Data Science Programing
In this live session on data analytics, we will be taught by
multiple experts about data analytics from basics to advanced
level. We will tell you how to become a data analyst, what are the
skills required for the job and career prospects of a data analyst,
and post that we will learn about pandas and data analysis using
pandas. Later on, we will do a very quick handson demo on how
to create numpy arrays. After that, we will be seeing the
difference between a data analyst and data scientist. Finally, we
will be covering data analyst interview questions and answers.
The field of data analytics is growing rapidly and this is because
the market demand for it is that much so. Data analysts are the
people who sit at the end of the chain and deliver the values by
taking in all the data that data scientists might give it to them
and then they use this person to answer a couple of questions
and then communicate all of the results back.
The data analyst is responsible for bringing in all of the data from
various sources, and there are a couple of types of data analytics
that can be done in today's business case. The data engineer is
the spearhead who handles bringing in the data and making it
understandable by the organization, while the data scientist is
responsible for working on all of these raw data converting it into
valid information. The data analyst performs predictions, sees
trends, and then visualizes the data. They make it presentable for
everyone to understand.
There are certain technologies that are in a boom right now, such
as data science. If you have students who are studying data
science, most of these companies are aimed at making their lives
better. Data analytics is basically a treasure hunt with your data
where you go on finding something and taking insights from your
data. Finding out what's happening to the data and why it's
behaving this way is extremely important. Predictive data
analytics is a very important niche of data analytics, and it
involves predicting the future trends and the possibilities in the
market based on the current trends. The next type of data
analytics is prescriptive data analytics; it involves breaking down
complex information into a simple set of steps. These steps are
In this live session on data analytics, we will be taught by
multiple experts about data analytics from basics to advanced
level. We will tell you how to become a data analyst, what are the
skills required for the job and career prospects of a data analyst,
and post that we will learn about pandas and data analysis using
pandas. Later on, we will do a very quick handson demo on how
to create numpy arrays. After that, we will be seeing the
difference between a data analyst and data scientist. Finally, we
will be covering data analyst interview questions and answers.
The field of data analytics is growing rapidly and this is because
the market demand for it is that much so. Data analysts are the
people who sit at the end of the chain and deliver the values by
taking in all the data that data scientists might give it to them
and then they use this person to answer a couple of questions
and then communicate all of the results back.
The data analyst is responsible for bringing in all of the data from
various sources, and there are a couple of types of data analytics
that can be done in today's business case. The data engineer is
the spearhead who handles bringing in the data and making it
understandable by the organization, while the data scientist is
responsible for working on all of these raw data converting it into
valid information. The data analyst performs predictions, sees
trends, and then visualizes the data. They make it presentable for
everyone to understand.
There are certain technologies that are in a boom right now, such
as data science. If you have students who are studying data
science, most of these companies are aimed at making their lives
better. Data analytics is basically a treasure hunt with your data
where you go on finding something and taking insights from your
data. Finding out what's happening to the data and why it's
behaving this way is extremely important. Predictive data
analytics is a very important niche of data analytics, and it
involves predicting the future trends and the possibilities in the
market based on the current trends. The next type of data
analytics is prescriptive data analytics; it involves breaking down
complex information into a simple set of steps. These steps are
