لا تقع ضحية للمخادعين! تيليمتريو يكتشف ويُميّز هذه القنوات 👉 إذا كنت تريد رؤية العلامة، اشترك

Coding Projects

الذهاب إلى القناة على Telegram

Channel specialized for advanced concepts and projects to master: * Python programming * Web development * Java programming * Artificial Intelligence * Machine Learning Managed by: @love_data

إظهار المزيد

الشبكة:Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT Expert الهند4 739 التكنولوجيات والتطبيقات1 910...

📈 نظرة تحليلية على قناة تيليجرام Coding Projects

تُعد قناة Coding Projects (@programming_experts) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 67 949 مشتركاً، محتلاً المرتبة 1 910 في فئة التكنولوجيات والتطبيقات والمرتبة 4 739 في منطقة الهند.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 67 949 مشتركاً.

بحسب آخر البيانات بتاريخ 25 أكتوبر, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 172، وفي آخر 24 ساعة بمقدار 6، مع بقاء الوصول العام مرتفعاً.

حالة التحقق: غير موثّقة
معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 3.69‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 1.06‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
وصول المنشورات: يحصل كل منشور على متوسط 2 510 مشاهدة. وخلال اليوم الأول يجمع عادةً 717 مشاهدة.
التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 4.
الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل |--, algorithm, array, framework, javascript.

📝 الوصف وسياسة المحتوى

يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“Channel specialized for advanced concepts and projects to master: * Python programming * Web development * Java programming * Artificial Intelligence * Machine Learning Managed by: @love_data”

بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 26 أكتوبر, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.

