Microsoft Power BI Course Online: Learn Data Visualization Tools

Power BI Desktop: Power BI Desktop is a free tool that allows users to connect to different data sources, perform data transformation tasks, and build unique visual reports and dashboards. It is a significant tool for building reports and dashboards, enabling users to perform data modelling. It supports advanced analytics and is crucial for offline report creation.

Power BI Service: Power BI Service is a cloud-based platform for sharing, which supports real-time data streaming and provides advanced features like data alerts. The service enables seamless collaboration among teams and integrates with popular cloud services. It also allows scheduled refreshes, ensuring that data stays up-to-date for decision-making.

Power BI Mobile: Power BI Mobile provides instant access to dashboards and reports from smartphones and tablets. It ensures on-the-go data-driven decisions by offering an optimized mobile experience. With features like push notifications, it keeps users updated with the latest insights. The app also supports offline viewing, making it reliable even in areas with limited connectivity.

Power Query: Power Query helps users easily connect, clean, and transform raw data into a structured format, making it ready for further analysis and visualization. This tool automates data preparation tasks, saving time and improving accuracy by handling complex data transformation processes seamlessly.It is a vital tool for creating structured datasets for meaningful analysis. Power Query integrates with other Microsoft tools, making data handling seamless and time-efficient.

DAX (Data Analysis Expressions): DAX is a robust formula language in Power BI that enables the creation of calculated columns, measures, and custom calculations to enhance data analysis and reporting. It enables in-depth analysis by supporting complex data transformations. DAX expressions help turn raw data into actionable insights.

Power BI Gateway: Power BI Gateway connects on-premises data sources with Power BI Service for real-time analytics. It ensures secure data flow and supports scheduled refreshes, enabling organizations to analyze their data without moving it to the cloud. This tool is critical for hybrid environments where both local and cloud data coexist.

Power BI Report Server: Power BI Report Server allows organizations to host Power BI reports on-premises, offering flexibility and control over data. It supports interactive and paginated reports, making it ideal for enterprises with specific compliance or security requirements. Reports created in Power BI Desktop can be directly uploaded to the server for sharing and collaboration.

Power BI Publisher for Excel: Power BI Publisher for Excel eases the transition for Excel users to Power BI, facilitating collaboration by merging familiar spreadsheet features with powerful reporting tools.

Power BI Visuals Marketplace: Power BI Visuals Marketplace is a repository of custom visuals created by Microsoft and third-party developers. Users can enhance their reports with specialized charts and diagrams tailored to specific needs. It adds versatility to data visualization. Developers can also contribute custom visuals, fostering innovation in reporting.

Power BI REST API: The Power BI REST API supports programmatic access to datasets, reports, and dashboards, offering customization for enterprise needs. This API is essential for businesses aiming to embed analytics into their workflows.

Power BI Embedded: Power BI Embedded allows organizations to seamlessly embed Power BI analytics into their applications and websites, providing users with interactive data visualizations and insights directly within their platforms, enhancing the decision-making process and user experience. It enables seamless integration, providing users with powerful insights directly within their platforms. This tool supports interactive dashboards, enhancing user engagement and decision-making.

Power BI Data flows: Power BI Data flows enable self-service data preparation by allowing users to ingest, transform, and integrate data from multiple sources. It creates reusable data pipelines, ensuring consistency across reports and dashboards. Dataflows simplify the process of managing and modeling large datasets.

Power BI Paginated Reports: Power BI Paginated Reports are tailored for creating detailed, print-ready reports with precise formatting, resembling traditional document layouts. They are highly formatted and ideal for scenarios requiring pixel-perfect layouts. This tool supports exporting reports to various file formats such as PDF or Excel, making it useful for professional presentations.

Power BI Templates: Power BI Templates allow users to create reusable report structures, saving time and maintaining consistency. Templates include predefined visuals, layouts, and data models, enabling teams to standardize reporting processes. They simplify the replication of complex reports across projects or organizations, ensuring efficiency and uniformity.

Power BI Tiles: Power BI Tiles enable embedding individual Power BI visualizations into external applications or presentations. They provide a way to showcase key metrics or charts without displaying the entire report. This tool is particularly useful for highlighting critical insights in presentations or collaborative platforms.

Power BI Desktop: Power BI Desktop is a free, user-friendly tool that allows you to connect to multiple data sources, clean and transform data, and create extraordinary reports and visualizations. It plays an important role in constructing data models and reports, serving as the main tool for data analysis in Power BI.

