Power BI & Tableau Resources
الذهاب إلى القناة على Telegram
🆓 Resources to learn Power BI, Tableau & Data Visualisation Perfect channel to start learning everything about Data Analytics Admin: @coderfun
إظهار المزيد
الشبكة:📈 نظرة تحليلية على قناة تيليجرام Power BI & Tableau Resources
تُعد قناة Power BI & Tableau Resources (@powerbi_analyst) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 55 593 مشتركاً، محتلاً المرتبة 3 054 في فئة التعليم والمرتبة 6 290 في منطقة الهند.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 55 593 مشتركاً.
بحسب آخر البيانات بتاريخ 14 يوليو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 107، وفي آخر 24 ساعة بمقدار 4، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 2.08%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 1.06% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 1 158 مشاهدة. وخلال اليوم الأول يجمع عادةً 587 مشاهدة.
- التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 3.
- الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل dax, visual, dashboard, chart, slicer.
📝 الوصف وسياسة المحتوى
يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“🆓 Resources to learn Power BI, Tableau & Data Visualisation
Perfect channel to start learning everything about Data Analytics
Admin: @coderfun”
بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 15 يوليو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التعليم.
55 593
المشتركون
+424 ساعات
+347 أيام
+10730 أيام
جاري تحميل البيانات...
القنوات المماثلة
سحابة العلامات
الإشارات الواردة والصادرة
---
---
---
---
---
---
جذب المشتركين
يوليو '26
يوليو '26
+211
في 2 قنوات
يونيو '26
+302
في 3 قنوات
Get PRO
مايو '26
+554
في 6 قنوات
Get PRO
أبريل '26
+536
في 2 قنوات
Get PRO
مارس '26
+215
في 4 قنوات
Get PRO
فبراير '26
+621
في 7 قنوات
Get PRO
يناير '26
+824
في 6 قنوات
Get PRO
ديسمبر '25
+867
في 2 قنوات
Get PRO
نوفمبر '25
+947
في 5 قنوات
Get PRO
أكتوبر '25
+685
في 2 قنوات
Get PRO
سبتمبر '25
+418
في 9 قنوات
Get PRO
أغسطس '25
+752
في 16 قنوات
Get PRO
يوليو '25
+772
في 16 قنوات
Get PRO
يونيو '25
+1 199
في 24 قنوات
Get PRO
مايو '25
+2 368
في 32 قنوات
Get PRO
أبريل '25
+4 055
في 9 قنوات
Get PRO
مارس '25
+1 512
في 16 قنوات
Get PRO
فبراير '25
+1 230
في 26 قنوات
Get PRO
يناير '25
+1 341
في 29 قنوات
Get PRO
ديسمبر '24
+1 003
في 13 قنوات
Get PRO
نوفمبر '24
+2 093
في 14 قنوات
Get PRO
أكتوبر '24
+2 221
في 19 قنوات
Get PRO
سبتمبر '24
+2 581
في 11 قنوات
Get PRO
أغسطس '24
+3 319
في 14 قنوات
Get PRO
يوليو '24
+4 772
في 19 قنوات
Get PRO
يونيو '24
+3 620
في 9 قنوات
Get PRO
مايو '24
+3 489
في 6 قنوات
Get PRO
أبريل '24
+2 901
في 5 قنوات
Get PRO
مارس '24
+4 168
في 12 قنوات
Get PRO
فبراير '24
+2 581
في 3 قنوات
Get PRO
يناير '24
+3 387
في 2 قنوات
Get PRO
ديسمبر '23
+4 475
في 3 قنوات
| التاريخ | نمو المشتركين | الإشارات | القنوات | |
| 16 يوليو | 0 | |||
| 15 يوليو | +28 | |||
| 14 يوليو | +9 | |||
| 13 يوليو | +28 | |||
| 12 يوليو | +10 | |||
| 11 يوليو | +8 | |||
| 10 يوليو | +14 | |||
| 09 يوليو | +13 | |||
| 08 يوليو | +8 | |||
| 07 يوليو | 0 | |||
| 06 يوليو | +20 | |||
| 05 يوليو | +4 | |||
| 04 يوليو | +21 | |||
| 03 يوليو | +17 | |||
| 02 يوليو | +17 | |||
| 01 يوليو | +14 |
منشورات القناة
📊 Frequently Asked Power BI Interview Questions (Intermediate Level)
1️⃣ What is the difference between a Measure and a Calculated Column?
