Summary:

Dinesh from Team Academy Training Centre initiated the session by introducing the Power BI training program, emphasizing its role in enhancing data analytics for informed business decisions. He shared insights from his four years of experience in Power BI and artificial intelligence, highlighting the challenges organizations face with disorganized data and the necessity of integrating multiple data sources. Dinesh pointed out the limitations of traditional reporting methods, such as reliance on Excel, which can lead to human error and outdated decision-making. The training aims to equip participants with the skills to streamline data processes and improve their decision-making capabilities.

The training program will begin with an induction class to assess participants' profiles and challenges, ensuring a customized learning experience. The first module will focus on transforming unclean data into clean data, utilizing practical examples from the instructor's extensive experience in project management and financial analytics. Participants will learn to navigate Power BI's user interface and understand the differences between data handling in Excel and Power BI. The session is designed to provide a structured approach to solving business problems using Power BI, with an emphasis on data modeling and connecting various data sources for meaningful insights.

During the session, the Team Academy Training Centre showcased impressive dashboards created by students, particularly in financial analytics and project management. They discussed a case study involving an oil and gas maintenance firm that required a consolidated view of multiple projects, demonstrating Power BI's versatility in meeting diverse executive needs for data visualization. The presentation also covered various methods for sharing dashboards, including mobile app views and website embedding, underscoring the importance of clear data presentation in addressing business challenges. Additionally, the significance of DAX (Data Analysis Expressions) and AI capabilities within Power BI was highlighted, making data analysis more accessible to users without extensive technical knowledge.

The session concluded with participants sharing their expectations and experiences, including inquiries about connecting multiple data sources and the potential for real-time data updates. The Team Academy Training Centre addressed these questions, confirming the feasibility of integrating data from various sources, including SAP and Excel, and emphasized the importance of having the necessary IT permissions. They also outlined certification offerings, including CPD accredited certificates and Microsoft badges, ensuring participants understand the requirements for achieving these credentials. Overall, the training aims to provide a comprehensive, step-by-step approach to mastering Power BI, focusing on practical applications in business contexts.

Chapters & Topics:

Introduction to Power BI Training Program

Dinesh, an instructor at Team Academy Training Centre, welcomed participants to the Power BI training program and outlined its objectives. He discussed the significance of Power BI in consolidating data for better business decision-making and shared his extensive experience in the field. Dinesh also addressed common issues organizations encounter with data management and the necessity of integrating various data sources.

* Overview of the Power BI training program and curriculum.

Introduction to Power BI and Training Overview

Team Academy Training Centre highlighted Power BI's capability to automate reporting and facilitate advanced business analytics for users with moderate technical skills. The training will begin with an induction class to understand participants' backgrounds and challenges, followed by a focus on converting unclean data into clean data. Practical examples will be provided to illustrate common business problems and how Power BI can address them.

* Practical applications of Power BI in various industries, including finance and project management.

Power Query and Data Transformation Techniques

The Team Academy Training Centre addresses common issues students encounter with large datasets, particularly those containing null values. The speaker demonstrates how to use Power Query to simplify data cleansing and transformation processes, showcasing its user-friendly features. They also mention the importance of understanding data modeling and connecting various data sources for effective analysis.

Dashboard Development and Data Analytics Overview

Team Academy Training Centre presented examples of dashboards created by students, focusing on financial analytics and project data integration. They noted the varying preferences of executives for data visualization, with some wanting comprehensive views while others prefer detailed breakdowns. The use of Power BI was highlighted as a solution to meet these diverse requirements.

Data Modeling and DAX in Microsoft Power BI

The session emphasizes the significance of data modeling for deriving KPIs in Microsoft Power BI. DAX, or Data Analysis Expressions, is introduced as a tool that simplifies data analysis, allowing users to create built-in measures easily. The integration of AI features in Power BI enhances user experience by automating tasks like converting Excel sheets into charts.

Introduction to Power BI Reporting and Visualization

Team Academy Training Centre outlined the structure of Power BI, detailing the report, model, and table views essential for data presentation. The discussion emphasized the workflow of cleaning data, connecting datasets, and visualizing results, which culminates in effective dashboard creation. The importance of automation and seamless reporting through Power BI components like Power Automate was also addressed.

Introductions and Overview of Power BI Training

Praveen facilitated introductions among participants, including Ayesha, Arun Ganesan, and Nisthar, who shared their backgrounds and interests in Power BI. Arun expressed his desire to simplify his HR workload through data visualization, while Nisthar, an ERP consultant, sought knowledge on Power BI's reporting capabilities. The session emphasized the importance of understanding what not to do with Power BI, particularly regarding data handling from Microsoft Dynamics.

Certificate Issuance and Accreditation Process

Team Academy Training Centre outlined the certification process for participants, stating that they will receive both CPD accredited certificates and Microsoft badges. The team will assist students in navigating the certification process, ensuring they can obtain their credentials without needing to take exams, except for the PL 300 certification. The importance of outcomes, such as preparing a dashboard, was emphasized as a key factor in receiving these certificates.

Introduction and Data Source Discussion

Bong, representing Qatar Energy, highlighted the need for live updates in data management rather than relying on Excel downloads. The Team Academy Training Centre recognized this as a widespread issue and suggested connecting to SAP Business Warehouse for improved data handling. They confirmed that they would explore the specifics of Bong's SAP version to facilitate this connection.

Power BI Integration and Data Management

Nazir asked about integrating data from multiple Excel sheets into one dashboard, and the Team Academy Training Centre explained that this is a primary feature of the program. Arun Ganesan further questioned the process of connecting directly to SAP HANA, and the instructor confirmed that it is possible to connect directly to various data sources, including SharePoint and Oracle, without the need for Excel as an intermediary.

* Implementation of HANA and data automation.

Implementation of HANA and Power BI Training

Zaharan expressed the goal of implementing HANA by year-end, focusing on automated data uploads and real-time updates. Team Academy Training Centre highlighted the benefits of using Power BI for data consolidation and management, noting that it can handle multiple Excel sheets efficiently. They reassured Yasser, who has limited Excel experience, that Power BI can be learned without prior Excel knowledge.

Key Questions:

* What are the common business problems that Power BI aims to solve?

* How does the integration of AI enhance the functionality of Power BI?

* What are the prerequisites for connecting Power BI with other data sources like SAP or SharePoint?

* What are the key features of Power BI that differentiate it from Excel?