Sector 38 Islampur Village, Gurgaon, India - 122018.
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Hindi Proficient
English Proficient
banaras hindu university 2007
Master of Science (M.Sc.)
Sector 38 Islampur Village, Gurgaon, India - 122018
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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
10
Data science techniques
Python, Machine learning, R Programming, Artificial Intelligence
Teaching Experience in detail in Data Science Classes
I currently work as Data scientist and has more than 6 years experience in it.
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in BSc Tuition
11
BSc Computer Science Subjects
Statistical Methodology, Artificial Intelligence, Data Structures, Microprocessors, Data Mining, Software Engineering, Discrete Structures, Theory of Computations, Calculus and Matrices, Calculus and Geometry, Operational Research, Programming Fundamentals, Computer Systems Architecture, Basic Statistics and Probability
Type of class
Regular Classes, Crash Course
BSc IT Subjects
communication skills, Foundation of mathematics & statistics, Advance and data structure, Problem solving methodologies & programming in C
BSc Economics subjects
Econometric Methods, Matrix Algebra, Microeconomics
Class strength catered to
Group Classes, One on one/ Private Tutions
Taught in School or College
Yes
BSc Branch
BSc Statistics, BSc IT, BSc Mathematics, BSc Computer Science, BSc Economics
BSc Statistics Subjects
Computer Programming in C, Probability and Statistical Methods, Bio-Statistics, Real Analysis, Numerical Analysis, Applied Statistics, Calculus, Linear Models, Technical Writing and Communication in English, Statistical Inference, Algebra, Stochastic Processes, Design of Experiments, Operational Research, Survey Sampling, Econometrics
BSc Mathematics Subjects
Differential Equations and Mathematical Modelling, Mathematical Finance, Analysis, Number Theory, Numerical Methods and Programming, Algebra, Discrete Mathematics, Economics, Probability and Statistics
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in BTech Tuition
11
BTech Computer Science subjects
Linux Programming, Programming in C#, Machine Learning, Simulation and Modelling, Big Data Analytics, Artificial Intelligence, Data Structures and Algorithms, Machine Intelligence
BTech Branch
BTech Computer Science Engineering, Telecom Engineering, BTech 1st Year Engineering, BTech Information Science Engineering
BTech Information Science subjects
Data Warehousing and Data Mining, Embedded Systems, Cloud Computing, Software Architecture, Data Structures and Algorithms, Machine Learning, Pattern Recognition, Software Defined Networking, Neural Network and Fuzzy Logic, Principles of Data Communication, Big Data Analytics, Computer Vision, Web Intelligence, Business Intelligence, Computer Networks, Artificial Intelligence, Semantic Web, Design & Analysis of Algorithms, Mobile Computing, Software Engineering, Social Network Analytics
Type of class
Regular Classes, Crash Course
Class strength catered to
Group Classes, One on one/ Private Tutions
Taught in School or College
Yes
BTech 1st Year subjects
Communication Skills, Engineering Mathematics (M1), Advanced Mathematics (M2), Computer science
Upcoming Live Classes
1. Which classes do you teach?
I teach BSc Tuition, BTech Tuition and Data Science Classes.
2. Do you provide a demo class?
Yes, I provide a paid demo class.
3. How many years of experience do you have?
I have been teaching for 10 years.
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
10
Data science techniques
Python, Machine learning, R Programming, Artificial Intelligence
Teaching Experience in detail in Data Science Classes
I currently work as Data scientist and has more than 6 years experience in it.
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in BSc Tuition
11
BSc Computer Science Subjects
Statistical Methodology, Artificial Intelligence, Data Structures, Microprocessors, Data Mining, Software Engineering, Discrete Structures, Theory of Computations, Calculus and Matrices, Calculus and Geometry, Operational Research, Programming Fundamentals, Computer Systems Architecture, Basic Statistics and Probability
Type of class
Regular Classes, Crash Course
BSc IT Subjects
communication skills, Foundation of mathematics & statistics, Advance and data structure, Problem solving methodologies & programming in C
BSc Economics subjects
Econometric Methods, Matrix Algebra, Microeconomics
Class strength catered to
Group Classes, One on one/ Private Tutions
Taught in School or College
Yes
BSc Branch
BSc Statistics, BSc IT, BSc Mathematics, BSc Computer Science, BSc Economics
BSc Statistics Subjects
Computer Programming in C, Probability and Statistical Methods, Bio-Statistics, Real Analysis, Numerical Analysis, Applied Statistics, Calculus, Linear Models, Technical Writing and Communication in English, Statistical Inference, Algebra, Stochastic Processes, Design of Experiments, Operational Research, Survey Sampling, Econometrics
BSc Mathematics Subjects
Differential Equations and Mathematical Modelling, Mathematical Finance, Analysis, Number Theory, Numerical Methods and Programming, Algebra, Discrete Mathematics, Economics, Probability and Statistics
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in BTech Tuition
11
BTech Computer Science subjects
Linux Programming, Programming in C#, Machine Learning, Simulation and Modelling, Big Data Analytics, Artificial Intelligence, Data Structures and Algorithms, Machine Intelligence
BTech Branch
BTech Computer Science Engineering, Telecom Engineering, BTech 1st Year Engineering, BTech Information Science Engineering
BTech Information Science subjects
Data Warehousing and Data Mining, Embedded Systems, Cloud Computing, Software Architecture, Data Structures and Algorithms, Machine Learning, Pattern Recognition, Software Defined Networking, Neural Network and Fuzzy Logic, Principles of Data Communication, Big Data Analytics, Computer Vision, Web Intelligence, Business Intelligence, Computer Networks, Artificial Intelligence, Semantic Web, Design & Analysis of Algorithms, Mobile Computing, Software Engineering, Social Network Analytics
Type of class
Regular Classes, Crash Course
Class strength catered to
Group Classes, One on one/ Private Tutions
Taught in School or College
Yes
BTech 1st Year subjects
Communication Skills, Engineering Mathematics (M1), Advanced Mathematics (M2), Computer science
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