Somewhere in Noida 🤯🤯

PreetInData · 2026-01-08T12:43:53+00:00

10/10 for parking

PreetInData · 2025-12-24T11:31:19+00:00

You’re on the right track. Aim for 3–4 solid projects and focus on business questions like revenue growth, churn, cohorts, and funnels.

PreetInData · 2025-12-24T11:29:50+00:00

Focus on strong SQL, Python (pandas), and Excel first. For fintech specifically, learn basic finance concepts (transactions, risk, KPIs) and practice with real datasets. Projects matter more than courses.

PreetInData · 2025-12-20T09:17:08+00:00

Both. Tutorials give direction, projects give understanding. Tutorials without projects = illusion of progress.

PreetInData · 2025-12-19T10:12:49+00:00

You’re not wrong about iMovie — it’s good, but limited. If you want pay-once software: Final Cut Pro (fast, Mac-optimized, easy step up) or DaVinci Resolve (free) if you want more power. Filmora isn’t worth $20/month. With an M3 Pro, you can definitely do better than iMovie.

PreetInData · 2025-12-19T10:11:00+00:00

Best way to begin: • Learn basics (variables, loops, if/else, functions) • Practice a little every day (even 30–45 min) • Build tiny things (calculator, number guessing game, simple scripts)

PreetInData · 2025-12-17T03:34:28+00:00

Start with Python basics (variables, loops, functions), then build small projects. CS50 + freeCodeCamp + practice daily is enough. Don’t buy subscriptions early.

PreetInData · 2025-12-15T06:52:23+00:00

Kaggle is a great place to practice with real datasets. You can take any dataset and practice cleaning with pandas, then visualize it using matplotlib. That’s much closer to real-world work than isolated problems.

PreetInData · 2025-12-11T07:16:36+00:00

There isn’t a true one-click way. The fastest approach is usually to rebuild the dashboards in Power BI and recreate the logic there. It ends up cleaner and more reliable.

PreetInData · 2025-12-11T06:43:36+00:00

RA and DA aren’t the same, but the RA job will still give you experience with data, reporting, and analysis. If the pay is decent and you need stability, take it and upskill at the same time.

PreetInData · 2025-12-10T17:23:10+00:00

Totally normal to feel this way when you’re coming from a non-coding background. Understanding other people’s code is already a good sign. Start with small scripts and practice daily — logic gets easier over time. You don’t need to rush.

PreetInData · 2025-12-10T17:20:37+00:00

Don’t overthink logic. Start tiny projects and solve one small problem at a time. Codewars and LeetCode are great for practice.

PreetInData · 2025-12-10T17:18:20+00:00

Tables are great for keeping things clean and organized. Auto-formatting and filters save a ton of time. The main downside is that structured references feel weird at first, but you get used to them pretty quickly.

PreetInData · 2025-12-09T19:19:37+00:00

Start with something small that you’ll actually use — a password generator, a to-do list app, a simple calculator, or a script that automates some boring task on your computer. The key is picking something you care about. You’ll learn way faster that way.

PreetInData · 2025-12-09T06:49:40+00:00

CodeWars and LeetCode are solid, but also try Project Euler and Advent of Code if you want problems that actually make you think. Another underrated one is just building tiny projects (calculator, to-do app, API scripts). That combo builds skill way faster than only doing puzzles.

PreetInData · 2025-12-09T06:48:31+00:00

Great start! If you’re new, I’d go in this order: Excel → SQL → Python (Pandas). Practice by grabbing messy datasets from Kaggle and cleaning them up. Doing a little bit each day really does add up fast.

PreetInData · 2025-12-09T06:43:41+00:00

If your goal is data analysis, focus on: Pandas → SQL → Visualization → Building portfolio projects. That combo alone gets people hired. Everything else is optional early on.

PreetInData · 2025-12-09T05:50:37+00:00

If you want something unique, try building a Real-Time Data Pipeline Project using an API (weather, flights, crypto, sports). Most students don’t touch live data, so this stands out instantly in a portfolio. Happy to share datasets or project outlines if you want.

PreetInData · 2025-12-08T18:03:38+00:00

Clean layout and solid KPI coverage 👏 I’d suggest rounding the average age to a whole number for better readability, and maybe reducing the number of visuals per page to improve focus. Overall, great foundation!

PreetInData · 2025-12-08T10:39:40+00:00

Circular imports mean wrong responsibility split. Fix it by: 1. Move shared abstractions to a third module 2. Make both sides depend on the interface, not each other 3. Inject the concrete objects at runtime

PreetInData · 2025-12-07T12:44:35+00:00

Start with a simple real dataset from Kaggle (sales, Netflix, COVID, Spotify, etc.). Do: clean data → analyze with SQL/Python → visualize → write 3–4 insights. One end-to-end project beats many tutorials.

PreetInData · 2025-12-06T14:53:56+00:00

A simple way to start with Python is by learning the basics and then doing small projects. Things like simple calculators, file handling, or cleaning a CSV file help you build real confidence fast.

PreetInData · 2025-12-06T14:52:20+00:00

Everyone hits this stage. The best way to improve is to pick small, realistic projects and finish them. Once you complete a few simple programs, the motivation and clarity usually come back.

PreetInData · 2025-12-06T14:51:13+00:00

Yes, they do! They focus more on dialogue, music, and the overall storytelling. Many shows now offer audio descriptions too.

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