Kore Josh
@kore_joshData Scientist | Biochemist | Onchain Analyst
Similar User
@OnyeEnugu77
@theNeuralNinja
@artintt1
@LoneRealFam
@7kazute
@mirexog
@Danieludoh08
@youngblincks
@Godwin_Iyke_
@hErBiDoY_
@Losky_nation
@EdeoghonValent1
@TopDjNotch
@A_Oluwatomiwa
@Iam_Usmannn
I am a data analyst, what field can I work in for a web3 role. Tired of this group joining. #web3 #jobs Pinovibes Rema Grammy
Thrilled to kick off the Power BI Marathon program with Tina! Ready to dive deeper into DAX, KPIs, and stunning visualizations. Can’t wait to level up my data storytelling! 📊💡 #PowerBI #DAX #DataVisualization #KPI #DataStorytelling #Growth
Clean messy dataset like this as a beginner in data analytics: ⬇️
Mastery starts with knowing how you learn. SQL and Python once felt like mountains, but after engaging multiple times, I mastered them. Repetition is the key to unlocking understanding. 🚀 #LearningJourney #SQL #Python #GROWTHTHEORY Bro to Bro #Hamster
#datafam 🧠🚀 Automating data pipelines in Python like a pro! Here’s a sneak peek at my latest module: Inspects 🧐,Cleans 🧽, and Selects 🔑 key features A must-have for efficient, scalable data processing! ⚡ Stay tuned for more! #Python #DataScience #AI Arsenal #TOTARS
Please who is /or knows someone that is good on JavaScript to help me out with a Script( on security lock) in Google sheet? Saka, Rodrygo, South Africans Madrid
Please who is /or knows someone that is good on JavaScript to help me out with a Script? Saka, Rodrygo, South Africans Madrid
#datafam Developing a #Python script for automated data cleaning: it removes duplicates, handles missing values, corrects datatype/label errors, splits data by type, and fixes outliers. If you have insights on common label errors, I'd appreciate your input to make it more robust!
So yes, another code snippet from my data cleaner file is a code block that correctly checks through the row of a column and identifies if the row-wise content of the column is numeric or categorical, this helps check and correct datatype errors. Enjoy!😉 #data #Kelly #PFAawards
So yes! You know .duplicated() checks for duplicated based on row, so I wrote a code that checks for duplicate columns 😄😎, it is part of my data cleaner python file I am writing. Enjoy! #PFAawards #data #Blum #Kelly
So yes! I am learning Onchain analytics with #dune, haven structured my day using Google calendar, the next big issue is internet facility [data plan as it's known] . Only if I had 1TB for a year, trust I excellent, coz I wanna earn 4rm web3. #MUNFUL WANNI #DeadpoolAndWolverine
So, yes I ❤️#python (for data science oo), didn't get to my current level of expertise on the first trial. I am some1 that has to read 3x to be able to reproduce what have learnt. I know my learning pattern, do you? Figure it out and change your life. #data #DeadpoolAndWolverine
So I am here to remind you of two infallible facts on the #data journey. •Consistency is the key to achieving anything. Show up even if it's 30min. •You can learn anything on YouTube. Confused chatgpt and YouTube is always there to help. Use it wisely. #Asherkine #analysis
It's a blessing that women and men are not the same. 🙏
“You miss 100% of the shots you don’t take (in life)” Everybody needs to see this video:
New positions. Are you interested? +Data Analyst Intern (Remote Global) +Mobile Engineer (Remote NG/GH/SA) 3+ YOE +Mid Frontend Engineer - React/Angular (Lagos) +Content Marketing Specialist (Remote Nigeria) +Growth Marketing Specialist (Remote Nigeria) +Data Entry Clerk…
I saw this video a few days ago and I pondered over it. Since she's a white American, let's take a brief look at the statistics available online. Divorce rate between a white wife & black husband is 2ce as high, when compared to a white wife & white husband, by their 10th
United States Trends
- 1. Travis Hunter 11,7 B posts
- 2. Arkansas 28,6 B posts
- 3. Heisman 5.144 posts
- 4. Ewers 2.119 posts
- 5. Northwestern 6.358 posts
- 6. $CUTO 8.265 posts
- 7. Carnell Tate 1.610 posts
- 8. Colorado 67,8 B posts
- 9. Sheppard 2.940 posts
- 10. Sark 1.831 posts
- 11. Jeremiah Smith 1.324 posts
- 12. Caleb Downs N/A
- 13. Isaac Wilson N/A
- 14. #HookEm 2.650 posts
- 15. Denzel Burke N/A
- 16. Shedeur 3.810 posts
- 17. #Buckeyes N/A
- 18. Gus Johnson N/A
- 19. Wrigley 3.867 posts
- 20. Matthew Golden N/A
Who to follow
-
Onye Enugu
@OnyeEnugu77 -
Osehon Akhuetie
@theNeuralNinja -
artintt
@artintt1 -
Lone
@LoneRealFam -
kazute
@7kazute -
Paul Miracle
@mirexog -
P@radox
@Danieludoh08 -
Wisdom O.S.A
@youngblincks -
Godwin-Iyke
@Godwin_Iyke_ -
Abiodun Abidoye
@hErBiDoY_ -
Stanley_Ehis
@Losky_nation -
Thekingswife
@EdeoghonValent1 -
DJ NOTCH
@TopDjNotch -
Ajayi Oluwatomiwa
@A_Oluwatomiwa -
..
@Iam_Usmannn
Something went wrong.
Something went wrong.