Hello there!! I cordially welcome everyone who has come to read the continuation of data science and internship at abhyaz blog series. In the previous Blog we have discussed what is Data science? its advantages, disadvantages and its applications. In this blog we are going to see WHAT IS BIG DATA ? and what is the difference between data science and big data? and the scope and roles you will get after completing data science. Let's jump into it quickly.
WHAT IS BIG DATA ?
It is enormous, vast, or voluminous data, information, or the pertinent statistics that big businesses and endeavours have collected. Since it is challenging to manually calculate the huge data, several software and data storages have been developed and constructed. It is used to find patterns and trends, as well as to decide on human behaviour and technological interactions.
DIFFERENCE BETWEEN BIG DATA AND DATA SCIENCE :
SCOPE OF DATA SCIENCE :
Every year that goes by, data science's application domain expands. People all throughout the world have entered the digital era between 2008 and 2020. The exponential rise of data offers a preview of India's potential for data science in the future.
ROLES OFFERED AFTER DATA SCIENCE :
BUSINESS INTELLIGENCE DEVELOPER
MACHINE LEARNING ENGINEER
RESEARCH SCIENTIST,DATA SCIENTIST Are the various roles offered for data science students.
WHO CAN BE A DATA SCIENTIST ?
Although ABHYAZ provides a comprehensive DATA SCIENCE INTERNSHIP that might help you become an expert in the field, coupled with an industry-relevant certification, there is currently no set degree for anybody to graduate as a data scientist. The majority of widely used data analytics claim that with practice, one becomes proficient in data science. In this industry, experience is more important than education.
Anyone can have a great Data Science future if he/she has the quality to understand millions and millions of data and can analyse it to make a business successful. The role of the Data Scientists is vital because they need to find out both the problem and the solution.
Have you ever been lost on the road with no idea of how to get from point A to point B?
Have you ever been lost on the road with no idea of how to get from point A to point B? Data science is the process of going from big data sets to decision-making. Data scientists use various methods and techniques borrowed from statistics, mathematics, machine learning, information architecture and programming.
Data Science Intern: What do I need to know?
This internship offers an opportunity for students in their final year of undergraduate studies (or early postgraduate) to gain hands-on experience with data science at a global scale. You will work alongside experienced professionals in their field who will help teach you how they approach problems every day.
Are there any applications that give you this information?
Google Maps. This is a great way to see what the area you're visiting looks like, and it's also a great tool for planning your day.
Google Search. If you want to know what something is called in another language, go to Google Translate and type in the word or phrase that you're looking for! There are also some other useful features like searching for nearby places of interest (like museums) or finding information on specific items (like books).
Google Music: This app lets users stream music from their computer onto their phone through Wi-Fi or 3G/4G networks, as well as play songs stored locally on their device—all without having any subscription fees associated with streaming services like Spotify or Apple Music! It's free too!
Transliteration: This feature allows users who speak multiple languages at home or school get access
Data Science is the use of a variety of techniques, tools, and algorithms with the goal of gaining knowledge from organised and unstructured data that will be useful for making decisions.
Big data sets are the starting point for data science, which leads to decision-making. It makes use of a variety of approaches, strategies, and resources that are taken from statistics, arithmetic, and machine learning. In order to examine the obtained data using all of these tools, data scientists must be at ease with both programming and statistical methods.
Natural Language Processing (NLP), machine learning algorithms, and other techniques used by data scientists are all based on mathematical models or statistical methods.
Data Science is an application of various methods using tools and algorithms with a motive to derive insights from structured and unstructured data which will prove beneficial for decision making.
1. Market size of the Data Science Industry?
Market is expected to grow at a CAGR of 29.7% to $40.6 billion by 2023.
The Data Science Industry is the in-demand industry with no sign of slowing & generating huge employment opportunities.
Nowadays, data driven careers are in-demand, businesses are hiring skilled professionals to cater the demand of the industry.
India is currently among top 10 big data analytics markets in the world.
2.Top skills which you will learn?
Statistics Analytics, Technical Skills using Python, Machine Learning, Data Visualisation, Big Data Analytics techniques.
3.Reasons to pursue careers and internships in Data Science ?
Evolving Field with huge employment opportunities
A highly paid career
Data Science is Versatile
Industry demanding skilled professionals
Huge employment opportunities
4.How ABHYAZ helps to improve your employment opportunities ?
Finding an internship that will help you achieve your professional goals will also make you a more competitive candidate in your future job hunt. ABHYAZ Internships are meant to prepare applicants for future employment and professions. Build a Solid Relationship with Your Company.