Mastering SQL isn't just about learning concepts; it's about solving problems. ๐งฉ
Hereโs a curated list of the best platforms to practice SQL and sharpen your skills.
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1. LeetCode
Ideal for SQL problems ranging from easy to hard, especially for interview prep.
๐ leetcode.com/problemset/datโฆ
A spreadsheet inside the Notebook which also generates Pandas code.
This makes Data Analysis easy for All!
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@tryMito is designed to simplify complex data tasks.
It offers a user-friendly interface to streamline data processing, visualization, and collaboration, making it an invaluable asset for data scientists.
It is built on:
๐ Jupyter
๐ท Streamlit
๐ท Python
๐๐ผ Free Resume Guide for Data Analysts: Crafting an Impressive Data-Driven Resume! ๐๐
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1๏ธโฃ Hello aspiring data analysts!
๐ In this thread, we'll explore a comprehensive guide to help you create a standout resume that showcases your skills and experiences in the field of data analysis. Let's dive in and make your resume shine! ๐ผ๐ก
2๏ธโฃ Key tips for your resume:
๐ Start with a Summary Statement: Introduce yourself and your goals concisely.
๐ Highlight Relevant Skills: Emphasize technical skills like SQL, Python, and data visualization.
๐ Showcase Education: Include degrees, certifications, or courses.
Learn Django for free ๐ค๐ค๐ค.
Today, let's talk about Django tutorials for beginners in simple terms and why learning Django can be super helpful for you.
Let's get started! ๐ป๐
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Every data scientist works with databases to query and process structured & unstructured data for Analysis.
@esProc_SPL has developed an open-source scripting language called SPL which comes in really handy for data processing.
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Let's take a simple Select Operation and compare it using SQL and SPL. 1. Getting the Names & Salaries of employees in the R&D Department and New York State.
SQL Solution:๐
The important thing to note here in SPL is fast and provides lightweight computing power independent of the database.
SPL Solution:๐