💡 Answer:
Measure → Calculated at query time based on the current filter context.
Calculated Column → Calculated during data refresh and stored in the data model.
2️⃣ What is the purpose of the CALCULATE() function?
💡 Answer:
CALCULATE() changes the filter context before evaluating an expression.
3️⃣ What is the difference between Import Mode and DirectQuery?
💡 Answer:
Import Mode → Stores data inside Power BI for faster performance.
DirectQuery → Queries the source database in real time without importing the data.
4️⃣ What is the difference between SUM() and SUMX()?
💡 Answer:
SUM() → Adds the values of a single column.
SUMX() → Evaluates an expression for each row and then sums the results.
❤️ React for more Power BI interview questions!
| 2 | 🚀 Power BI Essentials Series
📥 Topic 1: Get Data in Power BI (Beginner's Guide)
Every Power BI report starts with one step—connecting to your data.
Power BI can connect to hundreds of data sources, making it easy to analyze data from different systems in one place.
🎯 What is "Get Data"?
Get Data is the feature used to import or connect data from various sources into Power BI Desktop.
You can find it on the Home tab.
Once connected, you can clean, transform, model, and visualize the data.
📂 Common Data Sources
📊 Excel
The most common source for beginners.
Examples: Sales Reports, Employee Data, Budget Files, Inventory Lists
Supported formats: .xlsx, .xls
📄 CSV (Comma-Separated Values)
CSV files are lightweight and commonly used for data exchange.
Examples: Website exports, Sales transactions, Customer lists
🗄️ SQL Server
Used by most organizations to store business data.
Examples: Customer database, Orders, Products, Transactions
Power BI can connect directly to SQL Server databases.
🌐 Web
Import data directly from web pages or APIs.
Examples: Public datasets, Exchange rates, Weather information, REST APIs
☁️ SharePoint
Many organizations store Excel files and lists in SharePoint.
Power BI can connect directly to: SharePoint Lists, SharePoint Folders, SharePoint Online
📁 Folder
Instead of importing files one by one, connect to an entire folder.
Useful when: Daily reports are saved in one folder, Monthly CSV files need to be combined
Power BI can automatically combine files with the same structure.
🔗 Connection Modes
1. Import
Data is copied into Power BI.
Advantages:
✅ Fast performance
✅ Best for dashboards
✅ Full DAX support
Best for: Small to medium datasets
2. DirectQuery
Power BI queries the database whenever a user interacts with the report.
Advantages:
✅ Near real-time data
✅ No data stored in Power BI
Limitations: Slower than Import, Some DAX functions are restricted
Best for: Large enterprise databases that require up-to-date information
3. Live Connection
Power BI connects to an existing semantic model or analysis service without importing data.
Advantages:
✅ Single source of truth
✅ Centralized data model
Best for: Enterprise reporting environments
📥 Steps to Import Data
1. Open Power BI Desktop
2. Click Home → Get Data
3. Select a data source (Excel, CSV, SQL Server, etc.)
4. Browse and select the file or enter the server details
5. Preview the data
6. Choose the required tables
7. Click Load or Transform Data
📌 Load vs Transform Data
Load: Imports data directly into Power BI. Choose this when your data is already clean.
Transform Data: Opens Power Query Editor.
Choose this when you need to: Remove duplicates, Rename columns, Change data types, Filter rows, Clean data
Most real-world projects require transforming data before loading it.
