How many times did you stop in the middle of a task today just to figure out how to do it? ➥You opened a new tab. ➥You typed "how do I…" ➥You first watched a video. ➥You then half-remembered the steps. ➥You came back and it didn’t work. We all do this. Every day. And nobody ever stops to ask why. But today we did. And we fixed it. (drumroll…) Meet Guidy. 😊 Guidy is an AI assistant that sits inside any software you use (any language, any website, any app) and walks you through whatever you're trying to do. ➥In real time. ➥Step by step. ➥Right where you are. ➥Pointing at your screen. No tabs. No videos. No "wait, what menu was it." It's that simple. You just don't think of it until you see it. Try Guidy → https://bit.ly/4xwxmKK

Nasser's story is one of many. With the right tools, structure, and support, real career change into AI and data is possible. You could be next! All courses and career paths are 100% online and self-paced. 😊 Start your 365 Data Science’s training program now: https://bit.ly/4m17v8k. . . . 𝐃𝐨𝐧’𝐭 𝐟𝐨𝐫𝐠𝐞𝐭 𝐭𝐨 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 𝐰𝐢𝐭𝐡 𝐮𝐬 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐥𝐚𝐭𝐞𝐬𝐭 𝐀𝐈 𝐚𝐧𝐝 𝐝𝐚𝐭𝐚 𝐬𝐜𝐢𝐞𝐧𝐜𝐞 𝐮𝐩𝐝𝐚𝐭𝐞𝐬, 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐭𝐢𝐩𝐬, 𝐜𝐚𝐫𝐞𝐞𝐫 𝐚𝐝𝐯𝐢𝐜𝐞, 𝐚𝐧𝐝 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬! https://www.facebook.com/365DataScience https://www.instagram.com/365datascience/ https://www.linkedin.com/school/365datascience/

Melina’s story is one of many. With the right tools, structure, and support, real career change into AI and data is possible. You could be next! All courses and career paths are 100% online and self-paced. 😊 Start your 365 Data Science’s training program now: https://bit.ly/4m17v8k. . . . 𝐃𝐨𝐧’𝐭 𝐟𝐨𝐫𝐠𝐞𝐭 𝐭𝐨 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 𝐰𝐢𝐭𝐡 𝐮𝐬 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐥𝐚𝐭𝐞𝐬𝐭 𝐀𝐈 𝐚𝐧𝐝 𝐝𝐚𝐭𝐚 𝐬𝐜𝐢𝐞𝐧𝐜𝐞 𝐮𝐩𝐝𝐚𝐭𝐞𝐬, 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐭𝐢𝐩𝐬, 𝐜𝐚𝐫𝐞𝐞𝐫 𝐚𝐝𝐯𝐢𝐜𝐞, 𝐚𝐧𝐝 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬! https://www.facebook.com/365DataScience https://www.instagram.com/365datascience/ https://www.linkedin.com/school/365datascience/

Leigh’s story is one of many. With the right tools, structure, and support, real career change into AI and data is possible. You could be next! All courses and career paths are 100% online and self-paced. 😊 Start your 365 Data Science’s training program now: https://bit.ly/4m17v8k. . . . 𝐃𝐨𝐧’𝐭 𝐟𝐨𝐫𝐠𝐞𝐭 𝐭𝐨 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 𝐰𝐢𝐭𝐡 𝐮𝐬 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐥𝐚𝐭𝐞𝐬𝐭 𝐀𝐈 𝐚𝐧𝐝 𝐝𝐚𝐭𝐚 𝐬𝐜𝐢𝐞𝐧𝐜𝐞 𝐮𝐩𝐝𝐚𝐭𝐞𝐬, 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐭𝐢𝐩𝐬, 𝐜𝐚𝐫𝐞𝐞𝐫 𝐚𝐝𝐯𝐢𝐜𝐞, 𝐚𝐧𝐝 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬! https://www.facebook.com/365DataScience https://www.instagram.com/365datascience/ https://www.linkedin.com/school/365datascience/

