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How can I design my roadmap to study Data Science?

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Teach like professional you can handle situations in Work / interview

Staticstics -> Data Models -> Machine Learning -> Data Science
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Unlock Your Future with Bangalore's Best: Certified Data Science Expertise!

You need a Good teacher and good plan to chisel your self in Data scienece, check out my profile.
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IT Professional Trainer with 2 years of experience .

Basics of Data Structure and Algorithm. SQL. MongoDB. Linux. Git. Distributed Computing.
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Related Questions

What is difference between data science and SAP. Which is best in compare for getting jobs as fast as possible

Hi Both have different uniquness with importance value. you will get a good prospectives on SAP for career growth.
Ravindra
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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5

How to learn 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,...
Hdhd
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6
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.
Narasimha,What i think is programming is not only related to language but moreover its a logic. If have better understanding and clear conpect that what you want to buil and how you built then you can...
Narasimha

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Related Lessons

Tuning Parameters Of Decision Tree Models
Implementations of the decision tree algorithm usually provide a collection of parameters for tuning how the tree is built. The defaults in Rattle often provide a basically good tree. They are certainly...

What is Dummy Regression?
What is a Dummy variable? A Dummy variable or Indicator Variable is an artificial variable created to represent an attribute with two or more distinct categories/levels. Basically the binary variables...

Types of Data
The data, which is under our primary consideration, contains a series of observations and measurements, made various subjects, patients, objects or other entities of interest. They might comprise the results...

Decision Tree or Linear Model For Solving A Business Problem
When do we use linear models and when do we use tree based classification models? This is common question often been asked in data science job interview. Here are some points to remember: We can use any...

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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