Mathew K AnalyticsLearn Matplotlib with free notebooks
372 free video lessons that use Matplotlib, each with a downloadable Jupyter notebook and, where needed, the dataset. Learn Matplotlib by working through real examples.
28 minLesson 1
Python Data Analytics #01: Acquiring & Auditing a Real Retail Dataset (Pandas Tutorial)
28 minLesson 2
Python Data Analytics #02: Customer Segmentation with RFM Analysis in Python
29 minLesson 3
Python Data Analytics #03: Market Basket Analysis & Association Rules in Python
28 minLesson 4
Python Data Analytics #04: Cohort Analysis & Customer Retention in Python
29 minLesson 5
Python Data Analytics #05: Sales Forecasting for Retail Demand in Python
30 minLesson 6
Python Data Analytics #06: Price & Discount Impact Analysis in Python
29 minLesson 7
Python Data Analytics #07: Customer Lifetime Value (CLV) Modelling in Python
28 minLesson 8
Python Data Analytics #08: Product Category Performance & ABC Analysis in Python
29 minLesson 9
Python Data Analytics #09: Web Scraping Real Product Prices for Competitor Analysis
29 minLesson 10
Python Data Analytics #10: Retail Analytics Capstone — End-to-End Report in Python
27 minLesson 11
Python Data Analytics #11: Fetching & Cleaning Real Stock Price Data in Python
31 minLesson 12
Python Data Analytics #12: Portfolio Returns, Risk & the Efficient Frontier in Python
23 minLesson 13
Python Data Analytics #13: Technical Indicators on Real Price Series in Python
32 minLesson 14
Python Data Analytics #14: Volatility Analysis & Rolling Risk Metrics in Python
30 minLesson 15
Python Data Analytics #15: Correlation & Diversification Across Real Assets
31 minLesson 16
Python Data Analytics #16: Backtesting a Simple Trading Strategy in Python
30 minLesson 17
Python Data Analytics #17: Real Cryptocurrency Market Analysis in Python
27 minLesson 18
Python Data Analytics #18: Company Fundamentals from Real Financial Statements
31 minLesson 19
Python Data Analytics #19: Value-at-Risk & Drawdown Analysis in Python
29 minLesson 20
Python Data Analytics #20: Finance Capstone — Real Multi-Asset Portfolio Report
28 minLesson 22
Python Data Analytics #22: Sentiment Analysis on Real Text Data in Python
27 minLesson 23
Python Data Analytics #23: Real Customer Churn & Retention Analysis in Python
29 minLesson 24
Python Data Analytics #24: Marketing Campaign A/B Test Analysis in Python
28 minLesson 25
Python Data Analytics #25: Customer Funnel & Conversion Rate Analysis in Python
27 minLesson 26
Python Data Analytics #26: Analysing Real Hashtags & Topic Trends in Python
10 minLesson 13
Data Visualisation with Matplotlib | Data Analytics #13
12 minLesson 14
Beautiful Charts with Seaborn in Python | Data Analytics #14
10 minLesson 23
Statistics Fundamentals Every Analyst Needs | Data Analytics #23
12 minLesson 27
Storytelling with Data: Present Like a Pro | Data Analytics #27
15 minLesson 30
End-to-End Analytics Capstone Project | Data Analytics #30
18 minLesson 1
Analyse E-Commerce Orders with Python Pandas | Full Project Tutorial
18 minLesson 2
Track Fitness & Health Data with Python Pandas | Hands-On Project
19 minLesson 3
HR Analytics with Pandas: Turnover & Retention Metrics in Python
17 minLesson 4
Build a Personal Finance Budget Tracker in Python with Pandas
18 minLesson 5
Real Estate Data Analysis with Pandas: Clean, Explore, Visualise
16 minLesson 6
Restaurant Reviews & Ratings Analysis with Python Pandas
21 minLesson 7
Retail Sales Analysis with Pandas: Find Trends & KPIs in Python
19 minLesson 8
Sports Analytics with Python Pandas: Player & Team Stats
17 minLesson 9
Student Grades Analysis with Pandas: Stats, Trends & Outliers
17 minLesson 10
Weather Data Analysis with Python Pandas: Real Project Walkthrough
32 minLesson 6
End-to-End Data Analyst Capstone
46 minLesson 1
Data Visualization for Beginners, with Matplotlib
1 h 30 minLesson 1
Pandas for Absolute Beginners (with Real Data)
