Sharda Nand Mandal

Years of Experience in MS Access Training

6

Years of Experience in Advanced VBScript Training

6

Years of Experience in Microsoft Excel Training classes

6

Years of Experience in SQL Server Training

1

Years of Experience in Tableau Training

1

Years of Experience in Python Training classes

10

Teaching Experience in detail in Python Training classes

Python Teaching Experience I have trained over 500 professionals and students in Python—ranging from fresh graduates to mid-career professionals looking to upskill. My sessions focus on real-world, problem-solving applications of Python, making it accessible even to those with no prior coding background. The curriculum begins with Python fundamentals: variables, data types, loops, conditionals, and functions—laying a solid foundation. We then progress to intermediate concepts like list comprehensions, file handling, exception management, and working with built-in libraries. I also introduce learners to Object-Oriented Programming (OOP) and how to structure clean, modular code for long-term projects. What sets my approach apart is its emphasis on Python for automation and data. Trainees learn how to automate Excel reports, scrape data from websites, handle PDFs and CSVs, and schedule repetitive tasks—using libraries like pandas, openpyxl, requests, and BeautifulSoup. These skills are directly applicable in business, operations, marketing, and analytics roles. For those interested in analytics and machine learning, I offer an optional track covering data analysis and visualization with pandas, matplotlib, and seaborn. We also touch upon basic machine learning models using scikit-learn, helping learners build their first predictive model. My teaching style is interactive and hands-on. Every concept is reinforced with live coding sessions, practical assignments, and mini-projects. Learners build automation scripts, dashboards, and analysis tools that simulate actual workplace scenarios. I use Jupyter Notebook, Google Colab, and VS Code for coding, with GitHub for version control and submission tracking. Tools are selected to match real-world environments, not just academic setups. Whether teaching corporate teams or individual learners, my goal is simple: demystify coding and turn Python into a productivity weapon. The impact? Over 90% of my learners use Python in their jobs within a month of completing the course.