Kadatemy

A virtual data school for beginners.

[Kadatemy @kadatemy]

5. Identifying your niche in the data industry:
The data space is fast growing and it’s beginning to beg questions like whether I go for data analysis, data science, data engineering, ML engineering, ML research, etc.

[Kadatemy @kadatemy]

Are you looking for inspiration on what to write about in your first/next technical article?

Here are unpopular topic ideas that are related to the data field, which you can explore. 👇

[Kadatemy @kadatemy]

4. Becoming a better speaker at tech events:
If you have spoken at an event, you can agree that it’s sometimes difficult to come up with topic ideas, understand the audience and put up yourself to transfer knowledge.

[Data Science Dojo @DataScienceDojo]

📌 Data science process and roles!
Source: @RavitJain

#DataScience #AI #ML

[Kadatemy @kadatemy]

We are holding a FREE Python course for BEGINNERS on Saturday.

Tag a friend who needs to attend.

It will be an introductory, focusing on how to write Python codes and use them for data analysis. The class is hands-on, so join with a laptop.

https://t.co/RMnxZZ5dyr

[Paystack @paystack]

Hello #datafam 👏🏾

We’re hosting a webinar where we’ll share how we use data to make critical business decisions at Paystack. During this 60-minute session, you’ll meet members of our Data team and learn how we work ✨

📅 Tue, Nov 8
⏰ 1 pm (WAT)

RSVP 👇🏾
https://t.co/oQCGkXKa49

[Kadatemy @kadatemy]

A happy new month to our 1.5k+ followers.
What are you finding most challenging in your data career?

[Akshay 🚀 @akshay_pachaar]

Beginner friendly Data Analysis Projects with code. 🧑‍💻

💫 All in Python 🐍

A Thread 🧵👇

[Kadatemy @kadatemy]

@nwajiuto ♥️♥️

[Kadatemy @kadatemy]

October Dump!

Did you work on any interesting data-related projects or articles? Let's see it.

Share your GitHub repo in the thread and we will give you feedback and perhaps ⭐️ it too. Also, share your articles for a retweet as well.

[Kadatemy @kadatemy]

This is a great project on crime analysis from one of our past students: https://t.co/JvQTm3EXxr

Check the GitHub link to see the codes. 👇

[Nwaoma U @nwajiuto]

@kadatemy Thanks alot Kadatemy 😊😊 I worked on Analysis of crimes in Boston the medium is this
https://t.co/7GbGianA3k
While the GitHub is
https://t.co/53tU7cisaV

[Kadatemy @kadatemy]

@nwajiuto @nwajiuto, we are super proud of what you've been doing lately. 🚀

Here's our feedback on this:
1. In the medium article, your last two recommendations are not necessary. Use Grammarly too.
2. In your analysis, research on why there's high crime in August.

3. You earned a ⭐!

[Zach Wilson @Zachly]

Starting out in the data field can be overwhelming. Should you be a data scientist? A data engineer? A data analyst? An ML engineer? The number of role options is overwhelming!

Here's some high-level guidance on how to pick between some of these roles.
1/5

[Kadatemy @kadatemy]

Say a prayer for your mentor today. Send them a kind message to encourage them. They might need it, today is Monday.

[Data Hokage @seyiflawless]

@kadatemy Wole is making mad sense.
I see people having 99% accuracy on models after using a madly complex model. Truth is, nobody will patronize you if it will take eons to use your model.

[Chima @chimaihueze]

If you’re a newbie in the Data field or you intend to switch to Data, join this space 😀

[Kadatemy @kadatemy]

The space has started.
https://t.co/0uEe1pixyI