Coding Projects
رفتن به کانال در Telegram
Channel specialized for advanced concepts and projects to master: * Python programming * Web development * Java programming * Artificial Intelligence * Machine Learning Managed by: @love_data
نمایش بیشتر
شبکه:📈 تحلیل کانال تلگرام Coding Projects
کانال Coding Projects (@programming_experts) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 67 940 مشترک است و جایگاه 1 914 را در دسته فناوری و برنامه‌ها و رتبه 4 746 را در منطقه الهند دارد.
📊 شاخص‌های مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 67 940 مشترک جذب کرده است.
بر اساس آخرین داده‌ها در تاریخ 27 اکتبر, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 187 و در ۲۴ ساعت گذشته برابر 1 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 3.29% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.05% واکنش نسبت به کل مشترکان کسب می‌کند.
- دسترسی پست‌ها: هر پست به طور میانگین 2 233 بازدید دریافت می‌کند. در اولین روز معمولاً 710 بازدید جمع‌آوری می‌شود.
- واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 5 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند |--, algorithm, array, framework, javascript تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاه‌های شخصی توصیف می‌کند:
“Channel specialized for advanced concepts and projects to master:
* Python programming
* Web development
* Java programming
* Artificial Intelligence
* Machine Learning
Managed by: @love_data”
به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 28 اکتبر, 2026)، کانال همواره به‌روز و دارای دسترسی بالاست. تحلیل‌ها نشان می‌دهد مخاطبان به‌طور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامه‌ها تبدیل کرده‌اند.
67 940
مشترکین
+124 ساعت
-77 روز
+18730 روز
در حال بارگذاری داده‌ها
کانال‌های مشابه
ابر برچسب‌ها
اشارات ورودی و خروجی
---
---
---
---
---
---
جذب مشترکین
اکتبر '26اکتبر '26
اکتبر '26
+297
در 1 کانال‌ها
سپتامبر '26
+453
در 2 کانال‌ها
Get PRO
اوت '26
+593
در 2 کانال‌ها
Get PRO
ژوئیه '26
+749
در 4 کانال‌ها
Get PRO
ژوئن '26
+660
در 2 کانال‌ها
Get PRO
مه '26
+833
در 5 کانال‌ها
Get PRO
آوریل '26
+452
در 2 کانال‌ها
Get PRO
مارس '26
+230
در 1 کانال‌ها
Get PRO
فوریه '26
+721
در 9 کانال‌ها
Get PRO
ژانویه '26
+975
در 6 کانال‌ها
Get PRO
دسامبر '25
+1 062
در 2 کانال‌ها
Get PRO
نوامبر '25
+1 184
در 3 کانال‌ها
Get PRO
اکتبر '25
+1 003
در 7 کانال‌ها
Get PRO
سپتامبر '25
+407
در 8 کانال‌ها
Get PRO
اوت '25
+481
در 10 کانال‌ها
Get PRO
ژوئیه '25
+529
در 15 کانال‌ها
Get PRO
ژوئن '25
+870
در 26 کانال‌ها
Get PRO
مه '25
+1 918
در 19 کانال‌ها
Get PRO
آوریل '25
+3 928
در 18 کانال‌ها
Get PRO
مارس '25
+1 717
در 17 کانال‌ها
Get PRO
فوریه '25
+552
در 22 کانال‌ها
Get PRO
ژانویه '25
+689
در 26 کانال‌ها
Get PRO
دسامبر '24
+739
در 6 کانال‌ها
Get PRO
نوامبر '24
+2 623
در 9 کانال‌ها
Get PRO
اکتبر '24
+3 178
در 10 کانال‌ها
Get PRO
سپتامبر '24
+2 776
در 7 کانال‌ها
Get PRO
اوت '24
+2 755
در 6 کانال‌ها
Get PRO
ژوئیه '24
+4 830
در 11 کانال‌ها
Get PRO
ژوئن '24
+4 897
در 16 کانال‌ها
Get PRO
مه '24
+4 057
در 15 کانال‌ها
Get PRO
آوریل '24
+4 015
در 14 کانال‌ها
Get PRO
مارس '24
+4 687
در 6 کانال‌ها
Get PRO
فوریه '24
+4 403
در 2 کانال‌ها
Get PRO
ژانویه '24
+5 086
در 3 کانال‌ها
Get PRO
دسامبر '23
+3 430
در 2 کانال‌ها
Get PRO
نوامبر '23
+569
در 9 کانال‌ها
Get PRO
اکتبر '23
+782
در 4 کانال‌ها
Get PRO
سپتامبر '23
+637
در 0 کانال‌ها
Get PRO
اوت '23
+970
در 0 کانال‌ها
Get PRO
ژوئیه '23
+872
در 0 کانال‌ها
Get PRO
ژوئن '23
+45
در 0 کانال‌ها
Get PRO
مه '23
