The global Data Analytics market in Banking sector was $7.19 billion in 2017 and it is expected to reach $14.83 million by 2023, growing at a CAGR of 12.97% between (2018-2023).
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According to job report 2018 of LinkedIn, job openings for Data Scientists is increasing by 45% year-on-year basis. It's a loud call out for all data aspirants.
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Instagram is the largest photo sharing social media platform. 100 million photos and videos are uploaded on Instagram every day. A massive amount of data is generated and it is not possible for humans to analyze that amount of data. So they use the Python programming language to analyze data.
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Twitter uses R for Data Visualization and Semantic Clustering. Twitter has created some super impressive projects using R. They also have created open-source packages for anomaly and breakout detection, which has helped improve their customer experience.
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SAS (Statistical Analysis System) is one of the most popular software used in the world of analytics & big data. SAS helps in data management, data cleaning and statistically analysing data. SAS certifications offered by the SAS Institute are highly sought after and globally recognized.
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Python was developed by Guido Van Rossum in the late 1980s and early 1990s at the National Research Institute for Mathematics and Computer science in the Netherlands.
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