This course introduces Python programming as a way to have hands-on experience with Data Science.
It starts with a few basic examples in Python before moving onto doing statistical processing.
The course then introduces Machine Learning with techniques such as regression, classification, clustering, and density estimation, in order to solve various data problems.
This course is for beginners, but it helps to have some basic understanding of statistics (mean, median, scatter plot) and preliminary knowledge of any programming.
The course also assumes that you know how to download and install various programs/apps, and you are able to edit and debug simple programs
Writing simple Python scripts to do basic mathematical and logical operations
This course introduces R programming environment as a way to have hands-on experience with Data Science.
It starts with a few basic examples in R before moving onto doing statistical processing.
The course then introduces Machine Learning with techniques such as regression, classification, clustering, and density estimation, in order to solve various data problems.
This course is for beginners, but it helps to have some basic understanding of statistics (mean, median, scatter plot) and preliminary knowledge of any programming.
The course also assumes that you know how to download and install various programs/apps, and you are able to edit and debug simple programs
Writing simple R programs to do basic mathematical and logical operations
Whether it's making business decisions, forecasting the weather, studying protein structures in biology, or designing a marketing campaign, these scenarios involve a multidisciplinary approach using mathematical models, statistics, graphs, databases and of course, the enterprise or common medical sense at the back of the analysis of the facts.
So we want a programming language that can meet all of those remarkable technological know-how needs.
Python shines in concert with these languages because it's several inbuilt libraries and options that build it simply to satisfy information science demands.Python is a partner taken high-degree popular programming language, and it's fashion philosophy emphasizes code clarity with its use of vast indentation.
Moreover, it's language constructs an object-orientated method, ambitions to help programmers write clear, logical code for small and large-scale projects.
It is also very well known for its simple programming syntax, code readability, and English-like commands, making Python coding much easier and more efficient.
We can also say that Python is an interpreted, object-oriented, high-stage programming language with dynamic semantics and is simple, smooth to study syntax, emphasizes clarity and reduces the price of software maintenance.