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Agara, Srinivaspur, India - 563138.
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Kannada Mother Tongue (Native)
English Proficient
Telugu Proficient
VTU 2015
Master of Engineering - Master of Technology (M.E./M.Tech.)
Agara, Srinivaspur, India - 563138
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Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Tableau Training
5
Teaching Experience in detail in Tableau Training
• Having 5 years of work experience in the IT industry with good exposure in Business Intelligence suite with TABLEAU And database is SQL . • Having 3+ years of experience in giving training for Tableau. • Experience on Tableau Desktop, Tableau Server and Tableau Reader • Interact with Business users and understanding their requirements • Developed POCs by building reports and dashboards using Tableau Desktop to demonstrate quick wins • Experience in design and deploy rich Graphic visualizations with Drill Down and Drop down menu option and Parameterized using Tableau • Preparing Dashboards using calculations, parameters in Tableau • Extensive knowledge in various reporting objects like Facts, Attributes, LOD Expressions,Hierarchies, filters, prompts, Calculated fields, Sets , Groups, Parameters etc., in Tableau. • Worked on the development of Dashboard reports for the Key Performance Indicators for the top management. • Publishing dashboards and data sources to Tableau Server as well as managing access, user security, refreshing of Tableau extracts, etc • Created Users Groups & Projects, Schedules, Subscription, sites on tableau server • Good Domain knowledge of Health,Sales, Insurance , Banking and Finance • Good adaptability and effective communication skills
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Microsoft Power BI classes
5
Teaching Experience in detail in Microsoft Power BI classes
• Having 5 years of work experience in the IT industry with good exposure in Business Intelligence suite with POWER BI and POWER BI SERVICES database is SQL . • Having 4+ years of experience in giving training for POWER BI Microsoft Power BI is a powerful business analytics tool that allows users to create interactive and visually appealing reports and dashboards. It enables users to connect to various data sources, transform and model the data, and then create visualizations and share insights with others. When teaching Microsoft Power BI, instructors typically follow a structured approach that covers the fundamental concepts and functionalities of the tool. The curriculum may include the following topics: Introduction to Power BI: Understanding the purpose and features of Power BI, exploring its interface, and getting familiar with the different components such as workspaces, datasets, reports, and dashboards. Data sources and connections: Learning how to connect Power BI to different data sources, such as Excel files, databases, cloud services like Azure, SharePoint, and more. Data transformation and modeling: Exploring the Power Query Editor to clean and transform data before loading it into Power BI. Understanding data modeling concepts, creating relationships between tables, and defining calculated columns and measures. Data visualization: Learning how to create various types of visualizations like charts, tables, maps, and gauges. Understanding the use of slicers, filters, and drill-through options to interact with the data. Power BI DAX (Data Analysis Expressions): An essential language for creating custom calculations and measures in Power BI. Students would be taught the basics of DAX functions and how to write advanced formulas. Power BI Service: Understanding how to publish and share reports and dashboards on the Power BI service. Learning about collaboration features, sharing options, and managing data refresh schedules. Advanced topics: Exploring more advanced features of Power BI, such as using custom visuals, creating complex calculations, utilizing Power Query M language, and implementing row-level security. Real-world projects: Encouraging students to work on practical projects that mimic real business scenarios. This helps them apply their knowledge and gain hands-on experience in solving data analysis problems. During the teaching process, instructors may use a combination of lectures, demonstrations, hands-on exercises, and quizzes to engage students and reinforce their learning. Additionally, online resources like tutorials, documentation, and community forums can be valuable for students to explore and deepen their understanding of specific Power BI functionalities. Keep in mind that the teaching approach may vary depending on the audience's skill level (beginner, intermediate, or advanced) and the specific goals of the training program.
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Azure Data Factory Training
3
4.8 out of 5 5 reviews
Archana Shetty
Tableau
"Shaila is knowledgeable on topic and teaches patiently. A little issue of accent, and she needs to work on it, Rest she is amazing "
S Khan
Tableau
"Good curriculum. Knowledgeable trainer. Provided with good documentation and helped learn the real time concepts."
Sahil Jaitwani
Microsoft Power BI
"Great Learning platform. Mentor Having good knowledge. Thank you so much for your support. "
Sanya
Tableau
"Very interactive class, the teaching is quite decent and most of the things are getting covered. I would recommend definately. "
1. Which classes do you teach?
I teach Azure Data Factory Training, Microsoft Power BI and Tableau Classes.
