Karina | Python | Excel | Stats | DataScience | DataAnalytics

Karina | Python | Excel | Stats | DataScience | DataAnalytics

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Data analytics/science educator; active, high‑engagement posts on pandas/Python and big‑data‑adjacent workflows for analytics.

Eight Underrated Data and Career Books You Must Read
SocialMay 4, 2026

Eight Underrated Data and Career Books You Must Read

I have read a lot of books on data, statistics, and career development. These 8 do not appear on most recommended lists — and they should. TECHNICAL 1. Head First SQL — Lynn Beighley More visual and beginner-friendly than most SQL books. Uses...

By Karina | Python | Excel | Stats | DataScience | DataAnalytics
12 Free Sites to Master SQL Practice
SocialApr 25, 2026

12 Free Sites to Master SQL Practice

12 free websites to practise SQL sqlbolt[dot]com sqlzoo[dot]net sql-practice[dot]com selectstarsql[dot]com datalemur[dot]com/sql-tutorial sql-easy[dot]com w3schools.com/sql hackerrank.com/domains/sql leetcode.com/problemset/database thoughtspot[dot]com/sql-tutorial pgexercises[dot]com dbfiddle[dot]uk

By Karina | Python | Excel | Stats | DataScience | DataAnalytics
Master the 5 Key Stats Behind Every A/B Test
SocialApr 23, 2026

Master the 5 Key Stats Behind Every A/B Test

These 5 concepts come up constantly in real analysis — A/B tests, business experiments, reporting to stakeholders who ask exactly that question. Confidence intervals — the range your true value likely falls in Hypothesis testing — the framework for testing whether a...

By Karina | Python | Excel | Stats | DataScience | DataAnalytics
Master Python by Playing These Fun Games
SocialApr 20, 2026

Master Python by Playing These Fun Games

You can learn Python by playing games: 1. Codédex — cododex[dot]io 2. CodinGame — codingame[dot]com 3. Codewars — codewars[dot]com 4. Exercism — exercism[dot]org 5. Battlesnake — play.battlesnake.com 6. CheckiO — py.checkio.org 7. Advent of Code — adventofcode.com 8. Making Games with Python & Pygame —...

By Karina | Python | Excel | Stats | DataScience | DataAnalytics
Learn SQL Through Games, Not Dry Tutorials
SocialApr 16, 2026

Learn SQL Through Games, Not Dry Tutorials

You can learn SQL by playing a game. I am not joking. Most people quit SQL tutorials because dry exercises on fake datasets feel pointless. These free games give you a reason to write queries. A murder to solve. An island to...

By Karina | Python | Excel | Stats | DataScience | DataAnalytics
Use Pandas Query() for Cleaner, Chainable DataFrame Filters
SocialApr 10, 2026

Use Pandas Query() for Cleaner, Chainable DataFrame Filters

Python tip You've been filtering DataFrames like this. df[(df['region'] == 'UAE') & (df['revenue'] > 10000)] There's a cleaner way. df.query("region == 'UAE' and revenue > 10000") Same result. No brackets. No repeated df. Reads like a sentence. Where it really pays off is inside a chain. Use...

By Karina | Python | Excel | Stats | DataScience | DataAnalytics
Prefer UNION ALL for Speed; Use UNION only for Deduplication
SocialApr 9, 2026

Prefer UNION ALL for Speed; Use UNION only for Deduplication

UNION VS UNION ALL in SQL UNION deduplicates every row after combining the results. That means sorting, comparing, discarding. On large tables that's a real performance cost -- and most of the time, you don't even need it. UNION ALL stacks the...

By Karina | Python | Excel | Stats | DataScience | DataAnalytics
Business Queries Demand More than Basic SQL Skills
SocialApr 8, 2026

Business Queries Demand More than Basic SQL Skills

There is a gap between knowing SQL and knowing enough SQL to answer the questions a business actually asks. "Show me each customer's rank within their segment." "Give me a running total of revenue by month." "Flag anyone earning above their...

By Karina | Python | Excel | Stats | DataScience | DataAnalytics
Data Cleaning Is Core Analysis, Not Just Prep
SocialApr 7, 2026

Data Cleaning Is Core Analysis, Not Just Prep

I’ve never worked with a clean dataset. Every real project = messy data. And it always comes down to 4 things: • Missing values • Duplicates • Data types & formatting • Outliers Cleaning isn’t a “prep step”. It is the analysis.

By Karina | Python | Excel | Stats | DataScience | DataAnalytics
Plans Are Starting Points; Embrace Pivots for Growth
SocialApr 7, 2026

Plans Are Starting Points; Embrace Pivots for Growth

38 🎂 At 20 I had a plan for my life. It bore almost no resemblance to what actually happened. Here is what I know at 38 that I didn’t know at 20. The plan is useful for getting started, but it...

By Karina | Python | Excel | Stats | DataScience | DataAnalytics
Validate Data Loads Instantly with SQL EXCEPT
SocialApr 3, 2026

Validate Data Loads Instantly with SQL EXCEPT

SQL tip You ran a load job overnight. How do you know every record made it? Most people recount rows and hope the numbers match. There's a cleaner way. SELECT order_id FROM staging.orders EXCEPT SELECT order_id FROM production.orders; If this returns nothing, every order transferred successfully. If...

By Karina | Python | Excel | Stats | DataScience | DataAnalytics
Smooth Daily Revenue with a 7‑Day Rolling Average
SocialApr 2, 2026

Smooth Daily Revenue with a 7‑Day Rolling Average

SQL tip Daily revenue is noisy. One bad Monday skews the whole picture. A 7-day moving average smooths it out. ROWS BETWEEN 6 PRECEDING AND CURRENT ROW tells SQL to look at today plus the 6 days before it. The result is a rolling...

By Karina | Python | Excel | Stats | DataScience | DataAnalytics
Window Functions Rank without Collapsing Rows
SocialApr 1, 2026

Window Functions Rank without Collapsing Rows

SQL tip GROUP BY collapses your rows. Sometimes you need the ranking without losing the detail. That's what window functions do. PARTITION BY region restarts the ranking for each region. ORDER BY total_spend DESC puts the highest spender at rank 1. Every row stays intact....

By Karina | Python | Excel | Stats | DataScience | DataAnalytics
Combine Multiple Aggregates in One Query Using CASE
SocialMar 31, 2026

Combine Multiple Aggregates in One Query Using CASE

SQL tip You're running three separate queries to get this. SELECT SUM(amount) FROM orders WHERE user_type = 'premium'; SELECT COUNT(*) FROM orders WHERE is_first_order = TRUE; SELECT SUM(amount) FROM orders; You can get all three in one. This pattern works across Oracle, SQL Server, PostgreSQL, BigQuery...

By Karina | Python | Excel | Stats | DataScience | DataAnalytics