Abhinav’s story is one of many. With the right tools, structure, and support, real career change into AI and data is possible. You could be next! All courses and career paths are 100% online and self-paced. 😊 Start your 365 Data Science’s training program now: https://bit.ly/4m17v8k. . . . 𝐃𝐨𝐧’𝐭 𝐟𝐨𝐫𝐠𝐞𝐭 𝐭𝐨 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 𝐰𝐢𝐭𝐡 𝐮𝐬 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐥𝐚𝐭𝐞𝐬𝐭 𝐀𝐈 𝐚𝐧𝐝 𝐝𝐚𝐭𝐚 𝐬𝐜𝐢𝐞𝐧𝐜𝐞 𝐮𝐩𝐝𝐚𝐭𝐞𝐬, 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐭𝐢𝐩𝐬, 𝐜𝐚𝐫𝐞𝐞𝐫 𝐚𝐝𝐯𝐢𝐜𝐞, 𝐚𝐧𝐝 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬! https://www.facebook.com/365DataScience https://www.instagram.com/365datascience/ https://www.linkedin.com/school/365datascience/

Jaroslav’s story is one of many. With the right tools, structure, and support, real career change into AI and data is possible. You could be next! All courses and career paths are 100% online and self-paced. 😊 Start your 365 Data Science’s training program now: https://bit.ly/4m17v8k. . . . 𝐃𝐨𝐧’𝐭 𝐟𝐨𝐫𝐠𝐞𝐭 𝐭𝐨 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 𝐰𝐢𝐭𝐡 𝐮𝐬 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐥𝐚𝐭𝐞𝐬𝐭 𝐀𝐈 𝐚𝐧𝐝 𝐝𝐚𝐭𝐚 𝐬𝐜𝐢𝐞𝐧𝐜𝐞 𝐮𝐩𝐝𝐚𝐭𝐞𝐬, 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐭𝐢𝐩𝐬, 𝐜𝐚𝐫𝐞𝐞𝐫 𝐚𝐝𝐯𝐢𝐜𝐞, 𝐚𝐧𝐝 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬! https://www.facebook.com/365DataScience https://www.instagram.com/365datascience/ https://www.linkedin.com/school/365datascience/

Pedro's story is one of many. With the right tools, structure, and support, real career change into AI and data is possible. You could be next! 😊 All courses and career paths are 100% online and self-paced. Start your 365 Data Science’s training program now: https://bit.ly/4m17v8k. . . . 𝐃𝐨𝐧’𝐭 𝐟𝐨𝐫𝐠𝐞𝐭 𝐭𝐨 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 𝐰𝐢𝐭𝐡 𝐮𝐬 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐥𝐚𝐭𝐞𝐬𝐭 𝐀𝐈 𝐚𝐧𝐝 𝐝𝐚𝐭𝐚 𝐬𝐜𝐢𝐞𝐧𝐜𝐞 𝐮𝐩𝐝𝐚𝐭𝐞𝐬, 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐭𝐢𝐩𝐬, 𝐜𝐚𝐫𝐞𝐞𝐫 𝐚𝐝𝐯𝐢𝐜𝐞, 𝐚𝐧𝐝 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬! https://www.facebook.com/365DataScience https://www.instagram.com/365datascience/ https://www.linkedin.com/school/365datascience/

𝗦𝗶𝗴𝗻 𝘂𝗽 𝗳𝗼𝗿 𝗼𝘂𝗿 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴—𝐦𝐚𝐬𝐭𝐞𝐫 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐒𝐐𝐋, 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐝𝐚𝐭𝐚 𝐯𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧, 𝐚𝐧𝐝 𝐜𝐨𝐫𝐞 𝐬𝐤𝐢𝐥𝐥𝐬 𝐢𝐧 𝐬𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬 𝐚𝐧𝐝 𝐝𝐚𝐭𝐚 𝐡𝐚𝐧𝐝𝐥𝐢𝐧𝐠—𝐞𝐯𝐞𝐫𝐲𝐭𝐡𝐢𝐧𝐠 𝐲𝐨𝐮 𝐧𝐞𝐞𝐝 𝐭𝐨 𝐥𝐚𝐮𝐧𝐜𝐡 𝐲𝐨𝐮𝐫 𝐜𝐚𝐫𝐞𝐞𝐫: https://bit.ly/4pnP53c ChatGPT is powerful—but only if you know how to talk to it. In this video, we share 10 essential ChatGPT commands that will completely change the way you work with AI. You’ll learn how to: • Continue conversations when ChatGPT cuts off. • Get clearer, more detailed answers when you need them. • Rephrase and summarize text for emails, reports, or social media. • Brainstorm ideas and roleplay real-life scenarios, … and much more. Whether you’re writing, studying, coding, or preparing a big presentation, these must-know commands will save you time, boost your productivity, and help you get the most out of ChatGPT. Watch until the end to discover all 10 commands, and let us know in the comments which one you’ll try first! 𝐃𝐨𝐧’𝐭 𝐟𝐨𝐫𝐠𝐞𝐭 𝐭𝐨 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 𝐰𝐢𝐭𝐡 𝐮𝐬 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐥𝐚𝐭𝐞𝐬𝐭 𝐀𝐈 𝐚𝐧𝐝 𝐝𝐚𝐭𝐚 𝐬𝐜𝐢𝐞𝐧𝐜𝐞 𝐮𝐩𝐝𝐚𝐭𝐞𝐬, 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐭𝐢𝐩𝐬, 𝐜𝐚𝐫𝐞𝐞𝐫 𝐚𝐝𝐯𝐢𝐜𝐞, 𝐚𝐧𝐝 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬! https://www.facebook.com/365DataScience https://www.instagram.com/365datascience/ https://www.linkedin.com/school/365datascience/

