What is a data warehouse and data mining?

Data warehouse is a data storage where you bring your old data and store it to for any analysis or process. It is a kind if non-transnational database. You usually bring the previous data to a different storage. It is a copy of your original database so that it will not affect your original data.

What are some data analysis projects I can do as a data science beginner?

I am going to list the projects according to their difficulty and their availability of online resources that could help you complete them in time.Stock Prices PredictorA system that can learn about a company's performance and predict future stock prices is not only a great application of Machine Learning (ML) but also has value and purpose in

What do employers think of Metis Data Science Bootcamp?

While I hope employers will respond to this question (and say good things), I thought I might share an interview with Randy Carnevale, Director of Data Science at Capital One Labs, which is a member of our hiring network.  Here are a few quotes from

Why is data mining required?

A book can be written out of this question. There is no place where you can think of why data mining is not required.Organizations, NGOs , Individuals, Countries think of any entity that doesn't require information. Information is mined from Data.Example :GDP numbers, data accumulated from different sources gets tabulated and then presented. India's

How can the design principles from The Pragmatic Programmer be applied to data analysis projects with SAS, R, or Python?

The closest thing I can think of for this is to make sure you are not totally off base in any part of your analysis before proceeding to the next step.  What that means is validate the results against another subset of

What is spatial data mining?

Spatial Data Mining is the process of discovering interesting and previously unknown, but potentially useful patterns from large spatial datasets. Extracting interesting and useful patterns from spatial datasets is more difficult than extracting the corresponding patterns from traditional numeric and categorical data due to the complexity of spatial data types, spatial relationships, and spatial autocorrelation.Thank you for reading!

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 is data mining, and what is not data mining?

Data Mining:Data mining is the process of finding anomalies, patterns and correlations within large data sets to predict outcomes. Using a broad range of techniques, you can use this information to increase revenues, cut costs, improve customer relationships, reduce risks and more. Data mining is done without any preconceived hypothesis, hence the information that comes from

What's your motivation behind loving data and data science?

This is the reason I became a Data Scientist:

What is data science, big data and machine learning?

FromCognitive Computing and Artificial IntelligenceAnalytics and Business Intelligencehere are the definitions:Machine learning: giving computers the ability to learn without being explicitly programmed; a method of data analysis that automates analytical model building; using algorithms that iteratively learn from data to find hidden insights without being explicitly programmed

Where is the science in data science?

Many would think that it is important to investigate the concept of data first. Data is a symbol of the recorded past. Such symbols can be numbers, or letters, or even images. Something that is discrete enough to allow for categorization. When we try make sense of the world we do it by categorizing our sensory inputs which

Why is Data Science considered as hot?

We have reached an interesting point in time where we have a lot of data, and the capacity to store it, and build models that explain it and predict future behavior based on it. This was easily understood by business all over the world as

What is spatial data mining?

Spatial Data Mining is the process of discovering interesting and previously unknown, but potentially useful patterns from large spatial datasets. Extracting interesting and useful patterns from spatial datasets is more difficult than extracting the corresponding patterns from traditional numeric and categorical data due to the complexity of spatial data types, spatial relationships, and spatial autocorrelation.Thank you for reading!

Should/does data science always imply using big data?

Nope. To build on Peter's already great answer, a lot of times data scientists actually intentionally work with "small data"- samples of the entire available data- to speed up the exploratory process. It's critical in early analysis to be able to understand the "shape" and "holes" of

What are interesting open data projects in data analysis or science?

This is a very open ended question, are you searching for a project for yourself to learn and prove skills or finding the problems currently pushing technology as researchers try to solve them?Machine vision has a lot of promise. Multiple companies are funding large research groups to improve self driving cars to pass

What are some basketball data science project ideas?

A research group at Harvard does some cool spatial statistics analysis using position data in basketball game. You could try to recreate some of their work. Check out these videos for details:

What is the relation between data science, big data, and data mining?

Data ScienceIt is the basic field comprises everything related to data and uses principles from Statistics , Probability, linear algebra,Computer Programming, Machine Learning ,Domain knowledge ,Communication skills in order to make sense of data that can reflect business value.Big DataWhen data is quite large preferably in the scale of Petabytes and generated regularly then four

Which is better: Zipfian or Metis for data science bootcamp?

This is inherently a difficult question to answer, as only someone who attended Metis AND Zipfian could provide a true comparison. (And, to my knowledge, no one has attended both.)I am obviously partial to Metis, and I don't think Quora should deteriorate into a platform for

What motivated data mining?

Instead you can ask why data mining?Data mining is the field where huge amount of data is collected and being processed to extract some useful data i.e information. As you asked what motivates it, the need of era motivates it. Everyone wants the concise and precise information which is possible through it, as it is not

What statistics should a data scientist know?

I recently wrote a post called

If every science uses data, what is data science?

Think about this: if all science uses math, what is mathematics?The answer is that mathematics lies in a more abstract layer than math used in other disciplines. In other words, mathematics studies concepts and methods which with slight concretisation can be universally applicable to all sciences.Data science is similar from this perspective.

What is data visualization in data mining?

Data Visualization is the technique by which Data Scientists communicates/represents the Actionable Insights mined from the Data.It's a kind of Dashboarding where one can Visualize the results & Correlations in the Data using Pie Charts, Scatter lines, Bar Charts, Maps, etc.

What degree is useful for data science?

