Data Analysis Using SPSS and R

8 Reviews

Medavakkam, Chennai

Course ID: 44163

Medavakkam, Chennai

Students Interested 0 (Seats Left 0)

8 Reviews

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Dinesh Babu picture
Dinesh Babu

B.TECH, MBA,PH.D

4 Years of Experience

About Dinesh Babu

I have Completed B.Tech and MBA from ICFAI Business School (IBS), Hyderabad and completed Ph.D. in the field of Data Analytics in University of Madras. I am working for Capgemini as Senior Data Analyst, also worked for iGate Global solution as Consultant in Analytics division. As a part-time, am providing Machine Learning using Python, Data Science using R, Data Analysis, and Advanced Statistics Training to Indian and overseas students over past 8 years. I am CBAP certified professional.
As teaching pedagogy, approach is a case study oriented, wherein every session will have a case study assignment that the participant has to implement practically. Beyond theoretical knowledge, learning methodology heavily focus on use of examples, case studies and project work leads to acquire in-depth exposure in every facet of syllabus. I will share the entire training material along with the licenced material of CBAP certification. The class is more of Practical oriented session and interactive. Also, I will share the live project along with the training session. So, that participant won't have any skill gap after attended the training program.
B

Bharati S Tubachi

Attended Data Analysis Using SPSS and R

Course curriculum is helpful and based on current industry need. All the chapters covered in stipulated time on Skype online classes as per our free timings. Coach was friendly and sessions were informative, all the quiries were answered. Hands on calculations and Project were explained in detail. Course material is provided and calculations also provided. Totally I found the course as value for money. Thanks

I

Israr

Attended Data Analysis Using SPSS and R

He really has a massive knowledge and best part he always gives you live example and it's own simple definition for each topic he covers. Would like to extend our gratitude and thank to all of you for your help & support till date. I really had a great session on DS which really has facilitated me to assemble a great knowledge.

K

Kaushik Sarkhel

Attended Data Analysis Using SPSS and R

My experience is good. Well designed course. Flexible timing that helps mostly the working people who are willing to do this course.

K

Kamesh Gupta

Attended Data Analysis Using SPSS and R

Dr. Dinesh has a profound knowledge of data sciences and data analytics. Despite being a PhD in the field, he comes forward as a humble teacher who is there to answer all your questions. He has a rigorous teaching curriculum complete with ppt presentations that you can study at your own time.

T

Tabasum Begum

Attended Data Analysis Using SPSS and R

Response for analysis was rapid. Produce good results and write ups for the project work . Helped online in explaining the analysis which was done.

S

Santhoshkumar

Attended 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.

R

Raga Malika

Attended 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.

D

Dipti

Attended 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.

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About the Course

 



  • Learn Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression and Random Forest Regression

  • Learn Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification and Random Forest Classification

  • Learn Clustering: K-Means and Hierarchical Clustering

  • Learn Association Rule Learning: Apriori Algorithm and Eclat

  • Learn Reinforcement Learning: Upper Confidence Bound, Thompson Sampling

  • Learn Natural Language Processing: Bag-of-words model and algorithms for NLP

  • Learn Deep Learning: Artificial Neural Networks, Convolutional Neural Networks

  • Learn Dimensionality Reduction: PCA, LDA, Kernel PCA

  • Learn Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost

  • 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.

  • This course also includes both Python and R code templates which you can download and use on your own projects.

  • Master the concepts of Supervised and Unsupervised Learning

  • Gain practical mastery over principles, algorithms, and applications of machine learning through a hands

  • on approach which includes working on 28 case studies and one capstone project.

  • Acquire thorough knowledge of the mathematical and heuristic aspects of machine learning.

  • Understand the concepts and operation of Support vector machines, Kernel SVM, Naive bayes, Decision tree classifier, Random forest classifier, Logistic regression, K

  • nearest neighbors, K

  • means clustering and more.

  • Comprehend the theoretical concepts and how they relate to the practical aspects of machine learning.

  • Be able to model a wide variety of robust machine learning algorithms including deep learning, clustering, and recommendation systems

  • Examine and learn data manipulaton with R and Python functions also Learn the fundamentals of R and Python programming.

  • Apply data visualization to make fancy plots also predictive Analytics to predict outcomes in R and Python.


 

Reviews (8) See all Reviews

B

Bharati S Tubachi

Attended Data Analysis Using SPSS and R

Course curriculum is helpful and based on current industry need. All the chapters covered in stipulated...

I

Israr

Attended Data Analysis Using SPSS and R

He really has a massive knowledge and best part he always gives you live example and it's own simple...

K

Kaushik Sarkhel

Attended Data Analysis Using SPSS and R

My experience is good. Well designed course. Flexible timing that helps mostly the working people who...

K

Kamesh Gupta

Attended Data Analysis Using SPSS and R

Dr. Dinesh has a profound knowledge of data sciences and data analytics. Despite being a PhD in the field,...

T

Tabasum Begum

Attended Data Analysis Using SPSS and R

Response for analysis was rapid. Produce good results and write ups for the project work . Helped online...

S

Santhoshkumar

Attended Data Analysis Using SPSS and R

The course was very useful for my profession. His teaching techniques is really like everyone can easy...

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Students Interested 0 (Seats Left 0)

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