Analytics and growth mindset ️

🏄‍♂️ Data Analytics in Surfing: A Startup Combining Hobby and Work Today, I want to talk about a unique startup that combines data analytics, machine learning, and surfing. Most of its employees are surfer-data specialists who merge their hobby (surfing) with remote data work. Surfline is a company founded by American surfer Sean Collins. Its mission is to help surfers catch the perfect waves. 500K+ downloads on Google Play 7M+ visits to the website monthly I use Surfline myself to check how good the surfing conditions are on any given day. For example, if the conditions are "Poor," there are no waves, or the waves are too high, it's not a good day to surf, and it's better to plan something else. How does the company forecast surfing conditions? Three key points: 👉 Data Collection. Information is gathered from ocean buoys, weather stations, and satellites. 👉Modeling. Initially, Sean Collins made forecasts based on what he could calculate on paper. Modern models involve billions of calculations, considering thousands of different variables. These models are constantly improving. 👉Visualization. The collected information is translated into "surfer language" and visualized as dashboards on the website and in the app (see screenshot). This startup is an inspiring example of how data can improve the quality of life. It also shows that work and hobbies can coexist harmoniously when you build a career around your interests. If you find this content useful, hit 🔥.

🤩🤩🤩IBM has announced free courses in data analysis and cybersecurity IBM is one of the leading companies in information technology. IBM SkillsBuild is their educational program with 1,000 courses in 20 languages, aimed at increasing access to tech education. Skills in cybersecurity and data analysis are essential for AI innovation, allowing professionals to extract valuable insights, protect data, and make informed decisions in today's world, writes IBM. Some facts: 〰️ All courses are completely free 〰️ Designed for beginners, providing the basics 〰️ You can get a certificate at the end 〰️ Can be completed within 10 hours ➡️Data Course: introduces the basic skills for successful work in data ➡️Artificial Intelligence: basics of AI and machine learning ➡️Cybersecurity: analysis and protection against cyber threats ➡️IT Project Management: project management and teamwork ➡️Web Development: creating and maintaining websites ➡️Data Science: basics of working with big data and data analysis tools ➡️Information Technology: IT systems support and maintenance If you find this content useful, give it a 🔥.

👨‍💻 Working from the Beach and Hot Data Analyst Jobs in Thailand I'm starting a series of posts about where and how to work as a data analyst abroad. The first country on the list is Thailand, where I currently live. Thailand actively hires foreigners and offers work visas. A few facts: ➡️ Many international companies have headquarters in Thailand. ➡️ Thailand attracts IT expats, creating a multinational and innovative environment. ➡️ Digital nomads love Thailand for its fast internet and low cost of living. ➡️ In many IT companies, the working language is English, which is convenient for expats. Thailand is also a very friendly country. Key employers in Thailand that hire foreigners: 〰Agoda: A popular online hotel and flight booking company with competitive prices. Over 4000 employees worldwide. Why do we work at Agoda? 〰Grab: The leading ride-hailing app in Southeast Asia, also offering food delivery, grocery delivery, and cashless payments. 6000+ employees. 〰FoodPanda: A tech company with a strong presence in Thailand, with over 9000 employees from 50+ countries. They deliver food with authentic recipes from around the world. 〰Lazada: The largest e-commerce platform in Southeast Asia, offering a wide range of products and services. Hot job openings: 🔹Hot analyst jobs (data, marketing, finance, etc.) at Agoda 🔹Business Intelligence-Data Analysis at Lazada 🔹 [Cooperative Internship 2024] Machine Learning Intern, Data Team at Agoda 🔹ManEx Data Visualization - Homecare SEA Intern at Unilever 🔹Sales Operations Analyst at Grab 📍 This list of companies and job openings is not exhaustive. You can search for jobs on company websites and job search websites like LinkedIn Job, JobsDB (these links lead to analyst jobs). P.S. In the photo, I'm working with my laptop on the beach. I do this about once a week. I've noticed that by the sea, I have a high level of concentration, and work hours fly by. There's a canopy for shade, and there are outlets and Wi-Fi near the loungers, although I use mobile internet because it's excellent here.

