11 yrs of Exp 
14 students 
Perambur, Chennai Details verified of Dinesh✕
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Education
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Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
11
Data science techniques
Java, Artificial Intelligence, Python, R Programming, SAS, Machine learning
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
Cluster Analysis, Stochastics Processes, Survival Analysis, Prediction Analytics, Time Series Analysis, Regression Analysis
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in BTech Tuition
11
BTech Computer Science subjects
Java Programming, Software Project Management, Artificial Intelligence, Computer Architecture, Natural Language Processing, Compiler Design, Number Theory and Cryptography, Data Warehouse and Data Mining, Network Processors, Software Testing and Analysis, Programming in C#, Discrete Structures, Internet Technology and Applications, Database Management Systems, Cloud Computing, Computer Graphics and Multimedia, Design and Analysis of Algorithms, Web Engineering, Performance Modelling and Analysis, Object Oriented Programming & Systems, Social Network Analysis, Software Engineering and Architecture, Data Structures and Algorithms, Machine Intelligence, Software Quality Assurance, Machine Learning, Multimedia and Virtual Reality, Computer Organization & Design, Information Security, Big Data Analytics
BTech Branch
BTech 1st Year Engineering, BTech Information Science Engineering, BTech Computer Science Engineering
BTech Information Science subjects
Software Architecture, Computer Vision, Data Structures and Algorithms, Object Oriented Programming, Design & Analysis of Algorithms, Data Warehousing and Data Mining, Machine Learning, Artificial Intelligence, Software Engineering, Software Project and Quality Management, Design and Development of Web Applications, Neural Network and Fuzzy Logic, Database Systems, Big Data Analytics, Business Intelligence
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
Advanced Mathematics (M2), Engineering Mathematics (M1), 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
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
Educational Institution, Individual
Certification provided
No
Python applications taught
Automation with Python , Machine Learning with Python, Testing with Python, PySpark, Web Development with Python , Web Scraping with Python , Text Processing with Python, Data Visualization with Python, Regular Expressions with Python , Data Science with Python, Help in assignment, Data Analysis with Python , GUI (Graphical User Interfaces) with Python , Data Extraction with Python , Scipy Stack 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
Differential Equations, Operational Research, Programming Fundamentals, Real Analysis, Statistical Methodology, Data Mining, Artificial Intelligence, Operating Systems, Basic Statistics and Probability, Information Security, Software Testing, Software Engineering, Theory of Computations, Internet Technologies, Data Structures, Computer Systems Architecture
Experience in School or College
Institutes
Type of class
Crash Course, Regular Classes
BSc IT Subjects
Foundation of information Technology, Advance and data structure, Problem solving methodologies & programming in C, Foundation of mathematics & statistics
Class strength catered to
One on one/ Private Tutions, Group Classes
Taught in School or College
Yes
BSc Branch
BSc Mathematics, BSc Computer Science, BSc Statistics, BSc IT
BSc Statistics Subjects
Statistical Inference, Calculus, Survey Sampling, Computer Programming in C, Stochastic Processes, Applied Statistics, Linear Models, Algebra, Probability and Statistical Methods, Numerical Analysis, Operational Research, Real Analysis
BSc Mathematics Subjects
Analysis, Number Theory, Discrete Mathematics, Probability and Statistics, Algebra, Calculus, Differential Equations and Mathematical Modelling, 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
Business Studies, Computer Science, Information and Comunication Technology, Mathematics, Physics, Information Technology, Social Science, Tamil, Computers, Artificial Intelligence, Computer Application
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. "
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. "
Wasim Mukarram s h
"The Power BI instructor demonstrates profound expertise, simplifying complex concepts with clarity and enthusiasm. Their interactive teaching style encourages active participation, ensuring comprehension and skill development. Patient and approachable, they offer tailored guidance, empowering students to harness Power BI's capabilities effectively. A truly invaluable resource for aspiring data analysts. "
Syed Anvar
"He is a good person, he is working since 10 years in IT, well knowledge person in python language good carcater. "
Silambarasan
Deep Learning Deep_Learning_Techniques:Python,Tensorflow
"I'm one of the student in Dinesh class, He has explained the topics clearly with the scenarios. He has provided more tips and tricks for the carrier related topics as well. "
Srisowmiya Saravanakumar
"I'm incredibly grateful for my data analytics course with my trainer Dineshkumar. From a non-IT background to understanding coding, the journey was seamless. The trainer's expertise and teaching style made complex concepts accessible. Great teaching! "
Ranjan Siddharth
Data Science
"Best mentor and teacher in the field with good amount of experience and knowledge in the field. Clears the doubt and explain to the students in a understandable manner. "
K Sundaravel
"Nice learning . Gained knowledge in programming language. In python and to work with django project. "
Shamil Dawood
Data Science
"I had a great experience. You are very friendly with student. You make a comfortable zone to student to ask there doubts. Your way of teaching is very nice and understood easily. "
Have you attended any class with Dinesh?
Answered on 08/01/2025 Learn IT Courses/Programming Languages/Python
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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 
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Comments Answered on 08/01/2025 Learn IT Courses/Programming Languages/Python
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Like 0 Answers 3 Comments Answered on 08/01/2025 Learn IT Courses/Programming Languages/Python
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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
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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 Learn IT Courses
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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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