𝗦𝗶𝗴𝗻 𝘂𝗽 𝗳𝗼𝗿 𝗼𝘂𝗿 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴—𝐦𝐚𝐬𝐭𝐞𝐫 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐒𝐐𝐋, 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐝𝐚𝐭𝐚 𝐯𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧, 𝐚𝐧𝐝 𝐜𝐨𝐫𝐞 𝐬𝐤𝐢𝐥𝐥𝐬 𝐢𝐧 𝐬𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬 𝐚𝐧𝐝 𝐝𝐚𝐭𝐚 𝐡𝐚𝐧𝐝𝐥𝐢𝐧𝐠—𝐞𝐯𝐞𝐫𝐲𝐭𝐡𝐢𝐧𝐠 𝐲𝐨𝐮 𝐧𝐞𝐞𝐝 𝐭𝐨 𝐥𝐚𝐮𝐧𝐜𝐡 𝐲𝐨𝐮𝐫 𝐜𝐚𝐫𝐞𝐞𝐫: http://bit.ly/4fS4HaL Build a Data Science Portfolio That Gets You Hired! Your data science portfolio is more than just code—it’s your professional story. In this video, we’ll show you exactly how to create a portfolio that highlights your problem-solving skills, demonstrates real-world impact, and helps you stand out in job applications. What you’ll learn in this video: ✔️ What makes a great portfolio (and common mistakes to avoid) ✔️ Step-by-step process to build a portfolio that impresses employers ✔️ Project ideas for Data Analysts, Data Scientists, and AI Engineers ✔️ How to showcase your technical skills (Python, SQL, Tableau, ML frameworks, Git, and more) ✔️ The importance of communication and storytelling in your projects ✔️ Best platforms to publish and share your portfolio (GitHub, personal website, LinkedIn, Kaggle, etc.) ✔️ Trending portfolio projects for 2025—from Conversational AI to Sustainable AI Whether you’re a beginner or already working in the field, this guide will give you a clear roadmap to building a portfolio that sets you apart in the data science job market. Pro tip: Explore the 365 Data Science Project Library to kickstart your portfolio with real-world, beginner-to-advanced projects: https://bit.ly/4fRCfG7 And if you want to level up your communication skills, check out our Communication and Presentation Skills for Analysts and Managers course: https://bit.ly/4fODPYZ 𝐃𝐨𝐧’𝐭 𝐟𝐨𝐫𝐠𝐞𝐭 𝐭𝐨 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 𝐰𝐢𝐭𝐡 𝐮𝐬 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐥𝐚𝐭𝐞𝐬𝐭 𝐀𝐈 𝐚𝐧𝐝 𝐝𝐚𝐭𝐚 𝐬𝐜𝐢𝐞𝐧𝐜𝐞 𝐮𝐩𝐝𝐚𝐭𝐞𝐬, 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐭𝐢𝐩𝐬, 𝐜𝐚𝐫𝐞𝐞𝐫 𝐚𝐝𝐯𝐢𝐜𝐞, 𝐚𝐧𝐝 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬! https://www.facebook.com/365DataScience https://www.instagram.com/365datascience/ https://www.linkedin.com/school/365datascience/

