What are the prerequisities for data science?

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Machine Learning: Machine learning is the backbone of data science. Modeling: Mathematical models enable you to make quick calculations and predictions based on what you already know about the data. Statistics: Statistics are at the core of data science.
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Online Mathematics tutor with 8 years experience(Online Classes for 10th to 12th)

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. read less
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Elevating Understanding, One Equation at a Time: Your Path to Mathematical Mastery Begins Here

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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Which are the best course, big data or data science, for beginners with a non-tech background?
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Data science includes: 1. **Statistics**: Basics of analyzing data.2. **Programming**: Using languages like Python or R.3. **Data Wrangling**: Cleaning and organizing data.4. **Data Visualization**: Making...
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Which course should a HR professional go for Data Science R or Data Science Python?

 

If you are from a technical background, do Python. Otherwise, do the R Course.
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I want to learn data science in home itself bcz i dont want much time to take any coaching and also most of the institutes are asking high amount for  training. Pease lemme know how i can prepare myself.

First of all you start leaning following. 1.Database(Sql,Nosql) 2 Python,Pandas,Numpy 3 Basic Linux,Big Data(Hadoop,Scala,Spark) 4. Machine Learning 5. Deep Learning
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