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
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Network:📈 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 77 282 subscribers, ranking 2 004 in the Education category and 4 033 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 77 282 subscribers.
According to the latest data from 28 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 347 over the last 30 days and by 6 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 2.66%. Within the first 24 hours after publication, content typically collects 1.12% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 057 views. Within the first day, a publication typically gains 866 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
- 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 29 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 Education category.
77 282
Subscribers
+624 hours
-107 days
+34730 days
Posts Archive
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Which chart is best for showing trends over time in Excel?
Which Excel feature is commonly used to summarize large datasets?
Which Excel function is used to calculate the total of a range of numbers?
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👉 Excel is one of the most widely used tools in:
✔ Data Analysis
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✔ Finance
✔ Operations
Even today, Excel is heavily used in companies worldwide.
🔹 1. Why Excel is Important?
✔ Easy to use
✔ Fast data analysis
✔ Great for reporting
✔ Common interview skill
🔥 2. Important Excel Features for Data Analysis
✔ Formulas & Functions
✔ Sorting & Filtering
✔ Conditional Formatting
✔ Pivot Tables
✔ Charts & Dashboards
🔹 3. Basic Formulas ⭐
✅ SUM
Adds values.
=SUM(A1:A10)
✅ AVERAGE
Finds average value.
=AVERAGE(A1:A10)
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Counts numbers.
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✅ MAX & MIN
=MAX(A1:A10)
=MIN(A1:A10)
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Used for conditions.
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Searches for values in tables.
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Used for:
✔ Summarizing data
✔ Grouping information
✔ Quick analysis
Example:
👉 Total sales by region.
🔹 7. Conditional Formatting
Highlights important values.
Examples:
✔ High sales → Green
✔ Low sales → Red
🔹 8. Charts in Excel
Popular charts:
✔ Bar Chart
✔ Pie Chart
✔ Line Chart
✔ Combo Chart
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✔ Used in almost every company
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✔ Frequently asked in interviews
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✔ Learn formulas
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Which chart is best for showing trends over time?
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✅ Dashboard Design Principles 📊🎨
👉 Creating dashboards is not just about charts.
A good dashboard should be:
✔ Clear
✔ Interactive
✔ Easy to understand
✔ Business-focused
🔹 1. What is a Dashboard?
A dashboard is a visual interface that shows:
📈 KPIs
📊 Charts
📉 Business insights
👉 Used for decision-making.
🔥 2. Goals of a Good Dashboard
✔ Show important insights quickly
✔ Reduce confusion
✔ Help users take action
🔹 3. Key Dashboard Principles ⭐
✅ Keep It Simple
❌ Too many visuals = confusion
✔ Use only important charts
✅ Use Proper Chart Types
Purpose : Best Chart
Comparison : Bar Chart
Trends : Line Chart
Distribution : Histogram
Percentage : Pie Chart
✅ Maintain Visual Hierarchy
👉 Important KPIs should appear at the top.
Example:
✔ Revenue
✔ Profit
✔ Customer Count
🔹 4. Use Consistent Colors ⭐
✔ Same color for same category
✔ Avoid too many bright colors
Example:
🟢 Profit
🔴 Loss
🔹 5. Add Filters & Interactivity
Use:
✔ Slicers
✔ Drill-through
✔ Dropdown filters
👉 Helps users explore data.
🔹 6. Dashboard Layout Best Practices
Top Section
👉 KPIs & summary cards
Middle Section
👉 Main charts
Bottom Section
👉 Detailed tables
🔹 7. Common Dashboard Mistakes ❌
❌ Too much data
❌ Wrong chart selection
❌ Poor color choices
❌ Cluttered layout
🔹 8. Storytelling with Data ⭐
A dashboard should answer:
✔ What happened?
✔ Why did it happen?
✔ What should we do next?
🔹 9. Why Dashboard Design Matters?
✔ Better business decisions
✔ Improved user experience
✔ Professional reporting
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✔ Learn dashboard principles
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