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  1. <?xml version='1.0' encoding='UTF-8'?><?xml-stylesheet href="http://www.blogger.com/styles/atom.css" type="text/css"?><feed xmlns='http://www.w3.org/2005/Atom' xmlns:openSearch='http://a9.com/-/spec/opensearchrss/1.0/' xmlns:blogger='http://schemas.google.com/blogger/2008' xmlns:georss='http://www.georss.org/georss' xmlns:gd="http://schemas.google.com/g/2005" xmlns:thr='http://purl.org/syndication/thread/1.0'><id>tag:blogger.com,1999:blog-5499516889996424317</id><updated>2024-09-11T10:09:50.523-07:00</updated><title type='text'>CatSoco.com</title><subtitle type='html'></subtitle><link rel='http://schemas.google.com/g/2005#feed' type='application/atom+xml' href='https://catsococomf.blogspot.com/feeds/posts/default'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/5499516889996424317/posts/default'/><link rel='alternate' type='text/html' href='https://catsococomf.blogspot.com/'/><link rel='hub' href='http://pubsubhubbub.appspot.com/'/><author><name>Aamir</name><uri>http://www.blogger.com/profile/11191233810676525213</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><generator version='7.00' uri='http://www.blogger.com'>Blogger</generator><openSearch:totalResults>2</openSearch:totalResults><openSearch:startIndex>1</openSearch:startIndex><openSearch:itemsPerPage>25</openSearch:itemsPerPage><entry><id>tag:blogger.com,1999:blog-5499516889996424317.post-2840342791860138257</id><published>2022-05-06T01:24:00.004-07:00</published><updated>2022-08-29T21:49:27.506-07:00</updated><title type='text'>Chennai are capable of extracting a large amount of raw</title><content type='html'>There are several ways to &lt;a href=&quot;https://thebitcode-ai.com/&quot; target=&quot;_blank&quot;&gt;explain how data&lt;/a&gt; science works or conducts itself. First, the data scientists plan, and then they build a specific model to evaluate it and explain it further. In general, there are five ways of how a data science course in Pune works. They can be broadly classified as capture, maintain, process, communicate and analyze. All of these have further subdivisions, too. These are required for different programs, skill sets, and techniques in data science.
  2.  
  3. Data science has a result-oriented approach. It deals mainly with the technical part for the smooth working of the non-technical parts. The data scientists need to be curious-minded all the time and have specific bits of knowledge in different industrial fields. For the quantitative parts, a data scientist must have a strong grip over statistics and algorithm-based knowledge.
  4.  
  5. The courses in Chennai are capable of extracting a large amount of raw and unstructured data, arrange it in a proper and synchronized way and convey those to a particular organization or company so that they could reach the zenith with the help of the data scientists and their pieces of information. Verbal and visual communication is needed too. They should be able to build a model, explain it and deploy it for the company&#39;s success or a business.
  6.  
  7. Capture
  8.  
  9. Capture includes:
  10.  
  11. The acquisition as the primary step.
  12. The entry involves entering the correct data into the system.
  13. Signal reception involving the ability to intercept the signals properly.
  14. The extraction involving the extraction of processed and structured data from the raw ones.
  15. Maintain
  16.  
  17. This &lt;a href=&quot;https://www.bestdiscountvouchers.com/&quot; target=&quot;_blank&quot;&gt;includes warehousing&lt;/a&gt; and cleansing, which involves cleaning unpurified and chaotic data, staging it, arranging it into the assigned stages, processing, the raw and unstructured data, and finally, its architecture.
  18.  
  19. Process
  20.  
  21. This includes data mining which means the structuring of raw into a more refined form and decoding it using several techniques and mathematical algorithms, clustering/classification involves grouping it into several groups or categories for easy identification, modeling involves modeling it into a particular model that is easily accessible, and summarization which involves making a summary of the data structure to know about its content without delving deeper and for a short study.
  22.  
  23. Communicate
  24.  
  25. This involves data reporting, meaning preparing a report of structured data, visualization involving the right approach to visualize raw data so that it would be beneficial while structuring, business intelligence involving the correct approach to attempt to solve a difficult problem using mathematical calculations and algorithms, and decision-making which is making the right decision so that it proves to be useful in contributing to the success of an organization or any business.
  26.  
  27. Analyze
  28.  