45 minLesson 2
Data Visualization for Beginners, with Seaborn
17 minLesson 1
Probability Foundations for Data Analysts | Statistics #1
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 7
Hypothesis Testing Fundamentals | Statistics #7
13 minLesson 11
Simple Linear Regression Explained | Statistics #11
13 minLesson 12
Multiple Regression & Model Diagnostics | Statistics #12
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
21 minLesson 2
Logistic Regression for Classification | ML Algorithms #2
20 minLesson 3
K-Nearest Neighbours (KNN) Explained | ML Algorithms #3
17 minLesson 4
Decision Trees: How They Really Work | ML Algorithms #4
17 minLesson 5
Random Forests Explained with Python | ML Algorithms #5
17 minLesson 6
Gradient Boosting Explained Step by Step | ML Algorithms #6
17 minLesson 7
Support Vector Machines Made Intuitive | ML Algorithms #7
16 minLesson 8
Naive Bayes Classifier Explained | ML Algorithms #8
19 minLesson 9
K-Means Clustering in Python | ML Algorithms #9
15 minLesson 10
Hierarchical Clustering & Dendrograms | ML Algorithms #10
15 minLesson 11
PCA & Dimensionality Reduction Explained | ML Algorithms #11
15 minLesson 12
Comparing Every ML Algorithm: Capstone Project | ML Algorithms #12
20 minLesson 2
Primary vs Secondary Market Research Data Explained for Analytics Training
22 minLesson 6
Python Basics for Market Research Analysis: Essential Training
21 minLesson 9
Introduction to Pandas for Market Research: Master Data Analysis with Python
19 minLesson 11
Mastering Survey & Market Research Dataset Structures in Python | Analytics Training
17 minLesson 12
Understanding Demographic Variables in Market Research Analytics with Python
21 minLesson 13
Likert Scale and Rating Question Analysis in Python for Market Research
20 minLesson 14
Handling Open-Ended Survey Responses in Python for Market Research
23 minLesson 15
Assessing Data Quality in Market Research
20 minLesson 16
How to Identify Missing and Invalid Survey Responses in Python | Market Research Analytics
26 minLesson 20
How to Prepare Clean, Analysis-Ready Datasets for Market Research Using Python
28 minLesson 23
Cross Tabulation and Segment Comparisons in Python for Market Research Analysis
25 minLesson 24
Visualizing Survey and Market Data Using Python for Market Research
23 minLesson 25
Interpreting Patterns and Market Trends in Python Market Research Analytics
20 minLesson 26
Introduction to Market Segmentation: Essential Concepts for Market Research Analytics in Python
21 minLesson 30
Customer Clustering Using K-Means
26 minLesson 31
Statistical Thinking for Market Insights: Training for Data-Driven Decision Making
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
25 minLesson 37
Measuring Customer Satisfaction with Market Research Data
20 minLesson 38
Net Promoter Score Analysis in Python for Market Research
27 minLesson 39
Master Brand Awareness & Perception Metrics Using Python for Market Research
24 minLesson 42
Master Word Frequency & Keyword Analysis for Market Research Using Python
19 minLesson 43
Basic Sentiment Analysis for Survey Feedback Using Python
26 minLesson 44
Identifying Common Themes in Customer Comments with Python Analytics
22 minLesson 45
Visualizing Text-Based Market Insights in Python for Market Research
21 minLesson 46
Introduction to Trend Analysis in Market Research
27 minLesson 47
Analyzing Market and Consumer Trends Over Time Using Python | Market Research Analytics
21 minLesson 48
Customer Cohort Analysis Training in Python for Market Research
24 minLesson 49
Retention and Churn Analysis Using Python for Market Research
27 minLesson 50
Introductory Market Trend Forecasting
24 minLesson 53
Data Storytelling for Stakeholders: Enhance Market Research Analytics Skills
27 minLesson 54
Best Practices for Market Research Visuals | Python Analytics Tutorial
24 minLesson 56
End-to-End Market Research Analytics Project
21 minLesson 57
