Data Analysis and Dashboarding with Power BI Training Course

This instructor-led, live training in India (online or onsite) is aimed at business analysts, data analysts, and developers who wish to use the advanced features and tools in Power BI to perform complex data analysis and create interactive visual reports.

By the end of this training, participants will be able to:

• Install and configure Power BI and the necessary components.
• Understand and explore the advanced features, components, and tools in Power BI.
• Get valuable insights on advanced data analysis and strategy.
• Apply advanced data modeling techniques.
• Learn how to implement advanced formulas and calculations using DAX.
• Know the tips and tricks on data handling, visualization, and presentation.
• Make reports and dashboards interactive to enable collaboration within Power BI.
• Learn and explore embedded analytics in Power BI.

This instructor-led, live training in India (online or onsite) targets beginner-level professionals who want to clean and analyze data, make statistical forecasts, and generate insightful visualizations using these tools.

Upon completing this training, participants will be able to:

• Grasp the fundamentals of Python, R, Power Query, and Power BI for data analysis.
• Clean and organize datasets using Python and Power Query.
• Conduct statistical analysis and forecasting using R.
• Design professional dashboards and reports with Power BI.
• Effectively integrate and analyze data from various sources.

This instructor-led, live training in India (online or onsite) is aimed at data analysts who wish to learn techniques for preparing data in Excel, then visualizing it in Power BI.

By the end of this training, participants will be able to:

• Understand the principles of data analysis, objectives of data analysis, and approaches for data analysis.
• Use DAX formulas in Power BI for complex calculations.
• Create and use visualizations and charts for particular analysis cases.
• Import with Power View to move from Excel based Power BI to independent Power BI.

This instructor-led live training in India (available online or onsite) is designed for beginner to intermediate-level data professionals and business analysts who aim to utilize Power BI effectively for data analysis and visualization.

By the conclusion of this training, participants will be able to:

• Understand the architecture and core components of Power BI.
• Connect to various data sources and carry out data transformations.
• Construct effective visualizations and interactive dashboards.
• Implement row-level security and manage data access permissions.

This instructor-led, live training in India (online or onsite) is tailored for beginner to intermediate data professionals seeking to create compelling data visualisations and dashboards using Power BI.

By the end of this training, participants will be able to:

• Import and transform data from various sources.
• Develop and optimise data models.
• Create visually appealing and interactive reports and dashboards.
• Apply best practices in data visualisation and dashboard design.
• Utilise advanced features of Power BI for in-depth data analysis.

This instructor-led live training session in India (available online or onsite) is designed for beginner to intermediate-level business analysts, data analysts, and developers who wish to learn the fundamentals of DAX in Power BI.

By the end of this training, participants will be able to:

• Have a comprehensive understanding of Data Analysis Expressions (DAX) in Power BI.
• Create custom calculations and expressions in Power BI for analyzing data and deriving insights.
• Learn best practices to optimize DAX performance.

This instructor-led, live training in India (online or onsite) is designed for beginner to intermediate participants seeking in-depth knowledge of Power BI, encompassing its workspace, data modelling, dashboard development, and publishing.

By the end of this training, participants will be able to:

• Navigate and utilise the Power BI workspace effectively.
• Model and transform data for meaningful analysis.
• Apply fundamental functions and DAX measures to enhance data calculations.
• Create and customise interactive dashboards and reports.
• Publish, share, and export reports for organisational use.