@repo_science · Post #3571 · 07.09.2023 г., 21:14
#DataAnalysis#book 📚 Introduction to Scientific Computing and Data Analysis (2023) 🔗Link ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----
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Изходен канал @clockstackwheels · Post #499 · 10.08
В массовых источниках информации пишут, что в Сочи сейчас дикие толпы людей на пляжах, и туда лучше не ехать. Но у нас пригород Сочи и выделенный пляж от отеля, толп вообще нет. Конечно, за это пришлось чуть больше заплатить (ненамного, учитывая в целом высокие сочинские цены), а ещё слегка потерять в инфраструктуре, но окупается полностью. И тут я подумал, а можно ли как-то объективно понимать разницу между издержками и выгодой? Не только с пляжами, вообще в жизни. Вот кто-то стоит в очереди в кассу метро, потому что лично для него это удобнее и комфортнее, чем учиться пользоваться автоматом. Можем ли мы отличать ситуации "Он выбирает то, что ему субъективно удобнее, отстаньте от него" и "Он совершает объективную ошибку, отказываясь тратить чуть больше усилий ради куда бОльшей выгоды впоследствии"? Если люди делают что-то, что вам кажется неудобным/неэффективным, то как понимать: это просто вариант личных предпочтений, или действительно людям стоило бы рассмотреть разные варианты? Допустим, кто-то не ест лук, но лук полезный, а ещё присутствует во многих блюдах. Почему бы такому человеку не терпеть личный дискомфорт от употребления лука ради объективно более удобного выбора? Чем это отличается от очередей в кассу вместо автомата, от вызова такси по телефону вместо приложений, от просмотра фильмов с рекламой по телевизору вместо стриминга? На мой взгляд ответ такой: если усилия нужно вкладывать единожды, либо непродолжительное время, но взамен ты получишь систематическую выгоду надолго или навсегда, то отказ от вложения усилий это объективная ошибка, а не вкусовое предпочтение. Например, ты один раз учишься пользоваться автоматом, и потом больше никогда не стоишь в очереди в кассу. Ты один раз платишь больше денег, и потом в течение многих дней не терпишь толпы на пляже. Ты один раз покупаешь паркинг, и потом никогда не ищешь часами место во дворе. При этом бывает и обратная ситуация: вот бросить курить очень сложно, в этом я верю курильщикам. Ты в течение многих месяцев вкладываешь значительные усилия, а потом до конца жизни так или иначе себя сдерживаешь, при этом выгода очень условная — трудно оценить, сколько лет тебе в итоге добавил отказ от курения. Разве что деньги на сигареты не тратишь, но вложения всё равно систематические. Так что выбор "не бросать курить" понятен. Другое дело, с этой точки зрения не понятен выбор "начинать курить", но это отдельный разговор. С луком аналогично: нельзя привыкнуть его есть, если ты его не любишь. Я вот за 32 года так и не привык, хотя периодически приходится: недавно в ресторане заказал пасту, и она почему-то оказалась с луком, а ведь по классическому рецепту не должна была. Наверняка, можно как-то более точно поделить. Не любые разовые усилия оправдываются даже систематической выгодой (пример: покупка автомобиля в городе, до сих пор очень спорная вещь). Но для меня граница лежит где-то тут. Однократная трата ресурсов для постоянного увеличения эффективности и/или комфорта — это форма автоматизации. #life
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@repo_science · Post #3571 · 07.09.2023 г., 21:14
#DataAnalysis#book 📚 Introduction to Scientific Computing and Data Analysis (2023) 🔗Link ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----
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@repo_science · Post #3258 · 02.06.2023 г., 15:24
#promptEngineering#dataAnalysis#Python#pandas#chatGPT 🤖 Prompt Engineering for Data Analysis Python, Pandas, ChatGPT ChatGPT & Python. No Coding Needed. Data Analysis & Data Visualisation with ChatGPT, Python, Pandas & Prompt Engineering 🔗Link ----- Main channel:@repo_science Coupons: @freecoupons_reposcience -----
@thinkbroadly · Post #17 · 31.05.2024 г., 11:55
🤓How to Prepare for a Data Analyst Interview? For example, take a mock interview or at least watch one. A mock interview is a practice interview that closely mimics a real one. In a mock interview, an experienced data analyst tests a less experienced person's knowledge and skills. Benefits of a Mock Interview: ⚡️ Feedback and Evaluation: It's hard to get this in a real interview. ⚡️ Understanding Weaknesses: You'll know what areas you need to improve. ⚡️ Increased Confidence: You'll feel more prepared for the real interview. 👉 Find a Mentor It's best to do a mock interview with an experienced mentor. To find a mentor you can try platforms like Preplaced, interviewing.io, mentorcruise.com 👉 Watch Mock Interviews Online for free If you can't find a mentor, there are many mock interview videos online. These can give you a good understanding of the process and questions and help you avoid mistakes. Examples: - Mock Interview & Feedback: Data Analyst - Analyze a User's Posts - Data Analyst SQL Mock Interview - SQL Mock Interview (Data Analyst): Departments with the Highest Revenues 👉 Practice with Google for free Google offers Interview Warmup. You can practice answering questions and get quick feedback on your answers. This helps you get better and feel more confident for real interviews. #DataAnalyst#DataAnalytics#DataAnalysis#data_analyst If you have a premium Telegram account, please give a free boost to my channel: https://t.me/boost/thinkbroadly.
