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📁🆓 ALL this is FREE⁉️👇 Product Management Project Management Business Analytics Data visualization Microsoft Excel Data Analytics Scrum UI/UX Agile SQL etc.. ❓ How to GET IT?⬇️ ✅ Follow me 🔃 Repost 💬 Comment mau yang mana😉

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Afra

17,987 subscribers

176,835 просмотров • 2 лет назад •via X (Twitter)

ФинансыОбразованиеНаука и технологии
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Комментарии: 8

Фото профиля アフラ
アフラ2 лет назад

📌 You can access all the files above HERE⬇️ 🟢 Bantu repost ya ges😇

Фото профиля syapaa
syapaa2 лет назад

Data analytics sama excel MAU KAKKK

Фото профиля sipanda
sipanda2 лет назад

mau excel, done follow

Фото профиля pe-cél. 😈🐢
pe-cél. 😈🐢2 лет назад

kak aku mauu yg excel, project management, business analytics, sama requirement

Фото профиля v a⭒๋࣭
v a⭒๋࣭2 лет назад

All ruless done. Mau product management, project manage, bisnis analy, excel, data analy, interview, QA, dan product owner kak🙏🏻. Kalau boleh semua, mau semuanya kak, terima kasihhh🤗

Фото профиля dep
dep2 лет назад

Sudaahh. Mau microsoft excel, data analytics, dan ui/ux. Tapi mau semuanya juga kalau boleh, aku mau belajar yang lainnya jugaa. Terima kasih yaa

Фото профиля 🏆 CHAMPIONI D'ITALIA 🏆 #19
🏆 CHAMPIONI D'ITALIA 🏆 #192 лет назад

Mau domain document dong sama data analytics 😁

Фото профиля roramyeon
roramyeon2 лет назад

Mau semua kak huhuhu

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One Polymarket account turned $50 into $435,000 with OpenClaw. It exploits price lag, executes in milliseconds, runs locally in Rust, and prints $400 to $700 a day. I have the exact step-by-step guide, giving it free for 24 hours. To get it: 1. Comment "Polymarket" 2. Like and Retweet 3. Follow me Choya (so I can DM you) What you will learn: ✅ How to reverse-engineer profitable trading bots ✅ Using AI to build Rust bots in under 1 hour ✅ Exploiting price lag across exchanges ✅ Setting up local execution for speed ✅ Complete bot deployment walkthrough ✅ Risk management and error handling This is not theory. This is the exact process to replicate a proven system. The bot runs 24/7 while you sleep and catches every opportunity. Comment "Polymarket" and I will send you everything. Must Follow Choya to get the DM.

Choya

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One Polymarket account turned $50 into $435,000 with OpenClaw. It exploits price lag, executes in milliseconds, runs locally in Rust, and prints $400 to $700 a day. I have the exact step-by-step guide, giving it free for 24 hours. To get it: 1. Comment "Polymarket" 2. Like and Retweet 3. Follow me Himanshu Kumar (so I can DM you) What you will learn: ✅ How to reverse-engineer profitable trading bots ✅ Using AI to build Rust bots in under 1 hour ✅ Exploiting price lag across exchanges ✅ Setting up local execution for speed ✅ Complete bot deployment walkthrough ✅ Risk management and error handling This is not theory. This is the exact process to replicate a proven system. The bot runs 24/7 while you sleep and catches every opportunity. Comment "Polymarket" and I will send you everything. Must Follow me Himanshu Kumar to get the DM.
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One Polymarket account turned $50 into $435,000 with OpenClaw. It exploits price lag, executes in milliseconds, runs locally in Rust, and prints $400 to $700 a day. I have the exact step-by-step guide, giving it free for 24 hours. To get it: 1. Comment "Polymarket" 2. Like and Retweet 3. Follow me Himanshu Kumar (so I can DM you) What you will learn: ✅ How to reverse-engineer profitable trading bots ✅ Using AI to build Rust bots in under 1 hour ✅ Exploiting price lag across exchanges ✅ Setting up local execution for speed ✅ Complete bot deployment walkthrough ✅ Risk management and error handling This is not theory. This is the exact process to replicate a proven system. The bot runs 24/7 while you sleep and catches every opportunity. Comment "Polymarket" and I will send you everything. Must Follow me Himanshu Kumar to get the DM.

