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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-6999846117952843194</id><updated>2024-09-21T10:52:27.414-07:00</updated><title type='text'>bosbats.com</title><subtitle type='html'></subtitle><link rel='http://schemas.google.com/g/2005#feed' type='application/atom+xml' href='https://bosbatscomb.blogspot.com/feeds/posts/default'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/6999846117952843194/posts/default'/><link rel='alternate' type='text/html' href='https://bosbatscomb.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-6999846117952843194.post-2299908538177995511</id><published>2022-05-06T01:31:00.006-07:00</published><updated>2022-08-29T22:26:56.362-07:00</updated><title type='text'>you can make between $50,000</title><content type='html'>Data science is not a &lt;a href=&quot;https://bitcoin-buyer.info/&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.
  2.  
  3. 2. What does a Data Scientist do?
  4.  
  5. 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.
  6.  
  7. 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.
  8.  
  9. 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.
  10.  
  11. 3. What is the Occupational Outlook for Good Data Scientists?
  12.  
  13. 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 data scientists in 2020. &lt;a href=&quot;https://www.fitness4all.pt/&quot; target=&quot;_blank&quot;&gt;According to a&lt;/a&gt; recent study, most of the tech jobs required data science skills in 2020.
  14.  
  15. 4. How much can you make as a Data Scientist?
  16.  
  17. 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.
  18.  
  19. 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.
  20.  
  21. 5. How can you get Rready for a Career in this Field?
  22.  
  23. You need to meet a few important requirements. Some of those requirements are listed below.
  24.  
  25. High quantitative ability
  26. A mind that is focused on problem-solving
  27. Programming proficiency
  28. Effective communication ability
  29. Ability to be part of a team
  30. 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.
  31. 6. Do you need to Learn a Programming Language?
  32.  
  33. 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.
  34.  
  35. Once you have developed a solid background, you can continue to challenge yourself and learn more&lt;a href=&quot;https://libramethod.co/   &quot; target=&quot;_blank&quot;&gt; programming languages&lt;/a&gt; down the road.
  36.  
  37. 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.\</content><link rel='replies' type='application/atom+xml' href='https://bosbatscomb.blogspot.com/feeds/2299908538177995511/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='https://bosbatscomb.blogspot.com/2022/05/you-can-make-between-50000.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/6999846117952843194/posts/default/2299908538177995511'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/6999846117952843194/posts/default/2299908538177995511'/><link rel='alternate' type='text/html' href='https://bosbatscomb.blogspot.com/2022/05/you-can-make-between-50000.html' title='you can make between $50,000'/><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-6999846117952843194.post-8492102697868091466</id><published>2022-05-06T01:30:00.004-07:00</published><updated>2022-08-29T22:27:17.033-07:00</updated><title type='text'>associated with these professions have skyrocketed</title><content type='html'>In today&#39;s world, &quot;&lt;a href=&quot;https://primeadvantage.co/ &quot; target=&quot;_blank&quot;&gt;data is the new oil&lt;/a&gt;.&quot; As such, anything related is receiving huge positive responses and outreach globally. Among these, data science has become unparalleled when compared to similar aspects of its field.
  38.  
  39. Because of that, various job openings and opportunities have opened for scientists, analysts, Business Intelligence (BI) analysts and developers, analytics managers, statisticians, etc. Other such professions include architect, infrastructure architect, machine learning engineering, applications architect, machine learning scientist, and enterprise architect.
  40.  
  41. Prerequisites for taking a Data Science Course:
  42.  
  43. Although it is possible for anyone to take a specialization or certification data science course, you must fulfill specific requirements to ensure the comprehension and smooth uptake of the subject.
  44.  
  45. Therefore, a few rudimentary prerequisites include:
  46.  
  47. Probability analysis and computation
  48. Descriptive and inferential statistics
  49. Linear algebra, calculus, discrete mathematics and optimization, and theoretical aspects of mathematics for machine learning
  50. Programming aptitude and moderate expertise in data calculation and analytics, including Excel, Python, Database Query Language (SQL and NoSQL), Big Data Technologies, R Programming, Tableau, etc.
  51. Skills Acquired Through the Courses:
  52.  
  53. It aids in the formulation of various algorithms and software to facilitate the companies, industries, and businesses for efficiently analyzing their data. Therefore, these courses focus on the &lt;a href=&quot;https://www.fitness4all.pt/&quot; target=&quot;_blank&quot;&gt;facets that would&lt;/a&gt; help them perform the required job.
  54.  
  55. The hard skills acquired through the various courses are:
  56.  
  57. Regression analysis
  58. Machine learning
  59. Data analysis and cleansing
  60. Regular expression
  61. Cluster analysis
  62. Data wrangling
  63. Rstudio
  64. R programming
  65. Data debugging
  66. Data manipulation
  67. GitHub
  68. These courses also offer a set of soft skills. A few of them are:
  69.  
  70. Work ethics
  71. Logical reasoning
  72. Taking initiative
  73. Time management
  74. Problem-solving attitude and ability
  75. Stress management
  76. Self-confidence
  77. Increased dexterity
  78. Creativity
  79. Decision-making
  80. Teamwork
  81. Critical thinking
  82. Adaptability
  83. Interpersonal skills
  84. Benefits of Having a Job Related to Data Science:
  85.  
  86. Because of the expansive outreach and popularity in the global information market, job offers and profits associated with these professions have skyrocketed. Any person who has completed a certification or specialization course is eligible for these advantages.
  87.  
  88. As such, a few of those innumerable benefits include:
  89.  
  90. Versatility: Data science is an extensive field with flexible and multi-purpose applications. Utilized in several sectors, including E-commerce, banking, healthcare, finance, transportation, consultancy services, etc., it offers an assorted list of jobs.
  91. An abundance of positions: As proven by its versatility, it is in no way a small field. It provides ample job opportunities with distinct scopes of their own to individuals, using its expansive reach and applications.
  92. Demand: On account of its popular and trendy nature, numerous companies, businesses, and industries seek scientists and data science-related professionals to work with them. It leads to an explosion in job demand.
  93. Income: All jobs associated with data science are reputed, well-paid, and with added incentives. According to Glassdoor, a data scientist can earn approximately $166 thousand in the United States. In India, their income can be in lakhs of Rupees. This fact alone makes them exceedingly lucrative and worthwhile professions.
  94. Secure Career: Data science jobs are highly safe and steady to pursue. It encompasses a very routine job that offers substantial benefits. Additionally, there are hardly any to no sudden labor strife or layoffs associated with it.
  95. If the article has interested you in taking a data science course, DataMites has the very thing for you. For a  &lt;a href=&quot;https://bitcointrendapp.org/ &quot; target=&quot;_blank&quot;&gt;data science course&lt;/a&gt; in Kochi  or  Data science course in bangalore, visit us.</content><link rel='replies' type='application/atom+xml' href='https://bosbatscomb.blogspot.com/feeds/8492102697868091466/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='https://bosbatscomb.blogspot.com/2022/05/associated-with-these-professions-have.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/6999846117952843194/posts/default/8492102697868091466'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/6999846117952843194/posts/default/8492102697868091466'/><link rel='alternate' type='text/html' href='https://bosbatscomb.blogspot.com/2022/05/associated-with-these-professions-have.html' title='associated with these professions have skyrocketed'/><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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