11 yrs of Exp 
14 students 
Perambur, Chennai Details verified of Dinesh✕
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Tutor's home Thank you for sharing your knowledge. The course content was informative and covered the essential topics in data science.practical examples helped me connect theory with real-world applications. One area for improvement is the pace of the sessions. At times, the explanations moved a little too quickly,Slowing down slightly would help us grasp the material better. It would also be helpful if there were more interaction with learners. Overall, the training was valuable.
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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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C
College of Engineering
Guindy, Chennai
S
SRM University
Potheri, Kattankulathur
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
11
Data science techniques
Machine learning, SAS, Artificial Intelligence, R Programming, Java, 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
Prediction Analytics, Stochastics Processes, Cluster Analysis, Survival Analysis, Regression Analysis, Time Series Analysis
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in BTech Tuition
11
BTech Computer Science subjects
Data Warehouse and Data Mining, Software Project Management, Machine Learning, Web Engineering, Database Management Systems, Object Oriented Programming & Systems, Cloud Computing, Social Network Analysis, Performance Modelling and Analysis, Data Structures and Algorithms, Information Security, Software Engineering and Architecture, Computer Graphics and Multimedia, Software Quality Assurance, Java Programming, Discrete Structures, Multimedia and Virtual Reality, Computer Architecture, Machine Intelligence, Big Data Analytics, Artificial Intelligence, Internet Technology and Applications, Design and Analysis of Algorithms, Compiler Design, Software Testing and Analysis, Natural Language Processing, Programming in C#, Network Processors, Computer Organization & Design, Number Theory and Cryptography
BTech Branch
BTech Information Science Engineering, BTech 1st Year Engineering, BTech Computer Science Engineering
BTech Information Science subjects
Big Data Analytics, Neural Network and Fuzzy Logic, Artificial Intelligence, Computer Vision, Software Project and Quality Management, Machine Learning, Database Systems, Software Engineering, Design and Development of Web Applications, Business Intelligence, Software Architecture, Data Warehousing and Data Mining, Data Structures and Algorithms, Design & Analysis of Algorithms, Object Oriented Programming
Experience in School or College
Institutes
Type of class
Regular Classes, Crash Course
Class strength catered to
One on one/ Private Tutions, Group Classes
Taught in School or College
Yes
BTech 1st Year subjects
Engineering Mathematics (M1), Computer science, Advanced Mathematics (M2)
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
Python, Tensorflow
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Python Training classes
11
Course Duration provided
6-12 months, 3-6 months, 1-3 months
Seeker background catered to
Individual, Educational Institution
Certification provided
No
Python applications taught
Regular Expressions with Python , Data Visualization with Python, Data Science with Python, PySpark, Automation with Python , Data Analysis with Python , Web Scraping with Python , Text Processing with Python, Testing with Python, GUI (Graphical User Interfaces) with Python , Help in assignment, Machine Learning with Python, Scipy Stack with Python , Web Development with Python , Data Extraction 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
Real Analysis, Basic Statistics and Probability, Statistical Methodology, Data Mining, Internet Technologies, Operational Research, Computer Systems Architecture, Theory of Computations, Data Structures, Operating Systems, Artificial Intelligence, Programming Fundamentals, Software Engineering, Differential Equations, Information Security, Software Testing
Experience in School or College
Institutes
Type of class
Regular Classes, Crash Course
BSc IT Subjects
Problem solving methodologies & programming in C, Foundation of information Technology, Foundation of mathematics & statistics, Advance and data structure
Class strength catered to
One on one/ Private Tutions, Group Classes
Taught in School or College
Yes
BSc Branch
BSc Statistics, BSc Mathematics, BSc IT, BSc Computer Science
BSc Statistics Subjects
Calculus, Probability and Statistical Methods, Stochastic Processes, Applied Statistics, Survey Sampling, Statistical Inference, Algebra, Real Analysis, Numerical Analysis, Computer Programming in C, Operational Research, Linear Models
BSc Mathematics Subjects
Probability and Statistics, Number Theory, Analysis, Algebra, Differential Equations and Mathematical Modelling, Calculus, 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
Social Science, Tamil, Mathematics, Physics, Computers, Computer Application, Information and Comunication Technology, Business Studies, Artificial Intelligence, Information Technology, Computer Science
