Different roles in data

1. Business analyst
2. Data analyst
3. Data engineer
4. Data scientist
5. Database administrator

By using Data Analysis Expressions (DAX), you can add three types of calculations to your semantic model:
1.Calculated tables
2.Calculated columns
3.Measures

Benefits of using dax variables

1. Improving the readability and maintenance of your formulas.

2. Improving performance because variables are evaluated once and only when or if they're needed.

Three options for connecting to data:
1. import
2. DirectQuery
3. live connection

What are calculated columns???

You can write a DAX formula to
add a calculated column to any table in your model. The formula is evaluated for each table row and it returns a single value.

Power BI Scenario based Questions 👇👇

📈 Scenario 1:Question: Imagine you need to visualize year-over-year growth in product sales. What approach would you take to calculate and present this information effectively in Power BI?

Answer: To visualize year-over-year growth in product sales, I would first calculate the sales for each product for the current year and the previous year using DAX measures in Power BI. Then, I would create a line chart visual where the x-axis represents the months or quarters, and the y-axis represents the sales amount. I would plot two lines on the chart, one for the current year's sales and one for the previous year's sales, allowing stakeholders to easily compare the growth trends over time.

🔄 Scenario 2: Question: You're working with a dataset that requires extensive data cleaning and transformation before analysis. Describe your process for cleaning and preparing the data in Power BI, ensuring accuracy and efficiency.

Answer: For cleaning and preparing the dataset in Power BI, I would start by identifying and addressing missing or duplicate values, outliers, and inconsistencies in data formats. I would use Power Query Editor to perform data cleaning operations such as removing null values, renaming columns, and applying transformations like data type conversion and standardization. Additionally, I would create calculated columns or measures as needed to derive new insights from the cleaned data.

🔌 Scenario 3: Question: Your organization wants to incorporate real-time data updates into their Power BI reports. How would you set up and manage live data connections in Power BI to ensure timely insights?

Answer: To incorporate real-time data updates into Power BI reports, I would utilize Power BI's streaming datasets feature. I would set up a data streaming connection to the source system, such as a database or API, and configure the dataset to receive real-time data updates at specified intervals. Then, I would design reports and visuals based on the streaming dataset, enabling stakeholders to view and analyze the latest data as it is updated in real-time.

⚡ Scenario 4: Question: You've noticed that your Power BI reports are taking longer to load and refresh than usual. How would you diagnose and address performance issues to optimize report performance?

Answer: If Power BI reports are experiencing performance issues, I would first identify potential bottlenecks by analyzing factors such as data volume, query complexity, and visual design. Then, I would optimize report performance by applying techniques such as data model optimization, query optimization, and visualization best practices.

Thank you so much for 50 sales guys, it motivates me to bring more of such content in the future ❤️

Power BI vs Tableau

Useful tips to select Chart Type

👉 If you have categorical data,then either use a bar chart if you have more than 5 categories or a pie chart for less than 5 categories.

👉 If you have nominal data, use bar charts ; histograms if your data is discrete,; line/ area charts if it is continuous.

👉 If you want to show the relationship between values in your dataset, use a scatter plot, bubble chart, or line charts.

👉 If you want to compare values, use a pie chart — for relative comparison — or bar charts — for precise comparison.

👉 If you want to compare volumes, use an area chart or a bubble chart.

👉 If you want to show trends and patterns in your data, use a line chart, bar chart, or scatter plot.

How to choose a graph

Many people pay too much to learn Power BI, but my mission is to break down barriers. I have shared complete learning series to learn Power BI from scratch.

Here are the links to the Power BI series

Complete Power BI Topics for Data Analyst: https://t.me/sqlspecialist/588

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Thanks to all who support our channel and share the content with proper credits. You guys are really amazing.

Hope it helps :)

Complete Roadmap to learn Power BI in 2024 👇👇
https://www.linkedin.com/posts/sql-analysts_complete-roadmap-to-learn-power-bi-activity-7189616719936573441-rRgu?utm_source=share&utm_medium=member_android

Tableau Roadmap 👇👇
https://www.linkedin.com/posts/sql-analysts_complete-roadmap-to-learn-tableau-in-2024-activity-7189976586002022400-9gxo?utm_source=share&utm_medium=member_android

Learn Power BI 👇👇
https://powerbi.microsoft.com/en-us/learning/

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