Mô tả

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:

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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



Bạn sẽ học được gì

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.

Yêu cầu

  • Basic knowledge of Power B.I

Nội dung khoá học

31 sections

Introduction to the course

2 lectures
Introduction to the course
00:30
Outline of the course
00:25

Project-1: Global Data Professionals Benchmarking Dashboard

4 lectures
Introduction
04:39
DataCleaning
09:47
Data Visualization part 1
13:12
Data Visualization part 2
12:43

Project-2: Beijing Air Quality Dashboard: DAX and Visualizations

5 lectures
Introduction
07:50
DataCleaning
14:26
Visualization part 1
15:45
Visualization part 2 - Beijing Air Quality Dashboard
15:38
Download the project files
00:01

Project-3: Real Estate in Daegu: Apartment Pros and Cons Analysis

4 lectures
Introduction
10:54
Visualization part 1
12:40
Visualization part 2
16:20
Download the project files
00:01

Project-4: Super Market Sales Analysis: Power Query and DAX

4 lectures
Introduction
06:37
DataCleaning
14:00
Visualization 1
19:09
Visualization 2
19:42

Project-5: COVID-19 WHO Dataset Insights: Power Query and DAX

4 lectures
Introduction _ Data Cleaning
13:29
Visualization part 1
14:45
Visualization part 2
19:13
Download the project files
00:01

Project-6: Credit Card Defaulters Analysis: Power Query and DAX

5 lectures
Introduction
10:43
Data Cleaning
15:54
Visualization Part 1
16:08
Visualization Part 2 - Credit Card Defaulters Analysis
21:54
Download the project files
00:01

Project-7: Crime in Chicago: 3-Year Analysis with Visualization

4 lectures
Introduction and data Cleaning
08:29
Visualization Part 1
18:06
Visualization Part 2
14:43
Download the project files
00:01

Project-8: Customer Churn Analysis: Real-World Business Problem

5 lectures
Introduction
10:20
Transformation
12:03
Relationships and DAX
15:26
Visualization
17:51
Download the project files
00:01

Project-9: Customer Churn Analysis (Advanced Features): Data Modeling

5 lectures
Introduction
10:20
Transformation
12:03
Relationships and DAX
15:26
Visualization
17:01
Download the project files
00:01

Project-10: Attrition Analysis: HR Data Transformation and Visualization

5 lectures
Introduction
10:43
DataCleaning
06:42
Visualization Part 1
15:25
Visualization Part 2
09:31
Download the project files
00:01

Project-11: Road Accident Analysis: Relations and Time Intelligence

4 lectures
Introduction
08:37
Creating Date Master table
06:42
Visualization
17:22
Download the project files
00:01

Project-12: Generic Sales Analysis for Practice: Data Transformation

5 lectures
Introduction and Data loading
07:18
Data Cleaning
06:46
Building Realtions
06:47
Visualization
11:04
Download the project files
00:01

Project-13: Maven Toy Sales Analysis: Transformations and DAX

5 lectures
Introduction and overview
13:25
Building Relations
15:02
Visualization(DAX and cards)
16:30
Visualization Part 2
15:00
Download the project files
00:01

Project-14: Maven Pizza Sales Analysis: Transformations and DAX

5 lectures
Introduction and importing data
08:28
Data Cleaning
15:46
Visualization part 1
08:10
Visualization part 2
07:21
Download the project files
00:01

Project-15: IT Spend Analysis: Variance of Global IT Firm

5 lectures
Introduction
10:12
Creating Relations
06:25
Visualization part 1
06:40
Visualization part 2
13:35
Download the project files
00:01

Project-16: Sales Data Analysis: Generic Super Market Sales

5 lectures
Introduction to Data
08:48
Data Cleaning
03:39
Data Visualization part 1
16:01
Data Visualization part 2
11:06
Download the project files
00:01

Project-17: Foods and Beverages Sales Analysis Dashboard

5 lectures
Introduction
05:30
Data Cleaning
06:12
Visualization Part 1
13:50
Visualization Part 2
13:14
Download the project files
00:01

Project-18: Budget vs. Actual Spending Analysis Dashboard

4 lectures
Introduction to Data
09:46
Building Relationships
04:29
Visualization
04:29
Download the project files
00:01

Project-19: HR Analytics Dashboard: Attrition Analysis

5 lectures
Introduction to data
07:05
Data Prepping
09:32
Visualization part 1
12:44
Visualization part 2
10:34
Download the project files
00:01

Project-20: E-commerce Super Store Sales Analysis

4 lectures
Introduction to data
07:16
Visualization Part 1
14:54
Visualization Part 2
10:00
Download the project files
00:01

Project-21: Patient Summary Dashboard: Medical Records

4 lectures
Introduction to data
06:53
Data Cleaning
06:45
Visualization
14:10
Download the project files
00:01

Project-22: Global Super Store Sales Data Analysis

4 lectures
Introduction to data
05:53
Visualization Part 1
04:04
Visualization Part 2
12:13
Download the project files
00:01

Project-23: Boston Housing Dataset Dashboard: Real Estate

4 lectures
Introduction to data
10:45
Visualization part 1
10:53
Visualization part 2
09:00
Download the project files
00:01

Project-24: Crime in Los Angeles: Yearly City Analysis

5 lectures
Introduction to data
05:27
Data Cleaning
05:42
Visualization part 1
13:06
Visualization Part 2
10:49
Download the project files
00:01

Project-25: IMDB Movie Dataset Dashboard: Movie Comparison

5 lectures
Introduction to data
06:13
Data Cleaning
06:36
Visualization part 1
10:33
Visualization part 2
03:56
Download the project files
00:01

Project-26: Hotel Reservation Dashboard: Global Hotel Business

5 lectures
Introduction to data
02:41
Data Cleaning
08:57
Visualization part 1
16:52
visualization Part 2
07:10
Download the project files
00:01

Project-27: Toy Sales Data Analysis: Practice Dataset

5 lectures
Introduction to data
04:30
Data cleaning and Realationships
11:47
Transformation
03:19
Visualization
17:51
Download the project files
00:01

Project-28: Netflix Stock Price Dashboard: Business Analysis

4 lectures
Introduction to Data
04:23
Date Master table
05:36
Dashboard
16:16
Download the project files
00:01

Project-29: Personal Finance Management Dashboard: Financial Insights

4 lectures
Introduction to dashboard
02:23
Transformation of data
06:16
Dashboard Building
18:00
Download the project files
00:01

Project-30: A Deep Dive into Bank Customer Churn with Power BI

5 lectures
Introduction to Project
02:22
Data Cleaning
11:09
Visualization
10:41
Dashboard
10:48
Download the project files
00:01

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