Perambur, Chennai 
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Tutor's home I had a very good learning experience with Dinesh Kumar sir during my Data Science training. His teaching methodology is beginner-friendly and he explains even complex concepts in a simple and understandable manner. The classes were well-structured, starting from basics and gradually moving towards advanced topics, which helped me build confidence in Data Science. One thing I appreciated the most was his patience in clearing doubts and ensuring every student understood the concept before moving forward. The practical approach, real-time examples, and hands-on projects made the sessions more interactive and helped me understand how concepts are applied in real-world scenarios. Dinesh sir is knowledgeable, supportive, and always encourages students to improve their skills. His guidance helped me strengthen my understanding of Python, Machine Learning, and core Data Science concepts. I would definitely recommend his classes to anyone who wants to learn Data Science from scratch and build a strong foundation.
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Tamil
Anna University 2014
Bachelor of Engineering (B.E.)
BITS Pilani 2022
Master of Business Administration (M.B.A.)
Coursera 2019
IBM Data Science Professional Certificate
International Software Test Institute 2019
Software Test Manager Accredited Certification
Perambur, Chennai, India - 600011
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S
SRM University
Potheri, Kattankulathur
C
College of Engineering
Guindy, Chennai
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
11
Data science techniques
SAS, R Programming, Java, Machine learning, Artificial Intelligence, Python
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Business Analytics Training classes
11
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Data Analysis Classes
11
Data analysis concepts taught
Stochastics Processes, Prediction Analytics, Time Series Analysis, Regression Analysis, Survival Analysis, Cluster Analysis
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in BTech Tuition
11
BTech Computer Science subjects
Object Oriented Programming & Systems, Data Warehouse and Data Mining, Cloud Computing, Internet Technology and Applications, Data Structures and Algorithms, Database Management Systems, Computer Architecture, Artificial Intelligence, Software Quality Assurance, Big Data Analytics, Machine Learning, Information Security, Machine Intelligence, Performance Modelling and Analysis, Discrete Structures, Computer Organization & Design, Software Engineering and Architecture, Software Testing and Analysis, Software Project Management, Web Engineering, Social Network Analysis, Programming in C#, Number Theory and Cryptography, Computer Graphics and Multimedia, Network Processors, Multimedia and Virtual Reality, Natural Language Processing, Compiler Design, Java Programming, Design and Analysis of Algorithms
BTech Branch
BTech Information Science Engineering, BTech Computer Science Engineering, BTech 1st Year Engineering
BTech Information Science subjects
Data Warehousing and Data Mining, Software Project and Quality Management, Business Intelligence, Neural Network and Fuzzy Logic, Object Oriented Programming, Big Data Analytics, Software Engineering, Database Systems, Data Structures and Algorithms, Artificial Intelligence, Design & Analysis of Algorithms, Machine Learning, Design and Development of Web Applications, Software Architecture, Computer Vision
Experience in School or College
Institutes
Type of class
Crash Course, Regular Classes
Class strength catered to
One on one/ Private Tutions, Group Classes
Taught in School or College
Yes
BTech 1st Year subjects
Engineering Mathematics (M1), Advanced Mathematics (M2), Computer science
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Tableau Training
4
Teaching Experience in detail in Tableau Training
Basic Tableau - 6000 Advanced Visual Analytics with Tableau - 8500
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Microsoft Power BI classes
11
Class Location
Online class via Zoom
I am Willing to Travel
Tutor's Home
Years of Experience in Deep Learning Training
11
Deep_Learning_Techniques
Tensorflow, Python
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Python Training classes
11
Course Duration provided
3-6 months, 6-12 months, 1-3 months
Seeker background catered to
Individual, Educational Institution
Certification provided
No
Python applications taught
Machine Learning with Python, Automation with Python , Regular Expressions with Python , Data Science with Python, Testing with Python, Data Visualization with Python, PySpark, Web Scraping with Python , Data Extraction with Python , Data Analysis with Python , Help in assignment, Scipy Stack with Python , GUI (Graphical User Interfaces) with Python , Text Processing with Python, Web Development with Python
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in BSc Tuition
11
BSc Computer Science Subjects
