Roshan Gangurde

Creative Data Analysis & Machine Learning lessons with interactive focus

4.5(37)

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Roshan Gangurde

Bachelors degree

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Each lesson is 55 min

50 lessons


20% off

/ lesson

30 lessons


15% off

/ lesson

20 lessons


10% off

/ lesson

10 lessons


5% off

/ lesson

5 lessons


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/ lesson

1 lessons


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/ lesson

About your data science tutor

I'm Dr. Roshan, and I'm passionate about the dynamic world of Data Science and AI. Currently, I'm serving as an Associate Professor in Computer Science at Karnavati University located in Gandhinagar, Gujarat, India. Education: In October 2020, I proudly earned my Ph.D. in Computer Science from Savitribai Phule Pune University, Pune. My dedication to knowledge doesn't stop there; I'm also a qualified UGC-NET (Computer Science & Applications) exam taker, achieving this distinction in June 2012. Research Interests: My professional journey has been driven by a keen interest in Data Mining, Data Science, Business Analytics, and Machine Learning. I've had the privilege of contributing to these fields with a total of 9 research papers and 5 conference papers published in SCI and Scopus-indexed journals and conferences. Notably, my innovative spirit led to the granting of an Australian Innovation Patent. Qualifications: Ph.D. in Computer Science UGC-NET in Computer Science & Applications MCA in Computer Science BCS in Computer Science Experience: With a total of 16 years of professional experience, I bring a unique blend of teaching and industry insights. My teaching experience spans 13 years, while I've also gained invaluable industry experience over 3 years.

Data Science tutor skills

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Assignment help

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Upskilling

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Data visualization

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Machine learning

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Statistical analysis

Learner types for data science class

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School

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College

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Adult / Professional

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All Levels

Data sciece class overview

As an educator in the field of computer science, I believe that my primary role is to help students develop a strong foundation of knowledge and skills that will enable them to become successful computer scientists. I approach teaching with the belief that learning is a lifelong process, and that every student has the potential to succeed if given the right guidance and support. My teaching philosophy is grounded in the belief that students learn best when they are actively engaged in the learning process. To this end, I create a classroom environment that encourages students to ask questions, share ideas, and participate in discussions. I also use a variety of teaching methods, including lectures, group activities, and hands-on projects, to help students develop a deep understanding of the material. In my computer science courses, I emphasize the importance of problem-solving skills. I believe that the ability to identify, analyze, and solve problems is essential for success in the field of computer science. To this end, I provide students with opportunities to practice these skills through a variety of activities, including programming assignments and group projects. Another key aspect of my teaching philosophy is the use of real-world examples and applications to illustrate the concepts covered in class. I believe that students are more engaged and motivated when they can see how the material they are learning applies to the world around them. Therefore, I strive to incorporate examples from current events and industry trends into my lectures and assignments. In summary, my teaching philosophy is grounded in the belief that every student has the potential to succeed in computer science if given the right guidance and support. I strive to create a classroom environment that encourages active learning, problem-solving, and collaboration, and that incorporates real-world examples and applications. By helping students develop a growth mindset and staying current with industry trends, I aim to prepare them for success in their future careers as computer scientists.

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Hands-on learning

Students gain confidence applying coding skills to real projects.

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Debugging and problem-solving focus

85% of students improve debugging skills.

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Flexible lesson scheduling

90% of students find it easy to schedule lessons.

Your data science tutor also teaches

Data Analysis

Data Analysis

Machine Learning

Machine Learning

Power BI

Power BI

Statistics

Statistics

Flexible Scheduling

Allows 1h early scheduling

Allows 1h early rescheduling

Can wait for 20 mins after joining

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10 day Refund

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Free Tutor Swap

Teaching tools used by data science tutor

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Quizzes

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Practice worksheets

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Digital whiteboard

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Presentations

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Assessments

Interactive data science classes

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Pets are welcomed

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Data Science tutors on Wiingy are vetted for quality

Every tutor is interviewed and selected for subject expertise and teaching skill.