Discover and read the best of Twitter Threads about #DataScience

Malcom Okonkwo

@malcom_okonkwo

Hello Datafam,

So someone asked me where they can get to practice SQL so I would dropping links to platforms where you can practice SQL

Thread 🧵

1) Hackerrank @hackerrank

I have used this platform and I really loved using it. I also love that they reward with badges and stars as you make progress

check it out here: hackerrank.com/domains/sql

@DataLemurHQ

2) DataLemur @DataLemurHQ
I personally love this because they give standard interview questions that cuts across various industries. There are also level such as Easy, Medium and Hard so if you want to prepare for technical interviews, check it out

datalemur.com/sql-interview-…

Read 9 tweets

90% of data scientists don't track their experiments.

Here's how to fix that with one line of code... 🧵

#datascience

Experiments are the lifeblood of a data scientist.

They help you answer questions like:

Which model performed best?
Which model is actively deployed?
When is the last time we updated the model?

But 90% of data scientist are just saving a model file and thinking their finished

Well, there's a tool called #MLFlow that simplifies this process and makes managing model lifecycle much easier.

And you can log your models in #MLFlow with 1 line of code...

Malcom Okonkwo

@malcom_okonkwo

@lighthall_co

Happy Sunday Everyone,

I think I am feeling well enough to make this tweet

So I want to share a small win here. I am participating in the Data Analytics Super League organized by @lighthall_co and I want to share that I advanced to level 3 in flying colors

Top of the table😁

The Level 2 challenge was a murder mystery challenge to find who the killer is and we were to solve the challenge using SQL

If you dug deeper you'd find out that there was someone who hired it.

Nothing complex but it was fun, felt like a detective 😊

@lighthall_co

My submission: drive.google.com/drive/folders/…

If you want to try it out yourself and have fun with SQL, check here
lighthall.co/challenge/cd01…

Thank you @lighthall_co and @thenaijacarguy for the challenge

it is getting really interesting and level 3 is not easy

Read 5 tweets

Dr Abdul Ali

@dr_abdulali125

The basics of R for Beginners.

Bookmark this Tweet and Follow for More

COMMENT PDF - and I will send you the compiled PDF of more than 10 Cheat Sheets

#DataAnalytics #DataScience #rstats #data #BigData

If you have not received any DM from me that means your Inbox is disabled.

Follow me so that I can Inbox you.

@dr_abdulali125

Don't forget to:

✅ Follow
@dr_abdulali125
🔥

✅Like the first tweet in the thread
✅ Retweet this post to share with the world.

Have an amazing day 🙏

Read 4 tweets

As a data scientist, productivity is a 10X super power.

Here's a short list of AI tools to help data scientists with: 🧵

#ai #datascience #career #skills #tools

1. Writing code

AI pair programming is a huge benefit.

Tools like #chatgpt & github #copilot can help debug complex code and replace Googling + Stack Overflowing for common scripting.

Key skill: ChatGPT prompting (more on this in my free ChatGPT for Data Scientists)

@mintlify

2. Code Quality & Documentation

Great products have great documentation. AI can help produce documentation, comment code, and replace time-consuming manual documentation with automated AI docs.

Key Skill: Using @mintlify to build your docs: mintlify.com

Read 7 tweets

BIG ANNOUNCEMENT: I'm beyond excited to announce that in 5 days, I'm launching my brand new course- The #Python for Machine Learning & API's Course.

This course will transform your #career.

Here's what's inside... 🧵

#datascience #course

This launch marks the culmination of 2 years of research...

It covers The 6 Top #Python libraries for machine learning and production:

1. #Pycaret: Low-code machine learning

Read 10 tweets

Over the past 3 years, I've been writing Python code daily.

And this coming Thursday, I'm excited to share what I've learned. 🧵

#datascience #career #python #rstats

Most of you know me as an #R guy. And I 1000% love R. ❤️

But I've also grown over the past 10+ years that I've been practicing data science as a data scientist, as a consultant, and as an educator.

What I've come to realize is that no one language is perfect.

Each has its strengths. And weaknesses.

And more often than not we get caught up in debating things that **don't** really matter...

Like R vs Python.

Read 11 tweets

There are more than 10,685,000 people learning to work with data.

Yet most data science jobs now have over 1000+ applicants.

And only 5 actually make it to an interview.

Learn these 4 skills to stand out (free to steal & use to advance your career).

#datascience #rstats

1. Time series analysis

Up to 90% of companies need better forecasting.

And less than 5% of data scientists are competent in time series analysis.

Key Point:

Becoming good at time series is a massive advantage that automatically places you in the 95th percentile of applicants.

Try This:

Demonstrate an application of time series analysis in the interview, and set yourself apart from the crowd.

Read 13 tweets

Becoming a 6-figure data scientist (with #R) in today's economy is different than it was in 2022.

It requires a transformation...

#datascience #career #rstats

And those that successfully make the transformation:

1. Get hired 75% faster (3-6 months vs 12+ months)

2. Earn 17% more ($145K vs $117K)

3. Get promoted 2X faster (1-2 years vs 2-4 years)

Want to learn how?

I have a LIVE Masterclass today where I will reveal the exact steps to take.

Strict limit: 500 Seats (and we are over-capacity)

Read 4 tweets

There are 100,000 data scientists on the market. How can you possibly get a job?

This is one way… 🧵

#datascience #rstats

Imagine this.

You walk into the Central Bank of Canada, the backbone of Canada’s financial system.

You’re applying for a data science position.

