Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in Python Training classes

3

Teaching Experience in detail in Python Training classes

I have been teaching Python through my YouTube channel “KVSTRICKS”, where I focus on making programming simple, accessible, and engaging for beginners as well as intermediate learners. My goal is to help students build a strong foundation in Python, starting from the basics like syntax, data types, and control structures, and gradually progressing to more advanced concepts such as object-oriented programming, file handling, and libraries for real-world applications. My teaching style is hands-on and practical. I emphasize learning by doing, encouraging students to solve exercises, implement mini-projects, and apply concepts to real-world examples. This approach not only helps learners understand the logic behind the code but also builds their confidence in problem-solving. I believe that programming should be interactive and enjoyable, so I design lessons that are clear, structured, and easy to follow, even for students who are completely new to coding. Through my tutorials, students gain the skills needed to write clean, efficient Python code and develop the confidence to explore advanced topics such as automation, data analysis, and application development. I strive to create a supportive learning environment, where learners feel motivated to practice, experiment, and grow at their own pace. Whether someone is just starting out or looking to strengthen their Python skills, my approach ensures that they not only learn to code but also develop the problem-solving mindset essential for success in programming and related fields.

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in Data Science Classes

1

Teaching Experience in detail in Data Science Classes

I have significant teaching experience in Data Science, guiding students and professionals through the complete data science lifecycle. My teaching covers data collection, data cleaning, exploratory data analysis (EDA), and data visualization using Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn. I train learners in statistical concepts, probability, hypothesis testing, and feature engineering, helping them understand how data-driven decisions are made. I also teach applied Machine Learning techniques used in Data Science, including regression, classification, clustering, and model evaluation. My sessions are hands-on and project-based, where learners work on real-world datasets to build end-to-end data science solutions. I emphasize practical problem-solving, interpreting results, and presenting insights clearly. My teaching approach ensures students build strong fundamentals and gain confidence in applying Data Science concepts to academic, professional, and real-world scenarios.

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in Data Analytics classes

1

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in Data Analysis Classes

1

Teaching Experience in detail in Data Analysis Classes

I have extensive teaching experience in Data Analysis, helping students and professionals develop strong analytical and data interpretation skills using real-world datasets. My teaching covers data collection, data cleaning, data preprocessing, and exploratory data analysis (EDA) using tools such as Python, Pandas, NumPy, Excel, and SQL. I train learners to analyze datasets, identify patterns and trends, perform statistical summaries, and create meaningful visualizations using Matplotlib and Seaborn. I also focus on writing efficient queries, handling missing data, and validating data quality. My sessions are hands-on and project-oriented, enabling learners to work on practical case studies such as business reports, dashboards, and data-driven insights. I emphasize analytical thinking, clear presentation of findings, and real-world problem-solving to help learners confidently apply data analysis skills in academic and professional environments.

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in Generative AI Classes

1

Teaching Experience in detail in Generative AI Classes

I teach Generative AI with a strong focus on practical implementation. I guide students in understanding Large Language Models (LLMs), transformers, prompt engineering, and real-world AI workflows. My sessions cover building GenAI applications using Python and LangChain, including chatbots, document-based Q&A systems, and retrieval-augmented generation (RAG). I emphasize hands-on learning, API integration, backend deployment, and best practices for reliable and responsible use of Generative AI, enabling learners to confidently build and deploy real-world GenAI solutions.