👨‍💻 2 Free Projects to Practice Data Analysis and Python Skills Here are free hands-on projects from Coursera with no trial periods or card attachments required. Each project takes about 8 hours to complete. 1. Web Scraping and Analyzing Data Analyst Job Listings with Python In this project, you will help a recruitment agency find suitable job listings for their clients, giving them an edge over other job seekers. You'll need to extract job listing data from several websites, visualize, and analyze it. 👉Project 2. Analyzing Social Media Usage Data with Python In this project, you will work as a data analyst at a marketing firm specializing in brand promotion on social media. Your task is to use Python to extract, clean, and analyze tweets in specific categories (health, family, food, etc.) and create visualizations. 👉Project

✈️I have several Telegram channels, and I know many of you want to create your own. I'm planning to make a post or even a video explaining how to create, promote, and monetize Telegram channels. Both experienced and beginner specialists can develop a Telegram channel, as everyone's experience can be helpful to others! Plus, it could become an additional source of income for you. —— If you have questions about creating and developing a Telegram channel, leave them in the comments below👇🏻. If you find the topic interesting but don't have specific questions, just leave a 🔥.

🤖10 AI Tools for Data Analysts These platforms leverage AI and: - Support natural language queries - Automate data analysis from import and cleaning to pattern detection, anomaly identification, and ML model development - Enable analysts to be more productive and tackle complex tasks ⚡️ AI-Enabled Cloud Environment: 1. DataCamp Datalab: A platform for learning and working with data without the need for software installation. Automates routine tasks and ML model prototyping. ⚡️ AI Assistant for Learning and Analysis: 2. ChatGPT Data Analyst - A version of ChatGPT optimized for data analysis tasks. ⚡️ Visualization Platforms with AI: Tools for creating informative dashboards and analyses. 3. Tableau 4. Microsoft Power BI 5. Polymer 6. IBM Cognos Analytics ⚡️ Simplified ML Model Creation: Platforms that simplify the process of developing and deploying machine learning models. 7. Google Cloud AutoML 8. DataRobot ⚡️ Comprehensive Open Source Analytical Platform: Offers a full range of analytical tools from preprocessing to data analysis. 9. KNIME ⚡️ Data Management: Supports data integration, cleansing, and synchronization for effective data management. 10. Talend Which one do you use?

👨‍💻 A Day in the Life of a Data Analyst at Accenture: Free Simulator Experience the role of a data analyst with this free simulator from Accenture. Accenture specializes in IT and consulting, boasting a total capital of $26.46 billion and employing 733,000 people. What's it about? Your team has been assigned a new project for a client called Social Buzz, where you will act as a data analyst. The simulator includes 4 tasks and takes about 2–3 hours to complete. During this time, you will perform real tasks from Accenture and learn: 🔻 The responsibilities of a data analyst at Accenture and the team structure 🔻 How to clean, model, and analyze data to gain valuable insights for the client 🔻 How to link business with data and convey current and interesting ideas in presentations 🔻 How to prepare and present ideas to the client in a presentation Register 👉 Receive video instructions from real employees 👉 Complete the task 👉 Compare your work with the company's sample 👉 Upload your resume 👉 Receive a certificate and the opportunity to connect with recruiters. Simulator is here: Accenture Data Analytics Simulator. Other interesting simulators: - Power BI (PwC) - Data Visualisation: Empowering Business with Effective Insights (Tata) - Artificial Intelligence (Cognizant’s) - Inventory Analysis (lululemon) - Excel for Businessд (Goldman Sachs) - All Data Simulators - All Simulators (not only data)

Analytics and growth mindset ️ pinned « 🤨 From Zero to Senior Data Analyst This post will always be pinned📌 at the top👆🏻, and I will regularly add new materials here to help you: 1. Become a data analyst 2. Improve your skills: Python, SQL, Power BI, and other essential tools 3. Prepare for interviews…»

