Data analysis is defined as a process of cleaning, transforming, and modeling data to discover useful information for business decision-making. The purpose of Data Analysis is to extract useful information from data and taking the decision based upon the data analysis. The major data analysis approaches are − Data Mining, Business Intelligence, Statistical Analysis, Predictive Analytics, Text Analytics. In this course, you will be learning some of the Data Analysis Techniques
Python is a general-purpose coding language—which means that, unlike HTML, CSS, and JavaScript, it can be used for other types of programming and software development besides web development.
That includes back end development, software development, data science and writing system scripts among other things.
This course is a great introduction to both fundamental programming concepts and the Python programming language.
Computer Networking Web development is the process of building websites and applications for the internet, or for a private network known as an intranet. Web development is not concerned with the design of a website; rather, it’s all about the coding and programming that powers the website’s functionality. From the most simple, static web pages to social media platforms and apps, from ecommerce websites to content management systems (CMS); all the tools we use via the internet on a daily basis have been built by web developers. Web development can be broken down into three layers: client-side coding (frontend), server-side coding (backend) and database technology
Individual training is defined as a process of cleaning, transforming, and modeling data to discover useful information for business decision-making. The purpose of Data Analysis is to extract useful information from data and taking the decision based upon the data analysis.
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