Data Preparation and Management is designed to equip you with the essential skills needed to prepare and manage data effectively using Microsoft Power BI. Throughout this course, you'll learn how to connect, clean, and transform data from various sources to ensure its integrity and quality. You will explore the principles of Extract, Transform, Load (ETL) processes, data storage, and the importance of maintaining data accuracy. This course emphasizes practical applications, providing you with hands-on experience in managing real-world data scenarios. By the end of this course, you’ll be ready to confidently handle data preparation tasks and ensure that your data is ready for analysis and visualization.

This program is for anyone interested in data analytics and visualization; there are no prerequisites. To get the most out of the learning experience, it is recommended to follow the courses in sequence, as each one builds on the skills and knowledge gained in the previous ones. By the time you begin this course, you should have a strong understanding of different types of visualizations and their appropriate use, along with the ability to create cohesive and compelling reports in Power BI. You should also be capable of identifying and addressing common design problems in reports, producing audience-focused reports by understanding business needs.

Data Modeling and Architecture is designed to provide you with the foundational skills required to create and manage data models in Microsoft Power BI. Throughout this course, you'll explore the intricacies of data relationships, schemas, and the use of Data Analysis Expressions (DAX) to enhance your data models. You'll also explore essential topics like data privacy and security, ensuring that your data models are both effective and compliant with ethical standards. This course is hands-on, offering practical experience in configuring data structures and applying advanced techniques to optimize data models. By the end of this course, you’ll be able to design robust data models that support insightful and ethical data analysis.

This program is for anyone interested in data analytics and visualization; there are no prerequisites. To get the most out of the learning experience, it is recommended to follow the courses in sequence, as each one builds on the skills and knowledge gained in the previous ones. At this point, you should have a strong understanding of different types of visualizations and their appropriate use, along with the ability to create cohesive and compelling reports in Power BI. You should also be capable of identifying and addressing common design problems in reports, producing audience-focused reports by understanding business needs. Additionally, you should also be comfortable configuring multiple data sources, cleaning and transforming data using Power Query, and ensuring data integrity and quality. These skills will serve as the foundation for more advanced tasks, such as building and maintaining relationships in data models, writing DAX calculations, and managing data privacy and ethics concerns in Power BI.

This course provides in-depth knowledge of analytical techniques and effective data visualization using Power BI. By the end of this course, you will be able to:

- Explain different analysis methods (correlation, time series, cluster, etc.) and their appropriate use. - Analyze data through visualizations in Power BI using different analysis methodologies - Leverage AI to explore data and gain insights. Here is a breakdown of what you'll cover: You will begin with statistical analysis fundamentals, master correlation, and exploratory data analysis, and understand business problems. As the course progresses, you will explore advanced topics like cluster analysis, cohort analysis, and geospatial data visualization. Additionally, you will learn about business intelligence concepts, including building time intelligence functions, conducting time series analysis, and leveraging AI-driven tools like key influencers and decomposition trees. With a strong emphasis on practical application, the course culminates in a hands-on final project, allowing you to synthesize your skills in a real-world scenario, making data-driven decision-making clear and impactful. This program is for anyone interested in data analytics and visualization; there are no prerequisites. To get the most out of the learning experience, it is recommended to follow the courses in sequence, as each one builds on the skills and knowledge gained in the previous ones. Before starting this course, you should be proficient in building data models, maintaining relationships in Power BI, and writing DAX expressions to enhance analysis. You should also understand the ethical implications of handling data. This knowledge will be essential as you learn advanced data analysis techniques and explore data through Power BI's visualizations, supported by AI-driven insights.

In this course, learners will gain the skills to create impactful reports and interactive dashboards using Power BI, helping businesses make data-driven decisions. The course focuses on the data visualization process, guiding learners through designing professional reports, optimizing layouts for different audiences, and leveraging Power BI’s interactive features. Learners will explore how to use Power BI to integrate data from various sources, transform it into meaningful insights, and present it in a visually engaging way. By the end of the course, learners will have developed proficiency in creating user-centered dashboards and reports, ensuring clarity and actionable insights.