With an increase in the amount of data that can be found on the internet, Python too has seen a huge boom in use recently (from 9% in 2010 to 25% in 2020). This in turn has led to an increase in job opportunities for data scientists, machine learning engineers and data analysts (the average salary is pretty good too).
Basically, Python has been popular in the world of data science for a while now and hence, is an in-demand skill in the tech industry.
To perform any data science based task in Python, one needs to import packages, also called libraries. These packages help you achieve what’s desired in an efficient manner, making your job easier. Packages are basically the Robin to your Batman, except in this case there are way too many Robins, some good, some great, some…. well they get the job done.
In this story, I attempt to be your Alfred and help you screen and find the Robins that are of paramount importance when it comes to data science and will help you achieve your goals, based on my experiences and explorations.
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In this Data Science With Python Training video, you will learn everything about data science and python from basic to advance level. This python data science course video will help you learn various python concepts, AI, and lots of projects, hands-on demo, and lastly top trending data science and python interview questions. This is a must-watch video for everyone who wishes o learn data science and python to make a career in it.
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For this week’s data science career interview, we got in touch with Dr Suman Sanyal, Associate Professor of Computer Science and Engineering at NIIT University. In this interview, Dr Sanyal shares his insights on how universities can contribute to this highly promising sector and what aspirants can do to build a successful data science career.
With industry-linkage, technology and research-driven seamless education, NIIT University has been recognised for addressing the growing demand for data science experts worldwide with its industry-ready courses. The university has recently introduced B.Tech in Data Science course, which aims to deploy data sets models to solve real-world problems. The programme provides industry-academic synergy for the students to establish careers in data science, artificial intelligence and machine learning.
“Students with skills that are aligned to new-age technology will be of huge value. The industry today wants young, ambitious students who have the know-how on how to get things done,” Sanyal said.
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Python is the most widespread and popular programming language in data science, software development, and related fields. The simplicity of codes in Python, which helps learners avoid any confusion, is the key to this popularity. Python has constantly been developing, and it keeps getting updated for more ease in using. With 137,000 plus libraries and tools, Python has always provided its users with the solutions to problems of any complexity level. This reason makes Python the ideal language for Data Science operations. This article focuses on some of the essential and must-learn libraries in Python used heavily by Data Scientists. I have tried to cover different libraries used in various stages of a data science cycle, such as Data Mining, processing and modeling, Data Visualization.
Learn Data Science in Python from here!
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Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.
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