Himanshu Kumar

88,139 просмотров • 6 месяцев назад

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Think about it, even in Python, SQL is there. You’ve probably heard about the powerful pandas library. Guess what? It also has some SQL. And don’t get me started on BigQuery, Tableau, Power BI, and Databricks; the answer is the same: they all rely on SQL. SQL is the big shadow that hovers over everything data. This is why learning SQL is a must for data analysts, engineers, scientists, and anyone working with data. SQL connects everything: exploration, extraction, transformation, modeling, validation, and reporting. ✅Why I Wrote This Book Dear friend, I wanted to create a resource that gives you everything you need to learn SQL for data analysis. Quite often, resources are scattered across different places. You might learn theory in one place, search for datasets in another, and hunt for questions somewhere else. More often than not, the only place you can tackle SQL challenges is online. But online platforms usually focus on syntax and don’t reflect the messiness of real-world data. I wrote this book to give you the best of both worlds: theory and practice. I don’t want you to be worrying about where to find resources. I want you to focus only on learning SQL. If you are new to SQL or need a refresher on the fundamentals, Part 1 of the book has you covered. If you are looking for practice, Part 2 is 49 days of hands-on SQL challenges designed to mirror real-world tasks. Each day in the book is designed to feel like a mini project, rather than isolated exercises. Take Day 15: Standardize Climbers Data, for example: On this day, you’re not just writing a single query; you’re working with a dataset from start to finish. By combining these tasks, you experience a full data preprocessing workflow, just like a real project. You get to practice loading, transforming, cleaning, and validating data, all in one challenge. This approach makes every day a hands-on project, not just an isolated query. You’re learning how SQL is used in real-world scenarios, not just memorizing syntax. By the end of each day, you’ve solved a problem that feels meaningful and practical: yes, something that mirrors data analysts’ and engineers’ work in real life. In this book I use SQLite. I chose SQLite because it’s simple, lightweight, and runs on any system without complicated setups or cloud accounts. You don’t need to worry about complex configurations. SQLite allows you to focus entirely on learning SQL concepts, queries, and logic without distractions. You will just have to import it. I also structured the book for use in Jupyter or Google Colab notebooks. These are playgrounds for data analysts, engineers, and scientists. These environments are interactive and flexible. They let you run queries, visualize results, and experiment in real time. Using notebooks ensures that you can practice SQL while documenting your work and learning at your own pace, all in one place. No need for sign-ups. ✅Why 50 Days? I chose 50 days intentionally. Learning SQL isn’t a sprint; it’s a habit. You can’t truly master a language by cramming a few queries in one sitting. 50 days creates a commitment. You attach yourself to a goal, a tangible outcome. Every day is a small win, a step forward, and by the end of the journey, you’ve transformed your understanding of SQL. By spreading the learning over 50 days, you build momentum, consistency, and confidence. Think of it like training for a marathon. You don’t run 26 miles on the first day. You run a little each day, gradually building strength, endurance, and skill. By the end of the 50 days, you’ll have tackled a wide range of SQL tasks: from simple filtering to window functions, date operations, joins, and performance tuning. You’ll have not just learned SQL but truly internalized it. The goal isn’t to overwhelm you. It’s to give you a structured, achievable path that fits into your daily routine, so learning SQL becomes natural, steady, and rewarding. Even if you don’t finish within 50 days, the 50-day structure gives you a rhythm, a habit, and a sense of accomplishment. The kind of outcome that sticks long after the book is finished. In summary, I wrote the book to address these pain points: 🔶Not knowing where to start: The book gives you a clear roadmap that guides you day by day. 🔶Too much theory, not enough practice: Reading about SQL is not the same as doing SQL. This book includes hands-on challenges that mirror real-world scenarios, so you’re not just memorizing commands; you’re learning to think like a data analyst. 🔶Complex setup: Many learners get stuck setting up databases or configuring environments. You will not worry about complex setups; everything runs in SQLite3 inside Jupyter Notebook, so you start immediately. 🔶Disconnected learning: The challenges mirror real-world analytics problems. Every day here is like a mini project, giving you the experience of exploring, cleaning, transforming, and analyzing data ✅What I ask of You I wrote this book for you because I want you to succeed, but books alone don’t create mastery; your effort does. I have provided the tools. All I ask is that you show up every day. Even if it’s just 20–30 minutes, take the challenge seriously. Tackle the problems, experiment with your queries, make mistakes, and fix them. That’s how real learning happens. I also ask that you trust the process. The book is designed to guide you from beginner to confident SQL user, step by step. Some days will feel "easy" and others "hard." Stay the course, and by the end, you’ll see how all the pieces fit together. Finally, I ask that you bring curiosity and persistence. SQL is a language of logic and structure, but it’s also a language of insight. The more you explore, the more patterns you’ll discover, and the more confident you’ll become in solving real-world problems. Don’t be scared to experiment. If you commit to this, I promise you’ll finish 50 days with more than just knowledge. You’ll have the skills, confidence, and habit of thinking like a data analyst. To make starting even easier, as a subscriber to this newsletter, I’m giving you an exclusive 35% launch discount. You can grab your copy today and start the 50-day journey at a reduced price. Grab SQL Essentials for Data Analysis here: I can’t wait to hear about your progress, the insights you uncover, and the confidence you gain along the way. If you have any questions, feel free to reach out to me or post them in the comments section. Let’s start this journey together: one challenge, one query, one day at a time. Warmly, Benjamin PS. Please repost.
2:03