Buy Ad

67 949

المشتركون

+624 ساعات

-197 أيام

+17230 أيام

2 510

عرض المشاهدات

~ 71724 ساعات

~ 1 00948 ساعات

3.69%

معدل المشاركة

~ 1

المشاركات في اليوم

Ads index

beta

جارٍ تحميل البيانات

القنوات المماثلة

79.5K

Web Development

77.7K

Data Science & Machine Learning

40.4K

Python Projects & Free Books

37.8K

Codes Learning🧠🚀💻

27.7K

Web design & 😃 development

قنوات أخرى

سحابة العلامات

الإشارات الواردة والصادرة

---

جذب المشتركين

أكتوبر '26أكتوبر '26

أكتوبر '26

+297

في 1 قنوات

سبتمبر '26

+453

في 2 قنوات

Get PRO

أغسطس '26

+593

في 2 قنوات

Get PRO

يوليو '26

+749

في 4 قنوات

Get PRO

يونيو '26

+660

في 2 قنوات

Get PRO

مايو '26

+833

في 5 قنوات

Get PRO

أبريل '26

+452

في 2 قنوات

Get PRO

مارس '26

+230

في 1 قنوات

Get PRO

فبراير '26

+721

في 9 قنوات

Get PRO

يناير '26

+975

في 6 قنوات

Get PRO

ديسمبر '25

+1 062

في 2 قنوات

Get PRO

نوفمبر '25

+1 184

في 3 قنوات

Get PRO

أكتوبر '25

+1 003

في 7 قنوات

Get PRO

سبتمبر '25

+407

في 8 قنوات

Get PRO

أغسطس '25

+481

في 10 قنوات

Get PRO

يوليو '25

+529

في 15 قنوات

Get PRO

يونيو '25

+870

في 26 قنوات

Get PRO

مايو '25

+1 918

في 19 قنوات

Get PRO

أبريل '25

+3 928

في 18 قنوات

Get PRO

مارس '25

+1 717

في 17 قنوات

Get PRO

فبراير '25

+552

في 22 قنوات

Get PRO

يناير '25

+689

في 26 قنوات

Get PRO

ديسمبر '24

+739

في 6 قنوات

Get PRO

نوفمبر '24

+2 623

في 9 قنوات

Get PRO

أكتوبر '24

+3 178

في 10 قنوات

Get PRO

سبتمبر '24

+2 776

في 7 قنوات

Get PRO

أغسطس '24

+2 755

في 6 قنوات

Get PRO

يوليو '24

+4 830

في 11 قنوات

Get PRO

يونيو '24

+4 897

في 16 قنوات

Get PRO

مايو '24

+4 057

في 15 قنوات

Get PRO

أبريل '24

+4 015

في 14 قنوات

Get PRO

مارس '24

+4 687

في 6 قنوات

Get PRO

فبراير '24

+4 403

في 2 قنوات

Get PRO

يناير '24

+5 086

في 3 قنوات

Get PRO

ديسمبر '23

+3 430

في 2 قنوات

Get PRO

نوفمبر '23

+569

في 9 قنوات

Get PRO

أكتوبر '23

+782

في 4 قنوات

Get PRO

سبتمبر '23

+637

في 0 قنوات

Get PRO

أغسطس '23

+970

في 0 قنوات

Get PRO

يوليو '23

+872

في 0 قنوات

Get PRO

يونيو '23

+45

في 0 قنوات

Get PRO

مايو '23

+95

في 0 قنوات

Get PRO

أبريل '23

+123

في 0 قنوات

Get PRO

مارس '23

+95

في 0 قنوات

Get PRO

فبراير '23

+84

في 0 قنوات

Get PRO

يناير '23

+272

في 0 قنوات

Get PRO

ديسمبر '22

+96

في 0 قنوات

Get PRO

نوفمبر '22

+494

في 0 قنوات

Get PRO

أكتوبر '22

+188

في 0 قنوات

Get PRO

سبتمبر '22

+128

في 0 قنوات

Get PRO

أغسطس '22

+136

في 0 قنوات

Get PRO

يوليو '22

+237

في 0 قنوات

Get PRO

يونيو '22

+118

في 0 قنوات

Get PRO

مايو '22

+58

في 0 قنوات

Get PRO

أبريل '22

+85

في 0 قنوات

Get PRO

مارس '22

+124

في 0 قنوات

Get PRO

فبراير '22

+212

في 0 قنوات

Get PRO

يناير '22

+324

في 0 قنوات

Get PRO

ديسمبر '21

+44

في 0 قنوات

Get PRO

نوفمبر '21

+32

في 0 قنوات

Get PRO

أكتوبر '21

+188

في 0 قنوات

Get PRO

سبتمبر '21

+422

في 0 قنوات

Get PRO

أغسطس '21

+171

في 0 قنوات

Get PRO

يوليو '21

+473

في 0 قنوات

التاريخ	نمو المشتركين	الإشارات	القنوات
26 أكتوبر	+6
25 أكتوبر	+6
24 أكتوبر	0
23 أكتوبر	+8
22 أكتوبر	+9
21 أكتوبر	+8
20 أكتوبر	+4
19 أكتوبر	+7
18 أكتوبر	0
17 أكتوبر	+3
16 أكتوبر	+1
15 أكتوبر	+4
14 أكتوبر	+1
13 أكتوبر	+14
12 أكتوبر	+3
11 أكتوبر	+28
10 أكتوبر	+16
09 أكتوبر	+5
08 أكتوبر	+27
07 أكتوبر	+15
06 أكتوبر	+23
05 أكتوبر	+14
04 أكتوبر	+28
03 أكتوبر	+23
02 أكتوبر	+25
01 أكتوبر	+19

منشورات القناة

🚀𝗠𝗔𝗦𝗧𝗘𝗥 𝗘𝗫𝗖𝗘𝗟 𝗙𝗢𝗥 𝗙𝗥𝗘𝗘 𝗜𝗡 𝟮𝟬𝟮𝟲! 📊 Discover 4 FREE Websites to learn Microsoft Excel from beginner to advanced level! 🎓 🔥 FREE Learning Resources 🔥 Beginner to Advanced Tutorials 🔥 Practical Examples & Exercises 🔥 Learn Anytime, Anywhere 🔗 𝗟𝗶𝗻𝗸👇:- https://pdlink.in/4jDfcCP ⚡ One powerful skill can open doors to multiple career opportunities!

