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Aritra Kumar Sinha Data Science trainer in Gurgaon

Aritra Kumar Sinha

Sector 56, Gurgaon, India - 122011.

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Overview

I want to share with you an opportunity to start a journey together towards the realisation of your data science goals. Having spent more than ten years in the industry, I have worked across multiple business problems that need an analytical thought process, Predictive Modeling and analytical solutions. It would be great to collaborate over topics of interest in analytics and data science. I'd encourage you to reach out to me for the same. I will help understand right from the basics and gradually build your thought process for you to enhance your performance.
You could be a student wanting to start learning data science, or you could be professional looking for a mentor - I can be the partner you always wanted to learn from.

Languages Spoken

English Proficient

Education

University of Delhi 2008

Master of Science (M.Sc.)

Address

Sector 56, Gurgaon, India - 122011

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Teaches

Data Science Classes

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in Data Science Classes

10

Data science techniques

SAS, Python, R Programming, Machine learning

Reviews

No Reviews yet! Be the first one to Review

FAQs

1. Which classes do you teach?

I teach Data Science Class.

2. Do you provide a demo class?

Yes, I provide a free demo class.

3. How many years of experience do you have?

I have been teaching for 10 years.

Answers by Aritra Kumar Sinha (1)

Answered on 12/12/2018 Learn IT Courses/Data Science

Hi, First of all thanks for the question. Data Science as a subject has multiple layers. A great way to get started would be to brush up basic statistical concepts. Fundamental concepts of probability, distributions and Hypothesis Testing can get you started working on certain Data Science problems.... ...more

Hi,

First of all thanks for the question. Data Science as a subject has multiple layers. A great way to get started would be to brush up basic statistical concepts. Fundamental concepts of probability, distributions and Hypothesis Testing can get you started working on certain Data Science  problems. For example, if a marketing campaign has taken place during Diwali and some customers are given some offers , what is the best way to measure the impact of the campaign? How can we say that the impact was statistically significant ? 

Problems of supervised and unsupervised learning however requires deeper understanding. Multiple online available sources can help you get clarity on concepts. The key thing is to know what topics to search for. Here is a starting  list of topics you would want to research on with regards to unsupervised learning

   Principal Component and Factor         Analysis

   Cluster Analysis

    Conjoint Analysis

    Multi Dimensional Scaling

Topics on Supervised Learning could be and not limited to 

   Regression (OLS and GLM) 

   Non Parametric methods such as

      Decision Trees

      Random Forest

       SVM

       Boosting Techniques

Once you get the gist of the concepts on these topics , it will be much easier for you to grasp the discussions in any training program if you join one. In terms of programming Python is agreat platform .A few years ago, SAS was almost always important but things have changed now. SkLearn offers great set of packages in Python to play with. I'd encourage you to try and apply algorithmic approaches to create your own functions in Python. In conclusion, in my experience Data Science has been a journey and not a cluster of skills. Over time it will become a part of your thought process and will guide you every step of the way. Keep learning and keep practicing. 

If you need to discuss anything further - reach out to me.

Aritra

 

Answers 8 Comments
Dislike Bookmark

Teaches

Data Science Classes

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in Data Science Classes

10

Data science techniques

SAS, Python, R Programming, Machine learning

No Reviews yet! Be the first one to Review

Answers by Aritra Kumar Sinha (1)

Answered on 12/12/2018 Learn IT Courses/Data Science

Hi, First of all thanks for the question. Data Science as a subject has multiple layers. A great way to get started would be to brush up basic statistical concepts. Fundamental concepts of probability, distributions and Hypothesis Testing can get you started working on certain Data Science problems.... ...more

Hi,

First of all thanks for the question. Data Science as a subject has multiple layers. A great way to get started would be to brush up basic statistical concepts. Fundamental concepts of probability, distributions and Hypothesis Testing can get you started working on certain Data Science  problems. For example, if a marketing campaign has taken place during Diwali and some customers are given some offers , what is the best way to measure the impact of the campaign? How can we say that the impact was statistically significant ? 

Problems of supervised and unsupervised learning however requires deeper understanding. Multiple online available sources can help you get clarity on concepts. The key thing is to know what topics to search for. Here is a starting  list of topics you would want to research on with regards to unsupervised learning

   Principal Component and Factor         Analysis

   Cluster Analysis

    Conjoint Analysis

    Multi Dimensional Scaling

Topics on Supervised Learning could be and not limited to 

   Regression (OLS and GLM) 

   Non Parametric methods such as

      Decision Trees

      Random Forest

       SVM

       Boosting Techniques

Once you get the gist of the concepts on these topics , it will be much easier for you to grasp the discussions in any training program if you join one. In terms of programming Python is agreat platform .A few years ago, SAS was almost always important but things have changed now. SkLearn offers great set of packages in Python to play with. I'd encourage you to try and apply algorithmic approaches to create your own functions in Python. In conclusion, in my experience Data Science has been a journey and not a cluster of skills. Over time it will become a part of your thought process and will guide you every step of the way. Keep learning and keep practicing. 

If you need to discuss anything further - reach out to me.

Aritra

 

Answers 8 Comments
Dislike Bookmark

Aritra Kumar Sinha conducts classes in Data Science. Aritra is located in Sector 56, Gurgaon. Aritra takes Online Classes- via online medium. He has 10 years of teaching experience . Aritra has completed Master of Science (M.Sc.) from University of Delhi in 2008. He is well versed in English.

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