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Free Online Courses with Certificate | Udacity Free Courses | Eduonix | IP Cybersecurity | Coursera | Premium Certified Cours

Free Online Courses with Certificate | Udacity Free Courses | Eduonix | IP Cybersecurity | Coursera | Premium Certified Courses

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📈 Telegram 频道 Free Online Courses with Certificate | Udacity Free Courses | Eduonix | IP Cybersecurity | Coursera | Premium Certified Courses 的分析概览

频道 Free Online Courses with Certificate | Udacity Free Courses | Eduonix | IP Cybersecurity | Coursera | Premium Certified Courses (@udacityfreecourse) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 47 567 名订阅者,在 教育 类别中位列第 3 762,并在 印度 地区排名第 8 122

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 47 567 名订阅者。

根据 16 六月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 -157,过去 24 小时变化为 -4,整体触达仍然可观。

  • 认证状态: 未认证
  • 互动率 (ER): 平均受众互动率为 1.67%。内容发布后 24 小时内通常能获得 0.65% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 792 次浏览,首日通常累积 311 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 3
  • 主题关注点: 内容集中在 |--, learning, javascript, analytic, certification 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台:
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凭借高频更新(最新数据采集于 17 六月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 教育 类别中的关键影响点。

47 567
订阅者
-424 小时
-277
-15730

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吸引订阅者
六月 '26
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+49
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四月 '26
+120
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三月 '26
+89
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二月 '26
+289
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一月 '26
+482
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十二月 '25
+373
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+474
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十月 '25
+437
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+377
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八月 '25
+681
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七月 '25
+966
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+1 097
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五月 '25
+2 092
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+3 160
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三月 '25
+538
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二月 '25
+531
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一月 '25
+597
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十二月 '24
+680
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+1 930
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十月 '24
+2 885
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+2 751
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+2 715
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七月 '24
+2 535
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+2 965
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+2 541
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+2 402
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三月 '24
+3 076
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+3 046
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一月 '24
+3 496
在2个频道中
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十二月 '23
+2 776
在2个频道中
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十一月 '23
+750
在8个频道中
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十月 '23
+430
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九月 '23
+804
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八月 '23
+933
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+1 191
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+70
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五月 '23
+65
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四月 '23
+121
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三月 '23
+54
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二月 '23
+61
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一月 '23
+59
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十二月 '22
+52
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十一月 '22
+41
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十月 '22
+32
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九月 '22
+41
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八月 '22
+34
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七月 '22
+41
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六月 '22
+19
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五月 '22
+24
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四月 '22
+25
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三月 '22
+29
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二月 '22
+28
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一月 '22
+39
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十二月 '21
+25
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十一月 '21
+37
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十月 '21
+36
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九月 '21
+76
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八月 '21
+191
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七月 '21
+128
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六月 '21
+416
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五月 '21
+807
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日期
订阅者增长
提及
频道
17 六月0
16 六月+1
15 六月0
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12 六月+4
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频道帖子
🔟 AI Project Ideas for Beginners 1. Chatbot Development: Build a simple chatbot using Natural Language Processing (NLP) with libraries like NLTK or SpaCy. Train it to respond to common queries. 2. Image Classification: Use a pre-trained model (like MobileNet) to classify images from a dataset (e.g., CIFAR-10) using TensorFlow or PyTorch. 3. Sentiment Analysis: Create a sentiment analysis tool to classify text (e.g., movie reviews) as positive, negative, or neutral using NLP techniques. 4. Recommendation System: Build a recommendation engine using collaborative filtering or content-based filtering techniques to suggest products or movies. 5. Stock Price Prediction: Use time series forecasting models (like ARIMA or LSTM) to predict stock prices based on historical data. 6. Face Recognition: Implement a face recognition system using OpenCV and deep learning techniques to detect and identify faces in images. 7. Voice Assistant: Develop a basic voice assistant that can perform simple tasks (like setting reminders or searching the web) using speech recognition libraries. 8. Handwritten Digit Recognition: Use the MNIST dataset to build a neural network that recognizes handwritten digits with TensorFlow or PyTorch. 9. Game AI: Create an AI that can play a simple game (like Tic-Tac-Toe) using Minimax algorithm or reinforcement learning. 10. Automated News Summarizer: Build a tool that summarizes news articles using NLP techniques like extractive or abstractive summarization. Best Data Science & Machine Learning Resources: https://topmate.io/coding/914624 Credits: https://t.me/datasciencefun Like if you need similar content 😄👍 ENJOY LEARNING 👍👍

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SQL From Basic to Advanced level Basic SQL is ONLY 7 commands: - SELECT - FROM - WHERE (also use SQL comparison operators such as =, <=, >=, <> etc.) - ORDER BY - Aggregate functions such as SUM, AVERAGE, COUNT etc. - GROUP BY - CREATE, INSERT, DELETE, etc. You can do all this in just one morning. Once you know these, take the next step and learn commands like: - LEFT JOIN - INNER JOIN - LIKE - IN - CASE WHEN - HAVING (undertstand how it's different from GROUP BY) - UNION ALL This should take another day. Once both basic and intermediate are done, start learning more advanced SQL concepts such as: - Subqueries (when to use subqueries vs CTE?) - CTEs (WITH AS) - Stored Procedures - Triggers - Window functions (LEAD, LAG, PARTITION BY, RANK, DENSE RANK) These can be done in a couple of days. Learning these concepts is NOT hard at all - what takes time is practice and knowing what command to use when. How do you master that? - First, create a basic SQL project - Then, work on an intermediate SQL project (search online) - Lastly, create something advanced on SQL with many CTEs, subqueries, stored procedures and triggers etc. This is ALL you need to become a badass in SQL, and trust me when I say this, it is not rocket science. It's just logic. Remember that practice is the key here. It will be more clear and perfect with the continous practice Best telegram channel to learn SQL: https://t.me/sqlanalyst Data Analyst Jobs👇 https://t.me/jobs_SQL Join @free4unow_backup for more free resources. Like this post if it helps 😄❤️ ENJOY LEARNING 👍👍
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