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Post #1318 2.39K
⌨️ MongoDB Cheat Sheet

MongoDB is a flexible, document-orientated, NoSQL database program that can scale to any enterprise volume without compromising search performance.


This Post includes a MongoDB cheat sheet to make it easy for our followers to work with MongoDB.

Working with databases
Working with rows
Working with Documents
Querying data from documents
Modifying data in documents
Searching
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Post #1316 2.37K
Anyone with an Internet connection can learn 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗳𝗼𝗿 𝗳𝗿𝗲𝗲:

No more excuses now.

SQL - https://lnkd.in/gQkjdAWP
Python - https://lnkd.in/gQk8siKn
Excel - https://lnkd.in/d-txjPJn
Power BI - https://lnkd.in/gs6RgH2m
Tableau - https://lnkd.in/dDFdyS8y
Data Visualization - https://lnkd.in/dcHqhgn4
Data Cleaning - https://lnkd.in/dCXspR4p
Google Sheets - https://lnkd.in/d7eDi8pn
Statistics - https://lnkd.in/dgaw6KMW
Projects - https://lnkd.in/g2Fjzbma
Portfolio - https://t.me/DataPortfolio

If you've read so far, do LIKE and share this channel with your friends & loved ones ♥️

Hope it helps :)
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Post #1314 2.47K
Data Science vs. Data Analytics
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Post #1313 2.45K
Skills a data analyst needs:

1. Technical skills
📍 SQL
📍 Excel
📍 Data viz (Power BI/Tableau)

2. Soft skills
📍 Problem solving
📍 Communication
📍 Thinking (critical + analytical)
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Post #1310 2.74K
I’m a data analyst.

I clean and prepare data daily for my job.

This is how I would learn data cleaning for 2025:
✅Learn how to handle missing values
✅Learn data normalization and standardization
✅Learn to remove duplicates
✅Learn how to handle outliers
✅Learn how to merge and join datasets
✅Learn to identify and correct data inconsistencies

Data cleaning is an essential step to make your analysis meaningful.
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Post #1304 2.83K
Post #1301 2.71K
When you join a company and their database is an Excel workbook 😂
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Post #1294 3.34K
Python Pandas Beginner's Guide
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