2	What will this code print? text = "I like Java" new_text = text.replace("Java", "Python") print(new_text)	1 141
3	Which method is used to split a string into smaller parts?	1 057
4	What will be the output? text = "Programming" print(text[0:4])	1 043
5	What is the index of the first character in a Python string?	1 005
6	𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 📊 Build a strong foundation in Data Science .Explore Machine Learning and Deep Learning Eligibility :- Students • Freshers • Working Professionals 📅 Date:- 23 October 2026 ⏰ Time:- 7:00 PM–9:00 PM IST 💻 Mode:- Online 🔗 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇 :- https://pdlink.in/4i8MKGn 📢 Share this opportunity with your friends and classmates.	1 590
7	𝗠𝗜𝗖𝗥𝗢𝗦𝗢𝗙𝗧 𝗙𝗥𝗘𝗘 𝗗𝗔𝗧𝗔 𝗦𝗖𝗜𝗘𝗡𝗖𝗘 𝗥𝗘𝗦𝗢𝗨𝗥𝗖𝗘𝗦 𝟮𝟬𝟮𝟲! 🎓 Microsoft offers valuable FREE learning resources to help you develop in-demand technical skills! 💻 ✅ 100% FREE Learning Resources ✅ Beginner-Friendly Tutorials ✅ Self-Paced Learning ✅ Practical Skills for Real-World Projects ✅ Useful for Data Analytics & Data Science Career Preparation 🔗 𝗔𝗰𝗰𝗲𝘀𝘀 𝗔𝗟𝗟 𝟰 𝗙𝗥𝗘𝗘 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 👇:- https://pdlink.in/4k6ylNq ⚡ Your Data Science journey can start today — completely FREE!	1 417
8	𝗠𝗜𝗖𝗥𝗢𝗦𝗢𝗙𝗧 𝗙𝗥𝗘𝗘 𝗗𝗔𝗧𝗔 𝗦𝗖𝗜𝗘𝗡𝗖𝗘 𝗥𝗘𝗦𝗢𝗨𝗥𝗖𝗘𝗦 𝟮𝟬𝟮𝟲! 🎓 Microsoft offers valuable FREE learning resources to help you develop in-demand technical skills! 💻 ✅ 100% FREE Learning Resources ✅ Beginner-Friendly Tutorials ✅ Self-Paced Learning ✅ Practical Skills for Real-World Projects ✅ Useful for Data Analytics & Data Science Career Preparation 🔗 𝗔𝗰𝗰𝗲𝘀𝘀 𝗔𝗟𝗟 𝟰 𝗙𝗥𝗘𝗘 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 👇:- https://pdlink.in/4k6ylNq ⚡ Your Data Science journey can start today — completely FREE!	1
9	✅ Full-Stack Development Project Ideas 💻🚀 1️⃣ Portfolio Website Frontend: HTML, CSS, JS Backend (optional): Node.js for contact form ✓ Show your resume, projects, and links 2️⃣ Blog Platform Frontend: React Backend: Node.js + Express Database: MongoDB ✓ Users can write, edit, and delete posts 3️⃣ Task Manager Frontend: Vue.js Backend: Django REST Database: PostgreSQL ✓ Add, update, mark complete/incomplete tasks 4️⃣ E-commerce Store Frontend: Next.js Backend: Express.js Database: MongoDB ✓ Product listing, cart, payment (Stripe API) 5️⃣ Chat App (Real-time) Frontend: React Backend: Node.js + Socket.io ✓ Users can send/receive messages live 6️⃣ Job Board Frontend: HTML + Bootstrap Backend: Flask ✓ Admin can post jobs, users can apply 7️⃣ Auth System (Standalone) Frontend: Vanilla JS Backend: Express + JWT ✓ Email/password auth with protected routes 8️⃣ Notes App with Markdown Frontend: React Backend: Node + MongoDB ✓ Create, edit, and preview markdown notes 💬 Tap ❤️ for more!	1 888
10	𝗧𝗔𝗧𝗔 𝗙𝗥𝗘𝗘 𝗠𝗜𝗖𝗥𝗢-𝗜𝗡𝗧𝗘𝗥𝗡𝗦𝗛𝗜𝗣𝗦 𝟮𝟬𝟮𝟲! 🎓 ✅ 100% FREE Learning Experience ✅ Short Programs — Approximately 4–6 Hours ✅ Practical, Real-World Tasks ✅ Self-Paced & Online ✅ Certificate Opportunities for Your Resume & LinkedIn ✅ No Traditional Interview Process 🔗 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝗧𝗔𝗧𝗔 𝗙𝗥𝗘𝗘 𝗠𝗶𝗰𝗿𝗼-𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽𝘀👇:- https://pdlink.in/4yWgaPn ⚡ Don't wait for your first job to start gaining practical experience!	1 671
