Whitefield, Bangalore, India - 560066.
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Hindi Mother Tongue (Native)
English Proficient
CIEM 2020
Bachelor of Technology (B.Tech.)
Whitefield, Bangalore, India - 560066
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Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
5
Data science techniques
Python, Artificial Intelligence, Machine learning
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Python Training classes
5
Course Duration provided
1-3 months
Seeker background catered to
Educational Institution, Individual
Certification provided
No
Python applications taught
Data Extraction with Python , Machine Learning with Python, Core Python, Data Science with Python, Text Processing with Python, Data Analysis with Python , Data Visualization with Python
Teaching Experience in detail in Python Training classes
With over 4.5 years in data science and analytics, I’ve had the pleasure of teaching Python to a wide range of students, from beginners to those looking to refine their skills. My approach to Python training is hands-on and practical. I start with the basics, guiding students through Python’s syntax, data types, and core programming concepts. The goal here is to build a solid foundation. As we progress, I introduce more advanced topics, including object-oriented programming and using libraries like NumPy and Pandas. A significant part of my teaching involves project-based learning. Students work on real-world projects that apply Python to solve actual problems, which helps bridge the gap between theory and practice. I believe that working on practical projects is the best way to understand and retain programming concepts. I also emphasize plenty of coding exercises and challenges. These are designed to stretch students' problem-solving skills and boost their confidence. I offer personalized feedback on assignments, focusing on areas for improvement and helping students learn from their mistakes. In my classes, I make sure to connect Python concepts to real-world data science and machine learning applications. This approach not only prepares students for technical challenges but also equips them with practical skills they can use in their careers.
1. Which classes do you teach?
I teach Data Science and Python Training Classes.
2. Do you provide a demo class?
Yes, I provide a free demo class.
3. How many years of experience do you have?
I have been teaching for 5 years.
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
5
Data science techniques
Python, Artificial Intelligence, Machine learning
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Python Training classes
5
Course Duration provided
1-3 months
Seeker background catered to
Educational Institution, Individual
Certification provided
No
Python applications taught
Data Extraction with Python , Machine Learning with Python, Core Python, Data Science with Python, Text Processing with Python, Data Analysis with Python , Data Visualization with Python
Teaching Experience in detail in Python Training classes
With over 4.5 years in data science and analytics, I’ve had the pleasure of teaching Python to a wide range of students, from beginners to those looking to refine their skills. My approach to Python training is hands-on and practical. I start with the basics, guiding students through Python’s syntax, data types, and core programming concepts. The goal here is to build a solid foundation. As we progress, I introduce more advanced topics, including object-oriented programming and using libraries like NumPy and Pandas. A significant part of my teaching involves project-based learning. Students work on real-world projects that apply Python to solve actual problems, which helps bridge the gap between theory and practice. I believe that working on practical projects is the best way to understand and retain programming concepts. I also emphasize plenty of coding exercises and challenges. These are designed to stretch students' problem-solving skills and boost their confidence. I offer personalized feedback on assignments, focusing on areas for improvement and helping students learn from their mistakes. In my classes, I make sure to connect Python concepts to real-world data science and machine learning applications. This approach not only prepares students for technical challenges but also equips them with practical skills they can use in their careers.
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