📋 Best Practices
✅ Import only the tables you need
✅ Remove unnecessary columns
✅ Verify data types after loading
✅ Give tables meaningful names
✅ Use Transform Data instead of cleaning data manually in Excel whenever possible
❌ Common Mistakes
❌ Importing every table from a database
❌ Loading unnecessary columns
❌ Ignoring incorrect data types
❌ Loading duplicate data
❌ Cleaning data manually in Excel every time instead of using Power Query
💼 Real-World Example
A retail company receives a monthly Sales.xlsx file.
Workflow: Connect to the Excel file using Get Data → Open Transform Data → Remove blank rows → Fix date formats → Remove duplicate records → Load the cleaned data into Power BI → Build reports and dashboards
This simple workflow is used in many organizations. | 915 |
| 3 |  🚀 𝗧𝗼𝗽 𝟱 𝗦𝗸𝗶𝗹𝗹𝘀 𝗧𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗜𝗻 𝟮𝟬𝟮𝟲 – 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘! 🎓
Want to build a high-paying, future-ready career? 🔥 Start learning the most in-demand skills:
💫 AI & ML :- https://pdlink.in/4phANS2
📊 Data Analytics :- https://pdlink.in/4wh2ugB
🔐 Cyber Security :- https://pdlink.in/4wCW7DJ
☁️ Cloud Computing :- https://pdlink.in/4yhBuie
💻 Other Tech Skills :- https://pdlink.in/4peUslB
📢 Share with your friends & college groups! 🚀🔥 | 821 |
| 4 | 🚀 Power BI Essentials Every Beginner Must Learn
If you're starting with Power BI, focus on these core concepts before moving to advanced topics.
📥 1. Get Data
Learn how to connect Power BI to:
Excel, CSV, SQL Server, Web APIs, SharePoint
🔄 2. Power Query
Learn to:
Clean data, Remove duplicates, Handle null values, Merge & Append queries, Change data types
⭐ 3. Data Modeling
Understand:
Star Schema, Fact Tables, Dimension Tables, Relationships, Cardinality
🧮 4. DAX Data Analysis Expressions
Master:
Measures, Calculated Columns, CALCULATE(), FILTER(), IF(), Time Intelligence
📊 5. Data Visualization
Create:
Bar Charts, Line Charts, Pie Charts, Tables, Matrix, KPI Cards, Maps
🎛️ 6. Filters & Slicers
Learn:
Visual Filters, Page Filters, Report Filters, Slicers, Drill-down, Drill-through
☁️ 7. Power BI Service
Understand:
Publishing Reports, Workspaces, Dashboards, Apps, Sharing Reports
🔐 8. Security
Learn:
Row-Level Security RLS, User Permissions, Workspace Roles
⚡ 9. Performance Optimization
Know how to:
Reduce model size, Optimize DAX, Use Query Folding, Improve report performance
📂 10. Real-World Projects
Build dashboards for:
Sales Analytics, HR Analytics, Finance, Inventory, Marketing
Projects are the best way to apply what you've learned.
