Amritpur, Aligarh, India - 202132.
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Hindi Mother Tongue (Native)
English Proficient
Aligarh Muslim University
2019
Bachelor of Science (B.Sc.)
NIT WARANGAL
2021
Master of Science (M.Sc.)
Amritpur, Aligarh, India - 202132
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Education Verified
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S
Saraswati vidhya mandir
Aligarh City, Aligarh
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Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Class 12 Tuition
5
Board
State, International Baccalaureate, NIOS, ISC/ICSE, CBSE, IGCSE, AS/A levels
Preferred class strength
Group Classes, One on one/ Private Tutions
Experience in School or College
Saraswati vidhya mandir
Subjects taught
Mathematics, Information Technology, Computer Science, Business, Hindi, Business Studies, Statistics, Applied Mathematics
Taught in School or College
Yes
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in BA Tuition
3
Field tutored for
Mathematics
BA Mathematics Subjects
Numerical Methods, Calculus, Differential Equations, Number Theory, Linear Programming and Theory of Games, Group Theory, C++ Programming, Algebra, Partial Differential Equations, Computer Algebra Systems and Related Softwares, Complex Analysis, Probability Theory and Statistics, Applications of Algebra, Discrete Mathematics
Type of class
Crash Course, Regular Classes
Class strength catered to
Group Classes, One on one/ Private Tutions
Taught in School or College
Yes
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in BSc Tuition
3
BSc Computer Science Subjects
Information Security, Software Engineering, Artificial Intelligence, Operational Research, Calculus and Matrices, Data Structures, Calculus and Geometry, Real Analysis, Theory of Computations, Basic Statistics and Probability, Programming Fundamentals, Computer Systems Architecture, Network programming and Administration, Differential Equations, Data Mining
Type of class
Crash Course, Regular Classes
Class strength catered to
Group Classes, One on one/ Private Tutions
Taught in School or College
Yes
BSc Branch
BSc Mathematics, BSc Computer Science, BSc Statistics
BSc Statistics Subjects
Probability and Statistical Methods, Calculus, Operational Research, Computer Programming in C, Linear Models, Real Analysis, Applied Statistics, Numerical Analysis, Algebra
BSc Mathematics Subjects
Algebra, Number Theory, Differential Equations and Mathematical Modelling, Analysis, Numerical Methods and Programming, Calculus, Probability and Statistics
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Engineering Entrance Coaching classes
3
Engineering Entrance Exams
EAMCET, GATE Coaching Classes, IIT JEE Coaching Classes, Delhi CEE Coaching Classes
IITJEE Coaching
IIT JEE Crash Course, IIT JEE Mains Coaching, IIT JEE Integrated Coaching, IIT JEE Foundation Course
Type of class
Crash Course, Regular Classes
IIT-JEE Subjects
Maths
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in C Language Classes
3
Teaching Experience in detail in C Language Classes
Start with the basics: Begin by introducing the fundamental concepts of programming, such as data types, variables, operators, and control structures. Explain how these concepts relate to C language. Use examples: Provide examples that illustrate how C language works. Show students how to write simple programs that perform basic tasks such as displaying output, accepting input, and performing arithmetic operations. Emphasize syntax: C language has a very specific syntax that students need to learn. Spend time teaching them the correct syntax for statements, expressions, and control structures. Debugging: Debugging is an essential skill for any programmer. Teach students how to use debugging tools and techniques to find and fix errors in their code. Data structures: C language provides a variety of data structures such as arrays, linked lists, and stacks. Teach students how to use these data structures to efficiently store and manipulate data. Pointers: Pointers are one of the most challenging concepts in C language. Spend time teaching students how to use pointers to access and manipulate data. Projects: Encourage students to work on projects that apply the concepts they have learned. Provide guidance and feedback to help them complete their projects successfully. Resources: Provide students with additional resources such as books, online tutorials, and programming communities where they can continue to learn and develop their skills in C language. Overall, teaching C language requires patience, attention to detail, and a willingness to help students learn. By providing a solid foundation in the fundamentals, emphasizing syntax and debugging, and encouraging students to work on projects, you can help them become proficient in C language programming.
