Power BI Course

Are you in search of top-notch Power BI training in Vizag? Look no further! Softenant Technologies offers the best Power BI training course in Vizag. As a highly reputable Power BI training institute, we take pride in delivering high-quality training that equips our students with in-demand skills.

Our experienced trainers have extensive knowledge in Power BI and are committed to providing exceptional training. We have successfully trained numerous students, many of whom have gone on to work in renowned organizations in the field of data analysis and visualization.

At Softenant Technologies, we understand the importance of practical, hands-on training. Our Power BI course in Vizag is designed to provide you with a comprehensive understanding of Power BI's features, capabilities, and applications. Whether you are a beginner or an experienced professional, our course is tailored to meet your specific needs.

Content:

• 1. Introduction to Power BI :
• Overview of Power BI features and capabilities
• Understanding the Power BI ecosystem
• Exploring Power BI Desktop interface and functionalities
• Introduction to Power BI service and its benefits
• Creating a Power BI account and signing in
• Getting familiar with Power BI terminology
• Exploring Power BI visuals and their uses
• Understanding data sources supported by Power BI
• Overview of Power BI mobile app and its features
• Introduction to Power BI Premium and Power BI Pro licenses
• 2. Data Sources and Connectivity :
• Connecting to Excel spreadsheets as a data source
• Importing data from SQL Server databases into Power BI
• Connecting to SharePoint lists and files for data analysis
• Exploring cloud-based data sources for Power BI (Azure, Salesforce, etc.)
• Using web connectors to fetch data from online sources
• Connecting to on-premises data sources securely
• Importing data from cloud-based storage services (OneDrive, Dropbox, etc.)
• Utilizing Power Query to extract and transform data
• Real-time streaming data with Power BI connectors
• Connecting to APIs and web services in Power BI
• 3. Data Modeling :
• Understanding data modeling concepts in Power BI
• Creating relationships between tables in Power BI Desktop
• Using Auto-Detect and Manual relationship creation methods
• Implementing one-to-one, one-to-many, and many-to-many relationships
• Working with calculated columns for data enrichment
• Introduction to measures and their role in data modeling
• Implementing hierarchies and drill-down functionality in Power BI
• Working with date tables and time intelligence functions
• Using calculated tables for advanced data modeling
• Handling common data modeling challenges and best practices
• 4. Data Visualization :
• Creating bar charts and customizing their appearance
• Visualizing trends with line charts in Power BI
• Creating interactive pie charts for data analysis
• Formatting visuals to enhance readability and aesthetics
• Exploring other chart types in Power BI (area, scatter, etc.)
• Using maps and geographic visualizations in Power BI
• Implementing drill-through and cross-filtering for interactive visuals
• Enhancing visualizations with conditional formatting and data bars
• Utilizing custom visuals and marketplace extensions in Power BI
• Designing effective dashboards for data storytelling
• 5. DAX (Data Analysis Expressions) :
• Introduction to DAX syntax and operators
• Understanding DAX formulas and expressions
• Creating calculated columns using DAX in Power BI
• Implementing measures for aggregations and calculations
• Using DAX functions for common calculations (SUM, AVERAGE, COUNT, etc.)
• Working with time intelligence functions in DAX
• Implementing advanced DAX calculations (RANKX, FILTER, etc.)
• Utilizing DAX variables for complex calculations
• Debugging and troubleshooting DAX formulas in Power BI
• Optimizing DAX performance for large datasets
• 6. Advanced Analytics :
• Introduction to advanced analytics in Power BI
• Implementing forecasting models for predictive analysis
• Clustering data using machine learning algorithms in Power BI
• Integrating R scripts in Power BI for advanced analytics
• Utilizing Python scripts in Power BI for data analysis
• Creating custom visuals using R and Python in Power BI
• Exploring anomaly detection and outlier analysis in Power BI
• Implementing sentiment analysis in Power BI
• Using key influencers and decomposition tree for advanced insights

Who Should Take Power Bi Course?

• Business analysts: By mastering Power BI, business analysts can improve their data analysis and reporting skills. They can make use of its features to draw insightful conclusions from large, complicated datasets and display those conclusions in aesthetically appealing dashboards.
• Data analysts: By studying Power BI, data analysts may enhance their skill set. To effectively communicate data-driven insights, they can learn how to connect to diverse data sources, convert and model data, and develop interactive visualisations. Data Analytics Course in Vizag
• Data scientists: By using Power BI as a platform to present their analytical results, data scientists can gain from this software. They can offer their data-driven ideas and solutions via interactive dashboards they can make using Power BI.
• Project Managers: Project managers can use Power BI to monitor key performance indicators (KPIs), create reports and dashboards for stakeholders, and track the progress of their projects. They are able to see project data in real-time and make wise judgements thanks to it.
• Executives and Managers: Power BI can help executives and managers at all levels obtain insights into business performance, keep an eye on important metrics, and make data-driven choices. With the use of Power BI, they are able to view all of the data belonging to their organisation in a clear and simple manner.
• Students and data enthusiasts can enrol in a Power BI course to advance their knowledge of data analysis, visualisation, and storytelling. Additionally, students seeking degrees in business, data science, or analytics might improve their competitiveness.