🎯 Double Tap ❤️ For Detailed Explanation | 956 |
| 5 |  🚀 𝗣𝗮𝘆 𝗔𝗳𝘁𝗲𝗿 𝗣𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁 𝗣𝗿𝗼𝗴𝗿𝗮𝗺 - 𝗟𝗮𝘂𝗻𝗰𝗵 𝗬𝗼𝘂𝗿 𝗧𝗲𝗰𝗵 𝗖𝗮𝗿𝗲𝗲𝗿
If you’re serious about starting your career in tech, this is one opportunity you shouldn’t miss 🚀
✅ 2000+ Students Already Placed
🤝 500+ Hiring Partners
💼 Salary: ₹7.4 LPA
🚀 Highest Package: ₹41 LPA
💻 Get trained in in-demand tech skills
👨🏫 Learn from industry experts
📈 Get dedicated placement support
💸 Pay only after you land a job
𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐍𝐨𝐰 👇:-
https://pdlink.in/42WOE5H
Hurry! Limited seats are available.🏃♂️ | 913 |
| 6 |  🎓 𝗧𝗼𝗽 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗢𝗳𝗳𝗲𝗿𝗶𝗻𝗴 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗶𝗻 𝟮𝟬𝟮𝟲
Boost your resume with Industry-recognized certifications without spending a single rupee 🌟
📚 Available from:
✅ Google
✅ Microsoft
✅ Cisco
✅ IBM
✅ HP
✅ Qualcomm
✅ TCS
✅ Infosys
🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:
https://pdlink.in/3SNiXKz
🚀 Don't miss these FREE certification opportunities in 2026! | 910 |
| 7 | 🚀 Power BI Tools Every Developer Should Know
Power BI isn't just one application—it's a complete ecosystem of tools for building, sharing, securing, and managing business intelligence solutions.
🖥️ 1. Power BI Desktop
The primary development tool used to:
✅ Connect to data sources
✅ Transform data with Power Query
✅ Build data models
✅ Write DAX
✅ Create reports and dashboards
Best For: Report development
☁️ 2. Power BI Service
The cloud platform used to:
✅ Publish reports
✅ Share dashboards
✅ Schedule data refresh
✅ Manage Workspaces
✅ Configure Row-Level Security (RLS)
Best For: Collaboration and report sharing
📱 3. Power BI Mobile
Allows users to access reports on: Android, iPhone, Tablets
Features:
✅ View dashboards
✅ Receive alerts
✅ Monitor KPIs
Best For: Business users on the go
🚪 4. On-Premises Data Gateway
Securely connects Power BI Service to on-premises data sources.
Used for:
✅ SQL Server
✅ Oracle
✅ Excel files
✅ Local databases
Best For: Scheduled refresh of on-premises data
🔄 5. Power Query
The built-in ETL tool in Power BI.
Used for:
✅ Cleaning data
✅ Removing duplicates
✅ Merging tables
✅ Appending data
✅ Changing data types
Best For: Data preparation
📊 6. DAX (Data Analysis Expressions)
The formula language in Power BI.
Used to create:
✅ Measures
✅ Calculated Columns
✅ Calculated Tables
✅ KPIs
Best For: Business calculations
🧩 7. Power BI Report Builder
Used to create Paginated Reports.
Ideal for:
✅ Invoices
✅ Financial Statements
✅ Operational Reports
✅ Printable Reports
Best For: Pixel-perfect reporting
📦 8. Power BI Dataflows
Reusable cloud-based ETL.
Benefits:
✅ Centralized data preparation
✅ Reusable transformations
✅ Shared datasets
Best For: Enterprise data preparation
🏢 9. Power BI Workspace
A collaborative area used to store: Reports, Dashboards, Semantic Models, Dataflows
Used by teams to collaborate on BI projects.
Best For: Team collaboration
📲 10. Power BI Apps
Apps package reports and dashboards into a single experience for business users.
