Abhishek Patel

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Data Analytics classes

4

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Microsoft Excel Training classes

5

Teaching Experience in detail in Microsoft Excel Training classes

Here's a professional description focused **only on Microsoft Excel Training** that is suitable for an UrbanPro profile: --- I have over **3 years of experience** training students, working professionals, and corporate teams in Microsoft Excel, from beginner to advanced levels. My teaching focuses on practical, real-world applications rather than just explaining formulas. I cover Excel fundamentals, data cleaning, sorting and filtering, conditional formatting, data validation, lookup functions (VLOOKUP, XLOOKUP, INDEX-MATCH), logical functions (IF, IFS, AND, OR), text, date and financial functions, Pivot Tables, charts, dashboards, and basic Power Query. Every concept is taught using industry-based datasets from sales, HR, finance, inventory, and business operations. My sessions are highly interactive and include hands-on exercises, assignments, quizzes, case studies, and mini-projects that help learners build confidence in solving real business problems. I also guide learners on Excel interview questions, shortcuts, best practices, and reporting techniques commonly used in the workplace. I have trained college students, job seekers, and professionals looking to improve productivity or transition into Data Analytics, Business Analytics, and reporting roles. My objective is to ensure learners can confidently use Excel in real-world business scenarios, not just complete theoretical exercises.

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Microsoft Power BI classes

4

Teaching Experience in detail in Microsoft Power BI classes

I have over **3 years of experience** teaching Microsoft Power BI to students, working professionals, and aspiring Data Analysts. My training is designed to help learners build practical skills by working on real-world business datasets and reporting scenarios rather than just learning the software. The course covers Power BI Desktop, data import, data transformation using Power Query, data modeling, relationships, star schema, DAX functions, calculated columns, measures, KPIs, charts, maps, slicers, drill-through, bookmarks, report optimization, and interactive dashboard development. I also teach best practices for creating professional business reports and dashboards used in industries such as sales, finance, HR, and operations. My teaching methodology is completely hands-on. Every concept is explained through live demonstrations, guided practice, assignments, quizzes, case studies, and end-to-end dashboard projects. Students learn how to clean data, analyze business performance, create meaningful visualizations, and present actionable insights to stakeholders. I also prepare learners for Power BI interviews by covering commonly asked technical questions, DAX problem-solving techniques, dashboard design principles, and real business use cases. My goal is to ensure every learner can confidently build professional Power BI reports and apply their skills in the workplace or data analytics projects.

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Python Training classes

4

Teaching Experience in detail in Python Training classes

I have over 3 years of experience teaching Python to students, working professionals, and aspiring Data Analysts. My training emphasizes building strong programming fundamentals through hands-on coding, practical exercises, and real-world projects rather than relying on theory alone. The course covers Python basics, variables, data types, operators, conditional statements, loops, functions, modules, file handling, exception handling, object-oriented programming (OOP), and working with popular libraries such as NumPy, Pandas, Matplotlib, and Seaborn. Students also learn how to perform data cleaning, analysis, visualization, and automation using Python. My teaching approach is highly practical. Every topic is explained through live coding sessions, coding challenges, assignments, quizzes, mini-projects, and real-world datasets. Learners develop problem-solving skills and gain confidence in writing clean, efficient, and reusable Python code. I also prepare students for technical interviews by covering Python coding questions, debugging techniques, best coding practices, and project-based learning. Whether a learner is starting from scratch or aiming to build a career in Data Analytics, Data Science, or automation, my goal is to help them develop strong Python programming skills that can be applied confidently in real-world scenarios.