Data Structures, Software Engineering, Operating Systems, Real Analysis, Basic Statistics and Probability, Information Security, Theory of Computations, Software Testing, Operational Research, Internet Technologies, Data Mining, Artificial Intelligence, Computer Systems Architecture, Statistical Methodology, Differential Equations, Programming Fundamentals
Experience in School or College
Institutes
Type of class
Crash Course, Regular Classes
BSc IT Subjects
Advance and data structure, Problem solving methodologies & programming in C, Foundation of information Technology, Foundation of mathematics & statistics
Class strength catered to
One on one/ Private Tutions, Group Classes
Taught in School or College
Yes
BSc Branch
BSc IT, BSc Computer Science, BSc Statistics, BSc Mathematics
BSc Statistics Subjects
Real Analysis, Operational Research, Computer Programming in C, Calculus, Probability and Statistical Methods, Applied Statistics, Survey Sampling, Linear Models, Statistical Inference, Algebra, Stochastic Processes, Numerical Analysis
BSc Mathematics Subjects
Probability and Statistics, Number Theory, Calculus, Analysis, Differential Equations and Mathematical Modelling, Algebra, Discrete Mathematics, Numerical Methods and Programming
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Class 10 Tuition
11
Board
CBSE, State
Preferred class strength
One on one/ Private Tutions, Group Classes
Experience in School or College
private tuitions and instiatutes
Subjects taught
Computers, Physics, Tamil, Business Studies, Social Science, Computer Science, Computer Application, Information Technology, Information and Comunication Technology, Artificial Intelligence, Mathematics
Taught in School or College
Yes
4.8 out of 5 11 reviews
Varshini Suresh
"I had a very good learning experience with Dinesh Kumar sir during my Data Science training. His teaching methodology is beginner-friendly and he explains even complex concepts in a simple and understandable manner. The classes were well-structured, starting from basics and gradually moving towards advanced topics, which helped me build confidence in Data Science. One thing I appreciated the most was his patience in clearing doubts and ensuring every student understood the concept before moving forward. The practical approach, real-time examples, and hands-on projects made the sessions more interactive and helped me understand how concepts are applied in real-world scenarios. Dinesh sir is knowledgeable, supportive, and always encourages students to improve their skills. His guidance helped me strengthen my understanding of Python, Machine Learning, and core Data Science concepts. I would definitely recommend his classes to anyone who wants to learn Data Science from scratch and build a strong foundation. "
Lakshmanan
"My experience in Data Science has been highly practical and insightful. I gained hands-on exposure to data cleaning, data analysis, visualization, and basic machine learning using tools like Python, SQL, Excel, and Power BI. Working on real-world datasets helped me improve my problem-solving skills, understand data-driven decision-making, and build confidence in handling structured data. The experience strengthened my analytical thinking and gave me a strong foundation in data analytics and data science concepts. "
Giftson Pratap Singh
"Dinesh Kumar sir has been one of the most supportive mentors in my Data Science journey. His way of teaching makes difficult concepts easy to understand, and he always encourages students to learn by doing. The hands-on projects, real-world examples, and doubt-clearing sessions helped me gain practical knowledge and confidence. I especially appreciate his patience, dedication, and willingness to guide students whenever they need help. Thanks to his mentorship, I was able to strengthen my skills in Python, SQL, Power BI, and Data Science concepts. I would definitely recommend his classes to anyone serious about building a career in Data Science.Thank you for your continuous support and guidance throughout the learning journey. "
Nizam Muazam s h
"A proficient Power BI trainer is a master of data visualization, analysis, and reporting using Microsoft's Power BI platform. They possess in-depth knowledge of Power BI's functionalities, including data modeling, DAX calculations, and dashboard design. A skilled trainer effectively communicates complex concepts, tailoring sessions to various skill levels, from beginners to advanced users. They empower learners with hands-on exercises, real-world examples, and best practices, fostering a deep understanding of Power BI's capabilities. A great trainer not only imparts technical skills but also instills confidence, enabling individuals to harness data effectively for informed decision-making, driving organizational success. "
Have you attended any class with Dinesh?
Overview of Data Science & Analytics Modules Data Science and Analytics programs typically consist of structured modules that build foundational knowledge and practical skills in data handling,...
Answered on 08/01/2025 Learn IT Courses/Programming Languages/Python
Ask a Question
Post a Lesson
Here are the exact changes between Python 2.x and Python 3.x:
Print Statement:
Python 2.x: print "Hello, World!"