Dear Friend, I wrote this book for you. For the past year, I have labored to create a product that will help you learn and master SQL. I have been there. I have felt the frustration of trying to learn SQL and not knowing where to begin. I have lived through the struggle of setting up a platform to run SQL queries. Most platforms require sign-ups and logins that create a headache for learners. I also know the challenge of finding proper SQL exercises that mirror the real-world experience of a data analyst. Yes, I have been in your shoes. That’s why I created SQL Essentials for Data Analysis: A 50-Day Hands-on Challenge Book (Go From Beginner to Pro). Yes, to give you a clear, practical path from beginner to confident SQL user. ✅Why SQL Still Matters You may be wondering if SQL still matters in 2025. The answer: it has never mattered more. SQL is the lingua franca of data. Data still lives in databases, and the only language it truly understands is SQL. Think about it, even in Python, SQL is there. You’ve probably heard about the powerful pandas library. Guess what? It also has some SQL. And don’t get me started on BigQuery, Tableau, Power BI, and Databricks; the answer is the same: they all rely on SQL. SQL is the big shadow that hovers over everything data. This is why learning SQL is a must for data analysts, engineers, scientists, and anyone working with data. SQL connects everything: exploration, extraction, transformation, modeling, validation, and reporting. ✅Why I Wrote This Book Dear friend, I wanted to create a resource that gives you everything you need to learn SQL for data analysis. Quite often, resources are scattered across different places. You might learn theory in one place, search for datasets in another, and hunt for questions somewhere else. More often than not, the only place you can tackle SQL challenges is online. But online platforms usually focus on syntax and don’t reflect the messiness of real-world data. I wrote this book to give you the best of both worlds: theory and practice. I don’t want you to be worrying about where to find resources. I want you to focus only on learning SQL. If you are new to SQL or need a refresher on the fundamentals, Part 1 of the book has you covered. If you are looking for practice, Part 2 is 49 days of hands-on SQL challenges designed to mirror real-world tasks. Each day in the book is designed to feel like a mini project, rather than isolated exercises. Take Day 15: Standardize Climbers Data, for example: On this day, you’re not just writing a single query; you’re working with a dataset from start to finish. By combining these tasks, you experience a full data preprocessing workflow, just like a real project. You get to practice loading, transforming, cleaning, and validating data, all in one challenge. This approach makes every day a hands-on project, not just an isolated query. You’re learning how SQL is used in real-world scenarios, not just memorizing syntax. By the end of each day, you’ve solved a problem that feels meaningful and practical: yes, something that mirrors data analysts’ and engineers’ work in real life. In this book I use SQLite. I chose SQLite because it’s simple, lightweight, and runs on any system without complicated setups or cloud accounts. You don’t need to worry about complex configurations. SQLite allows you to focus entirely on learning SQL concepts, queries, and logic without distractions. You will just have to import it. I also structured the book for use in Jupyter or Google Colab notebooks. These are playgrounds for data analysts, engineers, and scientists. These environments are interactive and flexible. They let you run queries, visualize results, and experiment in real time. Using notebooks ensures that you can practice SQL while documenting your work and learning at your own pace, all in one place. No need for sign-ups. ✅Why 50 Days? I chose 50 days intentionally. Learning SQL isn’t a sprint; it’s a habit. You can’t truly master a language by cramming a few queries in one sitting. 