Blog

Data Science Tutorials

Learn Python 3 for Data Science – from scratch

Tomi Mester December 4, 2022

Data anonymization versus data masking – what’s the difference?

Agnes Fekete October 14, 2022

Correlation: What is it? How to calculate it? .corr() in pandas

Levi Kulcsar October 3, 2022

K-means Clustering with scikit-learn (in Python)

Tamas Ujhelyi September 13, 2022

SQL functions (SUM, COUNT, AVG, MIN, MAX) and GROUP BY | SQL for Data Analysis Tutorial, ep3

Tomi Mester June 25, 2022

Pandas groupby(), count(), sum() and Other Aggregation Methods (Pandas Tutorial 2.)

Tomi Mester June 18, 2022

SQL Interview Questions: 3 Tech Screening Exercises For Data Analysts (in 2022)

Tomi Mester May 31, 2022

Random Forest in Python (and coding it with Scikit-learn)

Tamas Ujhelyi May 30, 2022

Pandas Tutorial 1: Pandas Basics (Reading Data Files, DataFrames, Data Selection)

Tomi Mester May 26, 2022

Statistical Bias Types explained (with examples) – part 1

Tomi Mester May 16, 2022

My Computer Setup for Data Science (Apps, Software, Programs and Tools I Use in 2022)

Tomi Mester May 11, 2022

What’s the best computer/laptop for a data scientist in 2023?

Tomi Mester May 9, 2022

The great data buzz during my maternity leave: tweet and sentiment analysis with Fruzsi

Fruzsi Tulezi April 14, 2022

Coding a Decision Tree in Python Using Scikit-learn, Part #2: Classification Trees and Gini Impurity

Tamas Ujhelyi February 16, 2022

What Makes a Good Metric?

Andrea Sipos August 16, 2021

Introduction to the R Programming Language – Basic Concepts for Beginners

Joachim Schork July 20, 2021

How to Use Jupyter Notebook (Basics for Beginners + Best Practices)

Tomi Mester July 12, 2021

Data Cleaning and Exploratory Data Analysis Using the OkCupid Dataset (Part 1)

Amy Birdee May 31, 2021

Junior Data Scientist Job Interview Questions (and How to Answer Them)

Peter Scobas May 10, 2021

18 Things You’ll Learn about Data Science Only on the Job

Tomi Mester April 19, 2021