Customer Segmentation Case Study Using Python for Market Research Analytics
24 minLesson 1
Introduction to Pandas: Essential Tools for Data Analysis in Python
24 minLesson 2
Installing Pandas and Setting Up Your Python Environment for Data Science Success
12 minLesson 3
Understanding Pandas Series and DataFrames: Essential Python Data Structures for Analysis
28 minLesson 6
Introduction to Pandas DataFrame: Essential Operations and Attributes Explained
19 minLesson 8
Exploring and Cleaning Real-World Datasets with Python Pandas: A Practical Guide
13 minLesson 10
Introduction to Data Analysis with the Titanic Dataset Using Pandas
24 minLesson 11
How to Identify and Handle Missing Data in Python Pandas for Accurate Data Analysis
19 minLesson 17
Effective Techniques for Handling Outliers and Validating Data in Pandas
12 minLesson 23
Mastering Pandas DataFrames: Applying Functions Across Rows & Columns for Data Analysis
14 minLesson 29
Master Grouping and Aggregation in Python for Effective Data Analysis
21 minLesson 30
Understanding Multi-Level Grouping and Custom Aggregations in Pandas for Data Analysis
15 minLesson 31
Master Pivot Tables & Cross-Tabulations in Python Pandas for Powerful Data Analysis
17 minLesson 32
Mastering Data Reshaping in Pandas with Melt, Stack, and Unstack Functions
12 minLesson 34
Mastering Dates and Times in Pandas for Effective Data Analysis
16 minLesson 35
Converting Strings to Datetime and Extracting Date Components Using Pandas in Python
15 minLesson 36
Mastering Time Series Analysis in Python: Resampling, Shifting, and Rolling Windows with Pandas
20 minLesson 38
Mastering Time-Based Grouping and Aggregations in Pandas for Effective Data Analysis
20 minLesson 41
Master Pandas Series: Advanced Slicing & Cross-Section Techniques for Data Analysis
17 minLesson 46
Quick and Effective Data Visualization with Pandas plot() in Python
25 minLesson 47
How to Use Pandas with Matplotlib and Seaborn for Effective Data Visualization
17 minLesson 48
How to Create Line, Bar, Histogram, and Box Plots Using Python and Pandas
15 minLesson 49
Understanding Data Correlation and Heatmap Visualization Using Python and Pandas
27 minLesson 51
Step-by-Step Guide to Exploratory Data Analysis (EDA) Using Python and Pandas
21 minLesson 52
Master Feature Engineering with Pandas for Powerful Data Preprocessing
21 minLesson 58
How to Create an Interactive KPI Dashboard Using Python and Pandas
21 minLesson 59
Volatility and Risk Analysis Training for Finance and Stock Market
36 minLesson 69
Comprehensive Pandas Tutorial in Python: Data Analysis from Beginner to Advanced
24 minLesson 8
Numerical Analysis with NumPy for Retail Data Training
27 minLesson 15
Assessing Retail Data Quality in Python for E-commerce Analytics | Step-by-Step Guide
20 minLesson 22
Analyzing Sales by Product and Category in Python for Retail E-commerce
27 minLesson 23
Customer Purchase Behavior Analysis Training with Python for Retail E-commerce Analytics
24 minLesson 24
Visualizing Retail Sales Data with Python for E-commerce Analytics
21 minLesson 30
Customer Clustering Using K-Means in Python for Retail Analytics
23 minLesson 35
Product Bundle Insights and Cross-Selling Strategies with Python for Retail Analytics
27 minLesson 41
Introduction to Machine Learning in Retail: Practical Training for E-commerce Analytics
16 minLesson 44
Predicting Customer Churn in Retail Using Python Analytics
23 minLesson 45
Demand Prediction Using Machine Learning for Retail E-Commerce Analytics
25 minLesson 48
Seasonal Demand Forecasting Training with Python for Retail E-commerce Analytics
25 minLesson 50
Evaluating Forecast Accuracy: Techniques for Retail E-commerce Analytics in Python
23 minLesson 52
Designing Retail Analytics Dashboards with Python for E-commerce Insights
20 minLesson 55
Exporting Retail Analysis Reports Using Python for E-commerce Analytics
23 minLesson 56