+95
در 0 کانال‌ها
Get PRO
آوریل '23
+123
در 0 کانال‌ها
Get PRO
مارس '23
+95
در 0 کانال‌ها
Get PRO
فوریه '23
+84
در 0 کانال‌ها
Get PRO
ژانویه '23
+272
در 0 کانال‌ها
Get PRO
دسامبر '22
+96
در 0 کانال‌ها
Get PRO
نوامبر '22
+494
در 0 کانال‌ها
Get PRO
اکتبر '22
+188
در 0 کانال‌ها
Get PRO
سپتامبر '22
+128
در 0 کانال‌ها
Get PRO
اوت '22
+136
در 0 کانال‌ها
Get PRO
ژوئیه '22
+237
در 0 کانال‌ها
Get PRO
ژوئن '22
+118
در 0 کانال‌ها
Get PRO
مه '22
+58
در 0 کانال‌ها
Get PRO
آوریل '22
+85
در 0 کانال‌ها
Get PRO
مارس '22
+124
در 0 کانال‌ها
Get PRO
فوریه '22
+212
در 0 کانال‌ها
Get PRO
ژانویه '22
+324
در 0 کانال‌ها
Get PRO
دسامبر '21
+44
در 0 کانال‌ها
Get PRO
نوامبر '21
+32
در 0 کانال‌ها
Get PRO
اکتبر '21
+188
در 0 کانال‌ها
Get PRO
سپتامبر '21
+422
در 0 کانال‌ها
Get PRO
اوت '21
+171
در 0 کانال‌ها
Get PRO
ژوئیه '21
+473
در 0 کانال‌ها
| تاریخ | رشد مشترکین | اشارات | کانال‌ها | |
| 27 اکتبر | 0 | |||
| 26 اکتبر | +6 | |||
| 25 اکتبر | +6 | |||
| 24 اکتبر | 0 | |||
| 23 اکتبر | +8 | |||
| 22 اکتبر | +9 | |||
| 21 اکتبر | +8 | |||
| 20 اکتبر | +4 | |||
| 19 اکتبر | +7 | |||
| 18 اکتبر | 0 | |||
| 17 اکتبر | +3 | |||
| 16 اکتبر | +1 | |||
| 15 اکتبر | +4 | |||
| 14 اکتبر | +1 | |||
| 13 اکتبر | +14 | |||
| 12 اکتبر | +3 | |||
| 11 اکتبر | +28 | |||
| 10 اکتبر | +16 | |||
| 09 اکتبر | +5 | |||
| 08 اکتبر | +27 | |||
| 07 اکتبر | +15 | |||
| 06 اکتبر | +23 | |||
| 05 اکتبر | +14 | |||
| 04 اکتبر | +28 | |||
| 03 اکتبر | +23 | |||
| 02 اکتبر | +25 | |||
| 01 اکتبر | +19 |
پست‌های کانال
𝗠𝗔𝗦𝗧𝗘𝗥 𝗦𝗤𝗟 𝗙𝗢𝗥 𝗙𝗥𝗘𝗘 𝗜𝗡 𝟮𝟬𝟮𝟲 📊
🔥 Essential Skill for Data Analytics
🔥 Useful for Data Science & Backend Development
🔥 Practice Real-World Database Queries
🔥 Strengthen Your Technical Interview Skills
🎯 Perfect For:- Students | Freshers | Job Seekers | Working Professionals
🔗 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝗔𝗟𝗟 𝟱 𝗙𝗥𝗘𝗘 𝗦𝗤𝗟 𝗪𝗲𝗯𝘀𝗶𝘁𝗲𝘀 👇:-
https://pdlink.in/4yOlWlh
📌 SAVE this post & SHARE it with friends preparing for tech careers!
| 2 |  🚀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! | 1 255 |
| 3 | What will this code print?
text = "I like Java"
new_text = text.replace("Java", "Python") print(new_text) | 1 513 |
| 4 | Which method is used to split a string into smaller parts? | 1 384 |
| 5 | What will be the output?
text = "Programming" print(text[0:4]) | 1 370 |
| 6 | What is the index of the first character in a Python string? | 1 266 |
| 7 |  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. | 1 796 |
| 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! | 1 536 |
| 9 |  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 |
| 10 | ✅ 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! | 1 923 |
| 11 |  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! | 1 743 |
| 12 |  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! | 1 788 |
| 13 | 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 | 1 719 |
| 14 | 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 | 1 239 |
| 15 | 📦 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} | 1 238 |
| 16 |  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! 🔥 | 1 543 |
| 17 |  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! | 1 789 |
| 18 | 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 👍👍 | 2 078 |
| 19 |  📢 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 |
| 20 |  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! | 3 178 |
