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Is an analytics manager a sensible next step in the career ladder for a data scientist?

Asked by Vikas 20/08/2018 Last Modified 06/09/2018

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I want to learn data science in home itself bcz i dont want much time to take any coaching and also most of the institutes are asking high amount for training. Pease lemme know how i can prepare myself.

First of all you start leaning following. 1.Database(Sql,Nosql) 2 Python,Pandas,Numpy 3 Basic Linux,Big Data(Hadoop,Scala,Spark) 4. Machine Learning 5. Deep Learning

Vishal

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Hi, currently I am working as associate systems engineer. But I am really interested in data science. How can I become a data scientist. Please suggest me a path.

Let me comprehend based on my 20 years of working experience. You need to know few things to become a data scientist. 1) Statistics and Mathematics : It is like a doctor having good understanding of...

Vamsi

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which is the best college or institute for Data analysis course certificate with Fresher placement support in pune?

Priya

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What background is required for data science?

Data science includes AI ,MachineLearning ,Satictics, presentation technique and deployment tools . DS helps to predict the future trends, what measures can be taken. Anyone with python programming, Statistics and presentation skill.

Shivani

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I'm looking for a freelance data science trainer to get the training as most of the institutions are expensive, and they don't allow monthly instalments. I'm looking for a trainer who accepts the fees in monthly instalments because I'm an entry-level working professional and I can only afford to pay a part of the full fees from my monthly salary.

Hi, I will support based on your requirments.

Mahesh

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Multiple regressions are an extension of simple linear regression. It is used when we want to predict the value of a continuous variable based on the value of two or more other independent or predictor...

Ashish R.

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Mathematics used in various Machine learning concepts

Mathematics is the building block for data science. This blog focuses on various mathematical concepts that are used in machine learning. The mathematical concepts used for machine learning are categorized...

Akash L kulkarni

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Principal component analysis- A dimension reduction technique

In simple words, principal component analysis(PCA) is a method of extracting important variables (in form of components) from a large set of variables . It extracts low dimensional set of features from...

Ashish R.

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What are Kalman filters? Why they are popular in AI?

Imagine we are making a self-driving car and we are trying to localize its position in an environment. The sensors of the vehicle can detect cars, pedestrians, and cyclists. Knowing the location of these...

Tasneem

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What Is Cart?

CART means classification and regression tree. It is a non-parametric approach for developing a predictive model. What is meant by non-parametric is that in implementing this methodology, we do not have...

Ashish R.

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