13
Categorical Data Analysis & Chi-Square Tests | Statistics #13
15 minLesson 14
Bayesian Statistics Basics for Analysts | Statistics #14
15 minLesson 15
Statistics Capstone: A Full Real-World Analysis | Statistics #15
25 minLesson 1
Linear Regression from Scratch in Python | ML Algorithms #1
17 minLesson 5
Random Forests Explained with Python | ML Algorithms #5
15 minLesson 10
Hierarchical Clustering & Dendrograms | ML Algorithms #10
17 minLesson 2
Scikit-learn Tutorial #2: Preprocessing — Scalers
15 minLesson 9
Scikit-learn Tutorial #9: Hyperparameter Tuning
25 minLesson 32
Hypothesis Testing in Market Research: Essential Methods and Practical Python Analysis
22 minLesson 33
Comparing Groups Using t-Tests: A Practical Guide for Market Research Analytics in Python
25 minLesson 34
Chi-Square Tests for Analyzing Survey Relationships Using Python | Market Research Analytics
28 minLesson 35
Correlation and Key Driver Analysis in Market Research
21 minLesson 8
Numerical Analysis with NumPy for Engagement Data
24 minLesson 62
Viral Video Detection: A Social Media Case Study
12 minLesson 54
4 Hypothesis Testing in Python: Step-by-Step Guide for Data Science
25 minLesson 2
Setting Up Python Jupyter Notebooks for Probability and Statistics Analysis
24 minLesson 9
Master Bayes Theorem: Real-Life Examples & Step-by-Step Probability Explained
14 minLesson 11
Understanding Continuous Probability Distributions: Uniform, Normal, and Exponential Explained
12 minLesson 15
Hypothesis Testing Explained: Concepts, Errors, and How to Interpret P-Values in Python
11 minLesson 16
Understanding t-Tests, Chi-Square Tests, and ANOVA in Python for Statistical Analysis
17 minLesson 19
Understanding Monte Carlo Simulations in Python for Statistical Modeling and Analysis
29 minLesson 21
Practical Applications of Simulation Techniques in Statistical Analysis and Decision-Making
12 minLesson 25
Understanding Regression Diagnostics: Residuals and Key Assumptions Explained
24 minLesson 34
Understanding Bayesian Statistics: Foundations of Priors and Posteriors Explained
15 minLesson 35
Bayesian Estimation Explained: Using SciPy and PyMC for Practical Inference in Python
21 minLesson 36
Practical Applications of Bayesian Inference: Step-by-Step Examples and Analysis
19 minLesson 38
Hypothesis Testing Explained: Applying Statistical Methods to Real-World Data
12 minLesson 40
Comprehensive Time Series Forecasting Project: From Data Preparation to Deployment
34 minLesson 41
Comprehensive Statistical Analysis: Step-by-Step Capstone Project Case Study
19 minLesson 36
Understanding Statistical Outlier Detection: Methods and Practical Applications in Python
10 minLesson 9
Understanding Probability Distributions in Python with SciPy for Statistical Analysis
14 minLesson 26
Understanding Model Diagnostics and Residual Analysis for Time Series Forecasting in Python
26 minLesson 26
Safety Stock and Reorder Point Modeling
23 minLesson 50
Seasonal Patterns in Financial Markets: Understanding Recurring Trends
12 minLesson 23