What are the skills required to become a Data Scientist?

I'm mentioning what are the qualification needed to become a Data Scientist and what are different Data Science certification program.So let us see-

How do data scientists analyze Big Data?

Data scientist is someone who knows how to extract meaning from and interpret data, which requires both tools and methods from statistics and machine learning, as well as being human. Data scientist spends a lot of time in the process of collecting, cleaning, and munging data, because data is never clean. This process requires persistence, statistics, and software

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

Which one is better for data science, NIIT or Edwisor?

Hi,To determine how good a platform or a learning path is, there are certain factors that you need to consider before taking up any course/career path whether it is online or offline. However, I would consider these points to be the core decision factor:Curriculum or courseworkReliability of mentors and resourcesAssurance of jobsBeing with edWisor for quite some

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

Is data science a boring science?

HiIt depends on what sort of roles do you enjoy. Please allow me to add more color on what is a data scientist role first.Analytics and data science jobs are very similar to strategy roles, as you are suggesting ways to improve business and make

What are best data science books and resources?

These are the ones I currently have in my bookcase and can vouch for:Automate the Boring Stuff with Python: Practical Programming for Total BeginnersThe Elements of Statistical Learning: Data Mining, Inference, and PredictionAn Introduction to Statistical Learning: with Applications in RKhan Academy is also good for reference and learning!

I am about to start data science in the UEL. Is it worth studying there?

Hi,Learning data science is not at all easy, no matter where you joined. it is not like you are learning only one stream of subjects.here you are supposed to be good at computer programming, statistics, basic math, and hugeeeeeeeeeeeeeee patience, and many moreand even if you are learning from

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.

What is the real power of data science?

The primary goal of big data analytics is to help companies make more informed business decisions by enabling DATA Scientist, predictive modelers and other analytics professionals to analyze large volumes of transaction data, as well as other forms of data that may be untapped by conventional business intelligence(BI) programs.

How can one get into data science with a background in the social sciences?

Through this plan, we aim to remove the confusion in learning data science for beginners without programming background.1.Getting startedFind out what is data analytics or data scienceSkills required to become a data scientistAttend meetups & free webinar on career in

What is difference between Data Science and Big Data?

Let's first read about what is exactly Data Science then after that we will read about Big Data.What is Data Science?Data Science is a field that encompasses related to data cleansing, preparation, and analysis. Data science is an umbrella term in which many scientific methods apply. For

Is data science difficult?

if you can dream to become Data Scientist it is not at all difficult. It's a combination of math, stats and economics OR logical, research and decision making. The role of data scientist is to give various business insights to the client.Along with your domain knowledge good analytical skills with some programming and database knowledge will help you to

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

Who are most influential people in Big Data/Data Science?

It is hard to answer because the borders of Big Data and/or Data Science is not clear. A biostatistician is a Big Data researcher because s/he needs to deal with DNA coding etc. An economist can be a Big Data researcher if s/he focuses on large consumer behavior (e.g., scanner data

How can one get into data science with a background in the social sciences?

Through this plan, we aim to remove the confusion in learning data science for beginners without programming background.1.Getting startedFind out what is data analytics or data scienceSkills required to become a data scientistAttend meetups & free webinar on career in

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

Is software engineering still a better career than data science?

Both Software Engineering as well as Data Science will be there in the market even after a decade or two.I guess what you are talking about here is career perspective based on the technology hype. Gartner's hype cycle is on of the best resources

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

This is the reason I became a Data Scientist:

Is Python better than R for data science?

I haven't met the data scientist that does full-time data science all day long. All of us need to learn a proper programming language to do our daily business and write *testable* production code (Python has good unit test frameworks).As a programmer, seeing the syntax of

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

How can data science be used?

I work on a data collection app, Conseris, and through this work I have learned that data can be used in many, many ways. Just a few examples include ad targeting, online recommendations, image and speech recognition, gaming, business trends, and fraud detection. Data science can be used in any field where

What is the role of big data in studying criminal forensics?

Big Data is utilized in numerous sorts of applications in the criminal equity framework, from profiling lawbreakers to finding information and exhibiting confirm based contentions to members of the jury at preliminary. The BJS and innovation columnists anticipate that it

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

Should I move to data science from big data engineering?

You are working on good technology. The decision of moving towards analytics side is completely of your own. just ask one question-where you want to see yourself in next 5/10 years?there can be more than three options but I am referring to just 3 because we are talking in context of your

What are the most valuable projects a data scientist can create?

This question is super broad and subjective - it really depends on what your values/goals are in choosing what project to work on. In other words, define

Is Data Science good for engineers?

Yes , definetly it is good for engineers. as it covers MATHS, BUSINESS AND COMPUTER SCIENCE.Data science is an field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured, similar to

Which one is paying more, data science or data engineering?

Although the job surveys say different things, I think this more depends on the employer and which roles are more important to them. Demand for data scientists are quite high as of this writing, but I notice that many companies post jobs for data scientist, but what they

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

Is the hype around data science / big data over?

Big data was frankly a term with very ambiguous meaning. Data science though has a more clear cut definition. To be frank data science is just a combination of computer science and statistics. But both of these terms seem to be used less and less in actual business these days. What is gaining more significance is AI

What is data science and big data analytics?

Data science derives insight from complex and typically large collections of data using a set of tools including graduate-level statistical modeling and inference, machine learning, and visualization methods. Here's a quick overview of how it is used in industry today and what characterizes this field and its practitioners: https://www.slideshare.net/Colle...

What is the role of data science for Big data?

Data Scientist do a lot of things but the main part is Data Mining. they do many things apart from that data collection, data analysis, Report making and presenting etc. are some more things they do basically they have to have a certifications of various softwares used in the industry on

What does Big Data mean for the social sciences?

The analysis of big volumes of data opens up new roads of research and makes it possible to provide answers which were previously unanswerable. In social science research, there is an incredible tradition of overview methodology with people doing interviews about a wide range

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

How data science help the big data professional? Is there any significance of learning data science for big data professional?

In a very real way, there would be no term "data science" without large data sets, or "big data".  This is simply for the reason that, in most cases, classical statistics would be enough.Increasing amounts of data caused the need for some new techniques, and also spawned a whole lot of nonsense about how statistics is no

What's after Data Science?

Scientific computing. Data Science and Machine Learning use very simple (usually linear or

What's 'data leakage' in data science?

Leakage | KaggleData Leakage is the creation of unexpected additional information in the training data, allowing a model or machine learning algorithm to make unrealistically good predictions.Leakage is a pervasive challenge in applied machine learning,

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

Is a masters in Data Science worth it?

Well let me take a dig at this. In order to understand if MS in Data science is worth it - we need to understand the job demand. In the case of US, the List of SOC Occupations - Bureau

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