what are the prerequisites to become a data scientist?
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Earn a bachelor's degree in IT, computer science, math, physics, or another related field; Earn a master's degree in data or related field; Gain experience in the field you intend to work in (ex: healthcare, physics, business).
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['maths and statistics.', 'marketing and analytics.', 'business and marketing.', 'data science.']
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To be a good data scientist, you have to be very intelligent. Probably more so than most other roles. This is primarily because two of the key elements of a data scientist are a very strong ability to learn quickly, and an ability to do novel, independent research.
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You need to have some understanding of maths – statistics, probability, linear algebra, and calculus, programming language, and data modeling. Machine Learning is a lucrative career to get into, but it requires a certain amount of practice and experience. It's not a quest that can be done overnight.
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A Data Scientist's job is to use data to help businesses make decisions. Here are some common duties and responsibilities of a Data Scientist: Collecting data through means such as analyzing business results or by setting up and managing new studies. ... Searching through large data sets for usable information.
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['Is Machine Learning Crash Course right for you?', 'Prework.', 'Prerequisites. Algebra. Linear algebra. Trigonometry. Statistics. Calculus (optional, for advanced topics) Python Programming. Bash Terminal / Cloud Console.']
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['Be aged between 16 and 47.', 'Have GCSEs at Grade C/4-5 or above; or SNE equivalent grade 5 or above in English Language, Mathematics and should have an approved science/technology-based subject.']
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You'll need a good (a first or upper second class) undergraduate degree in science, computer science, maths or meteorology. A postgraduate qualification in meteorology or climatology is also highly desirable.
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['Experience as a BI Consultant, Data Scientist or similar role.', 'Familiarity with our industry is a plus.', 'Experience with data mining.', 'Good knowledge of machine learning.', 'Experience using business intelligence tools (like Tableau and Microsoft BI Power) and data processing frameworks (like Hadoop and Samza)']
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Data Science is a comprehensive process that involves pre-processing, analysis, visualization and prediction. On the other hand, AI is the implementation of a predictive model to forecast future events. Data Science comprises of various statistical techniques whereas AI makes use of computer algorithms.
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In addition to the different A level requirements above, you will also need at least five GCSEs (A-C) including science, English, and maths. Some universities require a maths GCSE for computer science degrees.
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Some of the important data science algorithms include regression, classification and clustering techniques, decision trees and random forests, machine learning techniques like supervised, unsupervised and reinforcement learning.
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Data Scientist Data scientists are charged with collecting, analyzing, and interpreting large, complex datasets by leveraging both machine learning and predictive analytics. They also play a vital role in developing algorithms that enable the collection and cleaning of data for analysis.
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['Expectation vs. Reality – Here Lies A Wide, Wide Gap! ... ', "Mapping a Data Scientists' Role to Business Goals. Here's another (un)popular expectation problem. ... ", 'Lack of Upskilling for Data Science Professionals. ... ', 'No Clear Benchmarking in Salary Pay-Outs. ... ', 'Great Exposure to Different Data Science Projects on Different Platforms.']
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As a data scientist, you'll analyse raw data to form insights and solve problems like creating products or updating software. Get the key skills and qualifications now by taking online data science courses from top UK universities and institutions.
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Overall, computer science focuses solely on computers. ... Data Science degrees focus on mathematical concepts and understanding, such as calculus and statistics. Other subjects such as machine learning, deep learning, data visualization and databases are also covered.
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There are four-year bachelor's degrees in data science available, as well as three-month bootcamps. If you've already earned a bachelor's degree or completed a bootcamp, you may want to consider earning a master's degree, which can take as little as one year to complete.