Benefits:
✅ Easy distribution
✅ Centralized updates
✅ Better user experience
Best For: Sharing reports across an organization
🎯 Power BI Ecosystem at a Glance
Tool: Power BI Desktop — Primary Purpose: Report Development
Tool: Power BI Service — Primary Purpose: Cloud Collaboration & Sharing
Tool: Power BI Mobile — Primary Purpose: Mobile Report Access
Tool: On-Premises Data Gateway — Primary Purpose: Connect Local Data Sources
Tool: Power Query — Primary Purpose: Data Cleaning & Transformation
Tool: DAX — Primary Purpose: Business Calculations
Tool: Power BI Report Builder — Primary Purpose: Paginated Reports
Tool: Power BI Dataflows — Primary Purpose: Reusable Data Preparation
Tool: Power BI Workspace — Primary Purpose: Team Collaboration
Tool: Power BI Apps — Primary Purpose: Report Distribution
Double Tap ❤️ For More
-----
1.36 ₽ · /balance_help | 907 |
| 8 |  𝗠𝗮𝘀𝘁𝗲𝗿 𝗧𝗵𝗲𝘀𝗲 𝗛𝗶𝗴𝗵-𝗗𝗲𝗺𝗮𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀 𝘁𝗼 𝗟𝗮𝗻𝗱 𝗛𝗶𝗴𝗵-𝗣𝗮𝘆𝗶𝗻𝗴 𝗝𝗼𝗯𝘀 🔥
This guide highlights 3 powerful skills that are opening doors to high-paying roles across tech and business .🎓
Perfect For
👨🎓 Students
💼 Freshers
📈 Job seekers trying to improve employability
🚀 Anyone who wants to build a future-proof career with better salary potential
🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:
https://pdlink.in/4vXeGmm
🚀 Start learning today. Build in-demand skills. Position yourself for better opportunities and bigger career growth. | 895 |
| 9 | Data Analyst Interview Preparation Roadmap ✅
Technical skills to revise
- SQL
Write queries from scratch.
Practice joins, group by, subqueries.
Handle duplicates and NULLs.
Window functions basics.
- Excel
Pivot tables without help.
XLOOKUP and IF confidently.
Data cleaning steps.
- Power BI or Tableau
Explain data model.
Write basic DAX.
Explain one dashboard end to end.
- Statistics
Mean vs median.
Standard deviation meaning.
Correlation vs causation.
- Python. If required
Pandas basics.
Groupby and filtering.
Interview question types
- SQL questions
Top N per group.
Running totals.
Duplicate records.
Date based queries.
- Business case questions
Why did sales drop.
Which metric matters most and why.
- Dashboard questions
Explain one KPI.
How users will use this report.
- Project questions
Data source.
Cleaning logic.
Key insight.
Business action.
Resume preparation
- Must have Tools section.
- One strong project.
- Metrics driven points.
Example: Improved reporting time by 30 percent using Power BI.
Mock interviews
- Practice explaining out loud.
- Time your answers.
- Use real datasets.
Daily prep plan
1 SQL problem.
1 dashboard review.
10 interview questions.
- Common mistakes
Memorizing queries.
No project explanation.
Weak business reasoning.
- Final task
- Prepare one project story.
- Prepare one SQL solution on paper.
- Prepare one business metric explanation.
Double Tap ♥️ For More | 902 |
| 10 |  𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗙𝗥𝗘𝗘 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀🎓
Offers a wide range of free learning resources through Microsoft Learn, helping students, freshers, and professionals build job-ready skills at their own pace.
✅ 100% FREE self-paced learning modules
✅ Official learning platform from Microsoft
🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:
https://pdlink.in/4paqRJS
Explore Microsoft’s free resources. Build in-demand skills and make your profile stronger. | 876 |
| 11 | 🚀 Power BI A–Z Terms Every Beginner Should Know (Part 2)
A — Append Queries
Combines two or more tables by adding rows vertically in Power Query.
B — Bi-Directional Filtering
Allows filters to flow in both directions between related tables. Use carefully to avoid ambiguity.
C — Composite Model
A data model that combines Import and DirectQuery tables in the same report.
D — Dashboard
A single-page view in Power BI Service that displays key visuals and KPIs.
E — Export Data
Allows users to export data from visuals to Excel or CSV (subject to permissions).
F — Filter Context
The set of filters applied to a calculation through slicers, visuals, or report filters.
G — Group By
A Power Query transformation used to summarize and aggregate data.
H — Home Ribbon
The main toolbar in Power BI Desktop for importing data, refreshing, publishing, and managing reports.
I — Inactive Relationship
An inactive relationship that exists in the model but isn't used unless activated with USERELATIONSHIP().
J — Join
Combines data from multiple tables in Power Query using:
• Inner Join
• Left Join
• Right Join
• Full Outer Join
K — Key Column
A unique column used to create relationships between tables.
