Data Science is an interdisciplinary field that brought other branches like algorithms, processes, scientific methods, and effective processes to extract knowledge and insights from noisy, scattered, unstructured, and structured data.
DurationData Science is an interdisciplinary field that brought other branches like algorithms, processes, scientific methods, and effective processes to extract knowledge and insights from noisy, scattered, unstructured, and structured data. T
o do so, Data Scientists apply their knowledge, actionable insights, and skills from data over a wide range of application domains. This is how and where Python’s role is, a robust, interpreted, high-level, and general-purpose programming language.
In this training, you will discover why scientists worldwide prefer the ‘Python’ programming language to deal with the ‘Data Science’ issues. Python is easy to learn and more scalable compared to other high-level programming languages. At the beginning of this training, you will learn how to create arrays from Python lists and build structured arrays.
Then you will explore how Python is deployed for Data Science. Progressively, you will learn how to customize colour bars, Matplotlib, ticks, and plot legends. You may choose one among several online learning portals to join such training/courses on Python and Data Science.
Prerequisites
Formally, no prerequisites are mentioned to attend this course
It is expected that you are familiar with at least one or more high-level programming language
You can get the most out of this training if you have the experience of working as a Data Scientist or Data Analyst
What will you gain after this course
Python is an easy to learn programming language, and you can even learn the advanced level of Python without having any prior coding experience.
In the field of Data Science, you have to deal with a large chunk of data frequently. Using Python, you can ensure faster development and processing to extract valuable insights from Data Analysis.
Python programming language comes with many powerful packages for data science like SciPy, Pandas, NumPy, PyBrain, etc.
You can enjoy strong community support while using the Python programming language for Data Science.
It is now possible to build better Data Visualization effortlessly using Python.
Hadoop is another most widely used platform for Big Data. Hadoop is also compatible with Python, and you can access the Hadoop API with the help of the Python package known as PyDoop.
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