On paper the odds are stacked against you.

You use R.

The whole team uses Python.

And you are a complete unknown.

Read 10 tweets

87% of data science projects fail.

One reason is the lack of production.

Here's an easy solution. 🧵

#datascience #python #R #rstats #career

This is called an #API (Application Programming Interface).

An API allows the user to make requests using a tool they are comfortable with.

The API runs a program that the data scientist has created on the server.

And the API returns a result.

Sachin Kumar

@Sachintukumar

Are you completely new to SQL and do not know where to start?

Here is a simple concept roadmap for learning SQL as a complete beginner:

🧵

1. 𝐋𝐞𝐚𝐫𝐧 𝐭𝐡𝐞 𝐛𝐚𝐬𝐢𝐜𝐬:

- Primary Key vs Foreign Key
- Data Types
- Database diagrams
- Tables
- Records and Fields
- Naming standards for tables and fields

2. 𝐑𝐞𝐭𝐫𝐢𝐞𝐯𝐢𝐧𝐠 𝐃𝐚𝐭𝐚 𝐰𝐢𝐭𝐡 𝐒𝐄𝐋𝐄𝐂𝐓:

- Learn how to write SELECT 𝘤𝘰𝘭𝘶𝘮𝘯(𝘴) FROM 𝘵𝘢𝘣𝘭𝘦
- Combine with other keywords: WHERE, ORDER BY & LIMIT
- Learn how to use arithmetic operators in SELECT statement
- Retrieve unique values with DISTINCT keyword

Read 8 tweets

What stresses me out isn’t the same thing that stressed my parents out.

True story. 🧵

#datascience #rstats

It was the day before R/Finance 2018.

I had a presentation for R/Finance where I was going to present a Shiny App that I was working on.

I updated my R software…

Big mistake.

My shiny app suddenly stopped working and I went into straight panic-mode. 😱

This was before I knew how to use GitHub & Docker like I do now.

So I was freaking out.

Read 12 tweets

Becoming a data scientist in this economy isn't easy.

But it can be done.

Here are a few tips.

#datascience #career

First, build the foundational skills.

These include:

- Data Cleaning
- Data Wrangling
- Visualization
- EDA (Exploratory Data Analysis)
- Machine Learning
- Clustering
- Reporting
- Programming

Time Frame: 6 Weeks

Next, you need 3 of the most overlooked skills:

1. Problem-Solving Skills
2. Time Series
3. Production

These are the skills that will generate the most ROI for your company.

And it's what they will hire you in a recession for.

Read 7 tweets

Dan Ofer

@danofer

1/ 🧪🔬 Ever wondered if scientific research can be predicted? Our latest paper "What's next? Forecasting scientific research trends" tackles this question. Check out the details here 👉 arXiv:2305.04133v1 [thread] 🧵

2/ 🌍 The world of science is constantly evolving. But what if we could predict these trends, especially in life sciences? That's what our work aims to do. Imagine the possibilities!

3/ 📚 We've mined historical publications, research/review articles, and patents. The result? Models that can foresee scientific trends 5 years in advance. Time travel, anyone? #AI #DataScience #timeseries #trends

Read 11 tweets

I continue to be impressed by the ease of doing machine learning with Pycaret.

This is especially great for #R people that want to learn #Python.

Let me explain...

#DataScience #Rstats

@bizScienc

As many of you know, my primary data science toolkit is #R. ❤️

I've been doing data science in production at @bizScienc and developing open-source R software for over 10 years.

- Modeltime (+4 ecosystem pkgs)
- Timetk
- Tidyquant
- CorrelationFunnel

But, I interact with team members and interface with clients...

and their language of choice is often Python.

It's refreshing that I can quickly switch to Python when needed, and not need to write 5000 lines of #ScikitLearn code to do basic machine learning.

Read 5 tweets

McHeartley Rugambwa

@McHeartley19

@orfonline

Such a clear-eyed perspective by @orfonline. For developing countries to follow a similar approach I think it will be more of regionalisation globalisation to fully grasp their potential capacities.

https://twitter.com/orfonline/status/1656929703427706882

Many developing countries face similar problems and there's a need for enhancing comprehensive framework and principles to facilitate cross-boarder trade basing on comparative advantages among regional blocks which are coordination,standardisation and simplifications.

@mofURT

Investments in soft and hard infrastructures remains being key for trade and commerce @mofURT data driven approach and digital networks such as Trade information Portals remains being the best global practice to improve trade and commerce @TTCLCorporation.

#AI isn't going to take your data science job.

But the #recession might.

Here's how this trend is unfolding from Big #Tech to the broader job market (and how to prepare)...

#datascience #career

For the better part of a decade, Big #Tech was on a hiring spree.

Companies like #Amazon, #Microsoft, and #Meta overhired. And that's OK when things are going well.

But then 2022 hit and Big Tech had its worst decline since 2008.

And in January 2023, with CEOs seeking to protect their stock prices, companies like:

Amazon,
PayPal, and
Microsoft

...all announced deep cuts to employees.

Read 11 tweets

Data science is evolving.

And the cold, hard fact is: Your Career Is On The Line.

If your projects aren't making it into production, your job has a bullseye on it 🎯

Time to smarten up. Here's how.

#datascience #career #python

Data science is different today than it was in 2022.

Why?

In 2022, companies were OK with hiring 15+ person data science teams...

The "hype" hiring was that AI would solve all problems...

Grow revenues.
Cut Costs.
Make MONEY (aka profit)

Read 16 tweets