End to End Retail Analytics Project Training with Python for E-commerce
18 minLesson 58
Retail Sales Forecasting Case Study Training with Python for E-commerce Analytics
25 minLesson 3
Types of Social Media Data: Views, Likes, CTR, and Watch Time
30 minLesson 5
Setting Up Python and Jupyter for Social Media Analytics
29 minLesson 6
Python Basics for Social Media Data Analysis
31 minLesson 10
Loading Social Media Data from CSV and APIs
26 minLesson 16
Identifying Missing and Inconsistent Social Media Data
23 minLesson 18
Handling Duplicate Content Records in Social Media Analytics
27 minLesson 22
Analyzing Views and Watch Time Distribution
25 minLesson 23
Engagement Rate Analysis: Likes, Comments, Shares
24 minLesson 24
Visualizing Content Performance
23 minLesson 25
Interpreting Content Trends and Patterns
29 minLesson 27
Analyzing Audience Behavior and Engagement Patterns
24 minLesson 30
Sentiment Analysis on Social Media Comments
31 minLesson 31
Identifying Top-Performing Content in Social Media Analytics
24 minLesson 34
Analyzing Content Categories and Niches
25 minLesson 36
Understanding Click-Through Rate (CTR) in Social Media and Content Analytics
27 minLesson 37
Thumbnail and Title Performance Analysis
29 minLesson 40
Designing Data-Driven Content Strategies
29 minLesson 41
Introduction to Social Media APIs
32 minLesson 45
Building Automated Content Analytics Systems
29 minLesson 47
Analyzing Growth in Views and Subscribers
31 minLesson 48
Detecting Viral Spikes and Trends in Social Media Data
30 minLesson 51
Introduction to Machine Learning for Social Media
21 minLesson 54
Feature Importance for Engagement Prediction
32 minLesson 56
Turning Social Media Data into Insights
26 minLesson 57
Designing Content Analytics Dashboards
31 minLesson 58
Data Storytelling for Content Creators
29 minLesson 59
Best Practices for Visualizing Engagement Data
28 minLesson 61
End-to-End YouTube Analytics Project
24 minLesson 62
Viral Video Detection: A Social Media Case Study
15 minLesson 41
1 - Matplotlib- Line, Bar, Scatter, Histogram
12 minLesson 42
2 - Seaborn- Countplot, Boxplot, Heatmap
13 minLesson 43
Master Styling, Annotations & Saving Techniques for Python Data Visualization
1 minLesson 52
2 Probability and Normal Distribution in Python
11 minLesson 61
Understanding Decision Trees and Random Forests in Python for Classification
25 minLesson 2
Setting Up Python Jupyter Notebooks for Probability and Statistics Analysis
7 minLesson 3
Understanding Data Types: Categorical, Numerical, Continuous, and Discrete Explained
15 minLesson 5
Measures of Spread Explained: Variance, Standard Deviation & Interquartile Range
14 minLesson 6
Fundamentals of Data Visualization: Histograms, Boxplots, and Scatterplots Explained
11 minLesson 7
Foundations of Probability: Understanding Events, Outcomes, and Sample Space
11 minLesson 8
Understanding Conditional Probability and Independence in Probability Theory
24 minLesson 9
Master Bayes Theorem: Real-Life Examples & Step-by-Step Probability Explained
9 minLesson 10
Understanding Bernoulli, Binomial, and Poisson Discrete Probability Distributions
14 minLesson 11
Understanding Continuous Probability Distributions: Uniform, Normal, and Exponential Explained
13 minLesson 12
Understanding Statistical Sampling and the Law of Large Numbers in Biblical Context
14 minLesson 13
Understanding the Central Limit Theorem: Key Concepts and Practical Applications
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
16 minLesson 17
Understanding Bootstrapping for Estimation and Confidence Intervals in Statistics
12 minLesson 18
Understanding Permutation Tests: A Flexible Approach to Hypothesis Testing
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
13 minLesson 22
Understanding Covariance and Correlation: Pearson and Spearman Explained
12 minLesson 23
Simple Linear Regression in Python: Model Fitting & Interpretation Guide
