🎶It's a cruel summer 🎶 Learn SQL using Taylor Swift's discography as your database in one of our most popular learning paths: https://bit.ly/3wUbP4u
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TIL: pandas.NA and numpy.nan behave differently when they are compared to other values: pd.NA == 123 evaluates to <NA> (NULL propagation like in SQL) numpy.nan == 123 evaluates to False (IEEE float comparison rules) As a consequence, casting a float column in a dataframe to Int64 might not be safe, even when the column only contains integer and missing values!
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Big Data Engineer || Hadoop || PySpark || Apache Spark || Python || Microsoft Azure || Azure Data Factory || Databricks || SQL II AWS
SQL Exam Cheat Sheet
Data Engineer - lII at Carelon 👨💻 | Mentor | Experienced Data Engineer with Expertise in Developing Robust Data Pipelines and Analytical Solutions
Outstanding sql cheatsheet for you all. Do take a look at it. It’ll help all the college students in exams🤣. Jokes apart, it is one of the crisp sheet to know about all the sql topics in just few seconds. Follow Abhishek Jha 😉.
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Data Engineer - lII at Carelon 👨💻 | Mentor | Experienced Data Engineer with Expertise in Developing Robust Data Pipelines and Analytical Solutions
Outstanding sql cheatsheet for you all. Do take a look at it. It’ll help all the college students in exams🤣. Jokes apart, it is one of the crisp sheet to know about all the sql topics in just few seconds. Follow Abhishek Jha 😉.
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Serving Notice Period | Engineer @Lava | Big Data Enthusiast | SQL, MSSMS, MySQL | Python (Pandas, Matplotlib, Numpy) | Microsoft Power BI | Help to take data-driven decisions
Another Day, Another Learning! I tried to solve another SQL problem from Ankit Bansal Sir's YouTube playlist, I must say this was tricky, and because of that only I learned something new today like inserting dummy records and how UNION ALL comes to rescue where we can't use WINDOW Functions or the concept of pivoting. Video Link: https://lnkd.in/gsQjWV8H #sql #sqllearning #sqlmastery #problemsolving
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Anatomy of a Polars Query: A Syntax Comparison of Polars vs SQL Transitioning from Pandas to Polars the easy way — by taking a pit stop at SQL by Ben Feifke https://buff.ly/3ToRYBx
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Analyst | Data Analyst | Power BI Developer | SQL | Power BI | Advanced Excel | Python | GGI YLP 2023
Useful SQL cheat sheet. It will help revise the basic concept of SQL effectively. Do give it a look. Thanks for sharing Abhishek Jha #sql #dataanalyst #datacareer
Data Engineer - lII at Carelon 👨💻 | Mentor | Experienced Data Engineer with Expertise in Developing Robust Data Pipelines and Analytical Solutions
Outstanding sql cheatsheet for you all. Do take a look at it. It’ll help all the college students in exams🤣. Jokes apart, it is one of the crisp sheet to know about all the sql topics in just few seconds. Follow Abhishek Jha 😉.
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Business Analyst and Software Architect - Merging Business Analysis with Advanced Software Architecture
Maybe one of the few seminal papers in the computer history: the paper that gave birth to #SQL #SEQUEL. It was explained as a "[...] structured English query language (SEQUEL) which can be used for accessing data in an integrated relational data base. Without resorting to the concepts of bound variables and quantifiers SEQUEL." which is still very similar to the definition from Wikipedia. The paper brought us concepts like 👉 tables 👉 relations and relational-data 👉 normalization and 👉 queries. It comes with a lot of examples that should be still familiar to many developers, e.g. this here: Find the names of employees in the toy department. SELECT NAME FROM DEP WHERE DEPT = 'TOY' Thank you Don Chamberlin, Raymond F. Boyce and IBM!
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Data Analyst & Business Intelligence Specialist | Unlocking Insights for Informed Decision-Making | EXCEL | SQL | POWER BI | TABLEAU |
Test your SQL knowledge with this fun little quiz provided by W3Schools.com 📍 Perfect for refreshing your memory on some key concepts and identifying what you need to work on. ✅
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Day 43 and 44 of #100daysofcoding Day 43 I started learning probability: sample space,marginal probability,union probability and mutually exclusive events and how mutually exclusive events affects union probability. I relearnt SQL server:TOP N PERCENT keyword,TOP keyword, DISTINCT keyword CHAR INDEX keyword, LEFT and RIGHT keywords, REPLACE and SUBSTRING keyword. Day 44 I learnt about joint and conditional probability ,how the union of two events a and b is the multiplication rule and the intersection of two events is addition rule.
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Amazon ML Summer School '24 | Google Data Analytics Certified | AI 900 Certified | Aspiring Data Scientist | Final Year CSE Student at St. Joseph's College of Engineering
#Day7ofSQL I've solved 1 medium level and 2 easy level SQL problems on LeetCode, which have significantly sharpened my data querying skills. Here are the problems I did: 1. Game Play Analysis IV- https://lnkd.in/g2sDXN5q 2. Number of Unique Subjects Taught by Each Teacher- https://lnkd.in/ghJYZTZr 3. User Activity for the Past 30 Days I- https://lnkd.in/gCTMWudt #SQL #DataScience #LeetCode #DataAnalysis #ContinuousLearning
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