Kamalakar

Class Location

Online class via Zoom

Student's home

Tutor's Home

Years of Experience in Microsoft Azure Training

10

Teaching Experience in detail in Microsoft Azure Training

Hi Team, We are starting new Azure Online training for Microsoft Azure work stream. This will cover Azure Fundamentals, Azure Administration, Azure Architect track, Azure DevOps track. Prerequisites: None If you are new to IT environment and do not have experience or you are experienced in IT or non IT, this is learning track is for you. Whether you have experience or not having experience, it does not matter as long as you follow the instructions and complete the real time tasks on time, you will be able to take the interview and clear them. If you move to existing/new project on azure, you will be able to manage them. We provide: • Job Oriented Online session • real time tasks • Every Week Mock interview with feedback • Resume preparation • Free Azure portal access • Student can record all the sessions • Microsoft certified tutorials are shared • One to One sessions to clarify the douts

Class Location

Online class via Zoom

Willing to travel

Tutor's Home

Years of Experience in Windows Powershell

10

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in VMware Training

10

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in VMware Cloud Training

10

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Data Science Classes

10

Teaching Experience in detail in Data Science Classes

I have experience teaching Data Science with a strong focus on both foundational concepts and practical applications. My teaching covers key areas such as Python programming for data analysis, statistics and probability, data cleaning and preprocessing, data visualization, and introductory to intermediate machine learning concepts. I structure my sessions to make complex topics easy to understand, especially for beginners and working professionals transitioning into Data Science. I use real-world datasets and case studies to help learners connect theory with practical use cases. For example, I guide students through end-to-end workflows such as data collection, exploratory data analysis (EDA), feature engineering, model building, and evaluation. In Python, I teach essential libraries including NumPy, Pandas, Matplotlib, and Scikit-learn, ensuring learners gain hands-on experience in solving real problems. I also emphasize statistical thinking, helping students understand concepts like distributions, hypothesis testing, correlation, and regression in a practical context. My approach is interactive and assignment-driven, with coding exercises, mini-projects, and doubt-clearing sessions to reinforce learning. I also help learners build confidence in interpreting results and communicating insights effectively, which is a critical skill in Data Science roles. Overall, my goal is to make learners job-ready by building both conceptual clarity and strong practical skills in Data Science.