The document discusses the increasing demand for data analytics in the 21st century, emphasizing its role in processing and storing big data through frameworks like Hadoop. Data analytics is highlighted as a modern tool that enhances decision-making by extracting knowledge from complex data sets and is deemed essential for various fields, including entertainment. The popularity of data analytics courses, which require knowledge of programming languages such as Python, is noted, alongside potential career benefits for students in this dynamic field.

1. Data Analytics Course:
Fourth Archetype
In the 21st century, the demand for new technologies increases day by day. No one
is interested in the old technology, which is complex and underdeveloped. Due to
increasing demand, the data has also started to grow astronomically. Now when big
data is available, it should also be stored. A framework like Hadoop has solved the
storage problem. But big data must also be processed.
Therefore, data analytics was introduced to solve the problem of big data
processing. There used to be a technology called Business Intelligence (BI). It was
for data processing. But to process big and big data, a tool like BI can't manage
volume. Therefore, data analytics was invented to handle all of these problems. In

2. general, data analytics is the tool that uses scientific methods, processes the given
algorithms, and processes the system to distill knowledge. It also helps extract
information from structured and unstructured data. It has adequate algorithms to
clarify the problems. It is a dynamic programming system. This topic is about
computers, statistics, and information science and mathematics.
It is the fourth archetype of science for its four reasons; because it is based on data,
it is theoretical, it is calculated and it is empirical. Data analytics helps to solve
complex problems empirically. It helps a company to make agile decisions when
managing that company.
Basically, it is like entering a deep mine and extracting all the possible and useful
information. Data analytics makes it possible to collect, store, then analyze and
makes data visualization easy. In computer science, data analytics still refers to
Python, SAS, and R and big data programming. The data analytics course is very
popular today. People are attracted to learning new technologies and gaining
practical experience. The data analytics course is not only popular with students, but
this technology is useful in many fields. Hollywood is an example. Hollywood-created
science fiction movies become reality using data analytics.
A data analytics course is a specialization that helps students ask questions, balance
data sets, and create visualizations to use the results. To learn data analytics, you
must have a Python qualification. It helps students understand the concept of the
course and shows the tools that a data analyst uses. In the data analytics course,
the course is taught in two ways, theoretical and practical. Theoretically, the
theoretical introduction is given. In practical terms, the concepts are explained by
working with different programs where the tools are used.

3. The data analytics course allows you to manage data analytics projects in a software
called GitHub. The skills that are possessed during the study are GitHub, R
programming, machine learning and regression analysis. The average salary for a
data analyst can reach $ 113,436.
One of the largest institutes offering the data analytics qualification course is JUH at
La Coursera. It is a one to two year course.
Data analytics is often said to be the future of more advanced technology, artificial
intelligence (AI). Depending on the increasing pace of technology, this will surely
come one day.
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