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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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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 ? Exploring various big data projects gives a better idea of where your interests lie while working with different analytics tools.

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Career after MBA – Job Opportunities, Salaries, Top Recruiters

Knowledge Hut

The scope of this specialization is vast, ranging from corporate finance to investment banking, portfolio management, risk management, & financial planning. You will learn about data management, data optimization, predictive modeling, & machine learning.

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10 Unique Business Intelligence Projects with Source Code 2023

ProjectPro

Business Intelligence refers to the toolkit of techniques that leverage a firm’s data to understand the overall architecture of the business. This understanding is achieved by using data visualization , data mining, data analytics, data science, etc. methodologies.

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

Smart IoT Infrastructure Aviation Data Analysis Shipping and Distribution Demand Forecasting Event Data Analysis Data Ingestion Data Visualization Data Aggregation Let us discuss them in detail. After preprocessing, cleansing, and data transformation, you will visualize data in various Dashboards.

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How JPMorgan uses Hadoop to leverage Big Data Analytics?

ProjectPro

. “Hadoop's ability to store vast volumes of unstructured data allows the company to collect and store web logs, transaction data and social media data. Hadoop allows us to store data that we never stored before. ”-said Lee McGinty, Head of European Portfolio at JPMorgan.

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Hadoop Use Cases

ProjectPro

These days we notice that many banks compile separate data warehouses into a single repository backed by Hadoop for quick and easy analysis. Hadoop clusters are used by banks to create more accurate risk analysis models for the customers in its portfolio. Hadoop allows us to store data that we never stored before.

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