Mobile App Design in Figma: From Concept to Prototype

A step-by-step guide to creating your mobile app design in Figma

Rating ⭐️: 4.5 ⭐️ (686 reviews)
Students 👨‍🎓 : 39,727
Duration ⏰ : 5 hour, 49 lectures
Created by 👨‍🏫: Anton Voroniuk, Željko Milivojević

🔗 COURSE LINK

❗️Coupon code: 06AUGUST2025❗️

⚠️ Its free for first 1000 enrollments only!


#chatgpt #prompting
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Data Engineers – Don’t Just Learn Tools. Learn This:

So you’re learning:
– Spark ✅
– Airflow ✅
– dbt ✅
– Kafka ✅

But here’s a hard truth 👇
🧠 Tools change. Principles don’t.

Top 1% Data Engineers focus on:

🔸 Data modeling – Understand star vs snowflake, SCDs, normalization.
🔸 Data contracts – Build reliable pipelines, not spaghetti code.
🔸 System design – Think like a backend engineer. Learn how data flows.
🔸 Observability – Logging, metrics, lineage. Be the one who finds data bugs.

💥 Want to level up? Do this:
✅ Build a mini data warehouse from scratch (on DuckDB + Airflow)
✅ Join open-source data eng projects
✅ Read “The Data Engineering Cookbook” (free)

📈 Don’t just run pipelines. Architect them.

SQL/MySQL Learning Series: Day 9️⃣
🔹 INSERT INTO – Adding Data

🧩 Last time, we built our table using CREATE TABLE.
Now it’s time to breathe life into it by adding real data using INSERT INTO! 🚀

---

📌 Let’s add employees to our employees table:

INSERT INTO employees (id, name, department, salary, hire_date)
VALUES (1, 'Alice', 'IT', 72000.00, '2022-03-01');

You can also insert multiple rows in one go:

INSERT INTO employees VALUES
(2, 'Bob', 'HR', 55000.00, '2021-11-15'),
(3, 'Charlie', 'Finance', 60000.00, '2023-01-10'),
(4, 'Diana', 'IT', 80000.00, '2020-08-22');

---

📊 Here's how our table looks now:

+----+---------+------------+----------+------------+
| id | name    | department | salary   | hire_date  |
+----+---------+------------+----------+------------+
| 1  | Alice   | IT         | 72000.00 | 2022-03-01 |
| 2  | Bob     | HR         | 55000.00 | 2021-11-15 |
| 3  | Charlie | Finance    | 60000.00 | 2023-01-10 |
| 4  | Diana   | IT         | 80000.00 | 2020-08-22 |
+----+---------+------------+----------+------------+

---

✅ Pro Tip: Always match values to column order and data types to avoid errors.

Next: We’ll learn how to retrieve this data with SELECT 🔍

#SQL #MySQL #SqlLearningSeries
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Pro tip:
Use desktop app when reading our SQL Series. Table view breaks on mobile.
For those who don't use Desktop, here is the image 👆

Also please make sure to react to post if you like it so we can know in which direction we should go. Thank you 🤗

Free SQL and MySQL Courses

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SQL Course for Beginners [Full Course]
🎬 Video lesson
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Learn SQL for working with databases, using Google BigQuery.
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Part of CS50x  - Week 7 SQL
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Tutorials
Introduction to SQL
SQL Tutorial W3school
An Guide to SQL for Beginners
SQL Tutorial - Essential SQL For The Beginners
SQL Tutorial for Beginners: Learn SQL in 7 Days

Notes & Cheat Sheets
SQL Notes PDF
SQL cheat sheet
SQL Basics Cheat Sheet
SQL Commands Cheat Sheet
SQL Queries Cheat Sheet

Books
An Introduction to SQL, by Bobby Iliev
Introduction to SQL, by Launch School
MySQLTutorial, docs
MySQL tutorial, zeetcode
MySQL Essentials, Techotopia
MySQL Notes for professionals

#database #sql #mysql #rdbms
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How to Become a Rare Unicorn in Data Roles 🦄💼

You want to stand out in a sea of 10,000 data resumes?

📌 Do this instead of adding another ML course:

1️⃣ Know the business you’re applying to.
– Finance? Learn about fraud, churn, LTV.
– E-commerce? Learn about funnels, A/B tests.
– SaaS? Learn user segmentation, CAC, retention.

2️⃣ Write a case study on YOUR OWN.
🧪 Example:
– Scrape product prices
– Predict demand with simple regression
– Show a dashboard
– Share on GitHub & LinkedIn

3️⃣ Pair up with a friend who does design/product
– Build a mock analytics dashboard for a fake startup.
– You provide data insights. They design UI.

🧠 You won’t just be a "Data Scientist".
You’ll be a Data Product Thinker. And that’s rare.

🔥 Your skills + their problems = unstoppable combo.


#datascience #portfolio

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SQL/MySQL Learning Series: Day 🔟
🔹 SELECT – Retrieving Data

🧠 In the last lesson, we populated our employees table with data using INSERT INTO.

Now, let’s learn how to *read* that data using SELECT – the most used command in SQL!

---

📌 Fetch all columns and all rows:

SELECT * FROM employees;

Result:

+----+---------+------------+----------+------------+
| id | name    | department | salary   | hire_date  |
+----+---------+------------+----------+------------+
| 1  | Alice   | IT         | 72000.00 | 2022-03-01 |
| 2  | Bob     | HR         | 55000.00 | 2021-11-15 |
| 3  | Charlie | Finance    | 60000.00 | 2023-01-10 |
| 4  | Diana   | IT         | 80000.00 | 2020-08-22 |
+----+---------+------------+----------+------------+

---

📌 Fetch specific columns only:

SELECT name, salary FROM employees;

Result:

+---------+----------+
| name    | salary   |
+---------+----------+
| Alice   | 72000.00 |
| Bob     | 55000.00 |
| Charlie | 60000.00 |
| Diana   | 80000.00 |
+---------+----------+

---

🛠 Use SELECT when you want to explore, filter, or analyze your data. It’s your primary lens into the database.

Next: We’ll UPDATE data like pros 🔁💥


#SQL #MySQL #SqlLearningSeries
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How to Perfom Large-Scale Image Classification

🏃‍♂ Self-paced
⏰ 54 minutes
Instructor👨‍🏫: NVIDIA Developer

🔗 Course Link

#imageclassification #computervision
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