11	𝟰 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗧𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗖𝗼𝗱𝗶𝗻𝗴 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘😍 ✅ 100% FREE YouTube Learning ✅ Beginner-Friendly Programming Tutorials ✅ Learn Popular & In-Demand Tech Skills ✅ Study at Your Own Pace ✅ Build a Strong Foundation for Coding Interviews 🔗 𝗔𝗰𝗰𝗲𝘀𝘀 𝗔𝗟𝗟 𝟰 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 👇:- https://pdlink.in/3WcuMvi ⚡ Your coding journey can start today—completely FREE!	1 732
12	Time complexity: O(n) This is a very important array interview problem because it tests whether you can optimize a seemingly expensive problem. 🔹 14. What is the difference between a subarray and a subsequence? Answer: A subarray must contain contiguous elements. Example: [2, 3, 4] is a subarray of: [1, 2, 3, 4, 5] A subsequence does not need to be contiguous, but the original order must be maintained. Example: [1, 3, 5] is a subsequence of: [1, 2, 3, 4, 5] but it is not a contiguous subarray. This distinction becomes extremely important in Dynamic Programming problems such as Longest Common Subsequence. 🔹 15. How do you rotate an array? Example: Input: [1, 2, 3, 4, 5] Rotate right by 2: [4, 5, 1, 2, 3] One efficient approach uses the reversal technique. Conceptually: Reverse entire array Reverse first k elements Reverse remaining elements For: [1, 2, 3, 4, 5] rotate right by "2": Reverse all: [5, 4, 3, 2, 1] Reverse first 2: [4, 5, 3, 2, 1] Reverse remaining: [4, 5, 1, 2, 3] This technique can achieve: Time: O(n) Space: O(1) Learn to recognize patterns: ✔ Two Pointers ✔ Sliding Window ✔ Prefix Sum ✔ HashMap / HashSet ✔ Binary Search ✔ Sorting ✔ Kadane's Algorithm ✔ In-place modification Once you recognize the pattern, many seemingly different array problems become much easier to solve. Double Tap ❤️ For More ----- 2.86 ₽ · /balance_help	1 652
13	Average time complexity: O(n) Additional space: O(n) This is usually faster than comparing every pair, which can take O(n²). 🔹 8. What is the Two Sum problem? Answer: You are given an array and a target value. Find two elements whose sum equals the target. Example: Array: [2, 7, 11, 15] Target: 9 The answer is: 2 + 7 = 9 A HashMap can solve this efficiently. arr = [2, 7, 11, 15] target = 9 seen = {} for i, num in enumerate(arr): complement = target - num if complement in seen: print(seen[complement], i) break seen[num] = i Output: 0 1 Average time complexity: O(n) Space complexity: O(n) This is one of the most important patterns to recognize in array interviews. 🔹 9. How do you move all zeroes to the end? Example: Input: [0, 1, 0, 3, 12] Output: [1, 3, 12, 0, 0] A Two Pointer approach can solve this in-place. arr = [0, 1, 0, 3, 12] position = 0 for i in range(len(arr)): if arr[i] != 0: arr[position], arr[i] = arr[i], arr[position] position += 1 print(arr) Output: [1, 3, 12, 0, 0] Time complexity: O(n) Space complexity: O(1) 🔹 10. How do you find the missing number? Suppose the array contains numbers from "0" to "n", but one number is missing. Example: [3, 0, 1] The missing number is: 2 One efficient approach uses the expected sum: arr = [3, 0, 1] n = len(arr) expected_sum = n * (n + 1) // 2 actual_sum = sum(arr) missing = expected_sum - actual_sum print(missing) Output: 2 Time complexity: O(n) Space complexity: O(1) 🔹 11. What is the difference between Linear Search and Binary Search? Answer: Linear Search checks elements one by one. Time: O(n) It can work on unsorted data. Binary Search repeatedly divides the search space approximately in half. Time: O(log n) It requires suitable sorted data. For example: Linear Search: 10 → 20 → 30 → 40 → 50 Binary Search: 30 / \ 10 40... The key interview point is not simply memorizing the complexities. You should understand when Binary Search can actually be applied. 