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Data Science & Machine Learning

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Join this channel to learn data science, artificial intelligence and machine learning with funny quizzes, interesting projects and amazing resources for free For collaborations: @love_data

Network: Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT ExpertIndia3 811Education2 020...

📈 Analytical overview of Telegram channel Data Science & Machine Learning

Channel Data Science & Machine Learning (@datasciencefun) in the English language segment is an active participant. Currently, the community unites 77 616 subscribers, ranking 2 020 in the Education category and 3 811 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 77 616 subscribers.

According to the latest data from 14 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -147 over the last 30 days and by -20 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 2.41%. Within the first 24 hours after publication, content typically collects 0.97% reactions from the total number of subscribers.
Post reach: On average, each post receives 1 872 views. Within the first day, a publication typically gains 755 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.
Thematic interests: Content is focused on key topics such as learning, accuracy, distribution, panda, dataset.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Join this channel to learn data science, artificial intelligence and machine learning with funny quizzes, interesting projects and amazing resources for free For collaborations: @love_data”

Thanks to the high frequency of updates (latest data received on 15 November, 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 Education category.

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77 616

Subscribers

-2024 hours

-947 days

-14730 days

1 872

Post views

~ 75524 hours

~ 1 04848 hours

2.41%

Engagement rate

~ 2

Posts per day

Ads index

Posts Archive

77 616

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TOP 10 SQL Concepts for Job Interview 1. Aggregate Functions (SUM/AVG) 2. Group By and Order By 3. JOINs (Inner/Left/Right) 4. Union and Union All 5. Date and Time processing 6. String processing 7. Window Functions (Partition by) 8. Subquery 9. View and Index 10. Common Table Expression (CTE) TOP 10 Statistics Concepts for Job Interview 1. Sampling 2. Experiments (A/B tests) 3. Descriptive Statistics 4. p-value 5. Probability Distributions 6. t-test 7. ANOVA 8. Correlation 9. Linear Regression 10. Logistics Regression TOP 10 Python Concepts for Job Interview 1. Reading data from file/table 2. Writing data to file/table 3. Data Types 4. Function 5. Data Preprocessing (numpy/pandas) 6. Data Visualisation (Matplotlib/seaborn/bokeh) 7. Machine Learning (sklearn) 8. Deep Learning (Tensorflow/Keras/PyTorch) 9. Distributed Processing (PySpark) 10. Functional and Object Oriented Programming #DataScienceWithDrAngshu #DataScience #Analytics #BigData #MachineLearning #ArtificialIntelligence #Python #SQL #Statistics #DataVisualisation #Experiments #Interview #Job

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77 616

How a fresher in data science can get a job? ©How fresher can get a job as a data scientist?© ans:-India as a job market is highly resistant to hire data scientist as a fresher. Everyone out there asks for at least 2 years of experience, but then the question is where will we get the two years experience from? The important thing here to build a portfolio. As you are a fresher I would assume you had learnt data science through online courses. They only teach you the basics, the analytical skills required to clean the data and apply machine learning algorithms to them comes only from practice. Do some real-world data science projects, participate in Kaggle competition. kaggle provides data sets for practice as well. Whatever projects you do, create a GitHub repository for it. Place all your projects there so when a recruiter is looking at your profile they know you have hands-on practice and do know the basics. This will take you a long way. All the major data science jobs for freshers will only be available through off-campus interviews. Some companies that hires data scientists are: Siemens Accenture IBM Cerner Creating a technical portfolio will showcase the knowledge you have already gained and that is essential while you got out there as a fresher and try to find a data scientist job.