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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.
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Step 1: Work On Your Maths
Most important:- Linear algebra,
Probability,
statics, and calculus
Step 2: Learn Programming Languages
Python , R and SQL
Step 3. Explore Data science library
Numpy Pandas , Matplotlib and seaborn
Step 4. Learn Machine Learning
Step 5 Learn deep Learning
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Related Questions
Is that possible to do machine learning and Data science course after B.com, MBA Finance and marketing students and how is career growth?
Currently I am working as a tester now, and looking to get trained in Data scientist.
Will that be a good decision, if I change my stream and move to data scientist field ?
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