🔹 12. What is an in-place algorithm? Answer: An in-place algorithm modifies the input data structure while using only a small amount of additional memory. For example, reversing an array using two pointers: arr = [1, 2, 3, 4] left = 0 right = len(arr) - 1 while left < right: arr[left], arr[right] = arr[right], arr[left] left += 1 right -= 1 No second array is created. Therefore, the extra space used is: O(1) 🔹 13. What is the Maximum Subarray problem? Answer: You are given an array of integers and need to find the contiguous subarray with the maximum sum. Example: [-2, 1, -3, 4, -1, 2, 1, -5, 4] The maximum-sum contiguous subarray is: [4, -1, 2, 1] Its sum is: 6 A famous solution uses Kadane's Algorithm. arr = [-2, 1, -3, 4, -1, 2, 1, -5, 4] current = arr[0] maximum = arr[0] for i in range(1, len(arr)): current = max(arr[i], current + arr[i]) maximum = max(maximum, current) print(maximum) Output: 6	1 162
14	📦 Common Array Interview Questions with Answers After understanding the fundamentals of Arrays, let's look at the questions frequently asked in coding and technical interviews. 🔹 1. What is an Array? Answer: An array is a data structure used to store multiple elements in an ordered sequence. Each element can generally be accessed using an index. Example: arr = [10, 20, 30, 40] print(arr[2]) Output: 30 The index of "30" is "2". The main advantage of an array is efficient index-based access. 🔹 2. What is the time complexity of accessing an array element? Answer: Accessing an element by its index is typically: O(1) Example: arr = [10, 20, 30, 40, 50] print(arr[3]) The system can directly access the element at index "3" rather than searching through all previous elements. This is one of the biggest advantages of arrays. 🔹 3. What is the difference between an Array and a Linked List? Answer: An array stores elements in a contiguous structure in traditional array implementations, while a linked list stores elements as separate nodes connected using references/pointers. Arrays provide fast index-based access: arr[i] → O(1) Linked lists generally require traversal to reach a particular position: Access → O(n) However, linked lists can be advantageous when inserting or deleting nodes at a known position because elements do not need to be shifted like they may in an array. The choice depends on the problem. 🔹 4. How do you find the largest element in an array? Answer: Traverse the array while maintaining the largest value found so far. Example: arr = [10, 45, 23, 67, 12] largest = arr[0] for num in arr: if num > largest: largest = num print(largest) Output: 67 Time complexity: O(n) Space complexity: O(1) 🔹 5. How do you find the second-largest element? Answer: We can maintain two variables: largest second_largest Example: arr = [10, 45, 23, 67, 12] largest = float('-inf') second_largest = float('-inf') for num in arr: if num > largest: second_largest = largest largest = num elif num > second_largest and num != largest: second_largest = num print(second_largest) Output: 45 This can be solved in: Time: O(n) Space: O(1) An important interview follow-up is: "What if all elements are equal?" A good solution should explicitly handle the case where a distinct second-largest element does not exist. 