50 days creates a commitment. You attach yourself to a goal, a tangible outcome. Every day is a small win, a step forward, and by the end of the journey, you’ve transformed your understanding of SQL. By spreading the learning over 50 days, you build momentum, consistency, and confidence. Think of it like training for a marathon. You don’t run 26 miles on the first day. You run a little each day, gradually building strength, endurance, and skill. By the end of the 50 days, you’ll have tackled a wide range of SQL tasks: from simple filtering to window functions, date operations, joins, and performance tuning. You’ll have not just learned SQL but truly internalized it. The goal isn’t to overwhelm you. It’s to give you a structured, achievable path that fits into your daily routine, so learning SQL becomes natural, steady, and rewarding. Even if you don’t finish within 50 days, the 50-day structure gives you a rhythm, a habit, and a sense of accomplishment. The kind of outcome that sticks long after the book is finished. In summary, I wrote the book to address these pain points: 🔶Not knowing where to start: The book gives you a clear roadmap that guides you day by day. 🔶Too much theory, not enough practice: Reading about SQL is not the same as doing SQL. This book includes hands-on challenges that mirror real-world scenarios, so you’re not just memorizing commands; you’re learning to think like a data analyst. 🔶Complex setup: Many learners get stuck setting up databases or configuring environments. You will not worry about complex setups; everything runs in SQLite3 inside Jupyter Notebook, so you start immediately. 🔶Disconnected learning: The challenges mirror real-world analytics problems. Every day here is like a mini project, giving you the experience of exploring, cleaning, transforming, and analyzing data ✅What I ask of You I wrote this book for you because I want you to succeed, but books alone don’t create mastery; your effort does. I have provided the tools. All I ask is that you show up every day. Even if it’s just 20–30 minutes, take the challenge seriously. Tackle the problems, experiment with your queries, make mistakes, and fix them. That’s how real learning happens. I also ask that you trust the process. The book is designed to guide you from beginner to confident SQL user, step by step. Some days will feel "easy" and others "hard." Stay the course, and by the end, you’ll see how all the pieces fit together. Finally, I ask that you bring curiosity and persistence. SQL is a language of logic and structure, but it’s also a language of insight. The more you explore, the more patterns you’ll discover, and the more confident you’ll become in solving real-world problems. Don’t be scared to experiment. If you commit to this, I promise you’ll finish 50 days with more than just knowledge. You’ll have the skills, confidence, and habit of thinking like a data analyst. To make starting even easier, as a subscriber to this newsletter, I’m giving you an exclusive 35% launch discount. You can grab your copy today and start the 50-day journey at a reduced price. Grab SQL Essentials for Data Analysis here: I can’t wait to hear about your progress, the insights you uncover, and the confidence you gain along the way. If you have any questions, feel free to reach out to me or post them in the comments section. Let’s start this journey together: one challenge, one query, one day at a time. Warmly, Benjamin PS. Please repost.

