What's The Best Path To Becoming A Data Scientist?

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Munna Pandey

Professional IT Trainer for Programming Languages and Data Science

Basic Math like linear algebra and stats. Programming language like python or R
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1. Earn a bachelor’s degree — and a master’s degree. According to the Bureau of Labor Statistics, most computer and information research scientists — including data scientists — “need a master’s degree in computer science or related field, computer engineering.”...
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1. Earn a bachelor’s degree — and a master’s degree. According to the Bureau of Labor Statistics, most computer and information research scientists — including data scientists — “need a master’s degree in computer science or related field, [like] computer engineering.” A master’s program will take you two years, after earning a four-year bachelor’s degree. 2. Get an entry-level job. You may want to pursue an advanced job, but for now, it’s likely you’ll need to start in an entry-level position, such as a data analyst or junior data scientist. You may want to consider system-specific training or certifications — such as data visualization, business intelligence applications or relational database management — to help get your first job. 3. Earn a master’s degree or a Ph.D. Data science is a field where your opportunities will be greater with a master’s or doctoral degree, so you may want to consider getting one! You can choose to pursue a master’s in computer science, information technology, math and statistics. 4. Get a promotion. With a higher degree, more career opportunities have been opened to you, and it may be time to go after a promotion — and earn a higher salary, too. read less
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Data Science Mentor with experience Working in MNC || Udemy Educator

Step 1: Work On Your MathsMost important:- Linear algebra, Probability,statics, and calculus Step 2: Learn Programming LanguagesPython , R and SQL Step 3. Explore Data science libraryNumpy Pandas , Matplotlib and seabornStep 4. Learn Machine LearningStep 5 Learn deep Learning
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Step 1: Work On Your MathsMost important:- Linear algebra, Probability,statics, and calculus Step 2: Learn Programming LanguagesPython , R and SQL Step 3. Explore Data science libraryNumpy Pandas , Matplotlib and seabornStep 4. Learn Machine LearningStep 5 Learn deep Learning read less
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