2. Do you provide a demo class?
Yes, I provide a free demo class.
3. How many years of experience do you have?
I have been teaching for 5 years.
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Tableau Training
5
Teaching Experience in detail in Tableau Training
• Having 5 years of work experience in the IT industry with good exposure in Business Intelligence suite with TABLEAU And database is SQL . • Having 3+ years of experience in giving training for Tableau. • Experience on Tableau Desktop, Tableau Server and Tableau Reader • Interact with Business users and understanding their requirements • Developed POCs by building reports and dashboards using Tableau Desktop to demonstrate quick wins • Experience in design and deploy rich Graphic visualizations with Drill Down and Drop down menu option and Parameterized using Tableau • Preparing Dashboards using calculations, parameters in Tableau • Extensive knowledge in various reporting objects like Facts, Attributes, LOD Expressions,Hierarchies, filters, prompts, Calculated fields, Sets , Groups, Parameters etc., in Tableau. • Worked on the development of Dashboard reports for the Key Performance Indicators for the top management. • Publishing dashboards and data sources to Tableau Server as well as managing access, user security, refreshing of Tableau extracts, etc • Created Users Groups & Projects, Schedules, Subscription, sites on tableau server • Good Domain knowledge of Health,Sales, Insurance , Banking and Finance • Good adaptability and effective communication skills
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Microsoft Power BI classes
5
Teaching Experience in detail in Microsoft Power BI classes
• Having 5 years of work experience in the IT industry with good exposure in Business Intelligence suite with POWER BI and POWER BI SERVICES database is SQL . • Having 4+ years of experience in giving training for POWER BI Microsoft Power BI is a powerful business analytics tool that allows users to create interactive and visually appealing reports and dashboards. It enables users to connect to various data sources, transform and model the data, and then create visualizations and share insights with others. When teaching Microsoft Power BI, instructors typically follow a structured approach that covers the fundamental concepts and functionalities of the tool. The curriculum may include the following topics: Introduction to Power BI: Understanding the purpose and features of Power BI, exploring its interface, and getting familiar with the different components such as workspaces, datasets, reports, and dashboards. Data sources and connections: Learning how to connect Power BI to different data sources, such as Excel files, databases, cloud services like Azure, SharePoint, and more. Data transformation and modeling: Exploring the Power Query Editor to clean and transform data before loading it into Power BI. Understanding data modeling concepts, creating relationships between tables, and defining calculated columns and measures. Data visualization: Learning how to create various types of visualizations like charts, tables, maps, and gauges. Understanding the use of slicers, filters, and drill-through options to interact with the data. Power BI DAX (Data Analysis Expressions): An essential language for creating custom calculations and measures in Power BI. Students would be taught the basics of DAX functions and how to write advanced formulas. Power BI Service: Understanding how to publish and share reports and dashboards on the Power BI service. Learning about collaboration features, sharing options, and managing data refresh schedules. Advanced topics: Exploring more advanced features of Power BI, such as using custom visuals, creating complex calculations, utilizing Power Query M language, and implementing row-level security. Real-world projects: Encouraging students to work on practical projects that mimic real business scenarios. This helps them apply their knowledge and gain hands-on experience in solving data analysis problems. During the teaching process, instructors may use a combination of lectures, demonstrations, hands-on exercises, and quizzes to engage students and reinforce their learning. Additionally, online resources like tutorials, documentation, and community forums can be valuable for students to explore and deepen their understanding of specific Power BI functionalities. Keep in mind that the teaching approach may vary depending on the audience's skill level (beginner, intermediate, or advanced) and the specific goals of the training program.
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Azure Data Factory Training
3
4.8 out of 5 5 reviews
Archana Shetty
Tableau
"Shaila is knowledgeable on topic and teaches patiently. A little issue of accent, and she needs to work on it, Rest she is amazing "
S Khan
Tableau
"Good curriculum. Knowledgeable trainer. Provided with good documentation and helped learn the real time concepts."
Sahil Jaitwani
Microsoft Power BI
"Great Learning platform. Mentor Having good knowledge. Thank you so much for your support. "
Sanya
Tableau
"Very interactive class, the teaching is quite decent and most of the things are getting covered. I would recommend definately. "
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