L — Lakehouse
A Microsoft Fabric storage architecture that combines the benefits of Data Lakes and Data Warehouses.
M — Matrix Visual
A table-like visual that supports hierarchical rows, columns, and subtotals.
N — Navigation Buttons
Interactive buttons used to move between report pages or bookmarks.
O — On-Premises Data Gateway
A gateway that securely connects Power BI Service to on-premises data sources.
P — Parameter
A dynamic value in Power Query used to make data sources and queries more flexible.
Q — Q&A Visual
An AI-powered visual that lets users ask questions in natural language to generate charts.
R — Report
A collection of interactive pages containing visuals built in Power BI Desktop.
S — Slicer
An interactive filter that allows users to filter report data easily.
T — Tooltip
A popup that displays additional information when hovering over a visual.
U — Unpivot
Converts multiple columns into rows, making data suitable for analysis.
V — Visual-Level Filter
A filter that affects only one specific visual on the report page.
W — Waterfall Chart
Shows how positive and negative values contribute to a final total.
X — X-Axis
The horizontal axis used in charts to display categories or time.
Y — YAML Theme
A structured format sometimes used for managing report themes and configurations in advanced workflows.
Z — Z-Order
Controls the stacking order of visuals, determining which visual appears in front of another.
Double Tap ❤️ For More
-----
1.25 ₽ · /balance_help | 928 |
| 12 |  GigaChat 3.5 Ultra Publicly Released — The New Generation of the Flagship Model
The GigaChat team has released GigaChat 3.5 Ultra as open source—a new 432B model under the MIT license. This is the first open-source hybrid of GatedDeltaNet and MLA scaled to hundreds of billions of parameters, featuring a proprietary training recipe we refined through more than 1,500 experiments. The model has grown in terms of code, mathematics, agent scenarios, and application domains—yet it’s 40% smaller than GigaChat 3.1 Ultra.
What’s inside:
🔘A proprietary hybrid MLA + Gated DeltaNet architecture with a dedicated stabilization framework, without which this hybrid setup would not train reliably at this scale;
🔘 Gated Attention: the model can locally down-weight overly strong signals from the attention layer;
🔘GatedNorm: normalization with an explicit gate that controls signal magnitude across features;
🔘Approximately 4x lower KV cache per token: with the same memory budget, the model can support 2.14x longer context and deliver a 20% throughput increase under load;
🔘Two MTP heads, enabling up to 2.2x faster generation;
🔘FP8 across all training stages with no quality degradation compared with bf16, enabled by custom Triton and CUDA kernels;
🔘A new online RL stage after SFT and DPO.
Results:
🔘 GigaChat-3.5-Ultra-Base outperforms DeepSeek V3.2 Exp Base and DeepSeek V4 Flash Base on average across a set of general, math, and code benchmarks:
🔘 GigaChat-3.5-Ultra-Instruct is comparable to DeepSeek V3.2 in terms of average score, despite having half the size;
🔘 According to the MiniMax-M2.7 LLM judge, the average win rate against GigaChat 3.1 Ultra is 75.9%, and against GPT-5 is 68.7%.
The entire stack — data (our own LLM-filtered Common Crawl, 600+ programming languages in the code), architecture, training methodology, and infrastructure — was built end-to-end by GigaChat team.
➡️ HuggingFace | 833 |
| 13 |  𝗔𝗜 𝗶𝗻 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 😍
💫 Join this live masterclass and gain practical insights into AI-powered Product Management, in-demand skills
💫Roadmap to building a successful Product Management career
Eligibility :- Recent Graduates & Working Professionals
𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇 :-
https://pdlink.in/44VeqIA
( Limited Slots ..Hurry Up )
Date & Time :- 11th July 2026 , 8:00 PM (IST) | 879 |
| 14 | 🚀 Power BI A–Z Terms Every Beginner Should Know
A — Aggregation
Combining data using functions like SUM, COUNT, AVERAGE, MIN, and MAX.
