Scope of Data Science in the Future

data science

Hey Guys, If I say that the Scope of Data Science will increase rapidly in few years then will you believe me? Today I will tell you everything about Data Science. The most common use of Data Science is in our daily life as a Recommendations Engine. Whenever you visit Amazon, Netflix, and some other websites then you have seen recommendations saying “Things you may like”. So it’s a classic example of Data Science. And according to Forbes Report, Job Opportunities for Data Scientist have increased by over 650, so becoming a Data Scientist will be the hottest job.

What is Data Science?

In simple Language, Data Science is a combination of data analysis, programming, mathematics, statistics, and machine learning. Data Science uses advanced algorithms and scientific methods to extract information and insights from large datasets. And Machine Learning has added fuel to the growth of Data Science.

Uses of Data Science-

As I told you earlier that its main use is in our daily life as a Recommendation Engine. Data science is also used in business, education, health, industries.

 Also here are some major use of Data Science-

  • Medical Image Analysis
  • Genetics & Genomics
  • Drug Development
  • Virtual assistance for patients and customer support
  • Internet Search
  • Targeted Advertising
  • Website Recommendations
  • Advanced Image Recognition
  • Speech Recognition
  • Airline Route Planning
  • Gaming
  • Augmented Reality and much more….

Why learn Data Science?

I will give 4 reasons through which you can understand the benefits of Data Science.

An advanced and high-paying career

Data Science is a highly advanced and high paying field. And professionals in this field make big money. The average salary of a Data Scientist in India is Rs.6,99,928 and the average salary of a Data Analyst is Rs. 4,04,924. And the best part is that the Data Science Scope is growing rapidly all over the world and as I say it can become the hottest job for you.

Demand-Supply Paradox

As you all know that demand for professionals in Data Science, Machine Learning, and Artificial Intelligence is on the rise. And according to a report IBM says that by 2021, Data Science will take up 28% share of all digital jobs. But unfortunately, the job vacancies remain vacant due to a lack of talented applicants.

Data is the fuel of 21st Century

As you, all know that Data Scientist helps to grow a business by targeting the niche to the audience.  Without data, they would not be able to do this. According to Simon Quinton, “If Analytics is the Engine, then Data is the fuel of the 21st century.” Data Scientists create a personalized list to improve customer satisfaction. So this all could not be possible without Data Science.

Highly Flexible With an abundance of positions-

There are plenty of Vacant positions to be filled as a Data Science Job. But due to a lack of talented applicants, these positions remain vacant. Data Science helps Organizations, Businesses to get closer to customers. Data Science is a less saturated, high paying, and growing field.

Jobs under Data Science-

For freshers, it may include business analysts, data scientists, statisticians, or data architects. And for experienced it includes-

Data Engineer/ Data Architect – Data engineers/architects develop, construct, test, and maintain highly scalable data management systems.

Business Analysts– Business Analysts use predictive, prescriptive, and descriptive analyses to transform complex data into easily understood actionable insights for the users.

Machine Learning Engineer– Machine Learning Engineers have to design and implement machine learning applications/algorithms/ to address business challenges.

Data scientist– Data Scientists have to understand the challenges of businesses and offer the best solutions using data analysis and data processing.

Statistician- They Interprets the result, along with strategic recommendations or inclusive predictions, using data visualizations tools or reports…..and much more

Top Recruiters of data Scientists-

  • Flipkart
  • Amazon
  • IBM
  • LinkedIn
  • Walmart Labs
  • Busigence Technologies
  • Mate Labs
  • Couture
  • Fractal Analytics
  • Sigmoid

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