🤨From Zero to Senior Data Analyst This post will always be pinned📌 at the top👆🏻, and I will regularly add new materials here to help you: 1. Become a data analyst 2. Improve your skills: Python, SQL, Power BI, and other essential tools 3. Prepare for interviews 4. Find a job Here are some useful posts: 🔥Free Data Job Simulation Programs with Certificate ⚡️20 Step-by-Step Data Analysis Projects with Python Code ⭐️Learn Python for Data Analysis: Easy Self-Study Roadmap 👨‍💻5 Platforms to Get Your First Experience as a Data Analyst 📉Free Data Analysis Course with Certificate 🔥19 Step-by-step Data Analysis Projects with SQL 🤓How to Prepare for a Data Analyst Interview? 👨‍💻3 Free Services for Practicing SQL and Python 🧑‍💻What laptop should a data analyst choose? 🔥Free Data Analyst Career Guide and Interview Preparation by IBM* Subscribe: Analytics and growth mindset

🔥Free Data Analyst Career Guide and Interview Preparation by IBM* A 10-hour course prepares entry-level data analysts for the job market, providing basic employment process information. Rated 4.6/5 on Coursera. *IBM is one of the largest IT companies in the world. 🚀 What you'll learn: Part 1: 1. How to create a resume and portfolio 2. How to effectively present yourself 3. How to understand the different types of data analysts Part 2: 1. How to research companies where you want to interview 2. How to evaluate a job posting 3. How to rehearse and prepare for an interview Part 3: 1. How the interview process works 2. About the coding challenge 3. Interview questions and how to answer them 4. What to do after the interview The course is here. If you find this useful, give it a❤️.

🧑‍💻 What laptop should a data analyst choose? This question often comes up in the comments. Let's break it down👇🏻. ⚡️ Can you work on the simplest laptop? In many companies, analysts work with small datasets and perform simple operations, so basic configurations are sufficient. Even if you have a cheap laptop and need more computing power, you can solve this problem with a remote desktop. This allows you to use the computing resources of a remote device while staying on your own. ⚡️ Can you work on a tablet? Even powerful tablets like the Apple iPad Pro are not suitable for data analysis. They do not have enough power and compatibility with the necessary software (Python, Power BI, Tableau, and Excel). ⚡️ What to look for when choosing a laptop? 👉 Processor power. An Intel Core i7 or i9, or an AMD Ryzen 7 or 9, will provide fast data processing and complex computations. 👉 RAM. At least 16 GB of RAM for working with large datasets and multitasking. For more demanding tasks, 32 GB or more is recommended. 👉 Display. High resolution (Full HD or higher) and good color reproduction. For comfortable work, a screen size of 15 to 17 inches is better. 👉 Support for the necessary operating system (Windows, macOS, Linux). For example, the visualization tool Power BI does not have a full version that works on macOS (though this problem can be solved with a virtual machine). When it comes to specific brands, one of the most popular among data analysts is the Apple MacBook Pro (M2). What laptop do you use? And what other factors should be considered when choosing a laptop? ❗️Subscribe: Analytics and growth mindset

👨‍💻3 Free Services for Practicing SQL and Python When you start learning SQL and Python, you need lots of practice. It's great if you have real tasks at work, but if not, I recommend these free services. They will help you get the practice you need and improve your skills. 1. HackerRank ⚡️ You can practice many different languages, including SQL and Python. ⚡️ You can get certified in technical skills by taking the HackerRank Skills Certification Test. ⚡️ HackerRank is completely free. 2. StrataScratch ⚡️ It's a data science platform with over 1,000 real interview questions (coding and non-coding) from top companies like Google, Netflix, Apple, Airbnb, and Spotify. ⚡️ New interview questions come out every month, and many are free. 3. LeetCode ⚡️ It has lots of coding challenges from big companies like Google, Facebook, Amazon, and Microsoft to help you get better at algorithms and data structures. ⚡️ New problems are added all the time, and many are free. Watch my video👁 to see how it works. If you find this useful, give it a🔥