Microsoft Power BI | Tableau | Data Visualization

Complete Roadmap to learn Tableau in 2024 👇👇 Step 1: Tableau Basics 1. Understand Tableau's interface, workbooks, and sheets. 2. Learn to connect Tableau to different data sources (Excel, SQL Server, Google Sheets, etc.). 3. Explore basic chart types (bar charts, line charts, scatter plots) and mapping capabilities. 4. Practice creating simple dashboards and stories in Tableau. Step 2: Intermediate Tableau 1. Dive deeper into Tableau's data preparation tools like Data Interpreter and Data Joining. 2. Learn about calculated fields and table calculations for advanced data analysis. 3. Explore advanced chart types (tree maps, heat maps, box plots) and formatting options. 4. Practice creating interactive dashboards with filters, parameters, and actions. Step 3: Advanced Tableau 1. Master advanced Tableau features such as LOD (Level of Detail) expressions and advanced analytics. 2. Learn about Tableau Server or Tableau Online for sharing and collaboration. 3. Explore Tableau extensions and integration with other platforms. 4. Practice optimizing performance and designing impactful data visualizations in Tableau. Best Resources to learn Tableau: https://topmate.io/analyst/890464 Hope you'll like it Like this post if you need more content like this 👍❤️

Looking to upskill yourself? 💻🌍 💼 Web Development   ➡️ https://t.me/webdevcoursefree 📱Data Analytics ➡️ https://t.me/sqlspecialist 🐍 Python  ➡️ https://t.me/pythondevelopersindia ☕️ SQL  ➡️ https://t.me/sqlanalyst 🐘 Power BI  ➡️ https://t.me/PowerBI_analyst ♦️ Javascript  ➡️ https://t.me/javascript_courses 🧑‍💻Stock Marketing ➡️ https://t.me/stockmarketinginsights 🚀 Data Science ➡️ https://t.me/datasciencefun 🐞 Deep Learning & AI ➡️ https://t.me/machinelearning_deeplearning Subscribe now and turn your skills into a successful career! 💻🌍

Best practices to follow while creating Tableau dashboards 👇👇 https://www.linkedin.com/posts/sql-analysts_learn-tableau-activity-7195275749245784064-9TNf?utm_source=share&utm_medium=member_android

I have compiled some Power BI Questions based on my own experience and discussed with the hiring managers. Here is the break down: 𝐒𝐜𝐞𝐧𝐚𝐫𝐢𝐨-𝐁𝐚𝐬𝐞𝐝 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬: 𝐒𝐜𝐞𝐧𝐚𝐫𝐢𝐨 1: Data Modeling for Sales Analysis: Design a Power BI report to analyze sales performance across regions with varying levels of granularity. 𝐒𝐜𝐞𝐧𝐚𝐫𝐢𝐨 2: Year-over-Year Growth Visualization: Illustrate year-over-year growth in product sales effectively within Power BI. 𝐒𝐜𝐞𝐧𝐚𝐫𝐢𝐨 3: Data Cleaning and Transformation: Detail your approach to cleaning and preparing data efficiently in Power BI. 𝐒𝐜𝐞𝐧𝐚𝐫𝐢𝐨 4: Real-time Data Integration: Implement and manage live data connections for real-time insights in Power BI reports. 𝐒𝐜𝐞𝐧𝐚𝐫𝐢𝐨 5: Performance Optimization: Diagnose and address performance issues to optimize Power BI report loading and refreshing times. 𝐁𝐚𝐬𝐢𝐜 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬: 1. Can you walk me through your experience with Power BI and how you've used it in your previous roles? 2. What are some key benefits of using Power BI for data analysis and visualization? 3. Can you explain the difference between Power BI Desktop and Power BI Service? 4. How do you handle large datasets in Power BI to ensure optimal performance? 5. Have you utilized Power BI's data modeling capabilities in your projects? If so, can you provide an example? 6. What strategies do you employ for data cleansing and manipulation in Power BI? 7. Can you discuss a challenging data visualization problem you've encountered in Power BI and how you solved it? 8. How do you approach creating interactive dashboards in Power BI to meet user requirements? 9. Have you worked with Power BI's integration with other Microsoft tools like Excel or SQL Server? If so, can you elaborate on your experience? 10. How do you stay updated with new features and updates in Power BI? 11. Can you provide an example of a complex calculation you've implemented using DAX in Power BI? 12. What are some common pitfalls to avoid when designing Power BI reports and dashboards? 13. How do you ensure data security and compliance when working with sensitive data in Power BI? 14. Have you worked on any projects involving real-time data streaming in Power BI? If so, how did you set it up? 15. Can you discuss a time when you had to troubleshoot and resolve a technical issue in Power BI? I have curated the best interview resources to crack Power BI Interviews 👇👇 https://topmate.io/analyst/866125 Hope you'll like it Like this post if you need more resources like this 👍❤️

How does deployment cycle in Power BI works? (Asked by Pravin) 1. Development: In this phase, reports and dashboards are created using Power BI Desktop. Data is imported, transformed, and modeled to create visualizations and insights. 2. Testing: Once the reports and dashboards are developed, they need to be tested to ensure they are accurate and meet the requirements of the business users. This can involve testing data connections, calculations, and visualizations. 3. Publishing: After testing is complete, the reports and dashboards are published to the Power BI Service. This allows users to access and interact with the reports online. 4. Sharing: Reports and dashboards can be shared with other users within the organization by creating a workspace and granting access to specific users or groups. 5. Refreshing: Data in the reports needs to be kept up-to-date, so scheduled refreshes can be set up to automatically update the data in the reports on a regular basis. 6. Monitoring: It's important to monitor the performance of the reports and dashboards to ensure they are meeting the needs of the users. This can involve tracking usage metrics, identifying any issues, and making improvements as needed. 7. Iteration: As business requirements change or new data sources become available, the reports and dashboards may need to be updated or revised. This iterative process ensures that the reports continue to provide value to the organization.

Complete Roadmap to learn Power BI 👇👇 Step 1: Power BI Basics 1. Understand the Power BI ecosystem, including Power BI Desktop and Power BI Service. 2. Learn to import data from different sources (Excel, SQL Server, CSV, etc.). 3. Explore Power Query Editor for data transformation and cleaning. 4. Practice creating basic visualizations like bar charts, line charts, and pie charts. Step 2: Intermediate Power BI 1. Dive deeper into data modeling concepts such as relationships, calculated columns, and measures. 2. Learn about DAX (Data Analysis Expressions) for advanced calculations and aggregations. 3. Explore Power BI visuals and custom visuals for enhanced data visualization. 4. Practice creating interactive dashboards and reports with slicers, filters, and drill-down features. Step 3: Advanced Power BI 1. Master advanced data modeling techniques like role-playing dimensions and many-to-many relationships. 2. Learn about Power BI Service features such as workspaces, datasets, and dataflows. 3. Explore Power BI administration and security settings. 4. Practice optimizing performance and refreshing data in Power BI reports. I have curated the best interview resources to crack Power BI Interviews 👇👇 https://topmate.io/analyst/866125 Hope you'll like it Like this post if you need more resources like this 👍❤️

Ways to improve the performance of Tableau 👉🏻 Use an Extract to make workbooks run faster. 👉🏻 Reduce the number of marks on the view to avoid information overload. 👉🏻 Hide unused fields. 👉🏻 Use Context filters. 👉🏻 Use indexing in tables and use the same fields for filtering. 👉🏻 Remove unnecessary calculations and sheets.

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.