𝗦𝗶𝗴𝗻 𝘂𝗽 𝗳𝗼𝗿 𝗼𝘂𝗿 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴—𝐦𝐚𝐬𝐭𝐞𝐫 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐒𝐐𝐋, 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐝𝐚𝐭𝐚 𝐯𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧, 𝐚𝐧𝐝 𝐜𝐨𝐫𝐞 𝐬𝐤𝐢𝐥𝐥𝐬 𝐢𝐧 𝐬𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬 𝐚𝐧𝐝 𝐝𝐚𝐭𝐚 𝐡𝐚𝐧𝐝𝐥𝐢𝐧𝐠—𝐞𝐯𝐞𝐫𝐲𝐭𝐡𝐢𝐧𝐠 𝐲𝐨𝐮 𝐧𝐞𝐞𝐝 𝐭𝐨 𝐥𝐚𝐮𝐧𝐜𝐡 𝐲𝐨𝐮𝐫 𝐜𝐚𝐫𝐞𝐞𝐫: https://bit.ly/3JzzqwY ChatGPT is one of the most talked-about AI tools today — but what exactly is it, and how does it really work? In this beginner-friendly explainer, we’ll walk you through the basics of ChatGPT, from the technology that powers it to the practical ways you can use it in everyday life. You’ll learn how ChatGPT processes your input, generates responses, and adapts to different types of requests. We’ll break down concepts like Natural Language Processing (NLP), large language models, and tokens — without the jargon — so you can understand how this AI communicates like a human. But it’s not just about the benefits. We’ll also explore some important limitations and risks you need to know before using ChatGPT, including: • Why you should always fact-check AI-generated content • How bias and misinformation can creep into responses • The importance of protecting your privacy when sharing information Whether you’re new to AI or just curious about how ChatGPT works, this video will help you use it more effectively and safely. 𝐂𝐨𝐧𝐧𝐞𝐜𝐭 𝐰𝐢𝐭𝐡 𝐮𝐬: https://www.facebook.com/365DataScience https://www.instagram.com/365datascience/ https://www.linkedin.com/school/365datascience/

𝗦𝗶𝗴𝗻 𝘂𝗽 𝗳𝗼𝗿 𝗼𝘂𝗿 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴: https://bit.ly/4mqO8ol Thinking of becoming a data engineer but unsure which degree will open the most doors? In this video, we break down the top 5 degrees employers are asking for in 2025 — based on a review of over 1,000 job listings. Whether you're choosing a college major or making a career switch, this guide will help you make an informed decision about your future in data engineering. From machine learning to computer science and general engineering programs, we’ll cover each degree’s pros, cons, and career impact. What’s inside: Top 5 most in-demand degrees for data engineers Education level trends: bachelor’s vs master’s vs PhD Key insights from 2025 job postings Tips for career changers and non-traditional learners How to stand out without a formal degree Bonus insight: 26% of employers don’t require a specific degree at all — practical skills and real-world projects are becoming just as valuable as formal education. Let us know in the comments: Which degree are you pursuing, or are you going the self-taught route? 𝐃𝐨𝐧’𝐭 𝐟𝐨𝐫𝐠𝐞𝐭 𝐭𝐨 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 𝐰𝐢𝐭𝐡 𝐮𝐬 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐥𝐚𝐭𝐞𝐬𝐭 𝐀𝐈 𝐚𝐧𝐝 𝐝𝐚𝐭𝐚 𝐬𝐜𝐢𝐞𝐧𝐜𝐞 𝐮𝐩𝐝𝐚𝐭𝐞𝐬, 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐭𝐢𝐩𝐬, 𝐜𝐚𝐫𝐞𝐞𝐫 𝐚𝐝𝐯𝐢𝐜𝐞, 𝐚𝐧𝐝 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬 ! https://www.facebook.com/365DataScience https://www.instagram.com/365datascience/ https://www.linkedin.com/school/365datascience/

