Data Science Online Training:

Artificial Intelligence is going to mark the future of Data Science. So, let’s understand the importance, uses and advantages of Data Science for every organization and business.

What is Data Science?

The simplest definition of Data Science is the study of Data. Data Science involves extracting effective information on developing methods, storing and analyzing the data as per the business need. The main objective of Data Science is to gain absolute knowledge of data for both structured and unstructured data.

Why Data Science is in Demand Now?

Professionals of Data Science are usually referred to as “Data Scientists.” Data Science boom is extraordinary without a look-back. Data science skills have fueled by big data and AI has rapid growth in employment according to the industry aspects. It is considered as the best time to enter the job market to be a Data Scientist.

The obligation of Data Science in every industry is increasing which is leading in opening up the employment opportunities everywhere. There are various Training centers, Data Science online Training platforms who teach Data science, its tools and methods to grab the best job in the market.

Why Industry Needs Data Science Now?

Data Science, the most prominent Technology is emerging the world with its demand. As this era entered into big data the necessity of data storage also increases rapidly. The focus of storing data is concerned as the biggest challenge for the industries until 2010.

In initial days, the main focus of Data Science is to get a solution for storing the data by building frameworks. When Hadoop and other frameworks solved the storage problem the focus of Data Science is shifted to processing the data.

The role of Data Science is to extract perfect insights from the large and complex sets of data in the industry. In the traditional days, data used is small in size and structured which can be easily analyzed by using the BI tools.

Unlike the traditional and structured data, today most of the businesses and industries are having unstructured or semi-structured data. Therefore to get the simplest insights Data Science came to existence for every industry. As per the few reports, by 2020 the unstructured data can rise more than 80% in every business.

Where Opportunities in Data Science lies?

The Data Science career is mostly influenced by the following key trends:

• Data Explosion
• Growth of Internet of Things
• Social Media
• The upswing on machines and machine learning technologies

Explore Data Science opportunities everywhere around the globe. There are various scopes in data science to make your career in Data Science such as:

• Business Intelligence (BI) Developer
• Data Architect
• Infrastructure Architect
• Data Scientist
• Enterprise Architect
• Data Engineer
• Applications Architect
• Data Analyst
• Machine Learning Engineer
• Machine Learning Scientist
• Statistician and many other options

>What Are the Prerequisite Skills to Learn And Become A Data Science?

You might have witnessed various online portals claiming of possessing expert skills, in various IT fields like software development, machine learning, statistics, data visualization, programming, mathematics, database query languages, etc. This looks like too many and discourages many of us.

But, the fact is to start a career as a data scientist a person should have zeal, potential, strong communication skills, and passion to learn and settle in Data Science Career. Along with soft skills, one must possess the following technical skills:

• Programming Knowledge on languages like Python, Perl, C/C++, SQL, Java and others
• Analytical tools knowledge like SAS, Hadoop, R, Apache Spark, Machine Learning, Hive and others
• Adaptive working skills on unstructured data and other required skills

Industries using Data Science:

Every Industry around the globe is requires Data Scientists, here is the list of top 10 Industry where Data Science is vastly in use:

1. Healthcare and Pharmaceutical
2. Telecommunications
3. Banking
4. E-Commerce
5. Gaming
6. Finance
7. Internet
8. Insurance
9. Energy
10. Automotive

statistics and Analytics about Data Science impact on industry services:

• AIM(Analytics India Magazine) along with Praxis Business School studied Data Science and its impact says, the Data Science analytics industry has grown to $3.03billion in size in the year 2019 and doubles the ratio by 2025
• A report generated by AIM claims to have a estimated revenue of $2.71billion annually for both Data Science and Big Data industries
• According to a survey current Indian market in Data Science analytics stands at $30Billion
• According to a study, the average tenure of professional analytics in Indian firm is 3.4 years whereas public sector banks have 5 years and E-commerce has 2.5 years tenure.
• A study held across India says, approximately 96,000 jobs are available in Data Science currently in India in various firms
• Job opportunities for fresher's also increased to 21% in 2019 compared to 17% in 2018 in the respective industries

What is R and Python and relation to Data Science:

What is R?

R is a programming Language and environment helps in statistics and graphics. R implements wide divergences on graphical and statistical techniques. It is a part of GNU project which is similar to S language with a major difference in coding.

R's popular strength is to produce the simplest form of well-designed publication-quality plots including formulae and mathematical symbols. R can be found for FREE under the terms of " Free Software Foundation’s GNU General Public License." It runs on multitudinous platforms like UNIX, FreeBSD, Linux, Windows and MacOS.

What is Python?

A Python is an Object Oriented Programming Language developed by Guido Rossum in 1989. It is initially designed to prototype complex applications. It includes an interface to various OS system calls, libraries and is extensible to C, C++.

Python is majorly used in Artificial Intelligence, Natural Language Generation, Neural Networks and many other Computer Science advanced fields.

R and Python's relation to Data Science:

Both R and Python are excellent tools useful for Data Science. When it comes to Data Scientists there is still a debate among R Vs Python. Both perform and can be used in the prefect way in Data Science, the slight difference among them varies.

When you attend any meetup, conference or Bootcamp you may encounter in the discussion between R and Python, which is the best for Data Science. The comparison always varies industry to industry. The main aspects to check the impact of R and Python are in Data Visualization, Modelling Libraries, Ease of Learning the language, community support, etc.

At the end, Python is a programming language and R is a tool, when it comes for the fresher's or beginners many experts suggest to start learning with R and ones you get proficiency in R, transmit yourself into python and use according to the industry need and market scope.

Conclusion:

Unlock the biggest possibilities of Big data via Data Science. Be the most hankering job holder by choosing the best career path with no delay. Join the top Data Science online training and mould your career in the best possible way!