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I’m a data analyst.

I clean and prepare data daily for my job.

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

Data cleaning is an essential step to make your analysis meaningful.
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Skills a data analyst needs:

1. Technical skills
šŸ“ SQL
šŸ“ Excel
šŸ“ Data viz (Power BI/Tableau)

2. Soft skills
šŸ“ Problem solving
šŸ“ Communication
šŸ“ Thinking (critical + analytical)
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Anyone with an Internet connection can learn š——š—®š˜š—® š—”š—»š—®š—¹š˜†š˜€š—¶š˜€ š—³š—¼š—æ š—³š—æš—²š—²:

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.iss.one/DataPortfolio

If you've read so far, do LIKE and share this channel with your friends & loved ones ā™„ļø

Hope it helps :)
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āŒØļø 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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