𝗦𝗶𝗴𝗻 𝘂𝗽 𝗳𝗼𝗿 𝗼𝘂𝗿 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴—𝐦𝐚𝐬𝐭𝐞𝐫 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐒𝐐𝐋, 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐝𝐚𝐭𝐚 𝐯𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧, 𝐚𝐧𝐝 𝐜𝐨𝐫𝐞 𝐬𝐤𝐢𝐥𝐥𝐬 𝐢𝐧 𝐬𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬 𝐚𝐧𝐝 𝐝𝐚𝐭𝐚 𝐡𝐚𝐧𝐝𝐥𝐢𝐧𝐠—𝐞𝐯𝐞𝐫𝐲𝐭𝐡𝐢𝐧𝐠 𝐲𝐨𝐮 𝐧𝐞𝐞𝐝 𝐭𝐨 𝐥𝐚𝐮𝐧𝐜𝐡 𝐲𝐨𝐮𝐫 𝐜𝐚𝐫𝐞𝐞𝐫: https://bit.ly/4lZIsC2 What Is Data Transformation? Last week, we discussed how to build a data warehouse — covering the full lifecycle from data ingestion to storage and access. Today, we’re zooming in on one of the most crucial stages in that journey: data transformation. In this video, we’ll break down how raw, messy data becomes clean, standardized, and analysis-ready — an essential step before data enters your warehouse or analytics systems. What you’ll learn in this video: • Why data transformation is like baking a cake (yes, really) • How to clean and standardize your data for consistency • Key transformation techniques: normalization, aggregation, derivation • Strategies for handling missing data (imputation, removal, flagging) • How validation and quality checks ensure your data’s reliability • The roles of standardization and normalization in a warehouse-ready dataset If you’re working with data pipelines, warehousing, or analytics — this video is your foundation for doing it right. Whether you're a data engineer, analyst, or aspiring data scientist, you'll walk away with a clear understanding of how to turn raw data into valuable insights. If you want to see where transformation fits in the big picture, check out the previous video on “How to Build a Data Warehouse”. 𝐃𝐨𝐧’𝐭 𝐟𝐨𝐫𝐠𝐞𝐭 𝐭𝐨 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 𝐰𝐢𝐭𝐡 𝐮𝐬 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐥𝐚𝐭𝐞𝐬𝐭 𝐀𝐈 𝐚𝐧𝐝 𝐝𝐚𝐭𝐚 𝐬𝐜𝐢𝐞𝐧𝐜𝐞 𝐮𝐩𝐝𝐚𝐭𝐞𝐬, 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐭𝐢𝐩𝐬, 𝐜𝐚𝐫𝐞𝐞𝐫 𝐚𝐝𝐯𝐢𝐜𝐞, 𝐚𝐧𝐝 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬. https://www.facebook.com/365DataScience https://www.instagram.com/365datascience/ https://www.linkedin.com/school/365datascience/

𝗦𝗶𝗴𝗻 𝘂𝗽 𝗳𝗼𝗿 𝗼𝘂𝗿 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴—𝐦𝐚𝐬𝐭𝐞𝐫 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐒𝐐𝐋, 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐝𝐚𝐭𝐚 𝐯𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧, 𝐚𝐧𝐝 𝐜𝐨𝐫𝐞 𝐬𝐤𝐢𝐥𝐥𝐬 𝐢𝐧 𝐬𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬 𝐚𝐧𝐝 𝐝𝐚𝐭𝐚 𝐡𝐚𝐧𝐝𝐥𝐢𝐧𝐠—𝐞𝐯𝐞𝐫𝐲𝐭𝐡𝐢𝐧𝐠 𝐲𝐨𝐮 𝐧𝐞𝐞𝐝 𝐭𝐨 𝐥𝐚𝐮𝐧𝐜𝐡 𝐲𝐨𝐮𝐫 𝐜𝐚𝐫𝐞𝐞𝐫: https://bit.ly/3GUyuTe Welcome to this lesson on the Data Warehouse Development Lifecycle! In this video, we’ll walk you through the entire journey of building a data warehouse — from the initial idea to full deployment and long-term maintenance. Whether you're designing your first data warehouse or optimizing an existing one, understanding each phase of the lifecycle is critical for delivering reliable, scalable, and business-ready data solutions. 🔍 What You’ll Learn: • The importance of gathering clear business requirements • How to choose the right schema (Star vs. Snowflake) • Setting up effective ETL pipelines and ensuring data accuracy • Best practices for testing and validating data • Key steps in deployment and real-world usage • Monitoring performance and system health post-launch • How to prepare for downtime, failure, and disaster recovery 💡 Did you know? Poorly defined requirements are one of the leading causes of data warehouse failure. In this video, we highlight what to look out for — and how to avoid costly mistakes. 📌 This guide is ideal for: • Data Engineers • BI Developers • Architects and Analysts • Anyone working with or building data warehouse solutions 📈 Build your warehouse the right way — and unlock powerful business insights. 𝐃𝐨𝐧’𝐭 𝐟𝐨𝐫𝐠𝐞𝐭 𝐭𝐨 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 𝐰𝐢𝐭𝐡 𝐮𝐬 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐥𝐚𝐭𝐞𝐬𝐭 𝐀𝐈 𝐚𝐧𝐝 𝐝𝐚𝐭𝐚 𝐬𝐜𝐢𝐞𝐧𝐜𝐞 𝐮𝐩𝐝𝐚𝐭𝐞𝐬, 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐭𝐢𝐩𝐬, 𝐜𝐚𝐫𝐞𝐞𝐫 𝐚𝐝𝐯𝐢𝐜𝐞, 𝐚𝐧𝐝 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬 ! https://www.facebook.com/365DataScience https://www.instagram.com/365datascience/ https://www.linkedin.com/school/365datascience/

