Showing posts with label what is big data. Show all posts
Showing posts with label what is big data. Show all posts

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What is Data Science? Scope and Career Opportunities

Data Science is trendier nowadays. The name “Data Science”, I think heard by many people. Data refers to information and Science refers to a study of extracted information. So the term Data Science refers to extract information or knowledge from the available data. Many categories come under the Data Science those are machine learning, deep learning, NLP, Python, artificial intelligence, etc.

Data Science is a process where we understand the data, extract information and use it to make a meaningful product out of it. On the basis of this meaningful product, business decisions are made on. Data analyzed by data scientists is called big data. This big data is drawn from many resources and this big data can be divided into two kinds, one is structured data and other is unstructured data. Structured data is easy to understand, sort, read, organize and analyze. A few examples of structured data are data collected from phones, sales data, data related to accounts, website traffic, etc. Whereas unstructured data we can describe as emails, photos, videos, customer reviews, media posts or we can say human input. Unstructured data is very typical to understand, sort, process and analyze. Unstructured data also requires a big investment to manage.
Generally, companies hire data scientists to manage this unstructured data but it is not like that they have to manage unstructured data only, they have also to deal with structured data.

Data Science as a career option: -

Data Science is a fast-growing field, job opening has increased by 75% from 2015 to 2018, even though searches for data scientists' jobs have also increased by 65% in the same span of time.
As we know data shape the business, and for the fast-growing business, there is a need to analyze data and make a meaningful sense of the information. Data science is also helpful for E-commerce as they used to collect more than purchase data, data scientists help to improve customer service and also help to develop products and services. Also in a finance industry data scientists helps to secure data, fraud detection and other major concerns related to debit cards, credit cards and other account transactions. In a social networking field, data science is helping to improve customer satisfaction, establish trends and also helpful to enhance features and other services.

Data Scientist should have the following skills: -

ΓΌ Data scientists should be an expert in programming, as it improves statistics skills, helps to analyze data.
ΓΌ Quantitative skills are also important for data scientists. It helps to scale your data strategy and implementing machine learning.
ΓΌ Product intuition is also an important skill as this helps you to predict system behavior and improve debugging skills.
ΓΌ  Communication an important skill for every industry and every individual.
ΓΌ Teamwork is also necessary to be a data scientist.

Big Data Training in Pune

Big data technologies are very essential for providing more accurate analysis, which lead to more solid decision making result and cost reductions risks for any business. To handle the power of Big Data, we need to an infrastructure that can process and manage huge volume of data in real-time and protect the privacy and security of these data collections. You can join Big Data Training in Pune to know and learn about big data. Big data is all about to a large amount of data.

Big Data Training in Pune
Big Data Training in Pune

Big Data is a collection of large data-sets that can't be handled using old computing techniques. To handle Big Data we have to use various tools, techniques, and frameworks which are involved in this techniques. Big data is so critical to managing and procedure and it is one of the most important technologies in the modern world.

The career in Big Data and Hadoop Technology - Read the article on Big Data Certification in Pune

Examples for Big Data Collection:-

Big data produced by different-different applications and devices. Here are some of the areas that come under the Big Data zone.
  • Search Engine: Search engines like Google, yahoo or Bing retrieve lots of information from different databases.
  • Social Media: Social media such as Twitter and Facebook holds the information and the views posted by billions of people across the world.
  • Stock Exchange: The stock exchange data collect the information about the sell and buy decisions on a share market which is generate a big amount of information.
  • Transport: Transport data includes distance, availability, model and capacity of a vehicle.

Deep Learning with Python “Data Science Training in Pune”

  Deep learning is also known as deep structured learning. It is part of a broader family of machine learning methods based on learning data...