#Training Data

Protecting your content from being food for AI? There are some ways to opt out of AI training but it’s probably not what you’re hoping for. See article in @wired “How to Stop Your Data From Being Used to Train AI.” #generativeai #adobecreativecloud #chatgpt #dalle #trainingdata

Comment “Link” to get link of these courses Unlock Your Data Analytics Potential with Free Courses! 🌟 Are you passionate about data analytics and eager to advance your career without spending a dime? We’ve curated the top 3 free data analyst courses that not only provide valuable knowledge but also come with certifications to boost your resume: ✅1. Power PA Data Analyst Professional Certificate by Microsoft: This course offers comprehensive training from industry experts at Microsoft. Learn how to analyze data, create reports, and make data-driven decisions with advanced tools and techniques. ✅2. Data Analyst Professional Certificate by Meta: Dive into data analytics with Meta’s specialised course. Gain insights into the latest data analysis methodologies and tools used by professionals at Meta, and develop skills that are in high demand in the tech industry. ✅3. Data Analyst Capstone Project by IBM: This project-based course from IBM allows you to work on real-world data analysis projects. Get hands-on experience with IBM’s advanced analytics tools and showcase your skills with a recognized certification. To get these free courses link, 1.Share this video 2.Follow @qriocity.in 3.Comment “Link” in comment box Turn on 🔔 notification on this profile & so that you don’t miss our posts. #learnforfree #dataanalytics #careerboost

🔍 Ever wondered what types of data sets you need to train a neural network effectively? Let’s dive into the essentials in this reel! Join our upcoming AI & DataScience cohort at @aifolksorg 🔥 #NeuralNetwork #MachineLearning #AI #DataScience #TrainingData #SupervisedLearning #UnsupervisedLearning #DeepLearning #DataSets #TechEducation [types of datasets, training data, neural network, supervised learning, unsupervised learning, machine learning, AI, data science, image data, text data, time-series data, aifolks, OpenBootcamp ]

comment “data” for FREE 5-Day Data Career Kickstart course to stop wasting time learning the wrong things and start learning the #1 skill hiring managers look for Save for later & follow for more! I used Python in one data job. I used Power BI in another data job. I used SAS in another data job. I used Sisense in another data job. But in ALL data jobs, I’ve used SQL. SQL has been the common denominator to all my data jobs. And it’s absolutely where you should focus 75% of your (tool-based learning in your career as a data analyst. Because it’s the common thread between MOST data jobs no matter the company and industry. Don’t get distracted by all the millions of fancy tools and all of the new trending courses. Keep it simple, and go for the biggest ROI for your time. SQL is old. It’s tried and true. And it’s not going anywhere anytime soon. Here’s my roadmap to get started learning it ⬇️ Month 1: ↳ basics ↳ sorting ↳ filtering ↳ aggregating / grouping ↳ string manipulation ↳ date manipulation ↳ data cleaning Month 2: ↳ joins ↳ CTEs ↳ Subqueries ↳ set operations ↳ window functions Month 3: ↳ case studies ↳ business application ↳ full projects #sql #dataanalytics #datascience #roadmap

What's actually happening? 🤔 If you're a ML/AI beginner and training/test accuracy score is 99%+ you feel like a God More experienced engineers know this is a huge problem that will cost you and your client a lot. Here are the causes 👇🏻 ✅Overfitting – The model memorized the training data instead of learning patterns that work on new, unseen examples. ✅Too many epochs – Training too long lets the model learn noise and tiny quirks instead of useful signals. ✅Small dataset – With little data, it’s easy to remember everything and look “perfect” without actually being good. ✅Evaluating on training data – You’re testing the model on questions it already knows the answers to. ✅Data leakage – Some information from the test set accidentally leaked into training, inflating accuracy. ✅Class imbalance – Predicting the dominant class every time can give high accuracy while still being useless. ✅Model too powerful – A large model with weak regularization can fit anything, including garbage. ✅Bad metric choice – Accuracy alone hides mistakes, uncertainty, and real-world costs of wrong predictions. ✅No regularization – Missing dropout, weight decay, or early stopping lets the model overcommit to training data. ✅No real-world validation – The moment data changes, the “perfect” model breaks because it learned shortcuts. Going from volatile models to production powerhouse is what sets you from learner to earner in ML/AI. If you want to learn how to do it, follow @codingmermaid.ai and comment SYSTEM

Comment "certificate" and I'll DM you all the links 5 certifications that'll actually get you hired in data in 2026. Not the overrated ones everyone talks about, these are the ones recruiters actually recognize and most of them are completely free. But here's what nobody tells you: certifications open the door, but projects get you the job. So, build something real, put it on GitHub, and talk about it in interviews. That's what separates you from 500 other applicants. Comment "certificate" and I'll DM you all the links Save this and share this with someone who wants to enter data analytics in 2026. [certifications, data, hired, free, google, ibm, microsoft, kaggle, meta, sql, python, tableau, power bi, coursera, analytics, resume, recruiter, projects, github, linkedin, career, interview, dashboard, machine learning, 2026, trending, fyp, viral] #dataanalytics #techcareers #freecourses #datascience #learntocode