𝗦𝗶𝗴𝗻 𝘂𝗽 𝗳𝗼𝗿 𝗼𝘂𝗿 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴—𝐦𝐚𝐬𝐭𝐞𝐫 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐒𝐐𝐋, 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐝𝐚𝐭𝐚 𝐯𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧, 𝐚𝐧𝐝 𝐜𝐨𝐫𝐞 𝐬𝐤𝐢𝐥𝐥𝐬 𝐢𝐧 𝐬𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬 𝐚𝐧𝐝 𝐝𝐚𝐭𝐚 𝐡𝐚𝐧𝐝𝐥𝐢𝐧𝐠—𝐞𝐯𝐞𝐫𝐲𝐭𝐡𝐢𝐧𝐠 𝐲𝐨𝐮 𝐧𝐞𝐞𝐝 𝐭𝐨 𝐥𝐚𝐮𝐧𝐜𝐡 𝐲𝐨𝐮𝐫 𝐜𝐚𝐫𝐞𝐞𝐫: https://bit.ly/4nWCseG Where to Start Learning Data Science (in just 30 days!) Welcome back to 365 Data Science! If you’ve ever asked yourself “Where do I even begin with data science?” or “Can I really learn the basics in just a month?” — this video is for you. Spoiler: Yes, you can learn the fundamentals of data science in 30 days — if you focus on the right skills. In this video, we break down: 🔹 What’s realistic to learn in your first month 🔹 Which tools and topics you should start with (Python, SQL, Excel, and more) 🔹 What to skip for now (Machine Learning, Neural Networks, Big Data...) 🔹 A practical, week-by-week roadmap to get you started — today! 🔹 A bonus tip to accelerate your learning journey By the end, you’ll have a clear learning plan AND know exactly how to turn those skills into your first portfolio project. Perfect whether you’re aiming for a new job, a promotion, or your first internship. What You’ll Learn: • Python basics & pandas • Excel functions and dashboards • SQL queries and database handling • Data cleaning techniques • Data visualization tools (Tableau, Power BI, Matplotlib) • Descriptive statistics • Plus: A starter project to launch your GitHub portfolio 𝐃𝐨𝐧’𝐭 𝐟𝐨𝐫𝐠𝐞𝐭 𝐭𝐨 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 𝐰𝐢𝐭𝐡 𝐮𝐬 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐥𝐚𝐭𝐞𝐬𝐭 𝐀𝐈 𝐚𝐧𝐝 𝐝𝐚𝐭𝐚 𝐬𝐜𝐢𝐞𝐧𝐜𝐞 𝐮𝐩𝐝𝐚𝐭𝐞𝐬, 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐭𝐢𝐩𝐬, 𝐜𝐚𝐫𝐞𝐞𝐫 𝐚𝐝𝐯𝐢𝐜𝐞, 𝐚𝐧𝐝 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬 ! https://www.facebook.com/365DataScience https://www.instagram.com/365datascience/ https://www.linkedin.com/school/365datascience/

𝗦𝗶𝗴𝗻 𝘂𝗽 𝗳𝗼𝗿 𝗼𝘂𝗿 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝟱𝟳% 𝗢𝗙𝗙—𝗺𝗮𝘀𝘁𝗲𝗿 𝗱𝗮𝘁𝗮 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲, 𝗣𝘆𝘁𝗵𝗼𝗻, 𝗦𝗤𝗟, 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴, 𝗮𝗻𝗱 𝗺𝗼𝗿𝗲 𝗮𝘁: https://bit.ly/3In9TXx 📊 Proven Data Warehouse Use Cases in 2025 Wondering how data warehouses are used in the real world? In this video, we explore real-life applications of data warehousing across industries — from retail and healthcare to finance — and show how they help businesses make smarter, data-driven decisions. Learn how companies like Amazon analyze customer behavior, how hospitals use historical data to improve patient care, and how banks detect fraud and segment customers using warehouse-powered insights. We’ll also break down: ✅ The 4 key characteristics that make data warehouses unique ✅ How they differ from traditional databases ✅ Common challenges like scalability, cost, and data quality ✅ Why cloud solutions like Snowflake are changing the game Whether you're a beginner in data, a business owner, or a tech professional — this video will help you understand how data warehouses are powering today’s smartest decisions. Connect with us: https://www.facebook.com/365DataScience https://www.instagram.com/365datascience/ https://www.linkedin.com/school/365datascience/