Vinod Punjabi

Years of Experience in SQL Programming Training

14

Years of Experience in SSIS Training

2

Teaching Experience in detail in SSIS Training

I have expertise in SSIS. I have 11 years of ETL experience.

Years of Experience in Microsoft Power BI classes

2

Teaching Experience in detail in Microsoft Power BI classes

I have expertise in Power BI in teaching to make concepts very clear along with Hands On.

Years of Experience in Tableau Training

3

Teaching Experience in detail in Tableau Training

I have knowledge in tableau and will make sure students understand the things in detail

Years of Experience in Python Training classes

3

Teaching Experience in detail in Python Training classes

With extensive experience in delivering Python training, I have honed my skills in teaching both foundational and advanced Python programming concepts. My training approach is designed to cater to learners at various levels, from beginners to more experienced developers. Training Overview **1. Introduction to Python: Fundamentals: Covered Python syntax, data types, and basic operations. Emphasized best practices for writing clean and efficient code. Control Flow: Detailed instruction on conditional statements and loops, including practical exercises to reinforce concepts. Functions and Modules: Taught how to define and use functions, manage function arguments, and work with Python modules for code reusability. **2. Data Handling and Analysis: Data Structures: In-depth lessons on lists, tuples, dictionaries, and sets, including their applications and performance considerations. File Operations: Guided learners through reading from and writing to files, handling different file formats, and practical use cases. **3. Advanced Python Concepts: Object-Oriented Programming: Introduced classes and objects, inheritance, and polymorphism. Provided hands-on exercises to develop practical OOP skills. Error Handling: Explained exception handling using try, except, finally, and raise statements to build robust applications. **4. Data Visualization: Libraries: Demonstrated the use of libraries such as Matplotlib and Seaborn for creating a range of visualizations, from basic plots to complex charts. Interactive Plots: Introduced tools like Plotly for interactive data visualization and web-based plotting. **5. Practical Applications: Best Practices: Emphasized code optimization, testing, and version control practices to prepare learners for professional development environments. Teaching Methodology Interactive Learning: Utilized a mix of lectures, hands-on coding exercises, and group discussions to reinforce concepts. Customized Content: Adapted training materials to align with the specific needs and skill levels of participants. Real-World Examples: Incorporated industry-relevant examples and case studies to illustrate the application of Python in various domains.