Benjamin Bennett Alexander

18,584 просмотров • 10 месяцев назад

Everyday 1000s of job posts are posted on X, Yet you can't find any, cause X search sucks. So, I built an app that finds out all the recent jobs for you. I could easily charge $40/month for this But today I'm giving it away for FREE (cause it's my birthday) How to get it? - Follow me - Repost this post - Comment "Happy birthday" And I'll share the link with you. This is how it works:
2:00

Everyday 1000s of job posts are posted on X, Yet you can't find any, cause X search sucks. So, I built an app that finds out all the recent jobs for you. I could easily charge $40/month for this But today I'm giving it away for FREE (cause it's my birthday) How to get it? - Follow me - Repost this post - Comment "Happy birthday" And I'll share the link with you. This is how it works:

Sayujya Gupta

68,711 просмотров • 5 месяцев назад

🔴 INTRODUCING BLOOD v3 🔴 The most advanced Solana bot just got even better. After months of relentless work, testing, and fine-tuning, we're proud to unveil BLOOD GUI – the most intuitive, lightning-fast, and powerful UI ever created. Built for speed, simplicity, and precision, it redefines the way you interact with bot. Newcomers can set everything up in minutes, while pros will execute their strategies with unmatched efficiency. 🔥 WHAT’S NEW? 🔥 ✅ Informative homepage – get all essential bot details at a glance. ✅ Sleek, optimized UI – clean design with zero performance loss. ✅ Smart settings management – hide unnecessary options or find the right setting instantly with a search bar. ✅ Enhanced position control – manage multiple trading modes with full control over your trades. ✅ 🔁 Unlimited wallet copying – mirror an infinite number of wallets. ✅ ⚡️ Upgraded nodes – FREE NODE + FASTEST GEYSERS FOR ALL HOLDERS. ✅ 📊 PNL & Winrate analytics – track performance, optimize strategies, and maximize profits with in-depth wallet analysis. And the best part? You get ALL of this with ZERO TRADING TAXES 💰. 🚨 This is not just an update. It’s a GAME-CHANGER. 🚨 There is also one more important thing…
0:27

🔴 INTRODUCING BLOOD v3 🔴 The most advanced Solana bot just got even better. After months of relentless work, testing, and fine-tuning, we're proud to unveil BLOOD GUI – the most intuitive, lightning-fast, and powerful UI ever created. Built for speed, simplicity, and precision, it redefines the way you interact with bot. Newcomers can set everything up in minutes, while pros will execute their strategies with unmatched efficiency. 🔥 WHAT’S NEW? 🔥 ✅ Informative homepage – get all essential bot details at a glance. ✅ Sleek, optimized UI – clean design with zero performance loss. ✅ Smart settings management – hide unnecessary options or find the right setting instantly with a search bar. ✅ Enhanced position control – manage multiple trading modes with full control over your trades. ✅ 🔁 Unlimited wallet copying – mirror an infinite number of wallets. ✅ ⚡️ Upgraded nodes – FREE NODE + FASTEST GEYSERS FOR ALL HOLDERS. ✅ 📊 PNL & Winrate analytics – track performance, optimize strategies, and maximize profits with in-depth wallet analysis. And the best part? You get ALL of this with ZERO TRADING TAXES 💰. 🚨 This is not just an update. It’s a GAME-CHANGER. 🚨 There is also one more important thing…

BLOOD SOLUTIONS

12,258 просмотров • 1 год назад

Liam Coen says analytics should inform decisions, never make them “We leverage analytics. Absolutely. We leverage it for the data and the information to make a decision, not to make the decision. That’s not how it goes. Ever.” “You have the data, AI, analytics, it is unreal. What are the true decisions that lie in the moment, in the now? What are the facts that you need to know? That’s great to leverage.” “We have game management. We have an analytics department to gather that information. But we are not making decisions solely based on those numbers. Ultimately, it has to come from the gut and from yourself.” “Is this the best decision for the Jacksonville Jaguars right now? Because that’s all you can live in. You’re living in every single play.” “I’m going to lean aggressive offensively, especially in year one when you’re trying to instill confidence. You’re trying to instill a mindset of, ‘Yeah, we are good.’ I believe we can go get fourth-and-two. We can.” “We talk about momentum a lot as a team. You can feel that. You can feel momentum. You know when you got it and you know when you don’t. I feed off that as a coach and I feed off the player’s energy on the grass and when they have confidence and momentum I want to roll with it, I want to keep it.” “When you have it you wanna stomp on it, you want to make them feel it.. That’s where the aggression comes in, you want to hold onto that and put your foot on the pedal. And as you grow as a coach there are times where you might be like, ‘Alright, may need to kick here. It’s going to be one of those kind of games.’” “So you have to be prepared, know your gut, go with your gut, feel this, all that’s going on around you, and make the best educated decision.”
3:21

