We use type conversion functions in Python for Data Science to convert one data type to another directly. Below are some of the conversion functions.

**int(a,base) –**For converting all data types to integers. Base is there to specify the base of the string in case of strings as the data type.**float() –**Converts all data types to floating-point numbers or decimals.

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**ord() –**there for conversion to an integer from character.**hex() –**This specific function converts to hexadecimal string from integer.**oct() –**This function is there for the conversion of integer to an octal string.

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**tuple() –**It is there for conversion to tuple.**set() –**It is a function that returns the type after conversion of set.**list() –**It is a function that converts all data types into a list.

**dict() –**It is useful for the conversion of a tuple of order (key, value) to a dictionary.**str() –**Useful for the conversion of integer to a string.**complex(real, imag) –**for the conversion of real numbers to complex (real, imag) numbers.

To learn more about type conversion in python for data science, you can check this and this.