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Computer Classes
3
Type of Computer course taken
Training in Computer tools usage, Training in Software application usage, Basics of Computer usage
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Class 10 Tuition
3
Board
ICSE, International Baccalaureate, IGCSE, State, CBSE, NIOS
Preferred class strength
Group Classes, One on one/ Private Tutions
Subjects taught
Mathematics
Taught in School or College
Yes
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in C++ Language Classes
3
Proficiency level taught
Basic C++
Teaching Experience in detail in C++ Language Classes
Introduction: Start by introducing the basics of programming and C++ language. Discuss the history of the language, its key features, and how it is used today. Programming concepts: Discuss programming concepts such as data types, variables, operators, control structures, and functions. Explain how these concepts relate to C++ language. Object-Oriented Programming: Explain the concepts of Object-Oriented Programming (OOP) in C++ language, including classes, objects, encapsulation, inheritance, and polymorphism. Syntax: C++ has a specific syntax, and it is essential to teach the correct syntax for statements, expressions, and control structures. Standard Template Library: Teach students how to use the Standard Template Library (STL) in C++. STL provides a collection of classes and functions for various data structures and algorithms. Debugging: Debugging is an essential skill for any programmer. Teach students how to use debugging tools and techniques to find and fix errors in their code. Advanced topics: Teach advanced topics such as templates, exception handling, and operator overloading. Projects: Encourage students to work on projects that apply the concepts they have learned. Provide guidance and feedback to help them complete their projects successfully. Resources: Provide students with additional resources such as books, online tutorials, and programming communities where they can continue to learn and develop their skills in C++ language. Teaching C++ language requires patience, attention to detail, and a willingness to help students learn. By providing a solid foundation in the fundamentals, emphasizing syntax and debugging, and encouraging students to work on projects, you can help them become proficient in C++ language programming.
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
3
Data science techniques
Python, Artificial Intelligence, Machine learning
Teaching Experience in detail in Data Science Classes
Introduction: Start by introducing the basics of data science, including data types, data sources, and the data science workflow. Programming languages: Teach students programming languages commonly used in data science, such as Python and R. Data manipulation: Teach students how to manipulate and transform data using libraries such as Pandas in Python or dplyr in R. Data visualization: Teach students how to create effective visualizations of data using libraries such as Matplotlib in Python or ggplot2 in R. Statistical analysis: Teach students the fundamentals of statistical analysis, including probability, hypothesis testing, and regression analysis. Machine learning: Teach students the basics of machine learning, including supervised and unsupervised learning, feature engineering, model selection, and evaluation. Big data: Teach students how to work with big data using distributed computing frameworks such as Apache Hadoop and Spark. Ethics and bias: Discuss the ethical considerations involved in data science, including privacy, security, and algorithmic bias. Hands-on experience: Provide opportunities for students to work on real-world data science projects, including data cleaning, analysis, and visualization. Resources: Provide students with additional resources such as books, online tutorials, and data science communities where they can continue to learn and develop their skills in data science.
1. Which school boards of Class 12 do you teach for?
State, International Baccalaureate, NIOS and others
2. Have you ever taught in any School or College?
Yes
3. Which classes do you teach?
I teach BA Tuition, BSc Tuition, C Language, C++ Language, Class 10 Tuition, Class 12 Tuition, Computer, Data Science and Engineering Entrance Coaching Classes.
4. Do you provide a demo class?
Yes, I provide a free demo class.
5. 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 Class 12 Tuition
5
Board
State, International Baccalaureate, NIOS, ISC/ICSE, CBSE, IGCSE, AS/A levels
Preferred class strength
Group Classes, One on one/ Private Tutions
Experience in School or College
Saraswati vidhya mandir
Subjects taught
Mathematics, Information Technology, Computer Science, Business, Hindi, Business Studies, Statistics, Applied Mathematics
Taught in School or College
Yes
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in BA Tuition
3
Field tutored for
Mathematics
BA Mathematics Subjects
Numerical Methods, Calculus, Differential Equations, Number Theory, Linear Programming and Theory of Games, Group Theory, C++ Programming, Algebra, Partial Differential Equations, Computer Algebra Systems and Related Softwares, Complex Analysis, Probability Theory and Statistics, Applications of Algebra, Discrete Mathematics
Type of class
Crash Course, Regular Classes
Class strength catered to
Group Classes, One on one/ Private Tutions
Taught in School or College
Yes
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in BSc Tuition
3
BSc Computer Science Subjects
Information Security, Software Engineering, Artificial Intelligence, Operational Research, Calculus and Matrices, Data Structures, Calculus and Geometry, Real Analysis, Theory of Computations, Basic Statistics and Probability, Programming Fundamentals, Computer Systems Architecture, Network programming and Administration, Differential Equations, Data Mining
Type of class
Crash Course, Regular Classes
Class strength catered to
Group Classes, One on one/ Private Tutions
Taught in School or College
Yes
BSc Branch
BSc Mathematics, BSc Computer Science, BSc Statistics
BSc Statistics Subjects
Probability and Statistical Methods, Calculus, Operational Research, Computer Programming in C, Linear Models, Real Analysis, Applied Statistics, Numerical Analysis, Algebra
BSc Mathematics Subjects