11 minLesson 24
Understanding Multiple Linear Regression with Python’s Statsmodels Library
12 minLesson 25
Understanding Regression Diagnostics: Residuals and Key Assumptions Explained
10 minLesson 26
Practical Regression Project: Predicting Housing Prices with Python and Data Analysis
12 minLesson 28
Logistic Regression Explained: Master Coefficients & Odds Ratios Easily
14 minLesson 29
Master Accuracy, Precision & Recall for Evaluating Classification Models in Python
12 minLesson 30
Understanding ROC Curves and AUC for Evaluating Classification Models in Python
24 minLesson 33
Understanding Stationarity, ACF, PACF, and ARIMA Fundamentals in Time Series Analysis
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
16 minLesson 37
Understanding the Law of Large Numbers Through Dice Roll Simulations in Python
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
12 minLesson 3
How to Set Up Python and Jupyter Notebook for Data Visualization Beginners
11 minLesson 4
Understanding NumPy Arrays and Random Data Generation for Data Analysis in Python
14 minLesson 6
Master Data Cleaning and Preparation with Pandas in Python for Effective Bible Study Analysis
14 minLesson 8
Introduction to Matplotlib: Creating and Customizing Line and Bar Plots in Python
15 minLesson 9
How to Create and Customize Scatter Plots and Histograms in Matplotlib
12 minLesson 10
How to Customize Titles, Labels, and Legends in Matplotlib for Clearer Data Visualization
14 minLesson 11
Mastering Subplots and Multiple Axes in Matplotlib for Effective Data Visualization
15 minLesson 12
Enhancing Matplotlib Plots: Mastering Colors, Markers, and Line Styles in Python
15 minLesson 13
How to Save and Export High-Quality Matplotlib Plots for Publication and Presentation
10 minLesson 14
Introduction to Seaborn for Data Visualization with Built-in Python Datasets
11 minLesson 15
Understanding Distribution Plots in Python: Histogram, KDE, Violin, and Box Plots Explained
11 minLesson 16
Visualizing Categorical Data in Python with Seaborn: Bar, Count, and Swarm Plots
14 minLesson 17
Understanding Relationship Plots in Seaborn: Scatter, Regression, and Pairplot Explained
13 minLesson 18
Understanding Heatmaps and Correlation Matrices with Seaborn for Data Analysis
10 minLesson 19
Mastering Custom Themes and Aesthetics in Seaborn for Clear Data Visualization
14 minLesson 20
How to Use Annotations and Highlights to Enhance Data Visualization in Plots
12 minLesson 21
Master Customizing Axes in Python: Ticks, Scales & Logarithmic Transformations
12 minLesson 23
Best Practices for Data Storytelling Using Visuals in Bible Teaching | Week 07–08
10 minLesson 29
Introduction to GeoPandas: Working with Shapefiles and Geospatial Maps in Python
14 minLesson 31
3 - Interactive Maps with Folium
14 minLesson 32
Geospatial Analysis Case Study: Mapping and Visualizing Real-World Location Data
10 minLesson 37
Visualizing Network Graphs with NetworkX and PyVis in Python
14 minLesson 38
Time Series Visualization Techniques Using Matplotlib and Plotly in Python
11 minLesson 41
Master Visual Design Principles for Effective Communication in Python Data Visualization
10 minLesson 42
2 - Case Study Project - Sales and Marketing Dashboard
9 minLesson 43
Climate Data Analysis & Geospatial Visualization: Expert Case Study Techniques
13 minLesson 44
Build an Interactive Data Visualization App: Capstone Project Step-by-Step Guide
16 minLesson 3
Biblical Principles in Data Analysis: Scraping and Analyzing Product Prices with Python
19 minLesson 4
Building a News Data Scraping and Analysis Project Using Python
16 minLesson 5
Web Scraping and Visualization Techniques for Real Estate Data Analysis
14 minLesson 6
How to Extract YouTube Channel Video Data Using Python and YouTube Data API
21 minLesson 10
Comprehensive Airbnb Data Analysis Using Python for Biblical Stewardship Insights
18 minLesson 11
