Hello X I’m Felix Asibor — book writer, crypto & Forex trader, now transitioning into tech as a Data Analyst. 📊 Bringing my love for insights & strategy into the data world. Let’s connect, #DataFam! 🚀✨ #DataAnalytics #CareerTransition #CryptoTraderToDataAnalyst

Day 12 of #100DaysofDataAnalytics Check out the BMI calculator I built. I used the knowledge I've shared here to build it. Link:

Day 11 of #100DaysofDataAnalytics I'm currently building a BMI calculator and will share, once done Stay tuned.....

For Day 10 of #100DaysOfDataAnalytics, I'm reflecting on what I've studied so far and going through my notes to solidify what I've learnt. Up next, I'll be building a BMI calculator. Stay Tuned

Functions + range = clean, reusable, and efficient code — a major level-up for data analytics tasks like automation, transformations, and calculations. On to Day 10! #Python #DataAnalytics #100DaysOfCode #LearningInPublic

6. range() Inside a Function

5. The range() Function Used to generate a sequence of numbers — often used with loops.

4. Returning Values Functions can return data back to you using return.

3. Functions With Default Values

2. Functions With Parameters

1. What Are Functions? Functions let you group reusable blocks of code — helping you avoid repetition and write cleaner programs.

Day 9 of #100DaysOfDataAnalytics Today I learned about Functions in Python and how the powerful range() function works inside them. 🧵 Thread ↓

Yesterday was supposed to be Day 9 of #100DaysofDataAnalytics but there was power outage throughout. So, we continue today again.

for loops are essential for data cleaning, iteration, automation, and analyzing datasets — core skills for data analytics. On to Day 9! #Python #DataAnalytics #100DaysOfCode #LearningInPublic

3. We can loop through string 4. Loop through Dictionary 5. We can have a look inside another loop

1. Basic for Loop Used to repeat actions over a sequence (list, tuple, string, etc.) 2. Looping With range() Great for running a loop a specific number of times.

Day 8 of #100DaysOfDataAnalytics Today I focused on Python for loops — one of the most powerful tools for iterating through data. 🧵 Thread ↓

These structures help programs make decisions and repeat tasks. They are key skills for writing cleaner logic in data projects. On to Day 8! #Python #DataAnalytics #100DaysOfCode #LearningInPublic

3. while Loop Runs repeatedly as long as the condition remains True.

2. Nested if Statements An if inside another if. Useful for multiple layers of conditions.

1. if-else Statement Used when we want the program to choose between two actions.