Power Query Editor: The Power Query Editor allows you to transform and clean your data, ensuring it is ready for analysis. You can connect to different data sources, remove errors, filter information, and transform it into the format you need. This module will teach you how to automate the data preparation process and streamline your workflow.

Data Modelling: Data Modelling focuses on organizing your data in a way that makes analysis easier. Youll learn to create relationships between tables, build calculated columns and measures, and organize data into structures that will help you create meaningful insights. Its the foundation of efficient Power BI reporting.

DAX (Data Analysis Expressions): A formula language, DAX (Data Analysis Expressions) is used to create custom calculations and expressions in Power BI. You will learn to write measures and calculated columns to analyze your data in more insightful and flexible ways.

Power BI Visualizations: Visualizations are the heart of Power BI reports. In this module, youll explore how to create charts, graphs, maps, and other visuals to represent your data in an easy-to-understand way. You'll also learn how to customize these visuals to highlight key insights and improve your reports' readability.

Power BI Service: The Power BI Service module covers how to use Power BI Service to share your work with others, schedule data refreshes, and collaborate with team members in real time to make data-driven decisions.

Power BI Reports: Power BI Reports are interactive, multi-page reports that allow users to explore data in depth. Youll learn how to create and customize reports, add interactive elements like slicers, and design them in a way that makes it easy for others to understand and interact with your data.

Power BI Dashboards: In this module, youll learn how to create single-page dashboards that bring together multiple visualizations, giving you an overview of important business information at a glance. Dashboards are perfect for monitoring performance and spotting trends.

Power BI Dataflow: You will learn to create reusable data pipelines that simplify importing and shaping data. dataflow improves data management efficiency and ensures consistency throughout your reports and dashboards.

Power BI Gateway: The Power BI Gateway allows you to connect on-premises data sources with the cloud. In this module, youll learn how to set up the gateway to refresh your data in real time and ensure secure data access. Its essential for organizations that need to work with both on-premises and cloud-based data.

Power BI Embedded: Power BI Embedded allows integration of your custom applications or websites' interactive Power BI reports and dashboards. This module explores how to embed Power BI into your applications, offering users seamless access to advanced analytics within the platform.

Power BI Paginated Reports: Youll learn how to create reports with precise layouts, ideal for professional documents and regulatory requirements. Paginated reports can be exported to PDF, Excel, and other formats, making them versatile for different use cases.

Power BI Q&A: Power BI Q&A enables users to interact with data using natural language, providing instant answers in the form of visualizations. This module teaches how to configure and use the Q&A feature, allowing users to easily explore data by typing questions, thereby making insights accessible to everyone, regardless of their technical expertise.

Power BI Row-Level Security (RLS): Row-Level Security (RLS) lets you control what data different users can see based on their roles. Youll learn how to implement RLS in Power BI to ensure that sensitive data is only accessible to the right people, providing secure access and ensuring compliance with data privacy regulations.

Power BI Alerts: In this module, youll learn how to set up alerts for key metrics, so youre automatically notified about important updates in your data. Alerts help you stay on top of changes and make quicker, more informed decisions.

DAX (Data Analysis Expressions): DAX is a formula language that empowers users to perform in-depth data analysis, transforming raw data into valuable insights. DAX functions enable complex data transformations, helping to derive actionable business intelligence.

Power Query M Language: This automation reduces manual data handling, speeds up the process of data import, and improves the accuracy of the final reports and dashboards. Whether it's filtering, merging tables, or performing complex calculations, Power Query M streamlines data manipulation, enabling users to focus on deriving insights rather than spending time on repetitive tasks.

Data Modeling: Data modeling in Power BI involves organizing data into a structured format for analysis. This skill helps users create relationships between tables, define calculated columns and measures, and optimize the data model for efficient reporting.

SQL (Structured Query Language): A strong understanding of SQL empowers users to craft intricate queries that can extract, filter, and aggregate data from different sources with precision. This skill is especially important when working with relational databases, ensuring that the data extracted is accurate, consistent, and ready for analysis. Mastery of SQL enhances a users ability to manipulate large datasets efficiently, enabling deeper insights and more sophisticated reporting within Power BI.

Power BI Service Administration: Power BI Service Administration involves managing Power BI workspaces, users, and data security within the cloud platform. Administrators configure access permissions, monitor activity, and maintain the overall environment, ensuring smooth collaboration and reporting. Its vital for managing large-scale Power BI deployments in enterprise environments.

