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c_forcoding

c_forcoding

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C++, C, python & DSA and many more info about programming so just join our coders community ☺️

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📈 Analytical overview of Telegram channel c_forcoding

Channel c_forcoding (@cforcodingofficial) in the English language segment is an active participant. Currently, the community unites 18 146 subscribers, ranking 5 586 in the Technologies & Applications category and 29 620 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 18 146 subscribers.

According to the latest data from 31 May, 2025, the channel demonstrates stable activity. Although there has been a change in the number of participants by -191 over the last 30 days and by 0 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 0%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 0 views. Within the first day, a publication typically gains 0 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
  • Thematic interests: Content is focused on key topics such as dsa, learning, programming, certification, sql.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
C++, C, python & DSA and many more info about programming so just join our coders community ☺️

Thanks to the high frequency of updates (latest data received on 01 June, 2025), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

18 146
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-19130 days
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January '24
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December '23
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Channel Posts
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100 DBMS & SQL Interview Questions https://drive.google.com/file/d/1irA1RZ6TyHPhjRLZM10ReQ27QBbQ0YZg/view?usp=drive_link
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React JS Interview Questions.pdf
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SQL Complete Handwritten Notes.pdf
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🔟 Python resources to boost your resume 👇👇 𝟭. 𝗜𝗻𝘁𝗿𝗼 𝘁𝗼 𝗣𝘆𝘁𝗵𝗼𝗻 This a great course to get started with learning Python, if you have no coding experience. 👉 https://kaggle.com/learn/intro-to-programming 𝟮. 𝗣𝘆𝘁𝗵𝗼𝗻 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗰𝗼𝘂𝗿𝘀𝗲 Learn the fundamentals like functions, loops, conditional statements, etc of the most important language for data science. 👉 https://kaggle.com/learn/python 𝟯. 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗘𝘀𝘀𝗲𝗻𝘁𝗶𝗮𝗹𝘀 𝗶𝗻 𝗣𝘆𝘁𝗵𝗼𝗻 Part 1 prepares you for PCEP – Certified Entry-Level Python Programmer Certification. Part 2 prepares you for PCAP – Certified Associate in Python Programming Certification. 👉 https://netacad.com/courses/programming/pcap-programming-essentials-python 𝟰. Python Data Structure and Algorithms 👉https://python.org 𝟱. 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻 You'll learn Python fundamentals like variables, loops, conditionals, and functions. Then you'll quickly ramp up to complex data structures, networking, relational databases, and data visualization. 👉 https://freecodecamp.org/learn/scientific-computing-with-python/ 𝟲. 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻 You'll learn how to read data from sources like CSVs and SQL, and how to use libraries like Numpy, Pandas, Matplotlib, and Seaborn to process and visualize data. 👉 https://freecodecamp.org/learn/data-analysis-with-python/ 𝟳. 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻 You will learn how to implement the graphical representation of data in order to interactively and efficiently convey insights to clients, customers, and stakeholders in general. 👉 https://cognitiveclass.ai/courses/data-visualization-python#about-course 𝟴. 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻 You will build several neural networks and explore more advanced techniques like natural language processing and reinforcement learning. 👉 https://freecodecamp.org/learn/machine-learning-with-python/ 9. Practice Python 👉 https://learnpython.org/ 10. Free Python course by datacamp 👉 https://campus.datacamp.com/courses/intro-to-python-for-data-science/chapter-1-python-basics?ex=1 ENJOY LEARNING 👍👍
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Free Certification Courses to Learn Machine Learning in 2024: 1. Python 🔗 https://imp.i384100.net/5gmXXo 2. SQL 🔗 https://edx.org/learn/relational-databases/stanford-university-databases-relational-databases-and-sql 3. Statistics and R 🔗 https://edx.org/learn/r-programming/harvard-university-statistics-and-r 4. Data Science: R Basics 🔗https://edx.org/learn/r-programming/harvard-university-data-science-r-basics 5. Excel and PowerBI 🔗 https://learn.microsoft.com/en-gb/training/paths/modern-analytics/ 6. Data Science: Visualization 🔗https://edx.org/learn/data-visualization/harvard-university-data-science-visualization 7. Data Science: Machine Learning 🔗https://edx.org/learn/machine-learning/harvard-university-data-science-machine-learning 8. R 🔗https://imp.i384100.net/rQqomy 9. Tableau 🔗https://imp.i384100.net/MmW9b3 10. PowerBI 🔗 https://lnkd.in/dpmnthEA 11. Data Science: Productivity Tools 🔗 https://lnkd.in/dGhPYg6N 12. Data Science: Probability 🔗https://mygreatlearning.com/academy/learn-for-free/courses/probability-for-data-science 13. Mathematics 🔗http://matlabacademy.mathworks.com 14. Statistics 🔗 https://lnkd.in/df6qksMB 15. Data Visualization 🔗https://imp.i384100.net/k0X6vx 16. Machine Learning 🔗 https://imp.i384100.net/nLbkN9 17. Deep Learning 🔗 https://imp.i384100.net/R5aPOR 18. Data Science: Linear Regression 🔗https://pll.harvard.edu/course/data-science-linear-regression/2023-10 19. Data Science: Wrangling 🔗https://edx.org/learn/data-science/harvard-university-data-science-wrangling 20. Linear Algebra 🔗 https://pll.harvard.edu/course/data-analysis-life-sciences-2-introduction-linear-models-and-matrix-algebra 21. Probability 🔗 https://pll.harvard.edu/course/data-science-probability 22. Introduction to Linear Models and Matrix Algebra 🔗https://edx.org/learn/linear-algebra/harvard-university-introduction-to-linear-models-and-matrix-algebra 23. Data Science: Capstone 🔗 https://edx.org/learn/data-science/harvard-university-data-science-capstone 24. Data Analysis 🔗 https://pll.harvard.edu/course/data-analysis-life-sciences-4-high-dimensional-data-analysis 25. IBM Data Science Professional Certificate https://imp.i384100.net/9gxbbY 26. Neural Networks and Deep Learning https://imp.i384100.net/DKrLn2 27. Supervised Machine Learning: Regression and Classification https://imp.i384100.net/g1KJEA Happy Learning!🌟 Follow x.com/manishkumar_dev for more such content.
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