Некоторые нашли ответ на вчерашнюю загадку: это последовательность животных из песни What Does The Fox Say.
И это породило интересное обсуждение здесь, в Телеграме. Часть людей никогда не слышали об этой песне, что лично меня очень сильно удивило. В моём информационном пространстве она является бесспорным масс-культурным феноменом, поэтому знакомство с ней не зависит, например, от ваших музыкальных вкусов. Вам достаточно просто заходить в интернет. По аналогии с, например, Gangnam Style или Harlem Shake: для меня это вещи, которые невозможно было не застать, если вы в принципе пользовались интернетом в период их популярности.
Но, как выяснилось, это совершенно не так, и люди действительно живут немножко в разных информационных слоях. Вот я и задумался: от чего это зависит? Какие источники нужно читать или не читать, чтобы ни разу не наткнуться на какой-то относительно популярный феномен, не обсудить его ни с кем из знакомых, не увидеть в ленте ни одной из соцсетей? В моих компаниях друзей, например, очень часто шутят с отсылками к масс-культуре, поэтому буквально невозможно не знать чего-то известного. Я просто не мог ничего сделать, чтобы пропустить какой-нибудь Ice Bucket Challenge, The Dress или Coffin Dance. Но как-то люди пропускают (наверняка среди читающих это есть те, кто не знает о чём-нибудь из перечисленного).
И другой вопрос: что отличает масс-культурный феномен от просто очень популярной вещи? В комментариях мне справедливо заметили, что если мы откроем в Википедии топ популярных видео на YouTube, там будут ролики с миллиардами просмотров, о которых мы и не слышали. Например, я никогда не видел и не слышал детский стишок «Johny Johny Yes Papa», а ведь это топ-3 видео на YouTube за всю историю, с поразительными 6 миллиардами просмотров! Ну ладно, допустим, видео для детей нельзя считать, потому что современные родители их просто ставят младенцам по 100 раз в день, чтобы отвлечь и чем-то занять. Но, например, у песни Джастина Бибера «Sorry» более 3.5 млрд просмотров, а я её никогда не слышал.
На мой взгляд произведение становится массовым, когда выходит за свои первоначальные границы. Например, если о песне знают не только те, кто в принципе слушает такую музыку и этого исполнителя. А особенно если песня вообще выходит за рамки музыкальной сферы. Например, по песне про лису писали научпоп-статьи о том, какой звук издают лисы. Челлендж Ice Bucket выполняли люди, которые никакого отношения не имеют к медицине или благотворительности. Танец Harlem Shake исполняли люди в военных частях, офисах, в Кембриджском университете. Для меня именно проникновение в нейтральную среду — основной признак.
#web
#R#dataAnalytics
🔍
Google Data Analytics Professional Certificate
This is your path to a career in data analytics. In this program, you’ll learn in-demand skills that will have you job-ready in less than 6 months. No degree or experience required.
1. Foundations: Data, Data, Everywhere
2. Ask Questions to Make Data-Driven Decisions
3. Prepare Data for Exploration
4. Process Data from Dirty to Clean
5. Analyze Data to Answer Questions
6. Share Data Through the Art of Visualization
7. Data Analysis with R Programming
8. Google Data Analytics Capstone: Complete a Case Study
🔗Link
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Main channel:@repo_science
Coupons: @freecoupons_reposcience
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VEON AdTech — аналитика, которая превращает данные в прибыль 💸
📊Наши дашборды — это не просто графики, а рабочий инструмент решений.
👣Поведенческая аналитика по 100+ параметрам: распознаём не просто кто, а почему и когда кликает.
🛒Связь digital и офлайн-продаж: строим воронки, где digital влияет даже на офлайн-продажи (рост на +17% в ритейле).
💡 Фокус на бизнес-метрики, а не «отчетные» цифры: измеряем не охваты, а влияние на реальные бизнес-метрики — от конверсии до выручки.
💎Меньше шума. Больше смысла.
Какие метрики для вас критичны при анализе эффективности?
Делитесь в комментах — обсудим, как применить наш подход в вашей нише.⬇️
👋👋#ProfitFromData#BusinessIntelligence#DataAnalytics#AskTheExperts
🤓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
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📉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 🔥.
👨💻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
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🔥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
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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
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
Kdan Mobile Secures $4M Funding
Kdan Mobile has raised $4 million as part of its funding round on December 18, 2024. The company is known for its business solutions including eSignature, PDF editing, and data analytics, enhanced by Kdan AI.
#Funding#KdanMobile#eSignature#PDF#DataAnalytics#AI
Attention all Data Science enthusiasts! We're thrilled to announce that our club is kicking off a series of exciting events that cover a wide range of topics in data analytics, computer vision, natural language processing, and machine learning in robotics.
First up, we have a speech and Q&A session with Professor Ernazar Abdikamalov, a renowned researcher who uses machine learning in physics. Following that, we'll hear from experts in the industry, including representatives from Kolesa Group and Jusan Group. And to wrap up the series, we're hosting a sponsored hackathon on data analytics!
This is a fantastic opportunity to expand your knowledge, network with industry professionals, and put your skills to the test. Stay tuned for more information on the dates and details of each event.
Link to our Instagram
We can't wait to see you there! #DataSci#DataAnalytics#ComputerVision#NLP#MLinRobotics💻🔬🤖
🔥 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.
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#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
🔥 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
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