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
R Programming, Machine learning, Python, 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
Programming Fundamentals, Basic Statistics and Probability, Software Engineering, Discrete Structures, Calculus and Geometry, Operational Research, Data Structures, Theory of Computations, Statistical Methodology, Artificial Intelligence, Data Mining, Computer Systems Architecture, Calculus and Matrices, Microprocessors
Type of class
Crash Course, Regular Classes
BSc IT Subjects
Advance and data structure, Foundation of mathematics & statistics, communication skills, Problem solving methodologies & programming in C
BSc Economics subjects
Matrix Algebra, Microeconomics, Econometric Methods
Class strength catered to
Group Classes, One on one/ Private Tutions
Taught in School or College
Yes
BSc Branch
BSc Computer Science, BSc Mathematics, BSc IT, BSc Economics, BSc Statistics
BSc Statistics Subjects
Operational Research, Real Analysis, Bio-Statistics, Numerical Analysis, Design of Experiments, Econometrics, Statistical Inference, Algebra, Computer Programming in C, Linear Models, Survey Sampling, Stochastic Processes, Probability and Statistical Methods, Applied Statistics, Calculus, Technical Writing and Communication in English
BSc Mathematics Subjects
Analysis, Number Theory, Discrete Mathematics, Mathematical Finance, Differential Equations and Mathematical Modelling, Numerical Methods and Programming, Algebra, Probability and Statistics, Economics
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
Simulation and Modelling, Linux Programming, Programming in C#, Artificial Intelligence, Machine Intelligence, Machine Learning, Big Data Analytics, Data Structures and Algorithms
BTech Branch
BTech Computer Science Engineering, BTech Information Science Engineering, BTech 1st Year Engineering, Telecom Engineering
BTech Information Science subjects
Web Intelligence, Data Structures and Algorithms, Software Architecture, Data Warehousing and Data Mining, Software Engineering, Cloud Computing, Embedded Systems, Neural Network and Fuzzy Logic, Principles of Data Communication, Big Data Analytics, Pattern Recognition, Computer Vision, Mobile Computing, Software Defined Networking, Artificial Intelligence, Business Intelligence, Computer Networks, Semantic Web, Machine Learning, Design & Analysis of Algorithms, Social Network Analytics
Type of class
Crash Course, Regular Classes
Class strength catered to
Group Classes, One on one/ Private Tutions
Taught in School or College
Yes
BTech 1st Year subjects
Computer science, Communication Skills, Advanced Mathematics (M2), Engineering Mathematics (M1)
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
R Programming, Machine learning, Python, 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
Programming Fundamentals, Basic Statistics and Probability, Software Engineering, Discrete Structures, Calculus and Geometry, Operational Research, Data Structures, Theory of Computations, Statistical Methodology, Artificial Intelligence, Data Mining, Computer Systems Architecture, Calculus and Matrices, Microprocessors
Type of class
Crash Course, Regular Classes
BSc IT Subjects
Advance and data structure, Foundation of mathematics & statistics, communication skills, Problem solving methodologies & programming in C
BSc Economics subjects
Matrix Algebra, Microeconomics, Econometric Methods
Class strength catered to
Group Classes, One on one/ Private Tutions
Taught in School or College
Yes
BSc Branch
BSc Computer Science, BSc Mathematics, BSc IT, BSc Economics, BSc Statistics
BSc Statistics Subjects
Operational Research, Real Analysis, Bio-Statistics, Numerical Analysis, Design of Experiments, Econometrics, Statistical Inference, Algebra, Computer Programming in C, Linear Models, Survey Sampling, Stochastic Processes, Probability and Statistical Methods, Applied Statistics, Calculus, Technical Writing and Communication in English
BSc Mathematics Subjects
Analysis, Number Theory, Discrete Mathematics, Mathematical Finance, Differential Equations and Mathematical Modelling, Numerical Methods and Programming, Algebra, Probability and Statistics, Economics
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
Simulation and Modelling, Linux Programming, Programming in C#, Artificial Intelligence, Machine Intelligence, Machine Learning, Big Data Analytics, Data Structures and Algorithms
BTech Branch
BTech Computer Science Engineering, BTech Information Science Engineering, BTech 1st Year Engineering, Telecom Engineering
BTech Information Science subjects
Web Intelligence, Data Structures and Algorithms, Software Architecture, Data Warehousing and Data Mining, Software Engineering, Cloud Computing, Embedded Systems, Neural Network and Fuzzy Logic, Principles of Data Communication, Big Data Analytics, Pattern Recognition, Computer Vision, Mobile Computing, Software Defined Networking, Artificial Intelligence, Business Intelligence, Computer Networks, Semantic Web, Machine Learning, Design & Analysis of Algorithms, Social Network Analytics
Type of class
Crash Course, Regular Classes
Class strength catered to
Group Classes, One on one/ Private Tutions
Taught in School or College
Yes
BTech 1st Year subjects
Computer science, Communication Skills, Advanced Mathematics (M2), Engineering Mathematics (M1)
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