Dinakar Nagar, Hyderabad, India - 500015
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Excellence Award Winner 2017
Data Science
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
15
Data science techniques
R Programming, Machine learning, Python, Artificial Intelligence
Teaching Experience in detail in Data Science Classes
I got your response from urbanpro regarding Data Science Using R and Python Programming. And, I completed B.Tech with MBA also Pursuing Ph.D in the field of Data Analytics and Business Intelligence in BITS Pilani,So far more than 1500 professionals trained and many colleges across India trained the students. Kindly, Share your email ID will send you the detailed course brochure. This course is designed for professionals who want to explore data analysis using R Programming and it includes Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression and Random Forest Regression and Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification and Random Forest Classification and then Clustering: K-Means and Hierarchical Clustering and then Association Rule Learning: Apriori Algorithm and Eclat and then Reinforcement Learning and then Natural Language Processing and Deep Learning: Artificial Neural Networks, Convolutional Neural Networks and Dimensionality Reduction: PCA, LDA, Kernel PCA. Moreover, the course is packed with practical exercises which are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models.
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Microsoft Power BI classes
10
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in SPSS Training Training
12
Tutor Of The Month Award Winner January 2016
For Data Analysis in Hyderabad
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Data Analysis Classes
12
Data analysis concepts taught
Cluster Analysis, Prediction Analytics, Regression Analysis, Time Series Analysis
Teaching Experience in detail in Data Analysis Classes
I am working as Lead Data Scientist in one of the IT MNC and completed B.Tech with MBA. Also, Completed Ph.d BITS, Pilani in the area of Data Analytics. I got response from Urban Pro regarding Data Science. Basis, Can you send me your email Id. Will send you the detailed course brochure for your reference.
Excellence Award Winner 2016
Business Analysis Training
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Business Analysis Training Classes
8
Teaching Experience in detail in Business Analysis Training Classes
Working as Senior Data Analyst in one of the IT MNC and completed B.Tech with MBA. Currently, Pursuing Ph.d in Data Analysis. I got response from Urban Pro regarding Data Science Using Training. And, we both had Urban Pro conversation. With reference to Urban Pro conversation with yourself, I came to know that yourself need the Data Science Using R course. I attached the detailed course content in this mail. Kindly, find the attachment. Also, Provided my UrbanPro profile link for your reference.
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in R Programming
12
Teaching Experience in detail in R Programming
This is Dinesh Babu R, I got your response from urbanpro regarding Data Science Using R Programming. And, I completed B.Tech with MBA also Pursuing Ph.D in the field of Data Analytics and Business Intelligence in BITS Pilani,So far more than 1500 professionals trained and many colleges across india trained the students. Kindly, Share your email ID will send you the detailed course brousure. This course is designed for professionals who want to explore data analysis using R Programming and it includes Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression and Random Forest Regression and Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification and Random Forest Classification and then Clustering: K-Means and Hierarchical Clustering and then Association Rule Learning: Apriori Algorithm and Eclat and then Reinforcement Learning and then Natural Language Processing and Deep Learning: Artificial Neural Networks, Convolutional Neural Networks and Dimensionality Reduction: PCA, LDA, Kernel PCA. Moreover, the course is packed with practical exercises which are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models.
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Tableau Training
12
Teaching Experience in detail in Tableau Training
This is Dinesh Babu R and working as Lead Data Scientist in one of the IT MNC and completed B.Tech with MBA. Also, Completed Ph.d BITS, Pilani in the area of Data Analytics. I got response from Urban Pro regarding Data Visualisation using Tableau. Basis, Can you send me your email Id. Will send you the detailed course brochure for your reference.
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Advanced Statistics Training
10
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Data Analytics classes
10
Teaching Experience in detail in Data Analytics classes
This is Dinesh Babu R, I got your response from urbanpro regarding Data Analytics Using R and Python Programming. And, I completed B.Tech with MBA also Pursuing Ph.D in the field of Data Analytics and Business Intelligence in BITS Pilani,So far more than 1500 professionals trained and many colleges across india trained the students. Kindly, Share your email ID will send you the detailed course brousure. This course is designed for professionals who want to explore data analysis using R Programming and it includes Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression and Random Forest Regression and Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification and Random Forest Classification and then Clustering: K-Means and Hierarchical Clustering and then Association Rule Learning: Apriori Algorithm and Eclat and then Reinforcement Learning and then Natural Language Processing and Deep Learning: Artificial Neural Networks, Convolutional Neural Networks and Dimensionality Reduction: PCA, LDA, Kernel PCA. Moreover, the course is packed with practical exercises which are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models.
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Business Analytics Training classes
12
Teaching Experience in detail in Business Analytics Training classes
This is Dinesh Babu R, I got your response from urbanpro regarding Business Analytics Using R and Python Programming. And, I completed B.Tech with MBA also Pursuing Ph.D in the field of Data Analytics and Business Intelligence in BITS Pilani,So far more than 1500 professionals trained and many colleges across india trained the students. Kindly, Share your email ID will send you the detailed course brousure. This course is designed for professionals who want to explore data analysis using R Programming and it includes Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression and Random Forest Regression and Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification and Random Forest Classification and then Clustering: K-Means and Hierarchical Clustering and then Association Rule Learning: Apriori Algorithm and Eclat and then Reinforcement Learning and then Natural Language Processing and Deep Learning: Artificial Neural Networks, Convolutional Neural Networks and Dimensionality Reduction: PCA, LDA, Kernel PCA. Moreover, the course is packed with practical exercises which are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models.