Power BI API: This skill is essential for automating tasks like report generation, integrating interactive dashboards, and managing user interactions within applications. By leveraging the Power BI API, developers can streamline workflows, provide seamless data experiences, and extend the power of Power BI to suit specific business needs.

Data Transformation: Mastery of data transformation techniques ensures that datasets are accurate, consistent, and ready for reporting. This skill is essential for preparing high-quality data that supports reliable analysis, ultimately enhancing the accuracy and effectiveness of insights drawn from the data.

Report Design and Development: Report design and development focus on creating visually appealing and insightful Power BI reports. This skill involves selecting the right visuals, structuring layouts, and ensuring reports align with business objectives. Effective report design enhances data storytelling, making it easier for stakeholders to derive insights from the data.

Power BI Visualizations: Power BI Visualizations encompass the creation of charts, graphs, and other data representations. Skills in this area include choosing the most suitable visual for the data, customizing visuals, and ensuring that the visualizations are easy to understand. Good visualizations drive decision-making by presenting insights.

Power BI Embedded: This functionality enables seamless access to rich, interactive analytics without the need for users to switch between multiple platforms. By embedding these powerful data visualizations into existing systems, organizations can offer real-time, data-driven insights that enhance decision-making and foster greater user engagement.

Power BI Gateway Configuration: Power BI Gateway configuration allows the transfer of data between data sources and Power BI Service. It enables scheduled data refreshes and real-time analytics while maintaining data security. Configuring gateways ensures that the data in Power BI remains up-to-date and consistent with the underlying data sources.

Power BI Row-Level Security (RLS): This skill involves configuring security roles and defining specific rules to control access to sensitive data, ensuring that individuals only see relevant information. RLS is crucial for maintaining data privacy and confidentiality, making it an essential tool for compliance, in multi-user environments.

Power BI Report Server: Power BI Report Server allows organizations to deploy and manage on-premises Power BI reports. This technical skill involves setting up the server, configuring security, and ensuring that reports are published and updated correctly. It's crucial for organizations with strict data privacy or regulatory requirements.

Data Integration: Data integration involves combinations multiple sources to create a unified dataset. In Power BI, this skill helps users connect data from different systems, ensuring that all necessary information is available for analysis. Data integration improves the completeness and accuracy of business intelligence reports.

Cloud Integration (Azure, SQL Server): Cloud integration with platforms like Azure and SQL Server enables businesses to leverage cloud data storage and processing power. This skill involves connecting Power BI to cloud services for seamless data access and real-time analytics.

Excel Integration: Excel allows users to import data integration in Power BI from Excel workbooks directly into Power BI. This skill is beneficial for users transitioning from Excel to Power BI as it facilitates the seamless integration of existing datasets into powerful Power BI dashboards, making data analysis more efficient.

Power BI Custom Visuals Development: Custom visuals development in Power BI allows users to create unique and specialized visuals tailored to specific business needs. This technical skill enables the creation of interactive charts, graphs, and data representations that aren't available by default, enhancing the flexibility of reporting and visualization.

Power BI Performance Tuning: Power BI performance tuning includes techniques such as reducing dataset size, optimizing DAX formulas, and improving data model relationships. Performance tuning ensures that large datasets are processed efficiently, providing quick and responsive reports for end-users.

Power BI Dataflows: Power BI Dataflows enable users to create data transformation processes that are reusable across multiple reports and dashboards. This skill involves configuring and managing data pipelines, ensuring consistent data preparation and transformation. Dataflows simplify the process of working with large and complex datasets, making them easier to manage and analyze.

PowerShell for Power BI: PowerShell for Power BI allows users to automate Power BI tasks such as report management, user access control, and data refresh operations. This technical skill enables administrators to manage Power BI environments programmatically, reducing manual intervention and increasing efficiency in maintaining large-scale Power BI

Microsoft Certified: Data Analyst Associate (Exam DA-100): This certification is ideal for data analysts who want to demonstrate their skills in using Power BI for data analysis and reporting. It covers key competencies like data preparation, modeling, visualization, analysis, and deploying reports. The exam ensures you can help businesses interpret and present data effectively. With this certification, you'll be equipped to work with data from various sources and deliver insights using Power BIs powerful features.

Microsoft Certified: Azure Data Engineer Associate (Exam DP-203): The Azure Data Engineer certification is designed for professionals involved in building and managing data systems in Azure. This exam also ensures you can integrate Power BI with Azure data services like Azure Data Lake, Azure SQL Database, and Azure Synapse Analytics. With this certification, you'll be equipped to work on large-scale data engineering tasks, allowing seamless data management and reporting integration with Power BI. Understanding cloud architecture, data governance, and monitoring is crucial for this role.