A useful degree in Data Science should be minimum a Master degree and can be up to a PhD from a good school or university.  Less than that I don't think anyone can pretend to be Data Scientist which needs strong mathematical background. There is

For learning data science, is Data Camp better than Coursera's data science specialization?

Having undergo-ed Python training with the Duo. I'd lean more to Datacamp for ease of learning and assimilation. I'm afraid to say the mode of teaching on Cousera which is more of Video is not the best fit for a practical oriented course. This definitely is what gives Datacamp an

What exactly does data science mean?

It is not well defined term. Many experts have little diffrent definitions about it. I will try to explain my understandings.It is collection, arrange, clean, present, tabulate , analysis, programming tools, data handling, reports, etc.. Etc... All is data science. You might say that since centuries statisticians are doing same,then what is diffrent in data science?Actually statisticians knows

Why does data science work?

According to me, the specific reason behind the 'work' of data science are, people ( who are doing it) and their interest ( what they love).Statistically speaking, The null hypothesis (Ho)

What degree is useful for data science?

A useful degree in Data Science should be minimum a Master degree and can be up to a PhD from a good school or university.  Less than that I don't think anyone can pretend to be Data Scientist which needs strong mathematical background. There is

What is data visualization in data mining?

Data Visualization is the technique by which Data Scientists communicates/represents the Actionable Insights mined from the Data.It's a kind of Dashboarding where one can Visualize the results & Correlations in the Data using Pie Charts, Scatter lines, Bar Charts, Maps, etc.

Which one is better, online data science classes or onsite data science classes?

Hi,I am glad that you're choosing one of the most booming careers in technology - Data Science. You can opt online session or class room session, this will depends on how you comfortable with. I will suggest you to go with Imarticus

For learning data science, is Data Camp better than Coursera's data science specialization?

Having undergo-ed Python training with the Duo. I'd lean more to Datacamp for ease of learning and assimilation. I'm afraid to say the mode of teaching on Cousera which is more of Video is not the best fit for a practical oriented course. This definitely is what gives Datacamp an

Which is better: zipfian or insight for data science bootcamp?

Both are great in-person programs.Insight is a fellowship program. They only take the cream-of-the-crop PhD graduates. In many cases, these students could easily get data science jobs with a little bit of self-study. Their program is also only 7 weeks, so you clearly do not learn as much as a traditional 12 week in-person bootcamp or 24

Why is Python more popular than R as a tool for data analysis? Most data science jobs ask for Python experience. Very few ask for R.

At heart, a good data scientist is a passionate coder-slash-statistician –and there's no better programming language for a statistician to learn than R. THE standard among statistical programming languages, R is sometimes called the ‘golden child' of data science. It's a popular skill among big

Which one is better, online data science classes or onsite data science classes?

Hi,I am glad that you're choosing one of the most booming careers in technology - Data Science. You can opt online session or class room session, this will depends on how you comfortable with. I will suggest you to go with Imarticus

What is genomic data science?

Genomic data science applies statistics and computer science to the genome. The goal is to understand, analyze, and interpret information from genome sequences.

If every science uses data, what is data science?

Think about this: if all science uses math, what is mathematics?The answer is that mathematics lies in a more abstract layer than math used in other disciplines. In other words, mathematics studies concepts and methods which with slight concretisation can be universally applicable to all sciences.Data science is similar from this perspective.

For learning data science, is Data Camp better than Coursera's data science specialization?

Having undergo-ed Python training with the Duo. I'd lean more to Datacamp for ease of learning and assimilation. I'm afraid to say the mode of teaching on Cousera which is more of Video is not the best fit for a practical oriented course. This definitely is what gives Datacamp an

Why does data science work?

According to me, the specific reason behind the 'work' of data science are, people ( who are doing it) and their interest ( what they love).Statistically speaking, The null hypothesis (Ho)

What does a data scientist do?

Just last month I got the opportunity to host former Chief Data Scientist of USA and the co-coiner of the term data science

What is mining big data?

Big data is a term used for large datasets. Mining big data is the extraction of useful information from t large datasets or streams of data.The goal of the data mining is classification or prediction. Classification can be defined as sorting of data into groups and prediction means predicting the value of a continuous variable.Read more.

What statistics should a data scientist know?

I recently wrote a post called

Which is better: zipfian or insight for data science bootcamp?

Both are great in-person programs.Insight is a fellowship program. They only take the cream-of-the-crop PhD graduates. In many cases, these students could easily get data science jobs with a little bit of self-study. Their program is also only 7 weeks, so you clearly do not learn as much as a traditional 12 week in-person bootcamp or 24

What motivated data mining?

Instead you can ask why data mining?Data mining is the field where huge amount of data is collected and being processed to extract some useful data i.e information. As you asked what motivates it, the need of era motivates it. Everyone wants the concise and precise information which is possible through it, as it is not

Why does data science work?

According to me, the specific reason behind the 'work' of data science are, people ( who are doing it) and their interest ( what they love).Statistically speaking, The null hypothesis (Ho)

What exactly does data science mean?

It is not well defined term. Many experts have little diffrent definitions about it. I will try to explain my understandings.It is collection, arrange, clean, present, tabulate , analysis, programming tools, data handling, reports, etc.. Etc... All is data science. You might say that since centuries statisticians are doing same,then what is diffrent in data science?Actually statisticians knows

How is DevOps related to data science?

Well, they are not related in a conventional sense. It does not have to do with data and its analysis - at first glanceHowever, DevOps is very much recommended to implement in data-driven organizations, specifically if they rely on fast data. What