Data science is an interesting field with a high demand for
skilled professionals in this field. We 'll see everything about
data science end to end but before we get started make sure
to hit the like button and subscribe to our Channel. This video
includes content on how data scientists should create their
resume and data science interview questions and answers.
Google Maps collects data every day from a multitude of
reliable sources that primarily includes smartphones. The
demand for skilled Professionals in this domain is also
increasing drastically in order to uncover useful intelligence for
their organizations data scientists must master all the aspects
of data science. Social media and iot will generate more than
500 zettabytes of data per year. Data science is all about
extracting the useful insights from data and using it to grow
your business. Walmart is the world 's biggest retailer with
over 20 000 stores in just 28 countries. The reason behind
Walmart 's success is how they use a customer data to get
useful insights about customers shopping patterns.
Walmart analyzes data generated by social media to find out
what products are trending. Walmart analyze social media data
to find that Facebook users were crazy about cake pops. Netflix
analyzes movie viewing patterns of users to understand what
drives user interest and to see what users want to watch and
then once they find out they give people what they want. A
data scientist is someone who experiments with data and has
certain tools and Technologies at his disposal to draw insights
and meaningful patterns from this data. These tools and
technologies have been listed here and we will cover first
machine learning. Data scientist is required to build and test
and iterate the machine learning models so iteration requires a
lot of repetition repetitive experiments with the data. The
Technologies to learn for a data scientist are programming
language it could be either python or R machine learning deep
learning and NLP Concepts which need to be very clear and
solid foundation of the same. Another technology to learn is
statistics that is both descriptive and inferential another
technology is database knowledge of SQL and nosql and Big
Data Big Data the knowledge of hadoop 's Park any one of
them is required so now let 's cover these Technologies in
detail.
Researchers is also preferred in the data science community
and data scientists work with Researchers has very strong
skilled professionals in this field. We 'll see everything about
data science end to end but before we get started make sure
to hit the like button and subscribe to our Channel. This video
includes content on how data scientists should create their
resume and data science interview questions and answers.
Google Maps collects data every day from a multitude of
reliable sources that primarily includes smartphones. The
demand for skilled Professionals in this domain is also
increasing drastically in order to uncover useful intelligence for
their organizations data scientists must master all the aspects
of data science. Social media and iot will generate more than
500 zettabytes of data per year. Data science is all about
extracting the useful insights from data and using it to grow
your business. Walmart is the world 's biggest retailer with
over 20 000 stores in just 28 countries. The reason behind
Walmart 's success is how they use a customer data to get
useful insights about customers shopping patterns.
Walmart analyzes data generated by social media to find out
what products are trending. Walmart analyze social media data
to find that Facebook users were crazy about cake pops. Netflix
analyzes movie viewing patterns of users to understand what
drives user interest and to see what users want to watch and
then once they find out they give people what they want. A
data scientist is someone who experiments with data and has
certain tools and Technologies at his disposal to draw insights
and meaningful patterns from this data. These tools and
technologies have been listed here and we will cover first
machine learning. Data scientist is required to build and test
and iterate the machine learning models so iteration requires a
lot of repetition repetitive experiments with the data. The
Technologies to learn for a data scientist are programming
language it could be either python or R machine learning deep
learning and NLP Concepts which need to be very clear and
solid foundation of the same. Another technology to learn is
statistics that is both descriptive and inferential another
technology is database knowledge of SQL and nosql and Big
Data Big Data the knowledge of hadoop 's Park any one of
them is required so now let 's cover these Technologies in
detail.
Researchers is also preferred in the data science community
and data scientists work with Researchers has very strong