  29. The steps included in this are exploratory/confirmatory, which involves exploring the data to find the right approach to solve a problem, predictive analysis means making a prediction and working on the raw data based on that to reach a conclusion or solution, regression, text mining which is decoding texts in the form of raw data for further implementation of it in some other processes, and qualitative analysis which is analyzing the data using &lt;a href=&quot;https://bitcoinhero.org/        &quot; target=&quot;_blank&quot;&gt;mathematical reasoning&lt;/a&gt; and correct algorithms. Qualitative analysis also involves the use of statistics in the process.&amp;nbsp;</content><link rel='replies' type='application/atom+xml' href='https://catsococomf.blogspot.com/feeds/2840342791860138257/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='https://catsococomf.blogspot.com/2022/05/chennai-are-capable-of-extracting-large.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/5499516889996424317/posts/default/2840342791860138257'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/5499516889996424317/posts/default/2840342791860138257'/><link rel='alternate' type='text/html' href='https://catsococomf.blogspot.com/2022/05/chennai-are-capable-of-extracting-large.html' title='Chennai are capable of extracting a large amount of raw'/><author><name>Aamir</name><uri>http://www.blogger.com/profile/11191233810676525213</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-5499516889996424317.post-3816786758766262388</id><published>2022-05-06T01:22:00.005-07:00</published><updated>2022-08-29T21:49:52.889-07:00</updated><title type='text'>data scientists in 2020. According to a recent study</title><content type='html'>Data science is not a &lt;a href=&quot;https://anonsystem.org/        &quot; target=&quot;_blank&quot;&gt;narrow field &lt;/a&gt;as it includes a number of sub-divisions, such as artificial intelligence, deep learning, machine learning, predictive analytics, data visualization, transformation, exploration, and preparation, just to name a few. And then there are different levels of competency. If you want to decide if data science is for you, you are on the right page. By answering a few important questions, you can make this decision. Read on to find out more.
  30.  
  31. 2. What does a Data Scientist do?
  32.  
  33. An experienced data scientist uses the available data to make insightful conclusions. Based on these conclusions, important decisions are made in large organizations and institutions.
  34.  
  35. The roles of these professionals include data analysis, data visualization, data transformation, and data collection. Apart from this, they also offer their recommendations on the actions that can be implemented on the basis of the data findings.
  36.  
  37. Also, these professionals work in a number of sectors like entertainment, government, health care, energy, and technology, just to name a few. Some of the big names in the field include Microsoft, Google, amazon, and Twitter.
  38.  
  39. 3. What is the Occupational Outlook for Good Data Scientists?
  40.  
  41. As far as the job outlook is concerned, know that it is quite positive. According to IBM predictions, there was a 28% rise in the demand for &lt;a href=&quot;https://www.fitness4all.pt/&quot; target=&quot;_blank&quot;&gt;data scientists&lt;/a&gt; in 2020. According to a recent study, most of the tech jobs required data science skills in 2020.
  42.  
  43. 4. How much can you make as a Data Scientist?
  44.  
  45. The amount of money you can make as a data scientist is dependent on the company or organization, job role, experience, and background. As a general rule, you can make between $50,000 and $250,000.
  46.  
  47. In other words, you can make a handsome amount of money every month. So, as far as salary is concerned, you can make a lot of money serving as a data scientist.
  48.  
  49. 5. How can you get Rready for a Career in this Field?
  50.  
  51. You need to meet a few important requirements. Some of those requirements are listed below.
  52.  
  53. High quantitative ability
  54. A mind that is focused on problem-solving
  55. Programming proficiency
  56. Effective communication ability
  57. Ability to be part of a team
  58. So, you may want to get a bachelor&#39;s degree, preferably in a quantitative discipline. For example, you can pursue a degree in Economics, business, mathematics, engineering, technology, and Science.
  59. 6. Do you need to Learn a Programming Language?
  60.  
  61. If you want to know the basics of data science, know that you can start from somewhere. There is no need to be overwhelmed by the number of programming languages out there. Although it makes sense to be familiar with several data size tools, we suggest that you get started with a few programming languages to get started.
  62.  
  63. Once you have developed a solid background, you can continue to challenge yourself and learn more programming languages down the road.
  64.  
  65. In short, we suggest that you answer these simple questions. This will help you decide if data science is for you. Hopefully, this article will help you make your choice easy.
  66.  
  67. Are you looking for a trustworthy data &lt;a href=&quot;https://bigmoneyrush.org/ &quot; target=&quot;_blank&quot;&gt;science institute&lt;/a&gt;</content><link rel='replies' type='application/atom+xml' href='https://catsococomf.blogspot.com/feeds/3816786758766262388/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='https://catsococomf.blogspot.com/2022/05/data-scientists-in-2020-according-to.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/5499516889996424317/posts/default/3816786758766262388'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/5499516889996424317/posts/default/3816786758766262388'/><link rel='alternate' type='text/html' href='https://catsococomf.blogspot.com/2022/05/data-scientists-in-2020-according-to.html' title='data scientists in 2020. According to a recent study'/><author><name>Aamir</name><uri>http://www.blogger.com/profile/11191233810676525213</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry></feed>

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