Introduction to data analytics:
Are you interested in knowing how data analytics works in modern business?
Data analytics is a collective term which is frequently used these days, mainly if
you belong to a cooperative world or if are you looking on any job portal. So, the
question arises, what is data analytics? Data analytics is a process of researching
the data, transfiguration and modification of the previous or present data which
is helpful in better decision making so that we can understand the customers and
market demand. The data are collected from many different platforms and
sources and is categorized in different patterns. The ways used to analyze data
analytics differ from organization to organization. So, if you have an
understanding of business administration and have the capability to explore your
analysis, then you can see a good future in starting a career in data analytics. So,
before you step your foot in data analytics, here is more information.
Do you want to be a data analyst?
Not everybody can be a data analyst. You must have some higher-thinking skills
as well as technical skills. Here are some of those unique skills to become a
successful data analyst.
1. Structured query language (SQL) - This skill is the essential one which is
demanded by the employers. A person having good knowledge of data
analytics works on the software, data and visualization. Putting all these
sub-skills together helps in growing the business. SQL can be said to be the
upgraded version of Excel, and it is a lot easier than any other
programming language.
2. Microsoft Excel- If you think that this skill does not include any tough
work, then you are wrong. It's not that easy, but not that difficult either.
Excel is used in working on small data sets or if you are looking to work on
data analytics as a starter, then your first start on data will be in Excel.
3. Programming- Programming languages like R and Python are very suitable
for handling an extensive database. These two languages can work more
accurately and faster than Excel. These programming languages have a
better position and history in advance research of data and visualization.
4. Higher-order thinking- To grow your company, you need to find out the
solutions of your stored data and for that, you have to think like an analyst.
It is the role of a data analyst to join the connections that are not clear. You
should have those problem-solving skills that can multiply your
productivity in less time.
5. Machine learning- Not every data analyst knows machine learning, and if
someone knows, then it is a plus point for getting placed in a good
company at a higher package. You need to know the statistical
programming first before you learn machine learning for data analytics.
Machine learning is that skill from which one can build a new model and
can apply it practically to earn the profit.