Microsoft Certified: Azure AI Engineer Associate (Exam AI-102): It focuses on machine learning models, natural language processing, and computer vision technologies, integrating them with Power BI for deeper analytics. The certification ensures you can incorporate AI capabilities into Power BI dashboards, providing businesses with advanced analytical insights. Its an excellent choice for professionals looking to integrate predictive analytics and intelligent solutions into their reporting.

Microsoft Certified: Power Platform Fundamentals (Exam PL-900): The Power Platform Fundamentals certification covers the basics of Power BI, Power Apps, and Power Automate, providing a comprehensive understanding of the Microsoft Power Platform. This certification validates your ability to create simple reports and dashboards using Power BI and automating workflows. Its designed to introduce you to the platforms capabilities, allowing you to use Power BI for data visualization and reporting tasks. Whether you're a beginner or working in non-technical roles, this certification will help build a strong foundation for Power BI.

Microsoft Certified: Power Platform App Maker Associate (Exam PL-100): This certification is aimed at professionals who want to develop apps and automate processes within the Power Platform ecosystem. It validates your skills in building solutions using Power BI, Power Apps, and Power Automate. The exam focuses on transforming business requirements into working solutions, ensuring that you can streamline tasks, improve workflows, and deliver valuable insights through Power BI visualizations. Its ideal for individuals who want to build solutions with minimal coding experience.

Microsoft Certified: Business Intelligence (BI) Specialist: For professionals focused on Business Intelligence, this certification demonstrates your expertise in using Power BI to gather, analyze, and present data. The certification ensures you understand the entire BI lifecycle, from data collection to visualization, and have the skills to help businesses make data-driven decisions. This certification is great for those in roles like data analyst, BI developer, and BI consultant. It also validates your ability to deliver business intelligence solutions that improve organizational efficiency and effectiveness.

Microsoft Certified: Azure Data Scientist Associate (Exam DP-100): This certification is for professionals who want to build machine learning models in Azure and integrate them with Power BI for advanced data analytics. The exam covers topics like model training, optimization, and deployment on Azure, and focuses on transforming raw data into actionable insights. Azure Data Scientists work with large datasets, and this certification ensures you can integrate machine learning results into Power BI dashboards, providing valuable predictive analytics.

Power BI Certified Professional: The Power BI Certified Professional certification is aimed at advanced users who want to demonstrate their ability to design, implement, and manage complex Power BI solutions. This certification validates your expertise in data modeling, report creation, and advanced analytics within Power BI. This certification is ideal for Power BI developers and consultants who work in large-scale enterprise environments and need to manage complex reporting and data modeling tasks.

Microsoft Certified: Power BI Developer: This certification focuses on the technical skills needed to design, develop, and maintain Power BI solutions. The exam covers DAX, Power Query, data modelling, and integration with other Microsoft services. Its ideal for developers who need to use Power BI in more complex, customized environments, integrating it with web applications, data systems, and external data sources. A Power BI Developer ensures businesses can leverage Power BI for real-time data insights and decision-making.

Tableau to Power BI Transition Certification: This certification focuses on comparing the features of both platforms and providing the necessary skills to migrate Tableau reports and dashboards into Power BI. The certification covers the basic functionality of Power BI, including data visualization, report creation, and integration with external data sources. It's ideal for Tableau users who need to adapt to the Power BI ecosystem and leverage its capabilities to create powerful data models and reports. It ensures that professionals can maintain their analytics workflows while benefiting from Power BI's unique features.

Power BI Developer: A Power BI Developer is responsible for designing and developing interactive reports, dashboards, and visualizations. They use Power BI tools to transform raw data into meaningful insights and help businesses make data-driven decisions. Strong skills in DAX, Power Query, and data modeling are crucial for this role.

Data Analyst: A Data Analyst uses Power BI to analyze and interpret complex data sets, transforming them into actionable insights. They create reports and dashboards to assist organizations in decision-making processes. Expertise in data visualization, data cleaning, and transforming data with Power BI is essential for this role. They also work closely with stakeholders to understand key business objectives.

Business Intelligence Analyst: BI Analysts use Power BI to develop insights from data and assist organizations in strategic planning. They focus on gathering business requirements, analyzing trends, and creating custom reports. With strong analytical and technical skills, they ensure that the organization makes informed decisions based on accurate and up-to-date data.

