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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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15+ Must Have Data Engineer Skills in 2023

Knowledge Hut

If you imbibe these skills in your work and portray them lucratively in your data engineer skills, resume, you increase your chances of grabbing the best job opportunity and building a strong career path. Let us take a look at the top technical skills that are required by a data engineer first: A.

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The Ultimate Map to finding Halloween Candy Surplus

Cloudera

Using Cloudera Machine Learning, the world’s first hybrid data cloud machine learning tooling, let’s take a deep dive into the world of candy analytics to answer the tough question on everyone’s mind: How do we win Halloween? So many factors go into obtaining the best possible candy portfolio. do you like candy A or B better).

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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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How to Become a Business Intelligence Analyst [Updated Career Path]

Knowledge Hut

BI analysts collaborate closely with stakeholders from a range of departments, including finance, marketing, operations, and sales, to identify opportunities for improvement, track key performance metrics, and create data-driven company growth strategies.

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What Does a Machine Learning Engineer Do? [Roles & Responsibilities]

Knowledge Hut

They also work together in teams, with the goal of building and updating software through programming. Here’s a more detailed breakdown of the responsibilities: You are incorporated into different ecosystems to learn and upgrade data science prototypes. You will lead the teams in implementing effective data mining techniques.