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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Red:📈 Análisis del canal de Telegram Data Science & Machine Learning
El canal Data Science & Machine Learning (@datasciencefun) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 77 281 suscriptores, ocupando la posición 2 001 en la categoría Educación y el puesto 3 988 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 77 281 suscriptores.
Según los últimos datos del 28 agosto, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 347, y en las últimas 24 horas de 6, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.66%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.12% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 2 057 visualizaciones. En el primer día suele acumular 866 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 3.
- Intereses temáticos: El contenido se centra en temas clave como learning, accuracy, distribution, panda, dataset.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“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”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 29 agosto, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Educación.
77 281
Suscriptores
+624 horas
-107 días
+34730 días
Archivo de publicaciones
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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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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)
✅ COUNT
Counts numbers.
=COUNT(A1:A10)
✅ MAX & MIN
=MAX(A1:A10)
=MIN(A1:A10)
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Used for conditions.
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Searches for values in tables.
=VLOOKUP(101,A2:D10,2,FALSE)
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🔹 6. Pivot Tables ⭐
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
✔ Important for quick analysis
✔ Frequently asked in interviews
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Where should the most important KPIs usually be placed on a dashboard?
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?
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✔ Better business decisions
✔ Improved user experience
✔ Professional reporting
🎯 Today’s Goal
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Which Power BI feature is mainly used for data cleaning and transformation?
Which component of Power BI is mainly used to create reports?