Taught in School or College
Yes
4.8 out of 5 12 reviews
Anusharani
"Thank you for sharing your knowledge. The course content was informative and covered the essential topics in data science.practical examples helped me connect theory with real-world applications. One area for improvement is the pace of the sessions. At times, the explanations moved a little too quickly,Slowing down slightly would help us grasp the material better. It would also be helpful if there were more interaction with learners. Overall, the training was valuable. "
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. "
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
Machine learning, SAS, Artificial Intelligence, R Programming, Java, 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
Prediction Analytics, Stochastics Processes, Cluster Analysis, Survival Analysis, Regression Analysis, Time Series Analysis
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in BTech Tuition
11
BTech Computer Science subjects
Data Warehouse and Data Mining, Software Project Management, Machine Learning, Web Engineering, Database Management Systems, Object Oriented Programming & Systems, Cloud Computing, Social Network Analysis, Performance Modelling and Analysis, Data Structures and Algorithms, Information Security, Software Engineering and Architecture, Computer Graphics and Multimedia, Software Quality Assurance, Java Programming, Discrete Structures, Multimedia and Virtual Reality, Computer Architecture, Machine Intelligence, Big Data Analytics, Artificial Intelligence, Internet Technology and Applications, Design and Analysis of Algorithms, Compiler Design, Software Testing and Analysis, Natural Language Processing, Programming in C#, Network Processors, Computer Organization & Design, Number Theory and Cryptography
BTech Branch
BTech Information Science Engineering, BTech 1st Year Engineering, BTech Computer Science Engineering
BTech Information Science subjects
Big Data Analytics, Neural Network and Fuzzy Logic, Artificial Intelligence, Computer Vision, Software Project and Quality Management, Machine Learning, Database Systems, Software Engineering, Design and Development of Web Applications, Business Intelligence, Software Architecture, Data Warehousing and Data Mining, Data Structures and Algorithms, Design & Analysis of Algorithms, Object Oriented Programming
Experience in School or College
Institutes
Type of class
Regular Classes, Crash Course
Class strength catered to
One on one/ Private Tutions, Group Classes
Taught in School or College
Yes
BTech 1st Year subjects
Engineering Mathematics (M1), Computer science, Advanced Mathematics (M2)
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
Python, Tensorflow
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Python Training classes
11
Course Duration provided
6-12 months, 3-6 months, 1-3 months
Seeker background catered to
Individual, Educational Institution
Certification provided
No
Python applications taught
Regular Expressions with Python , Data Visualization with Python, Data Science with Python, PySpark, Automation with Python , Data Analysis with Python , Web Scraping with Python , Text Processing with Python, Testing with Python, GUI (Graphical User Interfaces) with Python , Help in assignment, Machine Learning with Python, Scipy Stack with Python , Web Development with Python , Data Extraction 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
Real Analysis, Basic Statistics and Probability, Statistical Methodology, Data Mining, Internet Technologies, Operational Research, Computer Systems Architecture, Theory of Computations, Data Structures, Operating Systems, Artificial Intelligence, Programming Fundamentals, Software Engineering, Differential Equations, Information Security, Software Testing
Experience in School or College
Institutes
Type of class
Regular Classes, Crash Course
BSc IT Subjects
Problem solving methodologies & programming in C, Foundation of information Technology, Foundation of mathematics & statistics, Advance and data structure
Class strength catered to
One on one/ Private Tutions, Group Classes
Taught in School or College
Yes
BSc Branch
BSc Statistics, BSc Mathematics, BSc IT, BSc Computer Science
BSc Statistics Subjects
Calculus, Probability and Statistical Methods, Stochastic Processes, Applied Statistics, Survey Sampling, Statistical Inference, Algebra, Real Analysis, Numerical Analysis, Computer Programming in C, Operational Research, Linear Models
BSc Mathematics Subjects
Probability and Statistics, Number Theory, Analysis, Algebra, Differential Equations and Mathematical Modelling, Calculus, 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
Social Science, Tamil, Mathematics, Physics, Computers, Computer Application, Information and Comunication Technology, Business Studies, Artificial Intelligence, Information Technology, Computer Science
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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