Liam Coen says analytics should inform decisions, never make them “We leverage analytics. Absolutely. We leverage it for the data and the information to make a decision, not to make the decision. That’s not how it goes. Ever.” “You have the data, AI, analytics, it is unreal. What are the true decisions that lie in the moment, in the now? What are the facts that you need to know? That’s great to leverage.” “We have game management. We have an analytics department to gather that information. But we are not making decisions solely based on those numbers. Ultimately, it has to come from the gut and from yourself.” “Is this the best decision for the Jacksonville Jaguars right now? Because that’s all you can live in. You’re living in every single play.” “I’m going to lean aggressive offensively, especially in year one when you’re trying to instill confidence. You’re trying to instill a mindset of, ‘Yeah, we are good.’ I believe we can go get fourth-and-two. We can.” “We talk about momentum a lot as a team. You can feel that. You can feel momentum. You know when you got it and you know when you don’t. I feed off that as a coach and I feed off the player’s energy on the grass and when they have confidence and momentum I want to roll with it, I want to keep it.” “When you have it you wanna stomp on it, you want to make them feel it.. That’s where the aggression comes in, you want to hold onto that and put your foot on the pedal. And as you grow as a coach there are times where you might be like, ‘Alright, may need to kick here. It’s going to be one of those kind of games.’” “So you have to be prepared, know your gut, go with your gut, feel this, all that’s going on around you, and make the best educated decision.”

Josh Chambers

10,496 просмотров • 1 месяц назад

ANTHROPIC OPEN-SOURCED A FREE REPO THAT TURNS CLAUDE INTO A SALES REP, A MARKETER AND A FINANCE LEAD. PEOPLE ARE ALREADY SELLING THIS AS A SERVICE You're not prompting from scratch. You're hiring a department How to set it up: 1. Open Cowork. In the Claude desktop app, open Cowork and go to Customize. You'll see a Browse Plugins button. That's the marketplace 2. Pick your first role. Inside you'll find sales, marketing, finance, legal, data, customer support, product management and more. Each plugin has the skills for that role already baked in, plus the connectors it would use. Install the one you need most 3. Put it to work standalone. It works day one with no setup. Trigger a workflow with a slash command like /sales:call-prep or /data:write-query, paste your notes, and it already knows what good output looks like 4. Connect its tools to supercharge it. Authorize the tools that role uses, your CRM, your analytics, your data warehouse. Standalone is the intern. Connected is the senior hire 5. Build the rest of the team. Install more roles and they work together in one session. Data pulls the numbers, finance reconciles them, marketing turns it into a report. One operator, a full cross-functional team, no payroll This is the same base layer Claude for Legal and Claude for Financial Services are built on. You're getting it for free Full breakdown in my article below. Bookmark this
0:30

ANTHROPIC OPEN-SOURCED A FREE REPO THAT TURNS CLAUDE INTO A SALES REP, A MARKETER AND A FINANCE LEAD. PEOPLE ARE ALREADY SELLING THIS AS A SERVICE You're not prompting from scratch. You're hiring a department How to set it up: 1. Open Cowork. In the Claude desktop app, open Cowork and go to Customize. You'll see a Browse Plugins button. That's the marketplace 2. Pick your first role. Inside you'll find sales, marketing, finance, legal, data, customer support, product management and more. Each plugin has the skills for that role already baked in, plus the connectors it would use. Install the one you need most 3. Put it to work standalone. It works day one with no setup. Trigger a workflow with a slash command like /sales:call-prep or /data:write-query, paste your notes, and it already knows what good output looks like 4. Connect its tools to supercharge it. Authorize the tools that role uses, your CRM, your analytics, your data warehouse. Standalone is the intern. Connected is the senior hire 5. Build the rest of the team. Install more roles and they work together in one session. Data pulls the numbers, finance reconciles them, marketing turns it into a report. One operator, a full cross-functional team, no payroll This is the same base layer Claude for Legal and Claude for Financial Services are built on. You're getting it for free Full breakdown in my article below. Bookmark this

Yarchi

31,798 просмотров • 3 месяцев назад