Comprehensive Analysis and Visualization of Global Covid-19 Data Using Python
22 minLesson 15
Analyzing and Predicting Iris Flower Species Using Data Science Techniques
23 minLesson 17
Building a Car Price Prediction Model Using Python and Data Science Techniques
20 minLesson 20
Analyzing Uber Trips Data: A Step-by-Step Guide to Data Science Techniques
18 minLesson 26
Predicting Wine Quality with Machine Learning: A Step-by-Step Guide Using Python
25 minLesson 27
Building Accurate Disease Prediction Models with Machine Learning: A Step-by-Step Guide
23 minLesson 29
Predicting Heart Disease with Logistic Regression: A Step-by-Step Python Guide
15 minLesson 30
Building a House Price Prediction Model with Python: Data Science and Machine Learning
17 minLesson 31
Applying Linear Regression to the Boston Housing Dataset: A Step-by-Step Guide
24 minLesson 33
Classifying Cancer Cells with Scikit-learn: A Step-by-Step Guide for Beginners
24 minLesson 35
Predicting Box Office Revenue with Linear Regression: A Step-by-Step Guide
27 minLesson 36
Online Payment Fraud Detection Using Machine Learning in Python | Data Science Project
24 minLesson 38
Building and Training Handwritten Digit Recognition Models with Scikit Learn
26 minLesson 40
Building a Credit Card Fraud Detection System with Machine Learning Techniques
20 minLesson 41
Building a Recommendation System in Python: A Step-by-Step Guide for Beginners
21 minLesson 44
Anomaly Detection in Time Series Data: Techniques and Practical Applications
23 minLesson 49
Deep Learning for Wine Type Classification: Step-by-Step Model Training Guide
22 minLesson 51
Building a Neural Network for Handwritten Digit Recognition: A Step-by-Step Guide
24 minLesson 53
Logistic Regression for Handwritten Digit Recognition Using PyTorch: Step-by-Step Tutorial
17 minLesson 56
How to Count Objects in Images Using Python and OpenCV: A Step-by-Step Guide
15 minLesson 68
Building an Interactive Retail Sales Dashboard with Plotly and Streamlit in Python
20 minLesson 69
Building a COVID-19 Data Tracker with API Integration and Time-Series Visualization in Python
13 minLesson 76
4 - Loan Default Prediction - Risk Modeling
19 minLesson 77
Predicting House Prices with Regression Using the Ames Housing Dataset
17 minLesson 79
Applying Binary Classification for Accurate Diabetes Prediction in Healthcare
15 minLesson 83
Detecting Fake News with NLP and Transformer Models: A Biblical Perspective
22 minLesson 1
Understanding Data Mining and the Knowledge Discovery in Databases (KDD) Process
26 minLesson 4
Introduction to Python, Pandas, and scikit-learn for Data Analysis and Machine Learning
13 minLesson 5
Fundamentals of Exploratory Data Analysis and Visualization for Biblical Data Insights
17 minLesson 6
Data Cleaning Fundamentals: Managing Missing Values, Noise, and Outliers in Datasets
22 minLesson 8
Understanding Principal Component Analysis (PCA) for Dimensionality Reduction in Data
13 minLesson 10
Essential Data Preprocessing Techniques Using Titanic and Iris Datasets in Python
25 minLesson 11
Foundations of Exploratory Data Mining in Descriptive Analytics
16 minLesson 12
Understanding Summarization and Descriptive Statistics in Data Mining
16 minLesson 13
Understanding Histograms, Scatterplots, and Heatmaps for Data Visualization
26 minLesson 16
Understanding Decision Trees: ID3, C4.5, and CART Algorithms for Classification
29 minLesson 17
Mastering Naive Bayes Classifier: Key Concepts and Real-World Data Analysis Applications
15 minLesson 19
Master Logistic Regression for Binary Classification: Step-by-Step Practical Guide
19 minLesson 21
Understanding ROC Curves, AUC, and Confusion Matrix for Classification Model Evaluation
23 minLesson 22
Customer Churn Prediction: Step-by-Step Python Tutorial Using Real Data
16 minLesson 24
Understanding the k-Means Clustering Algorithm: A Clear Step-by-Step Guide
21 minLesson 26