🔹 6. How do you reverse an array? Answer: One approach is to use two pointers. Example: arr = [1, 2, 3, 4, 5] left = 0 right = len(arr) - 1 while left < right: arr[left], arr[right] = arr[right], arr[left] left += 1 right -= 1 print(arr) Output: [5, 4, 3, 2, 1] Time complexity: O(n) Space complexity: O(1) This is an example of an in-place algorithm because we modify the original array instead of creating another array. 🔹 7. How do you find duplicate elements in an array? Answer: A HashSet can be used to keep track of elements already encountered. Example: arr = [1, 2, 3, 2, 4, 1] seen = set() duplicates = set() for num in arr: if num in seen: duplicates.add(num) else: seen.add(num) print(duplicates) Output: {1, 2}	1 171
15	𝗜𝗕𝗠 𝗙𝗥𝗘𝗘 𝗧𝗘𝗖𝗛 𝗖𝗢𝗨𝗥𝗦𝗘𝗦 𝟮𝟬𝟮𝟲! 🎓 Explore IBM Cognitive Class and build in-demand tech skills without spending money on course fees! 📚 𝗧𝗼𝗽 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗘𝘅𝗽𝗹𝗼𝗿𝗲:- 💫 Artificial Intelligence & Machine Learning 🔥Python for Data Science 📊 Data Science Fundamentals ☁️ Cloud Computing & Big Data 🔗 𝗦𝘁𝗮𝗿𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗛𝗲𝗿𝗲 👇 https://pdlink.in/4zGswuX 📲 Save & Share with friends preparing for tech careers! 🔥	1 499
16	𝗗𝗮𝘁𝗮 𝘀𝗰𝗶𝗲𝗻𝗰𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗪𝗶𝘁𝗵 𝗔𝗜😍 Future Ready Data Science and AI Skills You Build ->Build Python, Machine Learning, and AI Skills ->Get Mentored by Industry Experts ->Practice with Mock Interviews ->Ace Your Placements & Land Dream Tech Job 🤝 500+ Partner Companies \|🎓 2000+ Students Placed 🔗 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗡𝗼𝘄 👇 :- https://pdlink.in/47pezFz 📲 Save & Share with Friends Preparing for Data Science & AI Jobs!	1 698
17	Hey guys, Here is the list of best curated Telegram Channels for free education 👇👇 Free Courses with Certificate Web Development Free Resources Data Science & Machine Learning Programming Free Books Python Free Courses Python Interview Resources Ethical Hacking & Cyber Security English Speaking & Communication Stock Marketing & Investment Banking Coding Projects Jobs & Internship Opportunities Learn Digital Marketing Crack your coding Interviews Udemy Free Courses with Certificate Earn $10000 with ChatGPT Google Jobs Java Programming Free Resources Learn Blockchain & Crypto Data Analyst Jobs Artificial Intelligence Free access to all the Paid Channels 👇👇 https://t.me/addlist/4q2PYC0pH_VjZDk5 Do react with ♥️ if you need more content free resources ENJOY LEARNING 👍👍	2 034
18	📢 Advertising in this channel You can place an ad via Telega․io. It takes just a few minutes. Formats and current rates: View details	773
19	𝗧𝗢𝗣 𝗙𝗥𝗘𝗘 𝗖𝗢𝗨𝗥𝗦𝗘𝗦 𝗧𝗢 𝗕𝗢𝗢𝗦𝗧 𝗬𝗢𝗨𝗥 𝗦𝗞𝗜𝗟𝗟𝗦 𝗜𝗡 𝟮𝟬𝟮𝟲! Explore FREE online learning resources to develop in-demand skills and improve your career opportunities! 🎓 Why Explore These Courses? ✅ Learn valuable professional skills ✅ Improve your resume ✅ Build practical knowledge ✅ Learn at your own pace 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗛𝗲𝗿𝗲👇 https://pdlink.in/3VBdt6V 💡 Learn New Skills → Build Confidence → Unlock Career Opportunities!	3 131
20	🚀 𝗪𝗵𝗶𝗰𝗵 𝗧𝗲𝗰𝗵 𝗦𝗸𝗶𝗹𝗹 𝗪𝗶𝗹𝗹 𝗬𝗼𝘂 𝗠𝗮𝘀𝘁𝗲𝗿 𝗶𝗻 𝟮𝟬𝟮𝟲? Want to build apps, uncover insights, or create AI solutions? Explore certification courses that match your career goals! 🎯 💻 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 👉 https://pdlink.in/3SuUeuD 📊 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 👉 https://pdlink.in/45vk5ph 💫𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 👉 https://pdlink.in/4fWJVID 🔥 Choose your path, sharpen your skills, and take the next step towards your tech career! 📌 Save this post & share it with a friend planning to upskill.	3 003

عرض جميع المنشورات