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What makes data science interesting to you?

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

Begin by sharing that you're passionate about data. You can also show your interest by explaining what drew you to the field. For example, you might mention that you enjoy problem-solving and statistical analysis, which led you to a career in data science.
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Online Mathematics tutor with 4 years experience(Online Classes for 10th to 12th)

In the ever-evolving field of Data Science, new advancements and discoveries in research accelerate rapidly. Thus, you always get to learn something new, making every day's work exciting.
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My teaching experience 12 years

In the ever-evolving field of Data Science, new advancements and discoveries in research accelerate rapidly. Thus, you always get to learn something new, making every day's work exciting.
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Related Questions

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 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 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
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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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
Ranjit

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DATA SCIENCE UNLEASHED Demo
DATA SCIENCE live demo recording This Demo addresses most of your basic questions about Data Science like What is Data Science ? What are the Pre requisites ? What all should I learn to call myself...
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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...

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...

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...

Outlier
Outliers* An Outlier is an observation point that is distant from other observations.* An outlier may indicate an experimental error, or it may be due to variability in the measurement. * Outliers are...

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