What is the importance of statistics to a teacher?

I am not a teacher. Despite that fact, I think I can contribute to this question because of things teachers have said.There are many college teachers that will consider the mean and standard deviation of grades on a test when making decisions

Why are we using R and Python for statistical analysis?

You are free to use any programming language for statistical analysis. But the advantage with R and Python is that you have tons of built-in libraries that allow you to focus on your analysis and write minimal code. Computing statistical values, plotting the graphs is quite easy.

What's one thing new data scientists always get wrong?

They believe anything can be solved with neural networks. Its like killing a fly with an axe.

How should I study R for data analysis?

If you love books: The R book is a good choice. It freely available online.     R Programming Tutorial will tell  you more about the programming concepts. Try R will give you a chance to practice

What are good graduate programs in statistics, computer science, or data science for learning data science?

For the Starters I would recommend the DataScience course Introduction to Data ScienceFurthermore you should also take a look at core concepts in DataAnalysis https://class.coursera.org/datan...And also you should learn R or

What statistics should a data scientist know?

I recently wrote a post called

What is the future of data science?

Debunking the myth of the data science bubbleWe've all read articles indicating the looming decline of data science. Some coined the term ‘data science bubble,' some even went so far as set a date for the ‘death of data-science' (they give it five years before the bubble implodes). This reached a point where anyone

What are the differences between data science and decision science?

At LinkedIn, there was a Decision Science team focused on analytics and modeling to support A/B testing, tracking, business intelligence, adhoc product manager requests, etc. The Product Data Science team was more engineering oriented, primarily focused on shipping production data products

Being a student of B.Sc Statistics, what are the available options I can go for in the same field except M.Sc Statistics. Which will be better in Data Science, AI or ML?

There are n numbers of options available as a statistics graduate.Coming to the first part of your question (what are the available options I can go for in the same field except M.Sc Statistics),First of all, I will advice you to complete a Doctorate degree from Tier 1 institute (if time allows you)

What are the differences between data science and decision science?

At LinkedIn, there was a Decision Science team focused on analytics and modeling to support A/B testing, tracking, business intelligence, adhoc product manager requests, etc. The Product Data Science team was more engineering oriented, primarily focused on shipping production data products

Being a student of B.Sc Statistics, what are the available options I can go for in the same field except M.Sc Statistics. Which will be better in Data Science, AI or ML?

There are n numbers of options available as a statistics graduate.Coming to the first part of your question (what are the available options I can go for in the same field except M.Sc Statistics),First of all, I will advice you to complete a Doctorate degree from Tier 1 institute (if time allows you)

What are the differences between Data Science and Data Mining, are they same?

Hi there,To understand these concepts, first you have to understand few terms.Big Data is a collection of huge amount of data that requires special database management systems to analyze and take out useful insights from it. Analysis & insights from this data is considered as Big Data Analytics.Big

What is the future of data science?

Debunking the myth of the data science bubbleWe've all read articles indicating the looming decline of data science. Some coined the term ‘data science bubble,' some even went so far as set a date for the ‘death of data-science' (they give it five years before the bubble implodes). This reached a point where anyone

What are the differences between Data Science and Data Mining, are they same?

Hi there,To understand these concepts, first you have to understand few terms.Big Data is a collection of huge amount of data that requires special database management systems to analyze and take out useful insights from it. Analysis & insights from this data is considered as Big Data Analytics.Big

What statistics should a data scientist know?

I recently wrote a post called

Being a student of B.Sc Statistics, what are the available options I can go for in the same field except M.Sc Statistics. Which will be better in Data Science, AI or ML?

There are n numbers of options available as a statistics graduate.Coming to the first part of your question (what are the available options I can go for in the same field except M.Sc Statistics),First of all, I will advice you to complete a Doctorate degree from Tier 1 institute (if time allows you)

What is the future of data science?

Debunking the myth of the data science bubbleWe've all read articles indicating the looming decline of data science. Some coined the term ‘data science bubble,' some even went so far as set a date for the ‘death of data-science' (they give it five years before the bubble implodes). This reached a point where anyone

Being a student of B.Sc Statistics, what are the available options I can go for in the same field except M.Sc Statistics. Which will be better in Data Science, AI or ML?

There are n numbers of options available as a statistics graduate.Coming to the first part of your question (what are the available options I can go for in the same field except M.Sc Statistics),First of all, I will advice you to complete a Doctorate degree from Tier 1 institute (if time allows you)

What are the differences between Data Science and Data Mining, are they same?

Hi there,To understand these concepts, first you have to understand few terms.Big Data is a collection of huge amount of data that requires special database management systems to analyze and take out useful insights from it. Analysis & insights from this data is considered as Big Data Analytics.Big

How are philosophy and mathematics related?

Some of mathematics employs a mode of reasoning (proof from postulates)  that can be employed in broad philosophical contexts.  For example Spinoza employed Euclidean style proofs in his theology and ethics.

