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 What is data science ?  How can someone learn it fast? Language used in data science?  Easy way to learn data science Scope of data science? What is Data Science ? Data science is the field of study that combines statistical analysis, computer science, and domain expertise to extract insights from data. It involves using various techniques, such as machine learning, to analyze and interpret data to make predictions, identify patterns, and gain insights. What are Data Science Learning Resources ? To learn data science , there are several resources available, including online tutorials, courses, and degrees. Some popular platforms for learning data science include Coursera, edX, and DataCamp. Additionally, many universities now offer degrees in data science or related fields. What Computer Programming Languages Used In Data Science? The primary language used in data science is Python, which has a large and active community of users and developers. Other languages such as R, SAS, and

C++ / C Learn C++ Fast Complete Guide With Example Programs and Solved Exercises Introduction to C++ Setting up a Development Environment Basic Syntax and Data Types Variables and Operators Control Flow and Loops Functions Arrays and Strings Pointers and Memory Management Object-Oriented Programming in C++ Exception Handling Standard Template Library (STL) File Input and Output Advanced Topics (e.g. templates, lambda expressions, etc.) Conclusion and Further Resources  Chapter 1: Introduction to C++ C++ is a powerful, high-performance programming language that is widely used in the software industry. It is an extension of the C programming language, but with additional features such as classes and templates. C++ is particularly well-suited for developing large, complex systems, such as operating systems, video games, and simulations. One of the strengths of C++ is its ability to support multiple programming paradigms, including object-oriented, procedural, and generic programming. This