Data Analysis

How to Measure Your Digital Channels with Marketing Mix Modeling - Dec. 22, 2025

Learn how to measure digital marketing performance using Marketing Mix Modeling (MMM) with PyMC. Discover how to estimate channel contribution, ROAS, adstock, saturation, and forecast scenarios without traditional attribution models.

Marketing Case – Data Analyst Technical Interview - Dec. 22, 2025

Learn how to measure the success of CRM campaigns using incrementality testing, A/B testing, and Marketing Mix Modeling (MMM). Discover a structured data-analytic approach to evaluating new user acquisition and channel efficiency.

Why Most Businesses Don't Need More Marketing—They Need Deeper Analysis - Dec. 15, 2025

Discover why most businesses don't need more marketing channels—they need deeper data analysis. Learn how statistical thinking, proper A/B testing, and exploratory analysis reveal the truth behind best-sellers, discounts, and campaign performance that sur

Central Limit Theorem - The Core Method to Resolve Uncertainty - Dec. 12, 2025

Learn about the Central Limit Theorem (CLT) and the Law of Large Numbers with practical examples. Understand how CLT applies to A/B testing and PPC marketing to make data-driven decisions.

GA4 URL Conversion Rate Analysis with BigQuery - Dec. 10, 2025

Learn how to calculate accurate conversion rates in GA4 using BigQuery. Step-by-step SQL guide to segment users, remove post-purchase visits, and avoid inflated metrics that exceed 100%. Includes working queries for Google's public ecommerce dataset.

Data as a Compass: Exploring Statistics, Machine Learning, and Marketing Insights - Nov. 11, 2025

Discover my journey applying statistical and machine learning methods like regression, SARIMAX, random forests, clustering, and dimensionality reduction. Explore my roadmap into Bayesian statistics and Marketing Mix Modeling for probabilistic, data-driven

Understanding ARIMA, SARIMA, and SARIMAX — and How They Help in PPC Forecasting - Nov. 2, 2025

Learn how ARIMA, SARIMA, and SARIMAX models can help PPC specialists forecast spend, conversions, and campaign performance more accurately. Understand when to use each model and how to include seasonality and external factors in your analysis.

My Data Analysis Journey: From Pascal to Python and AI - Nov. 1, 2025

A personal journey of growth in data analysis — from coding in Pascal to mastering Python, SQL, Power BI, and AI tools like TensorFlow and Hugging Face. Discover how a passion for data, analytics, and continuous learning shaped my career.

Roles in Data Analysis - Oct. 30, 2025

Explore the key roles in data analysis, from Business Analysts and Data Engineers to Data Scientists and AI Engineers. Learn the tools, domains, and career paths for data professionals.

How to Practice GA4 Analysis in MySQL/BigQuery: Build User Paths by Source/Medium - Sept. 29, 2025

Learn how to practice Google Analytics 4 (GA4) analysis in MySQL by building user paths and tracking source/medium. Step-by-step guide with SQL code, dynamic queries, and session analysis using GA4 event data.

What is Snowflake? A Beginner’s Guide to the Data Cloud - Sept. 25, 2025

Learn what Snowflake is and why it’s called the Data Cloud. Discover how data analysts, scientists, engineers, BI specialists, and even marketers can benefit from Snowflake’s storage, processing, ML, and app deployment capabilities.

Understanding DevOps: From Waterfall to Agile and Beyond - Sept. 24, 2025

Explore DevOps and its evolution from Waterfall to Extreme Programming and Agile. Learn the key stages of each methodology and how DevOps unites development and operations for faster, reliable software delivery.

What is Tableau? Features, Charts, Pricing & Data Visualization Guide - Sept. 16, 2025

Discover what Tableau is, its powerful data visualization capabilities, types of charts, data preparation tips, and 2025 pricing for Creator, Explorer, and Viewer licenses. Learn how Tableau helps analysts turn raw data into actionable insights.

How Uber Saved $35M on Ads: Lessons in Marketing Analytics - Sept. 16, 2025

Explore key insights from Uber's $35M ad savings. Learn how proper segmentation, metrics, and data analysis can optimize marketing strategy and avoid missed opportunities.

Optimizing SQL Queries in MySQL: Small Tweaks, Big Impact - Sept. 14, 2025

Learn practical techniques to optimize SQL queries in MySQL: indexes, SELECT optimization, joins, EXPLAIN, pagination, and caching. Improve performance with small tweaks that deliver big impact.

Essential Skills for a Data Analyst - Sept. 9, 2025

Discover the essential skills every Data Analyst should know, including Python, SQL, data visualization tools like Power BI and Tableau, and statistical theory for accurate decision-making.

A Data Fetching Tool for Google Transparency Center and Meta Ad Library API - Sept. 9, 2025

Learn how to generate CSV files from Google Ads Transparency Center and Meta Ad Library API using Python and BigQuery. Includes stored procedures, data import scripts, and best practices for handling large datasets.

D&D, Dice Probabilities, Roulette, and Monty Hall Explained - Sept. 5, 2025

Explore D&D dice rolls, roulette probabilities, and the Monty Hall problem. Learn why intuition often fails and how independent events work in statistics.

Data Analyst & Data Scientist Positions Abroad - Sept. 5, 2025

Explore open and archived Data Analyst, Data Scientist, and Data Engineer positions worldwide, including remote, hybrid, and on-site roles. Discover opportunities in Armenia, EMEA, USA, and Australia, and learn required skills, tools, and responsibilities

Essential Tools for Data Analysis, AI, and Business Intelligence - Sept. 5, 2025

Explore a curated list of key platforms, libraries, and services powering data analysis, AI, and business intelligence. Learn about tools like Airflow, Spark, AWS, DBT, TensorFlow, PyTorch, and more.

What is a P-Value and Why PPC Specialists Should Care - Sept. 3, 2025

Learn what a p-value is and how PPC specialists use it in A/B testing and Chi-Square analysis to compare conversion rates and make data-driven decisions.