Data Science — A Door To Numerous Opportunities
By: Cognitior Learning
Tags: Python, Big Data, Data Science, Data, Data Visualization

Data Scientists have staying power in the marketplace and they make valuable contributions to their companies and societies at large.

Today, Data Scientists have become more important than ever. The reason being they can frame better business goals, make effective decisions and identify the opportunities better. The scope of Data Science includes organizations in banking, healthcare, energy, telecommunications, e-commerce, and automotive industries among many others.

The main components involved in Data Science are Organizing, Packaging and Delivering data. Data Science overall is a multidisciplinary blend of data inference, algorithm development, and technology in order to solve complex analytical problems.

A Data Scientist must know what could be the output of Big Data he or she is analyzing. He/she should clearly know how the output could be achieved with what is available.

To achieve this, a Data Scientist is required to follow these steps:

Step 1: Collect huge data from multiple resources

Step 2: Perform research on complicated data available and frame questions that need to be answered

Step 3: Clean the huge volume of data to chuck irrelevant information

Step 4: Organize data into a predictive model

Step 5: Analyze data to determine the trends and opportunities and recognize weaknesses

Step 6: Produce data-driven solutions to conquer challenges

Step 7: Invent new algorithms to solve problems

Step 8: Build new tools to speed work

Step 9: Communicate predictions from the analyzed data in the form of charts/reports/visualizations Step 10: Recommend effective changes to fix the existing strategies

Step 10: Recommend effective changes to fix the existing strategies

Data Science — The Future Lies Here

Help Companies Make Progress With Data

Many organizations collect data regarding customers, website interactions and much more. But according to a recent study by Gemalto 65% of organizations can’t analyze or categorize all the consumer data they store. And, 89% of companies admitted the ability to analyze data effectively would provide them with a competitive edge in their industry.

Being a Data Scientist, you can help companies excel with the data they collect.

Better Career Opportunities

Among the most promising jobs of the year 2019 on LinkedIn based on LinkedIn data, Data Scientist has topped the list, with an average salary of $130,000.

The ranking was done on the basis of 5 components and these are Salary, Career Advancement, number of job openings in the U.S., year-over-year growth in job openings, and widespread regional availability.

Astonishing Amount of Data Growth

We generate data daily, but never really think about it. According to a study Today, more than 5 billion consumers interact with data every day, and by 2025 the number will be 6 billion i.e. 75% of the world’s population. In 2025, each connected person will have at least one data interaction every 18 seconds. Many of these interactions are because of the billions of IoT devices connected across the globe, which are expected to create over 90 ZB of data in 2025.” — The Digitization of The World

Data is at the heart of digital transformation, the lifeblood of the digitization process. Today, companies are leveraging data to improve customer experiences, open new markets, make employees and processes more productive, and create new sources of competitive advantage — working towards the future of tomorrow.

From a global perspective, India is only second to the USA to recruit Data Science professionals. If you aspire to become a Data Scientist, enroll in our courses and transform your dreams into reality!