Why do people try to prove statistics wrong?

You must read about Godel's theorem.anyways, proving something wrong means we should not be using it further for practical applications and hence saving time, energy and lives.think abt that.

If you are a technical trader, you can move the probability in your favor by following the trading tips given in the article. Some of these tips are:Know what the trend is and trade with it. Rewards can be found for traders buying against the trend, but why risk it? Remember that the trend is your friend,

What statistics should a data scientist know?

I recently wrote a post called

How does statistics relate with maths?

To me, Math relates to Statistics the way Math relates to Physics. Physics is a scientific discipline that requires one to be quite good at math. However, Physics goes deeper into topics not covered in typical math classes.The same goes for statistics. To be good at statistics, you have to know quite a

Do statistics always prove to be true?

Statistics are a way of recording historical facts. Things happened, you measured and recorded them down, those are your statistics.Are historical facts true? The fact that they happened would mean... yes.And by the way, statistics are not the same as forecasts. Using statistics to make a forecast is like using history to make a projection of the future.Projected

If you are a technical trader, you can move the probability in your favor by following the trading tips given in the article. Some of these tips are:Know what the trend is and trade with it. Rewards can be found for traders buying against the trend, but why risk it? Remember that the trend is your friend,

Why is there a need to have a hypothesis before performing an experiment?

The process of formulating a hypothesis forces you (helps you) to become clear about what you believe to (not) be the case and how you are going to test this:

What are the differences between data science and decision science?

At LinkedIn, there was a Decision Science team focused on analytics and modeling to support A/B testing, tracking, business intelligence, adhoc product manager requests, etc. The Product Data Science team was more engineering oriented, primarily focused on shipping production data products

Does statistics plus computer science equal data science?

Data science is an umbrella term.  Really, it is.With that background, as long as you can take a moderately difficult domain problem and solve it, you should be able to call yourself a data scientist, as far as I'm concerned. Of course, there are some people, still, who

What do people commonly get wrong about statistics?

The biggest mistake is assuming that a statistical correlation represents cause-and-effect. I will give you 2 examples: #1. low-income folks are sick more than high earners. Statistics suggest high earners have better immune systems, but in reality they can afford better medical care and prescriptions. Obvious, right? #2. According to statistics, lung-cancer causes smoking. Right?

What is the spiritual significance of burning or cremating a dead body?

1) Sense of FinalityThere is a sense of finality to the dead through the process of cremation.In case of a burial, the loved ones tend to come back to the place of burial and grieve. Mind you, this act

How many meals are served in the US restaurant industry per year?

The National Restaurant Association reports that there are some 990,000 restaurants (ranging from fast food to diners through upscale fine dining operations) operating in the US in 2014. One can make a few "thin air" assumptions to come up with a surely-understated guesstimate at the number of annual restaurant meals--just to show how vast the

What are some food delivery statistics?

Slice Intelligence is today's benchmark for delivery services market data: delivery insights - Slice IntelligenceWe at Zirra are focusing on specific startups rather than on market trends, but we recently completed a research focusing on the top 10 food delivery companies: Ele.me,

How much tax is actually collected by IRS on the foreign income of US citizens/persons?

Nobody really knows, because it is not tracked.First of all, there are two categories: US persons who live abroad (most of whose income would be foreign), and US-resident taxpayers who have foreign-source income.It's very hard to determine even which US taxpayers are

How much tax is actually collected by IRS on the foreign income of US citizens/persons?

Nobody really knows, because it is not tracked.First of all, there are two categories: US persons who live abroad (most of whose income would be foreign), and US-resident taxpayers who have foreign-source income.It's very hard to determine even which US taxpayers are

Why are there different sexual orientations?

There is actually only one

What is GARCH in layman's terms?

It's worthwhile to start here first: What is the difference between GARCH and ARCH? Another way to think about ARCH is that it's just a generalization of the sample variance [0]. That is, instead of giving equal weight to each residual squared you observe across time, you estimate what weights

What are some examples of mixture models?

Mixtures of Gaussians [http://www.ee.iisc.ernet.in/new/...]Mixtures of Multinomials [Page on qwone.com]Are the two you should really know about.

What are the most shocking statistics?

Global Poverty Statistics make me feel lucky yet guilty everyday I wake up.1.8 Billion People live in extreme poverty (Under \$2.50/day)4.8 Billion People live under \$10/Day. (70% of entire world population)800 Million people go to beds without eating anything.850 Million don't have access to clean water and 2.5 Billion do not have proper sanitation.Their are more Smart

What would the world be like if the normal distribution had never been discovered?

It's just too difficult to imagine a world where this could happen.  The de Moivre–Laplace theorem, which is the central limit theorem for Bernoulli random variables, was published in 1738.  That basically makes it the first result in mathematical statistics, and also something that was accessible to anyone with some basic