@thinkbroadly · Post #15 · 27.05.2024 г., 13:58
📉Free Data Analysis Course with Certificate Recently, I noticed freeCodeCamp.org has a course called "Data Analysis with Python". This course teaches Python specifically for data analysis. 🔥The course covers the entire data analysis process, explaining how to use libraries like Numpy, Pandas, Matplotlib, and Seaborn. 🔥In the practical part, you get 5 projects to work on independently, with all the necessary information and examples provided. The projects include demographic data analysis, medical data visualization, sea level predictor, deviation calculator, and time series visualization. 🔥You can get a certificate for free upon completion. freeCodeCamp.org also has other free courses with certificates to further expand your knowledge: - Algebra with Python (which gives a deeper understanding of math and data science) - Machine Learning (which is useful for data analysts since many companies now require machine learning skills). #DataAnalyst#DataAnalytics#DataAnalysis#data_analyst If you like this type of content, hit 🔥.
@thinkbroadly · Post #14 · 24.05.2024 г., 07:16
👨💻5 Platforms to Get Your First Experience as a Data Analyst What is IT volunteering? It's about helping non-profit organizations that can't afford to hire IT specialists for tasks like data analysis, programming, and marketing. Usually, this work is project-based rather than a permanent job. Benefits: 1. Gain experience and add to your portfolio 2. Get recommendations for your resume 3. Help others at the same time Here is the list of platforms where you can volunteer your data analytics skills: Сatchafire Datakind Statisticswithoutborders Vizforsocialgood Technologyvolunteers If you can't find the right tasks on websites, you can take the initiative and offer your skills directly to a non-profit organization you know. #DataAnalyst#DataAnalytics#DataAnalysis#data_analyst If you find this content useful, give it a🔥!
@thinkbroadly · Post #7 · 06.05.2024 г., 06:21
🔥Free Data Job Simulation Programs with Certificate I completed one of the simulators to recommend it to you. These simulators are suitable for those who want to practice on real tasks and understand what a data analyst does at leading companies. - Online simulators imitate a workday at top companies - No prior knowledge is required – the necessary information is provided for task completion - In the end, you receive a certificate and the opportunity to connect with recruiters Register ➡️ Receive video instructions from real employees ➡️ Complete the task ➡️ Compare your work with the company’s example ➡️ Upload your resume ➡️ Receive a certificate and the opportunity to connect with recruiters. 😎Simulators: 1. Data Analytics & Visualization at Accenture (a leading consulting firm from the Fortune Global 500 list) 2. Power BI at PwC (a consulting firm from the "Big Four") 3. Data Analytics at Quantium (a company specializing in data science and AI) 4. Data Visualisation: Empowering Business with Effective Insights at Tata (a multinational conglomerate operating in 150 countries) All data-related simulators are here. Simulators for other skills (marketing, project management, consulting, etc.) are here. #DataAnalyst#DataAnalytics#DataAnalysis#data_analyst If this was helpful, subscribe for even more insights🔥
@thinkbroadly · Post #6 · 12.01.2024 г., 03:17
SimilarWeb can significantly overstate website visit statistics, so: 1. Don't fully trust when someone shows you statistics from SW 2. Don't use SW for the analysis of your website; use Google Analytics. GA collects more accurate data. Similarweb collects data from available sources and makes estimates and predictions using machine learning. Anyway, it's a good tool for competitor analytics. A visit can be roughly equated to a session start in Google Analytics. #DataAnalyst#DataAnalytics#DataAnalysis#data_analyst
@thinkbroadly · Post #5 · 09.01.2024 г., 06:21
