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Elevating Understanding, One Equation at a Time: Your Path to Mathematical Mastery Begins Here

Data science is the study of data to extract meaningful insights for business. It is a multidisciplinary approach that combines principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering to analyze large amounts of data.
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Online Mathematics tutor with 4 years experience(Online Classes for 10th to 12th)

Data science is the study of data to extract meaningful insights for business. It is a multidisciplinary approach that combines principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering to analyze large amounts of data.
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My teaching experience 12 years

Data science is the study of data to extract meaningful insights for business. It is a multidisciplinary approach that combines principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering to analyze large amounts of data.
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Related Questions

Which are the best course, big data or data science, for beginners with a non-tech background?
A good question! For the non-technical person, I would recommend learning python by heart. After you know python, then you can decide because every latest technology is using python only. Happy learning! Ps:...
Priya

Currently I am working as a tester now, and looking to get trained in Data scientist.

Will that be a good decision, if I change my stream and move to data scientist field ?

Yes, I used to work in software testing in 2014. After, my master's from IIT Guwahati, now I am working as a research engineer in Machine learning domain. Data Science is a beautiful field. It involves...
Venkata
What are the topics covered in Data Science?
Data science includes: 1. **Statistics**: Basics of analyzing data.2. **Programming**: Using languages like Python or R.3. **Data Wrangling**: Cleaning and organizing data.4. **Data Visualization**: Making...
Damanpreet
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Related Lessons

Discrimination, classification and pattern recognition
The importance of classification in science has already been remarked upon inChapter 6, where techniques were described for examining multivariate data forthe presence of relatively distinct groups or...

What is Logistic Regression Model ?
Logistic regression is a form of regression which is used when the dependent is a dichotomy (yes or no) and the independents of any type (either continuous or binary). Logistic regression can be used...

Linear Regression and its types
Linear Regression A Linear regression is a Regression Analysis technique which is used for modeling the predictions on the continuous data. A Linear Regression can be modelled using 1. A Simple Regression...

What Is R?
R is fast catching up as a must-know language because of the popularity of Data Science skill. R is a computer programming language which is particularly well suited to handling and sorting the large datasets...

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Lesson: Hive Queries This lesson will cover the following topics: Simple selects ? selecting columns Simple selects – selecting rows Creating new columns Hive Functions In SQL, of which...
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