Donthu Ravidar

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Microsoft Power BI classes

14

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Tableau Training

8

Teaching Experience in detail in Tableau Training

I have 14 years fo IT Real time work experience worked with Infosys, TCS, Cyient, Dell and Callaway Digital Technologies Companies. Worked with Product based Companies and Service based companies well know global companies. I was trained number of new Joiner in IT company in my team member given training on Power BI and Tableau.

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in SQL Server Training

6

Teaching Experience in detail in SQL Server Training

I have teaching in varies training institutes and Corporate Companies. Given hundreds of students on data analyst and Reporting Domani. Basic to advanced level of training as they need for reporting and data analysis purpose. DDL, DML, DCL, TCL, Windows Functions, Views, Indexes, Joins, Agreegated, sting, text functions, Those are helping to start their carrier on Data Analyst roles and Business Intelligence Roles.

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in MS Office Software Training

10

Teaching Experience in detail in MS Office Software Training

Microsoft Excel (Data Analysis & Spreadsheets) : Basics: Formatting cells, creating spreadsheets, formula entry. Intermediate: VLOOKUP/HLOOKUP, IF statements, conditional formatting, data validation. Advanced: Pivot Tables, data visualization (charts), Microsoft Word (Document Processing) : Formatting: Styles, themes, paragraph indentation, page layout. Structure: Headers/footers, table of contents, citations, section breaks. Automation: Mail merge, tracking changes, and collaboration tools. Microsoft PowerPoint (Presentations) Design: Slide layouts, themes, master slides, and multimedia integration. Delivery: Transitions, animations, speaker notes, and presenting Microsoft Outlook (Email & Calendar Management) Email: Rules, signatures, managing folders, and attachment handling. Calendar: Scheduling meetings, sharing calendars, and booking resources.

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Data Visualization Training

10

Teaching Experience in detail in Data Visualization Training

Tableau and Power BI are leading data visualization tools that transform raw data into interactive dashboards, aiding in data-driven decision-making. Tableau excels at complex, large-scale data analysis and advanced, highly customized visuals, while Power BI offers a user-friendly, Excel-like interface, making it ideal for quick reporting and seamless Microsoft ecosystem integration Tableau for Data Visualization Strengths: Known for handling vast datasets, advanced analytics, and creating highly interactive, complex visual stories. Best Use Cases: Deep exploratory data analysis, ad-hoc analysis, and scenarios requiring highly custom, creative dashboard designs. Key Features: Strong drag-and-drop functionality, extensive chart options (heat maps, tree maps, dual-axis), and robust analytical calculation capabilities Power BI for Data Visualization Strengths: Known for ease of use, strong integration with Microsoft tools (Excel, Azure, SQL Server), and fast report creation. Best Use Cases: Rapid, straightforward reporting, corporate BI dashboards, and scenarios requiring mobile-responsive dashboards. Key Features: Strong data modeling (DAX language), user-friendly interface for beginners, AI-powered insights, and interactive dashboards.

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Data Modeling Training

10

Teaching Experience in detail in Data Modeling Training

Power BI and Tableau are leading BI tools, but they differ in data modeling. Power BI shines with built-in, robust data modeling using DAX and Power Query to create complex, related schemas. Tableau focuses on user-friendly, exploratory, and advanced visual analysis, often using relationships or blends to connect data sources. Key Data Modeling Differences Power BI (Model-Centric): Uses a star schema approach where you define relationships (one-to-many) between fact and dimension tables, typically requiring more upfront modeling. Tableau (Visual-Centric): Uses a flexible "logical layer" that allows dragging tables to relate them without necessarily creating strict physical joins, simplifying complex data preparation. Data Prep: Power BI relies on the powerful built-in Power Query editor. Tableau often pairs with Tableau Prep Builder for complex ETL tasks. Calculation Language: Power BI uses DAX (Data Analysis Expressions) for complex, calculated columns and measures. Tableau uses its own formula language for calculated fields, which is often more intuitive for basic calculations.