Understanding Density-Based Clustering with DBSCAN: Principles and Python Implementation
15 minLesson 27
Understanding 5 Key Cluster Evaluation Metrics for Effective Machine Learning Analysis
16 minLesson 28
Understanding Socio-Economic Segmentation Through Hands-On Clustering Techniques
22 minLesson 29
Predicting Diabetes Using Ensemble Machine Learning Models: A Step-by-Step Guide
23 minLesson 30
Understanding Bagging and Random Forests: Ensemble Methods in Machine Learning
17 minLesson 31
Understanding AdaBoost and XGBoost: Key Boosting Techniques in Machine Learning
23 minLesson 32
Support Vector Machines (SVM): Principles, Methods, and Practical Applications
19 minLesson 35
Foundations of Anomaly and Outlier Detection in Data Analysis Explained
19 minLesson 36
Understanding Statistical Outlier Detection: Methods and Practical Applications in Python
21 minLesson 44
Sentiment Analysis with Text Mining: A Practical Data Science Capstone Project
26 minLesson 45
Comprehensive Data Mining Capstone Project: Step-by-Step Case Study Walkthrough
11 minLesson 1
01 Introduction to Python in Jupyter Notebook
28 minLesson 3
Master Python Data Structures: Lists, Tuples, Sets & Dictionaries Explained Clearly
24 minLesson 5
Comprehensive Guide to Pandas Series and DataFrames for Data Analysis in Python
11 minLesson 6
How to Import and Export CSV, Excel, and JSON Files in Python for Data Management
10 minLesson 9
Understanding Probability Distributions in Python with SciPy for Statistical Analysis
14 minLesson 10
Understanding Correlation and Covariance in Python for Statistical Analysis
34 minLesson 12
Data Visualization with Matplotlib
12 minLesson 13
Mastering Resampling and Aggregation of Time Series Data with Pandas in Python
16 minLesson 14
Master Rolling Mean & Exponential Moving Average in Python for Time Series Analysis
16 minLesson 15
Foundations of Time Series Analysis: Understanding Trend and Seasonality in Data
19 minLesson 16
Understanding Trend, Seasonality, Cyclicity, and Noise in Time Series Analysis
12 minLesson 17
Resampling & Aggregation in Pandas: Master Time Series Data Analysis with Python
14 minLesson 18
Handling Missing Data in Time Series: Proven Techniques for Accurate Analysis
14 minLesson 19
Understanding Stationarity and the Augmented Dickey-Fuller Test in Time Series Analysis
13 minLesson 20
Understanding Autocorrelation and Partial Autocorrelation in Time Series Analysis
10 minLesson 21
Seasonal Decomposition in Python: Techniques for Time Series Analysis and Interpretation
15 minLesson 22
Understanding Autoregressive, Moving Average, and ARMA Models for Time Series Forecasting
17 minLesson 24
Seasonal ARIMA and SARIMAX in Python: A Guide to Time Series Forecasting
12 minLesson 25
Understanding Exponential Smoothing and Holt-Winters Forecasting Models in Python
14 minLesson 26
Understanding Model Diagnostics and Residual Analysis for Time Series Forecasting in Python
12 minLesson 27
Creating Lag and Rolling Features for Time Series Analysis in Python
12 minLesson 28
Encoding Seasonality in Time Series Data Using Fourier Terms for Accurate Modeling
11 minLesson 29
Supervised Learning for Time Series in Python: Data Preparation and Model Setup
14 minLesson 30
Linear Regression and Regularization Techniques for Accurate Forecasting in Machine Learning
14 minLesson 31
Using Random Forest and XGBoost for Accurate Time Series Forecasting
15 minLesson 32
Walk-Forward Validation in Python: A Clear Guide for Time Series Model Evaluation
16 minLesson 33
Understanding 7 Key Forecast Accuracy Metrics for Evaluating Models in Python
10 minLesson 36
Understanding Convolutional Neural Networks for Time Series Analysis in Christian Data Studies
11 minLesson 38
Sequence-to-Sequence Forecasting in Python: Deep Learning for Time Series Prediction
10 minLesson 42
Using Multilayer Perceptrons for Time Series Forecasting in Christian Analytics
23 minLesson 2