Data Engineer: Data Engineers are responsible for building and managing data pipelines, ensuring that data flows seamlessly to BI tools like Power BI. They design databases, work with cloud-based systems, and prepare data for analysis. Skills in data transformation, SQL, and Power BI integration are crucial for the role. They also play an essential part in ensuring that data is clean, structured, and accessible for decision-making.

Power BI Consultant: A Power BI Consultant helps organizations implement, customize, and optimize Power BI for their business needs. They provide advice on the best practices for data modeling, visualization, and reporting. Expertise in Power BIs features and the ability to translate business requirements into actionable data solutions are key components of this role.

Business Intelligence Developer: BI Developers design, develop, and maintain business intelligence solutions using Power BI. They create custom reports, dashboards, and data models that help organizations track and analyze key business metrics. They also ensure that data sources are properly integrated and optimized for efficient reporting and analysis. A deep understanding of SQL and data transformation processes is vital for this role.

Power BI Architect: A Power BI Architect designs and implements complex Power BI solutions for large organizations. They are responsible for structuring data models, ensuring proper integration with other data systems, and overseeing the deployment of Power BI dashboards. This role requires a deep understanding of Power BIs advanced features and data architecture principles.

Data Scientist: A Data Scientist uses Power BI to analyze large data sets, create predictive models, and derive insights that can drive business decisions. They combine statistical analysis, machine learning, and data visualization techniques to uncover trends and patterns. Power BI is used to communicate complex findings in an easily understandable way. This role also involves experimenting with new algorithms and analytical techniques to improve business processes.

Report Developer: A Report Developer uses Power BI to create detailed, interactive reports and dashboards that convey business intelligence insights. They work closely with stakeholders to understand reporting requirements and develop solutions that allow users to visualize data clearly and effectively. They also ensure that reports are easily interpretable and accessible to non-technical users.

Data Visualization Specialist: Data Visualization Specialists are skilled in transforming complex data into visually engaging reports and dashboards using Power BI. They focus on choosing the right charts, graphs, and layouts to present data insights clearly and intuitively. This role requires creativity and technical expertise in data presentation and visualization techniques. They also work to ensure that the visualizations align with the companys branding and reporting standards.

BI Reporting Analyst: BI Reporting Analysts focus on developing and maintaining reports that provide insight into business performance. They utilize Power BI to create interactive and automated reports, helping organizations track KPIs and other key metrics. Their role is crucial for ensuring that decision-makers have accurate and up-to-date information. They also monitor report performance and troubleshoot issues when necessary.

Power BI Administrator: Power BI Administrators ensure that the platform is properly configured, user permissions are assigned, and reports are accessible to the right stakeholders. They also handle performance tuning and troubleshoot any issues that arise within Power BI solutions. Additionally, administrators ensure compliance with organizational security protocols and guidelines.

Data Modeler: A Data Modeler focuses on designing and implementing data models that support analysis and reporting in Power BI. They structure data to ensure it is clean, consistent, and optimized for performance. Strong knowledge of data relationships, normalization, and DAX is required for building effective models that enhance decision-making. They also collaborate with other roles to ensure that the data model aligns with business objectives.

Data Integration Specialist: Data Integration Specialists are responsible for ensuring seamless data flow between Power BI and other business systems. They manage the integration of various data sources and ensure that data is transformed and loaded into Power BI for accurate reporting and analysis. Their expertise ensures that data remains consistent across platforms. They also work on resolving integration issues and optimizing data pipelines.

Power BI Trainer: A Power BI Trainer teaches individuals or teams how to use Power BI effectively. They deliver training sessions on the features of Power BI, including data transformation, report creation, and advanced analytics. This role requires strong communication skills and in-depth knowledge of Power BI tools and best practices. Trainers may also create course materials and resources for learners.

Analytics Consultant: Analytics Consultants use Power BI to provide expert guidance on how to leverage data for business intelligence. They assist organizations in setting up data analysis frameworks, creating custom reports, and improving decision-making processes through data insights. A strong understanding of business needs and Power BIs capabilities is essential for success in this role.

Tableau to Power BI Specialist: A Tableau to Power BI Specialist assists with migrating reports, recreating dashboards, and ensuring that data models are properly aligned with Power BI. This role requires proficiency in both Tableau and Power BI, specialists also ensure that all functionalities are preserved during the migration.

