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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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How to Build a Data Analyst Portfolio That Will Get You Hired?

ProjectPro

Are you seeking a job as a data analyst? Your data analyst portfolio is an opportunity to demonstrate your ability to tell a story, which is a crucial data analyst skill. Data Analyst Portfolio Examples - What You Can Learn From Them? Wrapping Up. jpeg, PDF, PowerPoint, Word, and others).

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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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15+ Must Have Data Engineer Skills in 2023

Knowledge Hut

Who are Data Engineers? Data Engineers are professionals who bridge the gap between the working capacity of software engineering and programming. They are people equipped with advanced analytical skills, robust programming skills, statistical knowledge, and a clear understanding of big data technologies.

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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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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 ).