What are the prerequisities for data science?

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Sadiq

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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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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...
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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. read less
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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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Related Questions

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Hello Narasimha, Nice to hear that you served for 4.5yrs as asst professor and teaching is one of the best jobs you can do. To pursue the career in the software field, It must to have a programming background,...
Narasimha

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I have 2+ yrs working experience in BI domain. Can I pursue Data science for a job change? Will I get Job opportunity as per my experience or not in field of data science? R or python what to chose?
Hi Asish you can choose R or Python selecting programming tools is not criteria learning Deep Analytics is most important you should focus on Mathematicsfor (classification algorithms) statistics(EDA...
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Hi, anyone personal tutor who can teach data science with 100% job guarantee?
Yes,we have sarted such program. The course is designed to make you expert in 4 month time(60 Hourse course+60 Hours project work) 1)Machine Learning 2) Deep learning ,NLP and Speech to text with expert...
Kunal
Hi, I am looking for a managerial position in health care analytics sector. I have a background of Bachelors in Occupational Therapy and a Masters in Public Health Administration. I have more than 7 years experience of working with public health data, bio-statistics, epidemiological analysis. Currently working as a Sr. Epidemiologist in Hyderabad. I have an expertise in disease forecasting and scientific writing. Please suggest what course I should take up to become an expert in health care analytics domain, so that I can apply for mid level managerial positions. I am currently based at Hyderabad.
you consider "Healthcare Analytics Certificate Program" by UC Davis. Refer to https://extension.ucdavis.edu/certificate-program/healthcare-analytics-certificate-program
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