Financial Analyst (with Power BI skills): A Financial Analyst with Power BI skills uses the platform to analyze financial data, create reports, and develop forecasting models. Power BI helps them visualize trends, track key performance indicators (KPIs), and provide actionable insights for business decision-making. Knowledge of financial modeling and reporting is essential for this role. This position often requires a strong understanding of accounting principles and budgeting processes.

Marketing Analyst (with Power BI skills): A Marketing Analyst with Power BI skills leverages the platform to analyze marketing data, create campaign performance dashboards, and generate insights from customer behavior. Power BI helps them track ROI, measure key metrics, and inform strategic marketing decisions. Strong data visualization and reporting skills are critical in this role.

Cloud BI Specialist: A Cloud BI Specialist focuses on implementing and managing Power BI solutions within cloud environments, such as Azure. They ensure seamless integration of Power BI with cloud data sources, optimize performance, and help organizations scale their BI capabilities. They also troubleshoot cloud-specific issues and ensure that BI solutions align with cloud architecture best practices.

Fresher:3,00,000to6,00,000peryear.

Experienced:6,00,000to12,00,000peryear

Fresher:3,00,000to6,00,000peryear.

Experienced:6,00,000to10,00,000peryear

Fresher:3,50,000to6,00,000peryear.

Experienced:6,00,000to12,00,000peryear

Fresher:4,00,000to8,00,000peryear.

Experienced:8,00,000to16,00,000peryear

Fresher:4,00,000to6,50,000peryear.

Experienced:7,00,000to15,00,000peryear

Fresher:4,00,000to6,00,000peryear.

Experienced:8,00,000to15,00,000peryear

Fresher:5,00,000to9,00,000peryear.

Experienced:10,00,000to20,00,000peryear

Experienced:15,00,000to25,00,000peryear

Fresher:3,00,000to6,00,000peryear.

Experienced:6,00,000to12,00,000peryear

Fresher:3,50,000to6,00,000peryear.

Experienced:7,00,000to14,00,000peryear

Fresher:3,00,000to6,00,000peryear.

Experienced:6,00,000to10,00,000peryear

Fresher:3,50,000to6,50,000peryear.

Experienced:7,00,000to12,00,000peryear

Fresher:4,00,000to7,00,000peryear.

Experienced:8,00,000to16,00,000peryear

Fresher:4,50,000to7,00,000peryear.

Experienced:8,00,000to15,00,000peryear

Fresher:4,00,000to6,00,000peryear.

Experienced:7,00,000to12,00,000peryear

Fresher:5,00,000to7,00,000peryear.

Experienced:10,00,000to18,00,000peryear

Fresher:4,00,000to6,00,000peryear.

Experienced:7,00,000to12,00,000peryear

Fresher:4,00,000to6,00,000peryear.

Experienced:7,00,000to12,00,000peryear

Fresher:3,00,000to6,00,000peryear.

Experienced:6,00,000to10,00,000peryear

Fresher:5,00,000to8,00,000peryear.

Experienced:10,00,000to18,00,000peryear

Power BI Developer: Freshers entering as Power BI Developers can expect initial salaries commensurate with their knowledge and expertise, typically ranging from entry-level to mid-level pay scales.

Senior Analyst - VBA & Power BI Developer: For those specializing in this role, salaries may exceed those of entry-level positions, reflecting the combined skills in VBA and Power BI development.

Power BI SSIS Developer: As a specialized role, the Power BI SSIS Developer role commands competitive compensation, with fresher-level salaries reflecting the technical proficiency required.

Power BI Developer: Graduates are poised to explore roles as Power BI Developers, responsible for crafting interactive dashboards, and reports, and employing Power BI's robust analytical features.

Senior Analyst - VBA & Power BI Developer: This role combines expertise in VBA and Power BI, enabling professionals to delve into complex data solutions, and offering crucial insights to organizations.

Power BI SSIS Developer: Specializing in SSIS and Power BI integration opens opportunities to integrate SSIS packages seamlessly with Power BI, streamlining data workflows.

These job opportunities are well-suited for individuals seeking diverse career paths in data analysis, visualization, and integration, catering to different interests within the data-driven landscape.

Course Formats: The fees vary between online, in-person, or blended formats. Online courses might be more cost-effective due to reduced overheads.

Duration and Curriculum: Longer-duration courses covering extensive Power BI modules tend to have higher fees compared to shorter, focused programs.

Institution Reputation: Renowned institutions or platforms offering certification programs might charge higher fees, ensuring quality education and recognized certifications.

Additional Resources: Some courses include access to supplementary materials, hands-on projects, or certification exams, affecting the overall fee structure.

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