Algebra, Number Theory, Differential Equations and Mathematical Modelling, Analysis, Numerical Methods and Programming, Calculus, Probability and Statistics
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Engineering Entrance Coaching classes
3
Engineering Entrance Exams
EAMCET, GATE Coaching Classes, IIT JEE Coaching Classes, Delhi CEE Coaching Classes
IITJEE Coaching
IIT JEE Crash Course, IIT JEE Mains Coaching, IIT JEE Integrated Coaching, IIT JEE Foundation Course
Type of class
Crash Course, Regular Classes
IIT-JEE Subjects
Maths
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in C Language Classes
3
Teaching Experience in detail in C Language Classes
Start with the basics: Begin by introducing the fundamental concepts of programming, such as data types, variables, operators, and control structures. Explain how these concepts relate to C language. Use examples: Provide examples that illustrate how C language works. Show students how to write simple programs that perform basic tasks such as displaying output, accepting input, and performing arithmetic operations. Emphasize syntax: C language has a very specific syntax that students need to learn. Spend time teaching them the correct syntax for statements, expressions, and control structures. Debugging: Debugging is an essential skill for any programmer. Teach students how to use debugging tools and techniques to find and fix errors in their code. Data structures: C language provides a variety of data structures such as arrays, linked lists, and stacks. Teach students how to use these data structures to efficiently store and manipulate data. Pointers: Pointers are one of the most challenging concepts in C language. Spend time teaching students how to use pointers to access and manipulate data. Projects: Encourage students to work on projects that apply the concepts they have learned. Provide guidance and feedback to help them complete their projects successfully. Resources: Provide students with additional resources such as books, online tutorials, and programming communities where they can continue to learn and develop their skills in C language. Overall, teaching C language requires patience, attention to detail, and a willingness to help students learn. By providing a solid foundation in the fundamentals, emphasizing syntax and debugging, and encouraging students to work on projects, you can help them become proficient in C language programming.
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Computer Classes
3
Type of Computer course taken
Training in Computer tools usage, Training in Software application usage, Basics of Computer usage
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Class 10 Tuition
3
Board
ICSE, International Baccalaureate, IGCSE, State, CBSE, NIOS
Preferred class strength
Group Classes, One on one/ Private Tutions
Subjects taught
Mathematics
Taught in School or College
Yes
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in C++ Language Classes
3
Proficiency level taught
Basic C++
Teaching Experience in detail in C++ Language Classes
Introduction: Start by introducing the basics of programming and C++ language. Discuss the history of the language, its key features, and how it is used today. Programming concepts: Discuss programming concepts such as data types, variables, operators, control structures, and functions. Explain how these concepts relate to C++ language. Object-Oriented Programming: Explain the concepts of Object-Oriented Programming (OOP) in C++ language, including classes, objects, encapsulation, inheritance, and polymorphism. Syntax: C++ has a specific syntax, and it is essential to teach the correct syntax for statements, expressions, and control structures. Standard Template Library: Teach students how to use the Standard Template Library (STL) in C++. STL provides a collection of classes and functions for various data structures and algorithms. Debugging: Debugging is an essential skill for any programmer. Teach students how to use debugging tools and techniques to find and fix errors in their code. Advanced topics: Teach advanced topics such as templates, exception handling, and operator overloading. Projects: Encourage students to work on projects that apply the concepts they have learned. Provide guidance and feedback to help them complete their projects successfully. Resources: Provide students with additional resources such as books, online tutorials, and programming communities where they can continue to learn and develop their skills in C++ language. Teaching C++ language requires patience, attention to detail, and a willingness to help students learn. By providing a solid foundation in the fundamentals, emphasizing syntax and debugging, and encouraging students to work on projects, you can help them become proficient in C++ language programming.
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
3
Data science techniques
Python, Artificial Intelligence, Machine learning
Teaching Experience in detail in Data Science Classes
Introduction: Start by introducing the basics of data science, including data types, data sources, and the data science workflow. Programming languages: Teach students programming languages commonly used in data science, such as Python and R. Data manipulation: Teach students how to manipulate and transform data using libraries such as Pandas in Python or dplyr in R. Data visualization: Teach students how to create effective visualizations of data using libraries such as Matplotlib in Python or ggplot2 in R. Statistical analysis: Teach students the fundamentals of statistical analysis, including probability, hypothesis testing, and regression analysis. Machine learning: Teach students the basics of machine learning, including supervised and unsupervised learning, feature engineering, model selection, and evaluation. Big data: Teach students how to work with big data using distributed computing frameworks such as Apache Hadoop and Spark. Ethics and bias: Discuss the ethical considerations involved in data science, including privacy, security, and algorithmic bias. Hands-on experience: Provide opportunities for students to work on real-world data science projects, including data cleaning, analysis, and visualization. Resources: Provide students with additional resources such as books, online tutorials, and data science communities where they can continue to learn and develop their skills in data science.
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