3 Data Analytics Certifications for Free. SAVE for future ✅ Complete them to build a strong resume. 1. Introduction to Data Analytics - 2 hrs 2. Exploratory Data Analysis - 1.5 hrs 3. Data Analytics with Python - 8 hrs I upload important links on my Broadcast channel. Link in bio 🔗 Direct link👇 🌟Comment 👉 " link" 🔏 Bookmark for Future Access! 📲 🔶 Share with Others ❤ Follow @tricky_world23 for more such reels 🙌❤ . #Student #Free #IT #careercoach #careerhelp tech Course

In machine learning, training data teaches the model patterns. But we can’t judge the model using the same data it learned from. Why? Because the model might simply memorize the answers. If we evaluate on training data, the model may look perfect — but fail on new, unseen data. That’s where test data comes in. Test data is kept separate and unseen during training. It checks whether the model truly learned patterns or just memorized examples. Training data → teaches the model Test data → challenges the model Real intelligence is not remembering the past. It’s handling something new. #MachineLearning #AI #ModelEvaluation #TrainingData #TestData DataScience GenAI AIEngineering EngineerBeatsAI

🚀 2-Month Roadmap to Data Analyst Mastery 📊 👉 SAVE THIS to become data Pro! 👈 Otherwise, you’ll miss out on learning how to become an SQL Expert! Month 1: Week 1-2: 📚 Foundation Building: • Master the basics of statistics, SQL, and Python/R through online courses and tutorials. Focus on understanding data structures and manipulation. Week 3-4: 🔍 Dive into Data Exploration: • Practice data analysis techniques using datasets from platforms like Kaggle. Learn to clean, preprocess, and visualize data to extract meaningful insights. Month 2: Week 1-2: 💼 Real-world Applications: • Engage in hands-on projects or internships to apply your skills to real business problems. Collaborate with peers and seek feedback to refine your approach. Week 3-4: 📈 Advanced Techniques: • Explore advanced topics such as machine learning algorithms, predictive modeling, and data storytelling. Experiment with different tools and techniques to enhance your analytical capabilities. 🎓 Congratulations! You’ve completed your 2-month journey to becoming a proficient data analyst. Remember to stay curious, keep learning, and embrace challenges as opportunities for growth. #DataAnalyst #CareerGrowth #DataSkills 🌟 #sqldatabase #sqlite #datascientist #datasciences #sqltraining #sqlinterview #dataanalystics #dataanalysis

I did 83 data analytics courses. Here are the 5 that got me a 100% salary hike🤯 I started with zero tech experience. No mentor. No fancy college. Just confusion❌ ✅ALL LINKS IM BIO! Follow @onestopdata They helped me land interviews, build real projects, and get a 100% salary hike.✅ ➡️Excel Fundamentals Course by DataCamp Everyone underestimates Excel. I did too.But this is exactly where you should start. ➡️Data Analyst in PowerBI course This course is practical, beginner-friendly, and gets you building fast. Link is in Bio ➡️SQL - Associate Data Analyst in SQL The one skill every analyst needs. If you’re not learning SQL, you’re skipping job opportunities. ➡️Data Analyst in Python (DataCamp) Once I was confident with Excel and SQL, Python opened new doors. The course I followed helped me clean messy datasets and automate parts of my analysis ✅Finally, a Data Analyst Certification This wasn’t just another certificate.The projects, assessments, and feedback gave me a sense of what the job would actually be like. I didn’t land a job because I did the most courses - I landed it because I focused on the right ones.🫡 For my resume template and project list- Check links in BIO Let’s make your transition smoother (and faster) than mine. ✅ ALL LINKS IN BIO #dataanalytics #onestopdata #datascience #dataanalyst #data #dataanalyst #excel #jobs #projects #money

Data analytics is a huge part of my PhD but you don’t even need a technical degree to get started 👩🏾‍💻📈 So as part of my ‘learn to code’ series I’m excited to share this course by @syntaxtechs ✨️COURSE DETAILS✨️ 💡Name: Data Analytics and Business Intelligence Course 💡Contents: trains people with little to no programming background to become data professionals that combine analytical skills and programming skills - using data manipulation, data visualization, data cleansing and much more to make sense of real-world data sets and create data dashboards/visualizations to share your findings. 💡Length: 3.5 months 💡By: @syntaxtechs Additionally, they will prep you for interviews/ hold mock interviews/ and connect you to real companies (an amazing bonus) 🔑 The course ensures students learn the required technical skills across: 🔹️SQL 🔹️Python 🔹️Power BI 🔹️Tableau 🔹️ETL 💭 are you interested in getting started in or already in the world of data analytics? Link in my bio to try out the data analytics course by syntax technologies.. ✨️ . . @thephdstudent #dataanalytics #dataanalysistraining #learndataanalytics #businessintelligencetraining #datascience #datascientist #datasciencetraining #dataanalysis #dataanalytic #dataanalyticscourse #data #dataanalyticstraining #businessintelligence #analytics #dataanalysiscourse #dataanalyticscertification #dataanalyst #technology #datasciencecourse #businessintelligencecourse #datavisualization #bigdataanalytics #bigdata #syntaxtechs

Week - 2 learning of Data Analytics 🤍 I hope all of you are genuinely giving your best in learning this skill 🤍 . . [ career , focus , mindset , skill , high - paying , abroad , explore , reel , relatable , viral , knowledge , growth , success ]