3 Trends in Data Analytics: From 2023 to 2024 Hello, friends! I hope you're well-rested and ready to work? Today, let's talk about what made 2023 memorable and what will continue to gain momentum in 2024. #1 Artificial Intelligence in Analytics The combination of "Analytics + AI" seems to be with us forever now. 🔸 PowerBI, Tableau, and others have implemented AI 🔸 ChatGPT released Data Analyst 🔸 Numerous startups with analytics and AI #2 Self-Service Analytics and "Data Democratization" People without a technical background and without the help of an analyst can now: 🔸 Access data quickly (using natural language database queries) 🔸 Perform simple analysis in seconds All this is thanks to AI and intuitive interfaces. Despite the disappointment with AI in 2023 and the realization of its limitations, ignoring this trend would be a mistake. Gartner predicts that by 2024, 75% of organizations will use AI for analytics. #3 Embedded Analytics Analytics is being integrated into various applications and processes, improving decision-making and allowing users to independently find and solve problems, as well as find ways to improve. Examples: 🔸 Kodak has embedded analytics in its software for printing machines, allowing for tracking of ink usage efficiency 🔸 Shopify offers analytics tools on its dashboard for merchants to track sales, customer behavior, and other key business metrics. In conclusion, all these processes will not replace an analyst. They are just a powerful tool for in-depth work and reducing manual labor. Wishing everyone successful analysis in 2024! #DataAnalyst#DataAnalytics#DataAnalysis#data_analyst
@venturevillagewall · Post #4363 · 11.03.2025 г., 13:00
Recent VC Funding Highlights 🚀Investments in Tech: - Seismic: $7M on March 6, 2025. Learn more - Vpon Big Data Group: $7M on March 7, 2025. Learn more - Eyou Robot: $6.90M on March 6, 2025. Learn more - Furlenco: $6.88M on March 7, 2025. Learn more - Coffee Address: $5.24M on February 26, 2025. Learn more - Reality Games London: $4.65M on March 7, 2025. Learn more - Uthana: $4.30M on March 10, 2025. Learn more - iAgent Protocol: $3M on March 6, 2025. Learn more - Bluebook: $3M on February 13, 2025. Learn more - Aeolus Robotics: $2.60M on March 7, 2025. Learn more #Funding#Investment#VC#Tech#BigData#Gaming#AI#Robotics#DataAnalysis
@thinkbroadly · Post #11 · 22.05.2024 г., 06:12
🔥 Learn Python for Data Analysis: Easy Self-Study Roadmap I made 2 diagrams☝️to help beginners who want to learn Python for data analysis on their own. _____________________________________ #DataAnalyst#DataAnalytics#DataAnalysis#data_analyst#python If you like this type of content, hit 🔥. Give a FREE BOOST to My Channel https://t.me/boost/thinkbroadly
@thinkbroadly · Post #16 · 30.05.2024 г., 05:25
🔥 19 Step-by-step Data Analysis Projects with SQL Below are popular data projects from Kaggle, GitHub and Medium and YouTube. They will: - Help you gain skills in working with real data - Introduce you to SQL for data analysis - Inspire you to undertake your own data analysis projects 🗺Real World Fake Data Analysis 🏠Housing sales in Nashville 🛒Walmart Sales Analysis SQL Project 🧳Alex the Analyst SQL Project 🌳NYC Tree Census and Income project ⌨️Building SQL Project With E-Commerce Dataset From Kaggle 🦠Covid19 Exploratory Analysis ⚽️European Soccer Database Analysis Using SQL 🤑Superstore Sales Analysis using SQL 🛣UK Road Safety Analysis Project 2015 💸International Debt Analysis using SQL ⚽️Soccer Game Analysis using SQL 🌍World Population Analysis 2015 using SQL 📉SQL Project for Data Analysis 🚍Public Transportation Data Analysis using SQL 📸Instagram User Data Analysis using SQL 🙌HR Data Analysis using SQL 🎬Data Analyst Project: Step-by-step analysis with SQL 🎼Music Store Data Analysis Project Using SQL Other posts: 🔥 20 Step-by-Step Data Analysis Projects with Python Code 🔥 Free Data Job Simulation Programs with Certificate #DataAnalyst#DataAnalytics#DataAnalysis#data_analyst#sql If you find this useful, give it a🔥
@venturevillagewall · Post #4283 · 02.03.2025 г., 04:00
Ethereum's Pivotal Moment and Bybit Developments Tim Beiko marks a critical day in Ethereum history, reflecting on recent announcements balancing extremes. Meanwhile, the Bybit hacker resumes laundering efforts, with only 156,000 ETH left of the 499,000 ETH stolen, likely clearing in three days. Additionally, Crypto Flow Technology Limited raises HK$11.646 million to develop an on-chain data analysis platform and DEX aggregator. #Ethereum#Beiko#Bybit#Hacking#Crypto#Blockchain#DataAnalysis#DEX#TechNews#VC