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Data Science in FinTech: Roles, Use Cases, and Benefits

Knowledge Hut

Over time, FinTech has evolved to disrupt almost all aspects of financial services, including payments, investments, consumer finance, insurance, securities settlement, cryptocurrencies, etc. FinTech companies depend heavily on FinTech data science to simplify financial decision-making and deliver cutting-edge solutions.

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Data Science for Finance: Benefits, Applications, Examples

Knowledge Hut

Data science is the field of study that deals with a huge volume of data using modern technologically driven tools and techniques to find some sort of pattern and derive meaningful information out of it that eventually helps in business and financial decisions. Under this certification, you cover Python/R, statistics, and tableau.

Finance 93
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Real-World Use Cases of Big Data That Drive Business Success

Knowledge Hut

Compliance and Regulatory Reporting: Big data analytics helps banks comply with regulations by analyzing enormous volumes of data to spot any abnormalities or instances of non-compliance, ensuring that regulatory obligations are met. In insurance, big data use cases help with claim management and processing.

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Data Collection for Machine Learning: Steps, Methods, and Best Practices

AltexSoft

Data collection revolves around gathering raw data from various sources, with the objective of using it for analysis and decision-making. It includes manual data entries, online surveys, extracting information from documents and databases, capturing signals from sensors, and more.

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Data Scientist roles and responsibilities

U-Next

After understanding what Data Science is and its fundamental principles, what else do we need to discuss? What is a Data Scientist? A Data Scientist is skilled in concluding data using various systems, procedures, and algorithms. The people who have inquiries about data are known as Data Scientists.

Retail 52
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Top 20 Data Analytics Projects for Students to Practice in 2023

ProjectPro

Table of Contents Skills Required for Data Analytics Jobs Why Should Students Work on Big Data Analytics Projects ? Microsoft Excel: A successful Excel spreadsheet helps to organize raw data into a more readable format.

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Top Hadoop Projects and Spark Projects for Beginners 2021

ProjectPro

Hadoop can be used to carry out data processing using either the traditional (map/reduce) or Spark-based (providing an interactive platform to process queries in real-time) approach. Given a graphical relation between variables, an algorithm needs to be developed which predicts which two nodes are most likely to be connected?

Hadoop 52