Python 3.x: print("Hello, World!")
Integer Division:
Python 2.x: 5 / 2 results in 2
Python 3.x: 5 / 2 results in 2.5
Unicode:
Python 2.x: u"Hello"
Python 3.x: "Hello"
xrange():
Python 2.x: xrange()
Python 3.x: range()
Error Handling:
Python 2.x: except Exception, e
Python 3.x: except Exception as e
Input Function:
Python 2.x: raw_input()
Python 3.x: input()
These are the key changes between Python 2.x and Python 3.x.
Like 0 
Answers 2 
Comments Answered on 08/01/2025 Learn IT Courses/Programming Languages/Python
Ask a Question
Post a Lesson
Like 0 Answers 3 Comments Answered on 08/01/2025 Learn IT Courses/Programming Languages/Python
Ask a Question
Post a Lesson
Python 3.6 and later versions have a more efficient implementation of dictionaries, which can lead to faster execution of code that relies heavily on dictionary operations. Additionally, Python 3.x has better support for asynchronous programming, which can improve the performance of I/O-bound applications.
Like 0 Answers 3 Comments Answered on 30/01/2024
Ask a Question
Post a Lesson
Black box testing is a technique of software testing which examines the functionality of software without peering into its internal structure or coding. The primary source of black box testing is a specification of requirements that is stated by the customer.
In this method, tester selects a function and gives input value to examine its functionality, and checks whether the function is giving expected output or not. If the function produces correct output, then it is passed in testing, otherwise failed. The test team reports the result to the development team and then tests the next function. After completing testing of all functions if there are severe problems, then it is given back to the development team for correction.
Like 0 Answers 1 Comments Answered on 23/03/2022
Ask a Question
Post a Lesson
Like 0 Answers 16 Comments Ask a Question
Also have a look at
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
11
Data science techniques
SAS, R Programming, Java, Machine learning, Artificial Intelligence, Python
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Business Analytics Training classes
11
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Data Analysis Classes
11
Data analysis concepts taught
Stochastics Processes, Prediction Analytics, Time Series Analysis, Regression Analysis, Survival Analysis, Cluster Analysis
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in BTech Tuition
11
BTech Computer Science subjects
Object Oriented Programming & Systems, Data Warehouse and Data Mining, Cloud Computing, Internet Technology and Applications, Data Structures and Algorithms, Database Management Systems, Computer Architecture, Artificial Intelligence, Software Quality Assurance, Big Data Analytics, Machine Learning, Information Security, Machine Intelligence, Performance Modelling and Analysis, Discrete Structures, Computer Organization & Design, Software Engineering and Architecture, Software Testing and Analysis, Software Project Management, Web Engineering, Social Network Analysis, Programming in C#, Number Theory and Cryptography, Computer Graphics and Multimedia, Network Processors, Multimedia and Virtual Reality, Natural Language Processing, Compiler Design, Java Programming, Design and Analysis of Algorithms
BTech Branch
BTech Information Science Engineering, BTech Computer Science Engineering, BTech 1st Year Engineering
BTech Information Science subjects
Data Warehousing and Data Mining, Software Project and Quality Management, Business Intelligence, Neural Network and Fuzzy Logic, Object Oriented Programming, Big Data Analytics, Software Engineering, Database Systems, Data Structures and Algorithms, Artificial Intelligence, Design & Analysis of Algorithms, Machine Learning, Design and Development of Web Applications, Software Architecture, Computer Vision
Experience in School or College
Institutes
Type of class
Crash Course, Regular Classes
Class strength catered to
One on one/ Private Tutions, Group Classes
Taught in School or College
Yes
BTech 1st Year subjects
Engineering Mathematics (M1), Advanced Mathematics (M2), Computer science
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Tableau Training
4
Teaching Experience in detail in Tableau Training
Basic Tableau - 6000 Advanced Visual Analytics with Tableau - 8500
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Microsoft Power BI classes
11
Class Location
Online class via Zoom
I am Willing to Travel
Tutor's Home
Years of Experience in Deep Learning Training
11
Deep_Learning_Techniques
Tensorflow, Python
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Python Training classes
11
Course Duration provided
3-6 months, 6-12 months, 1-3 months
