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Master Power BI – 30 Hands–On Projects for Data Visualization

Category: Tutorials


Master Power BI – 30 Hands–On Projects for Data Visualization
Free Download Master Power BI – 30 Hands–On Projects for Data Visualization
Last updated 11/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 19h 35m | Size: 9.7 GB
From Data Preprocessing to Advanced Business Intelligence, Analytics—Become an In-Demand Microsoft Power BI Expert!


What you'll learn
Understand the business intelligence workflow from end-to-end
Connect Microsoft Power BI to data sources
Real life case studies and projects to understand how things are done in the real world
Design and implement the same B.I. tools used by professional analysts and data scientists
Become proficient in creating stunning visualizations that communicate complex data effortlessly.
Acquire real-world skills through project-based learning, making you job-ready.
Requirements
Basic knowledge of Power B.I
Description
The future of Power BI holds a promise of even greater capabilities, innovation, and impact in the realm of data analytics and business intelligence. As we peer into the horizon, several exciting trends and developments are likely to shape the trajectory of Power BI
Advanced AI Integration: The convergence of Power BI with artificial intelligence and machine learning will enable automated insights extraction, predictive analytics, and natural language processing. Users will be able to interact with their data using natural language queries, making data analysis more accessible and intuitive
Enhanced Data Connectivity: Power BI will continue to expand its data connectivity options, facilitating seamless integration with an ever-growing variety of data sources, including IoT devices, cloud services, and external databases. This will empower organizations to derive insights from diverse and complex data streams
Real-time Analytics: The future will see Power BI becoming even more real-time and dynamic. Businesses will be able to monitor and visualize live data streams, enabling rapid decision-making based on up-to-the-minute information
Embedded Analytics: Power BI will increasingly be embedded within other applications and platforms, bringing analytics directly to where users work. This will enhance the user experience and enable organizations to infuse data-driven insights into their day-to-day operations
Enhanced Collaboration: Collaborative features will evolve, allowing teams to work more seamlessly on shared reports and dashboards. Enhanced commenting, annotation, and version control will foster better teamwork in data analysis
Custom Visualizations: The future of Power BI will likely include more advanced and customizable visualizations. Users will have the ability to create unique and tailored visuals that precisely represent their data and insights
Data Governance and Security: As data privacy and security concerns continue to rise, Power BI will place a strong emphasis on enhancing data governance features. This includes tighter controls over data access, sharing, and compliance with regulations like GDPR
Cloud-Native Approach: Power BI's integration with the cloud will deepen, enabling users to harness the full potential of cloud computing, such as scalability, flexibility, and collaborative capabilities
Continuous Innovation: Microsoft's commitment to ongoing development means that Power BI will continually evolve with new features, updates, and improvements. User feedback will continue to play a pivotal role in shaping the platform's evolution
The future of Power BI is an exciting one, marked by cutting-edge technology, democratized data access, and transformative insights that will empower businesses and individuals to make smarter decisions and drive innovation in an increasingly data-driven world
In this course you will work on 30 Power BI projects listed below
Project-1: Global Data Professionals Benchmarking Dashboard
Project-2: Beijing Air Quality Dashboard: DAX and Visualizations
Project-3: Real Estate in Daegu: Apartment Pros and Cons Analysis
Project-4: Super Market Sales Analysis: Power Query and DAX
Project-5: COVID-19 WHO Dataset Insights: Power Query and DAX
Project-6: Credit Card Defaulters Analysis: Power Query and DAX
Project-7: Crime in Chicago: 3-Year Analysis with Visualization
Project-8: Customer Churn Analysis: Real-World Business Problem
Project-9: Customer Churn Analysis (Advanced Features): Data Modeling
Project-10: Attrition Analysis: HR Data Transformation and Visualization
Project-11: Road Accident Analysis: Relations and Time Intelligence
Project-12: Generic Sales Analysis for Practice: Data Transformation
Project-13: Maven Toy Sales Analysis: Transformations and DAX
Project-14: Maven Pizza Sales Analysis: Transformations and DAX
Project-15: IT Spend Analysis: Variance of Global IT Firm
Project-16: Sales Data Analysis: Generic Super Market Sales
Project-17: Foods and Beverages Sales Analysis Dashboard
Project-18: Budget vs. Actual Spending Analysis Dashboard
Project-19: HR Analytics Dashboard: Attrition Analysis
Project-20: E-commerce Super Store Sales Analysis
Project-21: Patient Summary Dashboard: Medical Records
Project-22: Global Super Store Sales Data Analysis
Project-23: Boston Housing Dataset Dashboard: Real Estate
Project-24: Crime in Los Angeles: Yearly City Analysis
Project-25: IMDB Movie Dataset Dashboard: Movie Comparison
Project-26: Hotel Reservation Dashboard: Global Hotel Business
Project-27: Toy Sales Data Analysis: Practice Dataset
Project-28: Netflix Stock Price Dashboard: Business Analysis
Project-29: Personal Finance Management Dashboard: Financial Insights
Project-30: A Deep Dive into Bank Customer Churn with Power BI
Who this course is for
Beginners in Power B.I
Homepage
https://www.udemy.com/course/data-analysis-power-bi-projects/












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