B — Bookmark
Saves the current state of a report for navigation and storytelling.
C — CALCULATE
The most important DAX function used to modify filter context.
D — DAX (Data Analysis Expressions)
Formula language used to create measures, calculated columns, and calculated tables.
E — ETL (Extract, Transform, Load)
Process of extracting, cleaning, and loading data into Power BI.
F — Fact Table
Stores measurable business data like Sales, Revenue, Quantity, and Profit.
G — Gateway
Connects Power BI Service to on-premises data sources for scheduled refreshes.
H — Hierarchy
A structured drill-down path such as Year → Quarter → Month → Day.
I — Import Mode
Loads data into Power BI's in-memory model for fast performance.
J — JSON
A popular data format that Power BI can connect to and import.
K — KPI (Key Performance Indicator)
A metric used to measure business performance, such as Revenue or Profit Margin.
L — Live Connection
Connects Power BI directly to an existing semantic model without importing data.
M — Measure
A dynamic DAX calculation evaluated based on the current filter context.
N — Null Value
Represents missing or empty data that often needs cleaning in Power Query.
O — One-to-Many Relationship
The most commonly used relationship type in Power BI data models.
P — Power Query
The ETL engine used for cleaning, transforming, and preparing data.
Q — Query Folding
Pushes transformations back to the source database to improve performance.
R — Row-Level Security (RLS)
Restricts data access so users only see the data they're authorized to view.
S — Star Schema
The recommended data model with one Fact table connected to multiple Dimension tables.
T — Time Intelligence
DAX functions used for YTD, MTD, QTD, YoY, and other date-based calculations.
U — USERELATIONSHIP
A DAX function used to activate an inactive relationship during a calculation.
V — Visual
A chart, table, map, KPI card, or any graphical representation of data.
W — Workspace
A collaborative area in Power BI Service where reports, dashboards, and datasets are managed.
X — XMLA Endpoint
Allows external tools such as Tabular Editor and DAX Studio to connect to Power BI semantic models.
Y — Year-to-Date (YTD)
A cumulative calculation from the beginning of the year to the current date.
Z — Zoom Slider
A feature in line and area charts that allows users to zoom into a specific time period.
Double Tap ❤️ For More | 1 069 |
| 15 |  𝗙𝗥𝗘𝗘 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗲 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽𝘀 | 𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗥𝗲𝘀𝘂𝗺𝗲🎓
These FREE virtual certificate internships can help you build practical skills, industry exposure, and resume value from top companies and global platforms — all from home.
💫Perfect for students, freshers, and career starters
- PwC Power BI Virtual Internship
- British Airways Data Science Virtual Internship
- Quantium Data Analytics Virtual Internship
🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:
https://pdlink.in/44PEjcL
🚀 Start learning today. Build experience. Collect certificates. Make your resume stronger. | 996 |
| 16 | Essential Excel Functions for Data Analysts 🚀
1️⃣ Basic Functions
SUM() – Adds a range of numbers. =SUM(A1:A10)
AVERAGE() – Calculates the average. =AVERAGE(A1:A10)
MIN() / MAX() – Finds the smallest/largest value. =MIN(A1:A10)
2️⃣ Logical Functions
IF() – Conditional logic. =IF(A1>50, "Pass", "Fail")
IFS() – Multiple conditions. =IFS(A1>90, "A", A1>80, "B", TRUE, "C")
AND() / OR() – Checks multiple conditions. =AND(A1>50, B1<100)
3️⃣ Text Functions
LEFT() / RIGHT() / MID() – Extract text from a string.
=LEFT(A1, 3) (First 3 characters)
=MID(A1, 3, 2) (2 characters from the 3rd position)
LEN() – Counts characters. =LEN(A1)
TRIM() – Removes extra spaces. =TRIM(A1)
UPPER() / LOWER() / PROPER() – Changes text case.
