May 2020 | What After College

Monthly Archives: May 2020

Top 7 Training Institutes of Big Data in Bangalore

Top 7 Institute of Big Data

Big Data is one of the most trending technologies that exists today. Every organization – Small to Large, require to deal with Big Data and analyze them in order to succeed. Youngsters are keen on learning about this emerging technology. Learning Big Data can prove to become fruitful for your career as well. That’s true! […]

What types of Programming Languages are used in Data Science?

Programming Languages in Data Science

For 256 programming languages accessible today, it can be daunting and challenging to determine which language to know. Hence, many types of programming languages function best for game development and some work better for software engineering, and others work better for data science. Python In a new global poll, 83 per cent of the almost […]

What are the steps to become a good Data Scientist?

Steps to become a good data scientist

Data science, as tempting as it is, is not an easy profession to pursue. It needs certain heavy pre-requisites in many ways. People with excellent computer experience, math and technology passion have strong chances to become a data scientist. Following are the steps of becoming a good data scientist: What is Data Science? Data science […]

The Age of Analytics

The Age of Analytics in data science

The promise of big data just keeps on rising in the age of analytics. Hence, take full account of this ensures that businesses have to incorporate science into their approach. So, they make smarter and faster decisions with it. With rapid technological change, it is increasingly necessary for businesses to merge their processes and policies […]

Advantages of Mobile Testing

Advantages of mobile testing android and apple

Mobile testing is a service providing a research technique for those apps or websites that target users of mobile devices. Although, these can involve native or hybrid applications or websites which will be accessed on mobile devices. Advantages of Mobile testing involves the simple practical test which is often carried out. You can’t just get […]

What kind of jobs you can do with Python?

What kind of jobs you can do with Python?

Python is the most popular programming language in all sorts of software developments. It is the most in-demand programming language and is sought the most by the employers. Python can be used in web development, software development, app development, game development, data science, machine learning, AI, and whatnot. Also, python is the main working language […]

Data Wrangling

The importance of data wrangling

On the off chance that you have been following data science or have some involvement with the field. Then you will no uncertainty have known about data wrangling previously. Data wrangling can offer numerous advantages to data researchers, however many are as yet ignorant of how it can help them in their investigation. Whenever actualized […]

How To Use Instagram For SEO

Search engine optimization (SEO) requires a perplexing and multifaceted methodology. With Google guarding its calculation intently, SEO strategies depend on broad research and consistent updates. While social media platforms, for example, Instagram aren’t as of now a particular positioning variable. You will get good results if you use Instagram for SEO. Search engines are continually […]

Mobile Testing Tools

Some Mobile testing tools

QA engineers use mobile automation testing methods or tools to enable interactions between test codes and the application in question. The problem is how to run automation experiments on mobile devices. There are three possibilities. From mobile devices located live: For real USB-connected devices QAs can check the operability of an app from the viewpoint […]

Why Is Everyone Doing Machine Learning

Why Is Everyone Doing Machine Learning

Why is everyone doing Machine Learning now, and it is possible and practical at last. Exponentiation in the amount of data. And also, incredible advancements in hardware gave life to ML concepts that once existed only in texts. To be successful in machine learning, it requires a lot of data. Recent innovations in data collection […]

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