Data science adds meaning to arrays of data, helping form decisions based on this data. To achieve this, it is assisted by various tools and services such as machine learning, big data, cloud computing, data mining, and more. These technologies are implemented through coding languages such as Python, Java, R, and more.
On an average, the world creates (1010 GB) on a daily basis. This heap of data plays a crucial role for the data scientists. It wouldn’t be an understatement that data science would define the way the world works in the future.
When speaking about the need for data scientists, a lot of data is semi-structured or unstructured today. Surveys suggest that about 80% of the data will be unstructured by the year 2020. This data would comprise text files, multimedia forms, financial logs, and data from various other sources. The traditional BI tools would no longer be capable of processing such high volume data, creating a need for effective complex analytical tools for processing meaningful insights from this data.
Want to know more interesting about data science and how it could help you shape your career in the field? Join our live free webinar on “Understanding the world of Data Science” on 15 November 2019 at 7:30 PM IST.
The webinar will cover:
- Introduction to data science
- The need of data science
- What does a data scientist do?
- What you need to learn?
- Python for data science
- Q&A
