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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+ Must Have Data Engineer Skills in 2023

Knowledge Hut

Technical Data Engineer Skills 1.Python Python Python is one of the most looked upon and popular programming languages, using which data engineers can create integrations, data pipelines, integrations, automation, and data cleansing and analysis. Explore and pursue portfolio-building opportunities.

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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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Data Analyst Interview Questions to prepare for in 2023

ProjectPro

Data Analyst Interview Questions and Answers 1) What is the difference between Data Mining and Data Analysis? Data Mining vs Data Analysis Data Mining Data Analysis Data mining usually does not require any hypothesis. Data analysis involves data cleaning.

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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.