4.8 out of 5 224 reviews
Chaya
"Clarity in the topics covered is really appreciated, good hold on the subject which was very well shown in instant clarification of doubts with practical examples. Learning was more than my expectation, my sincere thanks to you sir. "
Santhoshkumar
Data Analysis Using SPSS and R
"The course was very useful for my profession. His teaching techniques is really like everyone can easy to understand the concepts even without having any basic knowledge. "
Raga Malika
Data Analysis Using SPSS and R
"I finished my data analysis using SPSS and R training. He is an excellent and very knowledgeable teacher. Explains every concept very clearly with depth. He has a lot of patience and answers all the questions of the students. Taking this course has not only increased my confidence in data science, it also increased my interest to understand better and challenge myself. Thank you Dinesh sir, because of you I am able to understand the content well and apply them to the provided material. In my experience, this course was well worth my time and I would highly recommend Mr.Dinesh to other students. "
Dipti
Data Analysis Using SPSS and R
"The course content was good for beginners in Data Analysis. Explanation and clarification was good. We also did one Project which helped me understand the concept. It would be really nice if we can get couple more projects to work. Also getting the notes and recording just after the session helps students to review before next session. Overall it was a positive experience. "
Aniket Sarfare
"First, I want to thank Dinesh to take me through one of the fine trainings I have attended. The Skype / webinar training experience was delightful indeed. I do admit that I was little skeptical in the beginning. At times, it may be difficult to understand concepts when you don't have trainer's physical presence. Dinesh not only made the sessions interactive and interesting, he also ensured that we"learn" every concept he taught and not mere attending the sessions. Dinesh is very strong in the statistical concepts, R-techniques and he doesn't hesitate to answer our all queries in detail. He also revise the entire learning of the session while concluding for the day. His passion to train, command on concepts, training skills and his interpersonal skills are admirable. I will surely recommend Dinesh's name to all who wants to learn data analysis/ data science. "
Aravind Ravichandran
"Good Time Management. Structured Curriculum Design. Very friendly Approach. Good Value for Money. Can recommend him to my fellow circle for training for his quality output. "
Jai kumar
"A perfect trainer for candidates without statistics background. Dinesh starts his sessions punctual, conducts with moderate pace & explains in simple language with easy samples & real time projects. "
KESAVA RAM SINGH MURALIDHARAN
"Well knowledge in Data Science. Having good experience in delivering the knowledge. Awesome. Overall good person."
Srivatsan
"He is an excellent trainer possessing good domain knowledge and making the entire class understand the concept with good intent. I would surely recommend him as one of the best trainers who I have ever attended the classes. "
Prathap
"He is one of the best faculty I have come across so far. He is very polite and the way he explains is like spoon feeding. He is very strong in Statistical concepts, R-techniques, Test etc. and he doesn't hesitate to answer all our questions, he explains everything in detail. The best I like about him is, concluding the session. He will revise orally once and then he will write on a notepad on whatever he taught on that day. "
Sateesh Yavarna
"The Best tutor for the Data science with R. Very good explanation of statistics with R. Machine learning was explained very well. "
Ashik Cariappa
"Good grasp of the subjects. Has a good set of materials. Flexible timeline. Starts with the basics which also contains good examples. "
Kamil
"I could say he is very clear about the curriculum and what actually things need for handling the role. He is on the point and his teaching technique is very clear. His study material was really good and a well being man over all a good trainer. Thank you. "
SANJAY KUMAR BAGDI
"He is simply superb teacher. Very hard working. He present the content in such a manner which are easy to understand even the complex topics. Besides his method of teaching pattern or sequence of topics is much appreciable. I would rate him a superb. Wish him all the best in future. "
Ridhi
"Dinesh is a very good and patient instructor. These classes do not require prior knowledge of data science. It has a very understandable take on complicated concepts and algorithms. It includes projects as well. Instructor has good time management, and clear idea of curriculum. He is friendly and is available to clear any questions regarding the subject. "
Answered on 01/08/2021 Learn IT Courses/Tableau
Answered on 10/05/2019 Learn IT Courses/Tableau
Answered on 10/05/2019 Learn IT Courses/Tableau
In Tableau, we can create the panel and make the information representation easily.
Dashboards can serve many purposes such as:
Help management define what is important.
Educate people in the organisation about the things that matter.
Set goals and expectations for specific individuals or groups.
Help executives sleep at night because they know what's going on.
Answered on 10/05/2019 Learn IT Courses/Tableau
In Tableau, we can create them, and the three broad goals of creating a dashboard are:
Part 1: Foundation
Part 2: Structure
Part 3: Information Design
Part 1:
Foundation.
The foundation helps you identify your target audience, understand what type of dashboard you want to create, and why it is valuable to your organisation.
It concludes guidance regarding how to focus your message on the information and metrics that matter.
Part 2:
Structure helps you start on designing your dashboard, including what form it should take, how to plan for audience understanding, and what navigation, interactions, and capabilities will make your dashboard useful and engaging. Finally,
Part 3:
Information Design dives into the details of interface and information design. You will learn how to lay out your dashboard and best practices for charting and data presentation.
Answered on 10/05/2019 Learn IT Courses/Tableau
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