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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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Data Aggregation: Definition, Process, Tools, and Examples

Knowledge Hut

This article will help you understand what data aggregation is, its levels, examples, process, tools, use cases, benefits, types, and differences between data aggregation and data mining. If you would like to learn more about different data aggregation techniques check out a Data Engineer certification program.

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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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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. Healthcare & Hospital An MBA in Healthcare & Hospital Management prepares students for leadership roles in the hospital & healthcare industry.

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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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15 Sample GCP Projects Ideas for Beginners to Practice in 2023

ProjectPro

Data Mining Applications using Google Cloud Platform Data Mining Applications have become highly essential to solve different real-world problems. Check Out Top SQL Projects to Have on Your Portfolio It also uses Cloud Pub/Sub to receive notifications when data is uploaded in the Cloud Storage Bucket.