Locked-in for 2 hours per day for the remaining days of 2025 will give you an amazing 2026
Let’s say you choose to learn data analytics, then potential study hours may include:
✅ Week 1–4: Excel for Data Analysis (Days 1–30)
Key Areas: Basics, Functions, Pivot Tables, Data…
3 quick Excel tips every data analyst should know:
1. Ctrl + Shift + L = Filters
2. ALT + E + S + V = Paste Values
3. F4 = Repeat last action
#ExcelTips#DataAnalytics
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🌟 ما هي أهم 60 أداة ل #الذكاء_الاصطناعي لعام 2025؟
1️⃣ 🎥 Video Editing:
↳ Transform video creation with Descript, Veed & Canva. These tools offer powerful AI-driven features for seamless video production.
2️⃣…
DAX makes your Power BI reports more dynamic, insightful, and powerful, helping you analyze data more effectively!
Which of these functions do you use most often? Or do you have a favorite not listed here? Let’s discuss in the comments!
9. YEAR – Extract the year from a transaction date.
Transaction Year = YEAR(Sales[TransactionDate])
10. DATESYTD – Calculate year-to-date sales.
YTD Sales = TOTALYTD(SUM(Sales[SalesAmount]), Sales[TransactionDate])
7. IF – Categorize transactions as "High" or "Low" based on sales amount.
Transaction Category = IF(Sales[SalesAmount] > 500, "High", "Low")
8. RELATED – Fetch product names from the Products table into the Sales table.
Product Name = RELATED(Products[ProductName])
5. CALCULATE – Apply filters dynamically (e.g., sales for a specific category).
Total Sales (Category) = CALCULATE(SUM(Sales[SalesAmount]), Products[Category] = "Electronics")
2.AVERAGE – Find the average sales per transaction.
Average Sales = AVERAGE(Sales[SalesAmount])
3.COUNTROWS – Count the number of transactions.
Transaction Count = COUNTROWS(Sales)
4. DISTINCTCOUNT – Count unique customers.
Unique Customers = DISTINCTCOUNT(Sales[CustomerID])
10 Essential DAX Functions Every Power BI Learner Should Know!
If you’re learning Power BI, mastering DAX is a must! Here are 10 powerful DAX functions that will enhance your data analysis skills:
1. SUM – Calculate total sales.
Total Sales = SUM(Sales[SalesAmount])
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