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What are the prerequisities for data science?

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Data Analyst with 10 years of experience in Fintech, Product ,and IT Services

To pursue data science, you should be comfortable with math, especially algebra, calculus, and statistics. You'll need to learn programming languages like Python or R for data analysis and manipulation. Understanding databases and SQL helps with handling data. Familiarity with machine learning concepts...
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To pursue data science, you should be comfortable with math, especially algebra, calculus, and statistics. You'll need to learn programming languages like Python or R for data analysis and manipulation. Understanding databases and SQL helps with handling data. Familiarity with machine learning concepts and data visualization techniques is also important. Additionally, critical thinking skills and domain knowledge in areas like finance or healthcare are beneficial. Continuous learning and curiosity are key to mastering data science.

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C language Faculty (online Classes )

Mathematics, like probability, statistics, algebra, and calculus. Object-oriented programming languages like Java, C, or Python. Structured Query Language (SQL) for database queries.
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Data Analyst with 10 years of experience in Fintech, Product ,and IT Services

To pursue data science, you should be comfortable with math, especially algebra, calculus, and statistics. You'll need to learn programming languages like Python or R for data analysis and manipulation. Understanding databases and SQL helps with handling data. Familiarity with machine learning concepts...
read more

To pursue data science, you should be comfortable with math, especially algebra, calculus, and statistics. You'll need to learn programming languages like Python or R for data analysis and manipulation. Understanding databases and SQL helps with handling data. Familiarity with machine learning concepts and data visualization techniques is also important. Additionally, critical thinking skills and domain knowledge in areas like finance or healthcare are beneficial. Continuous learning and curiosity are key to mastering data science.

read less
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My teaching experience 12 years

Mathematics, like probability, statistics, algebra, and calculus. Object-oriented programming languages like Java, C, or Python. Structured Query Language (SQL) for database queries.
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