4️⃣ Lookup Functions
VLOOKUP() – Searches for a value in a column.
=VLOOKUP(1001, A2:B10, 2, FALSE)
HLOOKUP() – Searches in a row.
XLOOKUP() – Advanced lookup replacing VLOOKUP.
=XLOOKUP(1001, A2:A10, B2:B10, "Not Found")
5️⃣ Date & Time Functions
TODAY() – Returns the current date.
NOW() – Returns the current date and time.
YEAR(), MONTH(), DAY() – Extracts parts of a date.
DATEDIF() – Calculates the difference between two dates.
6️⃣ Data Cleaning Functions
REMOVE DUPLICATES – Found in the "Data" tab.
CLEAN() – Removes non-printable characters.
SUBSTITUTE() – Replaces text within a string.
=SUBSTITUTE(A1, "old", "new")
7️⃣ Advanced Functions
INDEX() & MATCH() – More flexible alternative to VLOOKUP.
TEXTJOIN() – Joins text with a delimiter.
UNIQUE() – Returns unique values from a range.
FILTER() – Filters data dynamically.
=FILTER(A2:B10, B2:B10>50)
8️⃣ Pivot Tables & Power Query
PIVOT TABLES – Summarizes data dynamically.
GETPIVOTDATA() – Extracts data from a Pivot Table.
POWER QUERY – Automates data cleaning & transformation.
You can find Free Excel Resources here: https://t.me/excel_data
Hope it helps :)
#dataanalytics | 1 075 |
| 17 |  📊 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 🚀
✅ 100% FREE learning opportunities
✅ Great for students, freshers, and beginners
✅ Help you build a stronger resume with recognized names like Cisco, Google, and Microsoft
✅ Useful for analytics internships, off-campus drives, and fresher hiring
🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:
https://pdlink.in/4eRA6eF
🚀 Start learning today. Build your analytics foundation. Earn free certifications. Move one step closer to your Data Analyst career. | 942 |
| 18 |  🎓 𝗧𝗼𝗽 𝟱 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗧𝗼 𝗜𝗺𝗽𝗿𝗼𝘃𝗲 𝗬𝗼𝘂𝗿 𝗦𝗸𝗶𝗹𝗹𝘀𝗲𝘁 🚀
These 5 FREE courses that can help you stand out in interviews and job applications! 💼✨
📊 Microsoft Excel
📈 Power BI
💫 Python for Data Science
⏰Time Management
💰 Basic Financial Accounting
🎯 Invest a few hours today to unlock better career opportunities tomorrow!
🔗 𝗟𝗲𝗮𝗿𝗻 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘 👇:-
https://pdlink.in/4dPjz92
📌 Save this post and share it with friends looking to upskill in 2026. | 1 049 |
| 19 | ✅ 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
🎯 Today’s Goal
✔ Learn dashboard principles
✔ Understand chart selection
✔ Learn layout & storytelling
Power BI Resources: https://whatsapp.com/channel/0029Vai1xKf1dAvuk6s1v22c
💬 Tap ❤️ for more! | 1 078 |
| 20 |  𝗞𝗶𝗰𝗸𝘀𝘁𝗮𝗿𝘁 𝗬𝗼𝘂𝗿 𝗔𝗜 𝗝𝗼𝘂𝗿𝗻𝗲𝘆 | 𝟱 𝗠𝘂𝘀𝘁-𝗪𝗮𝘁𝗰𝗵 𝗙𝗥𝗘𝗘 𝗩𝗶𝗱𝗲𝗼𝘀 🚀
The good news is — you don’t need expensive courses to understand the basics of AI, Machine Learning, Neural Networks, Prompting, and real-world AI tools.
This guide features 5 must-watch FREE AI videos that can help you build a strong foundation in AI concepts
🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:
https://pdlink.in/4gn4LS5
🚀 Start watching today. Learn AI step by step. Build future-ready skills for free. | 1 170 |