Numbers, Dates, and Quantities in Operations
22 minLesson 8
Daily and Monthly Demand Aggregations in Supply Chain Analytics
25 minLesson 9
Inventory Level Tracking with Pandas
23 minLesson 11
Handling Missing and Dirty Operations Data
24 minLesson 15
Mastering Core Supply Chain Views for Enhanced Operations Analytics
26 minLesson 20
Introduction to Demand Forecasting Data
24 minLesson 21
Time Series Decomposition Techniques for Accurate Demand Forecasting in Supply Chain
31 minLesson 22
Moving Average and Exponential Smoothing Models in Supply Chain Analytics
23 minLesson 23
ARIMA and SARIMA for Demand Forecasting in Supply Chains
26 minLesson 24
Forecast Accuracy Evaluation and Monitoring in Supply Chain Operations
28 minLesson 25
Understanding Inventory Dynamics in Supply Chain Analytics
26 minLesson 26
Safety Stock and Reorder Point Modeling
25 minLesson 27
ABC Inventory Classification in Supply Chain Analytics
31 minLesson 31
Lead Time Variability Analysis in Supply Chains
18 minLesson 36
Building Supply Chain Dashboards with Streamlit
22 minLesson 38
End-to-End Supply Chain Analytics Project
25 minLesson 29
Designing Effective Fraud Alert Thresholds for Banking Systems Using Python
20 minLesson 30
Fundamentals of Time Series Analysis for Banking Professionals Using Python
21 minLesson 31
Analyzing Transaction Trends and Seasonality in Finance Using Python
23 minLesson 32
Applying Moving Averages and Smoothing Techniques to Financial Time Series in Python
11 minLesson 8
1 Introduction to Machine Learning in Python
15 minLesson 14
Understanding Accuracy, Precision, Recall, F1 Score, and ROC Curve for Model Evaluation in Python
12 minLesson 29
Understanding Simple and Multiple Linear Regression in Python for Bible Study Applications
16 minLesson 46
Understanding Decision Trees and Random Forests in Python for Bible Teaching Applications
13 minLesson 68
Understanding Principal Component Analysis (PCA) in Python: A Comprehensive Tutorial
15 minLesson 69
Customer Segmentation Using PCA and KMeans Clustering in Python: A Step-by-Step Guide
11 minLesson 75
Understanding Gradient Boosting and Implementing XGBoost in Python for Predictive Modeling
17 minLesson 85
Classifying Fashion MNIST Images with TensorFlow and Keras in Python
24 minLesson 3
Types of Financial Data: OHLCV, Fundamentals, and Sentiment Explained
26 minLesson 4
Financial Analytics Workflow Using Python: Step-by-Step Training for Beginners
24 minLesson 8
Numerical Analysis with NumPy for Financial Data: Training and Applications
24 minLesson 12
Understanding OHLCV Data in Finance: Open, High, Low, Close, and Volume Explained
23 minLesson 46
Introduction to Time Series in Finance: Key Concepts and Applications
28 minLesson 49
Moving Averages and Smoothing Techniques in Stock Market Analysis
23 minLesson 50
Seasonal Patterns in Financial Markets: Understanding Recurring Trends
22 minLesson 57
Designing Financial Analytics Dashboards: Principles, Tools, and Best Practices
21 minLesson 3
Comprehensive Guide to Training Machine Learning Models with Scikit-Learn in Python
21 minLesson 7
Simple Linear Regression Model in Python with scikit-learn
11 minLesson 8
Polynomial Regression in Python: Complete Guide for Machine Learning Beginners
12 minLesson 16
Handling Missing Values and Data Imputation Techniques in Python for Machine Learning
15 minLesson 22
Understanding KMeans Clustering in Python: A Guide to Unsupervised Machine Learning
12 minLesson 23
Master DBSCAN & Hierarchical Clustering in Python for Unsupervised Learning
12 minLesson 26
Master Support Vector Machines (SVM) in Python for Advanced Machine Learning
9 minLesson 28
Understanding Gradient Boosting with LightGBM in Python for Advanced Machine Learning
24 minIntroduction to NetworkX in Python for Graph Analysis and Network Science
19 minIntroduction to OpenCV in Python: Essential Computer Vision Techniques Explained
20 minLesson 9