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Data Analytics Projects: 9 Project Ideas for Your Portfolio

Edureka

In today’s data-driven world, data analytics plays a critical role in helping businesses make informed decisions. As a data analytics professional, building a strong portfolio of projects is essential to showcase your skills and expertise to potential employers. What is the Role of Data Analytics?

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15 Data Mining Projects Ideas with Source Code for Beginners

ProjectPro

In this blog, you will find a list of interesting data mining projects that beginners and professionals can use. Please don’t think twice about scrolling down if you are looking for data mining projects ideas with source code. The dataset has three files, namely features_data, sales_data, and stores_data.

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Transforming Financial Services: GenAI’s Role in Risk Management and Analytics

RandomTrees

Technology is given special attention within the financial services sector owing to the need for constant upgrades to fulfill the needs of the world market. At present, Generative AI (GenAI) is one of the essential instruments that has changed the financial industry, risk management, and analysis of financial data.

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15+ Must Have Data Engineer Skills in 2023

Knowledge Hut

They are people equipped with advanced analytical skills, robust programming skills, statistical knowledge, and a clear understanding of big data technologies. Data Engineering will be prioritized in the coming years, and the number of data engineer jobs will continue to grow.

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Is it easy to switch from Data Scientist to Software Engineer?

Knowledge Hut

The broad discipline of data science is concerned with applying different scientific methods and techniques to analyze both organized and unstructured data. Data science uses and explores a variety of methods, including machine learning (ML), data mining (DM), and artificial intelligence ( AI ).

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Data Science vs Artificial Intelligence [Top 10 Differences]

Knowledge Hut

The insights that are generated through this process of Data Science can enable businesses to identify new opportunities, increase operational efficiency and effectiveness, improve their current strategies to grow their portfolio, and strengthen their position in the market. Python libraries such as pandas, NumPy, plotly, etc.

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Hive vs.HBase–Different Technologies that work Better Together

ProjectPro

HBase and Hive are two hadoop based big data technologies that serve different purposes. billion monthly active users on Facebook and the profile page loading at lightning fast speed, can you think of a single big data technology like Hadoop or Hive or HBase doing all this at the backend?