Seeker background catered to
Individual, Educational Institution
Certification provided
No
Python applications taught
Machine Learning with Python, Automation with Python , Regular Expressions with Python , Data Science with Python, Testing with Python, Data Visualization with Python, PySpark, Web Scraping with Python , Data Extraction with Python , Data Analysis with Python , Help in assignment, Scipy Stack with Python , GUI (Graphical User Interfaces) with Python , Text Processing with Python, Web Development with Python
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in BSc Tuition
11
BSc Computer Science Subjects
Data Structures, Software Engineering, Operating Systems, Real Analysis, Basic Statistics and Probability, Information Security, Theory of Computations, Software Testing, Operational Research, Internet Technologies, Data Mining, Artificial Intelligence, Computer Systems Architecture, Statistical Methodology, Differential Equations, Programming Fundamentals
Experience in School or College
Institutes
Type of class
Crash Course, Regular Classes
BSc IT Subjects
Advance and data structure, Problem solving methodologies & programming in C, Foundation of information Technology, Foundation of mathematics & statistics
Class strength catered to
One on one/ Private Tutions, Group Classes
Taught in School or College
Yes
BSc Branch
BSc IT, BSc Computer Science, BSc Statistics, BSc Mathematics
BSc Statistics Subjects
Real Analysis, Operational Research, Computer Programming in C, Calculus, Probability and Statistical Methods, Applied Statistics, Survey Sampling, Linear Models, Statistical Inference, Algebra, Stochastic Processes, Numerical Analysis
BSc Mathematics Subjects
Probability and Statistics, Number Theory, Calculus, Analysis, Differential Equations and Mathematical Modelling, Algebra, Discrete Mathematics, Numerical Methods and Programming
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Class 10 Tuition
11
Board
CBSE, State
Preferred class strength
One on one/ Private Tutions, Group Classes
Experience in School or College
private tuitions and instiatutes
Subjects taught
Computers, Physics, Tamil, Business Studies, Social Science, Computer Science, Computer Application, Information Technology, Information and Comunication Technology, Artificial Intelligence, Mathematics
Taught in School or College
Yes
Answered on 08/01/2025 Learn IT Courses/Programming Languages/Python
Ask a Question
Post a Lesson
Here are the exact changes between Python 2.x and Python 3.x:
Print Statement:
Python 2.x: print "Hello, World!"
Python 3.x: print("Hello, World!")
Integer Division:
Python 2.x: 5 / 2 results in 2
Python 3.x: 5 / 2 results in 2.5
Unicode:
Python 2.x: u"Hello"
Python 3.x: "Hello"
xrange():
Python 2.x: xrange()
Python 3.x: range()
Error Handling:
Python 2.x: except Exception, e
Python 3.x: except Exception as e
Input Function:
Python 2.x: raw_input()
Python 3.x: input()
These are the key changes between Python 2.x and Python 3.x.
Like 0 Answers 2 Comments Answered on 08/01/2025 Learn IT Courses/Programming Languages/Python
Ask a Question
Post a Lesson
Like 0 Answers 3 Comments Answered on 08/01/2025 Learn IT Courses/Programming Languages/Python
Ask a Question
Post a Lesson
Python 3.6 and later versions have a more efficient implementation of dictionaries, which can lead to faster execution of code that relies heavily on dictionary operations. Additionally, Python 3.x has better support for asynchronous programming, which can improve the performance of I/O-bound applications.
Like 0 Answers 3 Comments Answered on 30/01/2024
Ask a Question
Post a Lesson
Black box testing is a technique of software testing which examines the functionality of software without peering into its internal structure or coding. The primary source of black box testing is a specification of requirements that is stated by the customer.
In this method, tester selects a function and gives input value to examine its functionality, and checks whether the function is giving expected output or not. If the function produces correct output, then it is passed in testing, otherwise failed. The test team reports the result to the development team and then tests the next function. After completing testing of all functions if there are severe problems, then it is given back to the development team for correction.
Like 0 Answers 1 Comments Answered on 23/03/2022
Ask a Question
Post a Lesson
Like 0 Answers 16 Comments Ask a Question
Overview of Data Science & Analytics Modules Data Science and Analytics programs typically consist of structured modules that build foundational knowledge and practical skills in data handling,...
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