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-

What is the best course, data science or computer science?

There is really no best course. However, my personal opinion is that a good grounding in computer science would go a long way towards learning data science.Here is a brief description of data science:Data science is an interdisciplinary field of scientific methods, processes, algorithms and systems to extract knowledge or insights from data in

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

Are data science bootcamps worth the money and time?

Short Answer: Yes, if they also help you got a jobLong Answer:The biggest value gain in bootcamps is in teaching you just enough to be able to contribute in a company. Then they help you display your skills in the job

Is Social Prachar in Hyderabad the best institute to learn data science?

Yes ! Without Second Thought, You Can Choose SocialPrachar as your Training Partner for Data Science. They Have an Advanced Curriculum for Data Science includes R,Python,Statistics,Deep Learning,NLP,Hadoop,SQL,Tableau Etc.They Have Dedicated HR team for Placements,Dedicated Team for Doubts ClarificationAnd They are Developing AI Applications, So You Can

What are the most valuable skills a data scientist can develop to address upcoming developments in data science?

Data Science, Predictive Analytics Main Developments in 2016 and Key Trends for 2017 lists some of the developments in 2016 and some trends for 2017.

Do data analysts and data scientists hate doing data visualization?

Judging by:the number of plotting frameworks,showcases of custom visualisations,how often a pretty graph is considered analytics,...I'd say no.But there are others of course. Not going to say i hate visualisation, but i'm rarely fond of it, because:Often, you can get your answer from the numbers.Where that

Are data analyst/data science jobs boring?

Yes - this is more of a fundamental value question.  With any job, there are two aspects at play:What are the requirements of the job?How do you perceive your work?While you can slightly modify elements of (1), there is often little you can do that won't result

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

Is data science overrated?

Passion is Overrated. Talent is Overrated.I am sure, you have heard at least one of those two books.We interpreted something as overrated, when we focus only on that something whereas to achieve or make a difference you need other components.And there is also another

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

How easy or difficult is it for a large corporation to fire a newly hired data scientist because they can't figure out how to do some of the work?

Based on my experience, the person would get let go immediately if they misrepresented their education or work history. If the employee was just a bad fit, it would take a while to build a case and then institute a performance improvement plan. In most cases though, it's better for

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.

How should I go about my data science capstone project?

Dear visitors of this web page, I would like all of you to read attentively this my answer, because I am quite sure, that you will be interested in the information about the data science capstone. So, here is what I would like to tell you today:

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!

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.

What distinguishes a data scientist?

To me. the differentiating factor is that the data scientist knows how to set up the modern algorithms for data analysis.Let me try with an example. You can analyze some data with a clustering algorithm, but that algorithm requires some parameters to work.A given set of parameters can generate 1000 clusters and another set of parameters

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

Data Science: Why data scientist should aware of hacking skills?

Hacking is not what is portrayed in movies and media. Hacking is the ability to write quick functional code often beyond the technical limitations of standard operations.In this context the term

Should one be a data engineer or a data scientist?

Do you like software engineering? Is architecting distributed, scalable data pipelines sound interesting to you? Data EngineerDo you like pouring through data to find trends, predicting potential outcomes. and working on the closest thing to AI? Data Scientist

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 a data science bootcamp worth it without a degree?

Yes - according to Metis chief data scientist Debbie Berebichez, who says that you can learn on your own to prepare for bootcamp! Watch the video:

Which has better ROI, data science or mechanical engineering?

Depends on the field and application.Some DS, can have great returns, if plotted unto big data and co-relative data analytics in tandem with market fluxuations and corporate policying etc.As for Engineering..Well, Engineering needs a product and a label, so, that won't escape that department either..Which has the better ROI?Still, defined by subject, defined by market,

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

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 are some good data science projects that can be done as a mini project?

There are many good project ideas listed here - A curated collection of interesting machine learning projects. They can be starting points.Pick a problem you really like to solve like a simple recommendation engine. Think about a few of your friends with interests similar to yours. Can you predict which books they would like to read, movies

What questions do data scientists hate getting?

I actually have a good answer that you will likely come across at least once. It's similar to Hakkon's and can destroy an organization's ability to provide a data science business presence. This is not an exaggeration because I've seen it occur several times

What is the data science topic FAQ?

Here are the  3 most important FAQ's that I as a beginner had and somehow managed to find the answers too.#1 : Data Science or Big Data?Data Science and Big Data, are sometimes confusing to the beginners.Big data is a popular term used to describe the exponential growth and

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 distinguishes a data scientist?

To me. the differentiating factor is that the data scientist knows how to set up the modern algorithms for data analysis.Let me try with an example. You can analyze some data with a clustering algorithm, but that algorithm requires some parameters to work.A given set of parameters can generate 1000 clusters and another set of parameters

Transition to Data science advice

It is just about getting your foot in the door. So, if you can do that as a data analyst, then do it and grow on the job.Learn more about using python in a Data Sciency way. Read, do projects and build skills which you can show with a public portfolio....or if you really feel

Why data science is required today?

A2A. Why data science is required today?Required by whom? I would need to know whose is requiring data science to guess you their rational.

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

How to think the interview process will change in data science over the next 10 years

Hi,The interview process has been one of the most intersting ones over the last few years, as it is one where evolution can clearly be seen.Traditionally interviews used to be more of a confidence test, and in most cases interviews were not even required for several jobs and professions, with your written

Which companies in India use Python for data analysis?

Most of the Data analyst,Machine Learning and NLP companies using Python.InnoplexusSocialCops | Better Data, Smarter Decisionspashmark.comFractal Analytics | CPG | Financial Services | Retail | Insurance | Telecom | Life Sciences | Government | Technology |and lotmore

What projects combine data science and aerodynamics?

Strange, but fascinating, question.A few ideas for where these fields might cross:Skyscraper vibration and swaying. Skyscrapers are often designed to include a Tuned mass damper to reduce swaying and vibrations in wind and earthquakes. An analysis

How does Airbnb hire data scientists?

Big data means big ideas, and for recruiters, it means even bigger duties.The Growth DSs accomplice with the Marketing group and the Product group to distinguish approaches to drive more movement to Airbnb. A hefty portion of our securing channels include different stages, so these DSs assemble pipelines that connection information from these outsiders to