Why Data Science is the Future – Your First Steps to Get a Demanded Specialization

Never before has humanity produced so much data as it is doing now. It is predicted that the amount of the information will only grow and reach 40 trillion gigabytes by 2020. Such an enormous amount of data has led to the need for processing, classification, and analysis for the most diverse needs of people and businesses.

Thus, a new area of ​​Data Science has arisen. In this short review, we argue why data science is the future and tell you what you can do now to get one of the most sought-after professions of the coming decade.

Current Data Science Examples

Data surrounds us everywhere, and we produce it when we don’t even notice it ourselves. For example, even the most everyday purchase of products in a supermarket generates a certain amount of data about the place, time, products purchased, purchase price, and the person who made it. Analysis of this data allows you to learn more about customers, their solvency and the goods that are sold best.

Also, analysis of huge data sets allows companies to identify behavioral patterns, predict supply and demand, set the most favorable prices and develop personalized offers. It was an example of the use of big data in retail, but in fact, data is now used in all business sectors.

  • In the healthcare sector, data is collected using wearable devices, analyzed using AI systems, and can be automatically transmitted to the attending physician.
  • In the financial sector, huge amounts of data are used to identify behavioral patterns and prevent fraud.
  • In the field of urban development, the data is used to optimize parking spaces, improve traffic, reduce harmful emissions into the atmosphere, reduce the amount of electricity used to illuminate streets at night, to optimize garbage emissions and improve the safety of urban residents.
  • In education, data is used to develop personalized learning plans.

And this is only a very small part of all the examples that can be given in this context.

The Future of Data Science

Each data analysis generates even more data. This is a vicious circle – after we have analyzed a certain array of information, we automatically get another array, on the basis of which a business can build new and new strategies, generating data again and again.

The future of data science is continuous development and growing demand for relevant specialists. More and more companies are becoming aware of the importance of working with big data to optimize their business strategies, improve customer service, develop new products and increase profits as a result.

For this reason, the demand for data science specialists will only grow, companies will create more and more jobs, and it will be possible to work with data completely remotely.

Where to Start Your Data Science Specialist Career?

So, if you want to start learning this profession from scratch, then we recommend that you understand the basics before you start attending Data Science Courses in India. Learn the concept of big data yourself, understand the essence of how it is used for business, watch the videos of experts who talk about it, and only after that start looking for Data Science Courses available in India.

Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Free Course is intended for anyone interested in developing skills to pursue a career in Data Science or Machine Learning.

This free course tells the truth about what Data Science is. … Learn more about why data science, artificial intelligence (AI) and machine learning … An IBM Influencer and Author, Shingai Manjengwa (@Tjido) has a Masters in Business Analytics from NYU Stern. Shingai is also the founder of Fireside Analytics Academy, a registered private high school (BSID: 886528) that teaches high school students to solve problems with data.

Learning Path: Follow the 11 short courses as below mentioned

  1.     Introduction to Data Science
  2.     Data Science Tools
  3.     Data Science Methodology
  4.     Statistics 101
  5.     Predictive Modeling Fundamentals I
  6.     Python for Data Science
  7.     Data Analysis with Python
  8.     Data Visualization with Python
  9.     Machine Learning with Python
  10.     Deep Learning Fundamentals
  11.     Deep Learning with TensorFlow

IBM Cognitive classes is one way to learn Data Science and Machine Learning, and it is absolutely FREE

Also, the good news is that higher education is not always necessary – the technical mindset, analytical skills and the ability to process a large amount of information will be much more appreciated.

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