#Coding For Data Analysis

Repost to share with friends ♻️ Here’s how to become a data analyst in 2026 and beyond? 📈 The original video was 5 minutes long and I had to cut it down to 3 minutes because instagram. One part that got cut off was the job market. Should I post a part 2? what are other skills that would you add to the list?? #dataanalysis #dataanalyst #sql #python

Comment “project” for my full video that breaks each of these projects down in detail with examples from my own work. If you’re using the Titanic, Iris, or COVID-19 dataset for data analytics projects, STOP NOW! These are so boring and over used and scream “newbie”. You can find way more interesting datasets for FREE on public data sites and you can even make your own using ChatGPT or Claude! Here are the 3 types of projects you need: ↳Exploratory Data Analysis (EDA): Exploring a dataset to uncover insights through descriptive statistics (averages, ranges, distributions) and data visualization, including analyzing relationships between variables ↳Full Stack Data Analytics Project: An end-to-end project that covers the entire data pipeline: wrangling data from a database, cleaning and transforming it. It demonstrates proficiency across multiple tools, not just one. ↳Funnel Analysis: Tracking users or items move from point A to point B, and how many make it through each step in between. This demonstrates a deeper level of business thinking by analyzing the process from beginning to end and providing actionable recommendations to improve it Save this video for later + send to a data friend!

People think data analytics = intense coding. It’s really not. Anyone can learn it, and you lose nothing by trying! Most people feel empowered and inspired after running their first line of code within 20 minutes. It’s a powerful feeling. #dataanalytics #careerchange #techtransition #breakintotech #quityourjob #startyourcareer #jobsearch #linkedintips #highincomeskills

If I was a beginner learning to code, I would use this 90 day roadmap step by step for beginners 💪 #coding #codingforbeginners #learntocode #computerscience #programming

FREE Data Analytics learning resources. Seriously, start here before paying for any courses. These are FREE & a great introduction for any skill you want to learn. - SQL: https://www.youtube.com/watch?v=7S_tz1z_5bA - Excel: https://www.youtube.com/watch?v=pCJ15nGFgVg - Tableau: https://www.youtube.com/watch?v=aHaOIvR00So - Python: https://www.youtube.com/watch?v=LHBE6Q9XlzI #dataanalytics #dataanalyst #datascience #womenintech #aiengineering #techcareers

Data Analysis with ChatGPT part 1 📈 Follow @sundaskhalidd for part 2 💕 Have you tried using ChatGPT for date analysis? Let me know if you have any cool hacks 👇🏽 also, let me know if you want me to cover any data analysis technique next 😀 Follow @sundaskhalidd for data science, tech and career educational content✨ Tags 🏷️ #python #learnpython #datavisualization #googlecolab #dataanalysis #programming #codinglife💻 #sql #softwareengineer learntocode #datascience #dataanalyst #datascientist #datacareer

Every line of code you write is a step closer to your dream. It’s okay to feel stuck — that’s where real learning begins. You don’t need to be perfect, just consistent every single day. Remember, even the best developers started with zero. Keep building, keep learning — your future is loading. 🚀#ahsan.codes #projects#supabase #webdevelopers #coder

📍Learning to code and becoming a data scientist without a background in computer science or mathematics is absolutely possible, but it will require dedication, time, and a structured approach. ✨👌🏻 🖐🏻Here’s a step-by-step guide to help you get started: 1. Start with the Basics: - Begin by learning the fundamentals of programming. Choose a beginner-friendly programming language like Python, which is widely used in data science. - Online platforms like Codecademy, Coursera, and Khan Academy offer interactive courses for beginners. 2. Learn Mathematics and Statistics: - While you don’t need to be a mathematician, a solid understanding of key concepts like algebra, calculus, and statistics is crucial for data science. - Platforms like Khan Academy and MIT OpenCourseWare provide free resources for learning math. 3. Online Courses and Tutorials: - Enroll in online data science courses on platforms like Coursera, edX, Udacity, and DataCamp. Look for beginner-level courses that cover data analysis, visualization, and machine learning. 4. Structured Learning Paths: - Follow structured learning paths offered by online platforms. These paths guide you through various topics in a logical sequence. 5. Practice with Real Data: - Work on hands-on projects using real-world data. Websites like Kaggle offer datasets and competitions for practicing data analysis and machine learning. 6. Coding Exercises: - Practice coding regularly to build your skills. Sites like LeetCode and HackerRank offer coding challenges that can help improve your programming proficiency. 7. Learn Data Manipulation and Analysis Libraries: - Familiarize yourself with Python libraries like NumPy, pandas, and Matplotlib for data manipulation, analysis, and visualization. For more look at the comment ⤵️ . . . #datascience #computerscience #datascientist #dataanalytics #dataanalyticstraining #python #softwaredeveloper #dataanalysis #bigdata #generativeai #codingbootcamp #businesswoman #veribilimi #codemotivation

Choose your project here ↓↓ 💻 ⊹ ࣪ ˖ Save this post for later! ⊹ ࣪ ˖ 💖 GAME DEALS SCRAPER Subject: Scraping Tools: Python, BeautifulSoup, simple web app (Flask) Instructions: Scrape game prices from a website. Display them in a small web dashboard. Add filters (genre, price). Bonus: highlight best deals. 💝 PLAYER STATS DASHBOARD Subject: Data analysis Tools: Python (Pandas), JavaScript, Chart.js Instructions: Use a public game dataset (players, scores, matches). Analyze it. Build a web page to visualize stats (top players, trends). 💞 DAILY REWARD COLLECTOR Subject: Automation Tools: Python (Selenium), simple web interface Instructions: Automate daily login rewards for a game site. Create a small web UI to trigger and track actions. Show logs of collected rewards. 💓 MINI BROWSER GAME + SCORE API Subject: Full mini project Tools: HTML, CSS, JavaScript, simple backend (Node.js) Instructions: Build a simple browser game (clicker or reflex game). Store scores with an API. Display a leaderboard on your site. ⊹ ࣪ ˖ Follow @b.telgeuse for more coding projects! ⊹ ࣪ ˖ [coding, programmation, tech, informatique, computer science, student, coding tips] #codingtips #computersciencestudent #womenintech

How to quickly understand code using ai #code #ai #howto

Comment ‘Projects’ to get 5 Data Scientist Project ideas and a plan 👩🏻‍💻 ♻️ repost to share with friends. Here is how to become a data scientist in 2026 and beyond 📈 the original video was 4 min Andi had to cut it down to 3 because instagram. Should I do a part 3v what are other skills that you would add to the list and let me know what I should cover in the next video 👩🏻‍💻 #datascientist #datascience #python #machinelearning #sql #ai

3 AI tools you need if you hate doing data analysis work! Of course, this is AI so please exercise critical thinking with AI generated reports or analysis #dataanalysis #aitools