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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 have been in the teaching field for 4+ years working as an assistant professor now I need to get into a software field. Basically, I doesn't know much about programming. I need suggestions on which field it would be good.

Hello Narasimha, Nice to hear that you served for 4.5yrs as asst professor and teaching is one of the best jobs you can do. To pursue the career in the software field, It must to have a programming background,...

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What background is required for data science?

Data scientists typically need at least a bachelor's degree in computer science, data science, or a related field. However, many employers in this field prefer a master's degree in data science or a related...

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I have 2+ yrs working experience in BI domain. Can I pursue Data science for a job change? Will I get Job opportunity as per my experience or not in field of data science? R or python what to chose?

Hi Asish you can choose R or Python selecting programming tools is not criteria learning Deep Analytics is most important you should focus on Mathematicsfor (classification algorithms) statistics(EDA...

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Digital Marketing vs Data Science: Which has a more fruitful career?

After Covid, the below-mentioned jobs below would have more demand in the future. Digital Marketing Website Development Copy Writing & Content Writing Social Media Marketing Graphics Designing Video Editing Blogging Translation

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What are Newton's laws?

Newton's First Law states that an object will remain at rest or in uniform motion in a straight line unless acted upon by an external force. It may be seen as a statement about inertia, that objects will...

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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...

Harani M.

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4 Key Things to Learn for Data Science

1. Theory:Use Coursera and EdX for theory, concepts, and applications of probability, statistics, linear algebra, calculus, and machine learning.2. Data Visualisation:Tableau and PowerBI are easy-to-use...

Kavaiya Yashumar Amrutlal

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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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Practical use of Linear Regression Model in Data Science

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...

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Regularisation in Machine Learning

Regularization In Machine Learning, Regularization is the concept of shrinking or regularizing the coefficients towards zero. It helps the model to prevent overfitting. Overfitting in Machine Learning...

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