Python Projects & Free Books
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Python Interview Projects & Free Courses Admin: @Coderfun
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Network:📈 Analytical overview of Telegram channel Python Projects & Free Books
Channel Python Projects & Free Books (@pythonfreebootcamp) in the English language segment is an active participant. Currently, the community unites 40 801 subscribers, ranking 3 179 in the Technologies & Applications category and 9 475 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 40 801 subscribers.
According to the latest data from 27 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -59 over the last 30 days and by -12 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 3.31%. 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 1 352 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 1.
- Thematic interests: Content is focused on key topics such as learning, analyst, framework, link:-, structure.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Python Interview Projects & Free Courses
Admin: @Coderfun”
Thanks to the high frequency of updates (latest data received on 28 August, 2026), 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.
40 801
Subscribers
-1224 hours
-467 days
-5930 days
Posts Archive
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Many people pay too much to learn Python, but my mission is to break down barriers. I have shared complete learning series to learn Python from scratch.
Here are the links to the Python series
Complete Python Topics for Data Analyst: https://t.me/sqlspecialist/548
Part-1: https://t.me/sqlspecialist/562
Part-2: https://t.me/sqlspecialist/564
Part-3: https://t.me/sqlspecialist/565
Part-4: https://t.me/sqlspecialist/566
Part-5: https://t.me/sqlspecialist/568
Part-6: https://t.me/sqlspecialist/570
Part-7: https://t.me/sqlspecialist/571
Part-8: https://t.me/sqlspecialist/572
Part-9: https://t.me/sqlspecialist/578
Part-10: https://t.me/sqlspecialist/577
Part-11: https://t.me/sqlspecialist/578
Part-12:
https://t.me/sqlspecialist/581
Part-13: https://t.me/sqlspecialist/583
Part-14: https://t.me/sqlspecialist/584
Part-15: https://t.me/sqlspecialist/585
I saw a lot of big influencers copy pasting my content after removing the credits. It's absolutely fine for me as more people are getting free education because of my content.
But I will really appreciate if you share credits for the time and efforts I put in to create such valuable content. I hope you can understand.
Complete SQL Topics for Data Analysts: https://t.me/sqlspecialist/523
Complete Power BI Topics for Data Analysts: https://t.me/sqlspecialist/588
I'll continue with learning series on Excel & Tableau.
Thanks to all who support our channel and share the content with proper credits. You guys are really amazing.
Hope it helps :)
𝐆𝐨𝐨𝐠𝐥𝐞 𝐅𝐑𝐄𝐄 𝐀𝐈/𝐌𝐋 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞😍
Unlock the world of AI/ML with Google’s completely free course series!
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This post is for beginners who decided to learn Data Science. I want to tell you that becoming a data scientist is a journey (6 months - 1 year at least) and not a 1 month thing where u do some courses and you are a data scientist. There are different fields in Data Science that you have to first get familiar and strong in basics as well as do hands-on to get the abilities that are required to function in a full time job opportunity. Then further delve into advanced implementations.
There are plenty of roadmaps and online content both paid and free that you can follow. In a nutshell. A few essential things that will be necessary and in no particular order that will at least get your data science journey started are below:
Basic Statistics, Linear Algebra, calculus, probability
Programming language (R or Python) - Preferably Python if you rather want to later on move into a developer role instead of sticking to data science.
Machine Learning - All of the above will be used here to implement machine learning concepts.
Data Visualisation - again it could be simple excel or via r/python libraries or tools like Tableau,PowerBI etc.
This can be overwhelming but again its just an indication of what lies ahead. So most important thing is to just START instead of just contemplating the best way to go about this. Since lot of things can be learnt independently as well in no particular order.
You can use the below Sources to prepare your own roadmap:
@free4unow_backup - some free courses from here
@datasciencefun - check & search in this channel with #freecourses
Data Science - https://365datascience.pxf.io/q4m66g
Python - https://bit.ly/45rlWZE
Kaggle - https://www.kaggle.com/learn
𝐀𝐦𝐚𝐳𝐨𝐧 𝐅𝐑𝐄𝐄 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 😍
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𝐒𝐐𝐋 𝐅𝐑𝐄𝐄 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 😍
🚀 Here are some top resources offering free courses to help you learn SQL from scratch or level up your skills.
Whether you're preparing for interviews, aiming for a job in data analytics, or improving your database knowledge, these courses have got you covered!
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Any person learning deep learning or artificial intelligence in particular, know that there are ultimately two paths that they can go:
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I outlined a roadmap for computer vision I believe many beginners will find helpful.
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FREE BOOKS
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Download programming books for FREE, all books from 2019!
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5 Essential Portfolio Projects for data analysts 😄👇
1. Exploratory Data Analysis (EDA) on a Real Dataset: Choose a dataset related to your interests, perform thorough EDA, visualize trends, and draw insights. This showcases your ability to understand data and derive meaningful conclusions.
Free websites to find datasets: https://t.me/DataPortfolio/8
2. Predictive Modeling Project: Build a predictive model, such as a linear regression or classification model. Use a dataset to train and test your model, and evaluate its performance. Highlight your skills in machine learning and statistical analysis.
3. Data Cleaning and Transformation: Take a messy dataset and demonstrate your skills in cleaning and transforming data. Showcase your ability to handle missing values, outliers, and prepare data for analysis.
4. Dashboard Creation: Utilize tools like Tableau or Power BI to create an interactive dashboard. This project demonstrates your ability to present data insights in a visually appealing and user-friendly manner.
5. Time Series Analysis: Work with time-series data to forecast future trends. This could involve stock prices, weather data, or any other time-dependent dataset. Showcase your understanding of time-series concepts and forecasting techniques.
Share with credits: https://t.me/sqlspecialist
Like it if you need more posts like this 😄❤️
Hope it helps :)
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