The p-value is one of the most important measures in statistics for exploring our world and making statistically significant discoveries.
In this blog, I'm sharing my knowledge of digital marketing and data analysis. You may find these articles useful if you want to grow your business or discover advanced ways to analyze your data.
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
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.
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.
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.
Learn how to connect Microsoft Ads with Google Sheets using a custom script. Step-by-step guide and ready-to-use code to export campaign data, impressions, clicks, conversions, and cost metrics automatically.
Discover why overlooking ad copy is one of the biggest mistakes in Google Ads. Learn how to craft clear, specific, and engaging messages that stand out, drive clicks, and increase conversions.
Why PPC Specialists and Account Managers should remain separate roles: specialization, better client relations, operational efficiency, and balanced workloads for stronger digital advertising outcomes.
Discover why most Google Ads fail—not because of targeting or bidding, but weak messaging. Learn how to write ad copy that skips hype, informs with facts, and truly converts.
Master stakeholder management with three proven frameworks: SCARF for understanding motivations, RACI for role clarity, and DISC for communication styles. Complete guide with practical examples and implementation strategies.
I'm actively applying for jobs from Armenia, yet many applications remain unopened. In the AI era, real networking matters more than Easy Apply.
After 3 years on LinkedIn, I look back at the mistakes I made during my first year—overusing hashtags, posting external links, tagging the wrong people, and more. Learn what to avoid and how to grow effectively on LinkedIn.
Black and Cat Café – a cozy place with delicious coffee, jazz evenings, and a friendly team. Meet our barista Sam Bridges, who builds bridges between people with every cup of coffee.
These articles are regularly updated to provide fresh insights on data analysis, AI, and career opportunities. Check back often for the latest information!
Discover open and archived Data Analyst, Data Scientist, and Data Engineer positions worldwide. Includes remote, hybrid, and on-site roles. This list is continuously updated to reflect the latest opportunities.
Explore a curated list of platforms, libraries, and services for data analysis, AI, and business intelligence. This article is regularly refreshed to include the newest tools and updates.