Browse Lessons

R Tutorial : Matrix-Matrix Calculations

R Tutorial : Matrix-Vector Operations

R Tutorial : Linear Algebra for Data Science in R

R Tutorial : White noise

R Tutorial : Trends, seasonality and cyclicity

R Tutorial : Welcome to Forecasting Using R

R Tutorial : Further testing (Spatial Statistics in R)

R Tutorial : Simulation and testing with spatstat

R Tutorial : Problems in spatial statistics

Spreadsheets Tutorial : Build a cash flow model

Spreadsheets Tutorial : Continuing simple models with balance sheets

Spreadsheets Tutorial : Financial Modeling in Spreadsheets

R Tutorial : Network visualization

R Tutorial : Network Attributes

R Tutorial : What are social networks?

SQL Tutorial: Formatting dates for reporting

SQL Tutorial: Time Series Analysis in SQL Server | Building dates

SQL Tutorial: Working with calendar tables

Python Tutorial: Analyzing Twitter data

Python Tutorial: Collecting data through the Twitter API

Python Tutorial: Understanding Twitter JSON

Spreadsheets Tutorial: Financial Analytics in Spreadsheets | Intro and first metrics

Spreadsheets Tutorial: Visualizing the price evolution

Spreadsheets Tutorial: Identifying dates with unusual prices

R Tutorial: What is Object-Oriented Programming?

R Tutorial: Assigning Classes

R Tutorial: The Nine Systems

R Tutorial: How does R Distinguish Variables?

R Tutorial: Classification with Nearest Neighbors

R Tutorial: Data preparation for kNN

R Tutorial: What about the 'k' in kNN?

R Tutorial: Generating a linearly separable dataset

R Tutorial: Sugar content of soft drinks

Python Tutorial : Linear decision boundaries

Python Tutorial : Applying logistic regression and SVM

Python Tutorial : Linear Classifiers in Python

Python Tutorial : Variables and Types

Python Tutorial : Hello Python!

Python Tutorial : Calculating KPIs - a practical example

Python Tutorial : Exploratory analysis of KPIs

Python Tutorial : Identifying and understanding KPIs

Python Tutorial : Customer Analytics and A/B Testing in Python

R Tutorial : Components of process data

R Tutorial : Activities as cornerstones of processes

R Tutorial : Introduction to Process Analytics

Python Tutorial : Basics of PuLP modeling

Python Tutorial : Using lpSum

Python Tutorial : Basics of optimization