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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 22 Data Science Applications That You Should Know

Knowledge Hut

Overnight, data science 's potential exploded. All thanks to scholars who combined statistics and computer science for data analysis, quick processing, inexpensive storage, big data, and other factors. To remove meaningful data from enormous amounts of data, processing of data is necessary.

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50 ML Projects To Strengthen Your Portfolio and Get You Hired

ProjectPro

Each project explores new machine learning algorithms, datasets, and business problems. The dataset contains three weeks of activity data on each driver like login time, number of hours active each day, date, and driver details like driver gender, age, id, number of kids, etc. All the activities were tracked and video recorded.

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Data Science Learning Path [Beginners Roadmap]

Knowledge Hut

Understanding what defines data in the modern world is the first step toward the Data Science self-learning path. There is a much broader spectrum of things out there which can be classified as data. For some, it does not matter what the data is about. For some of us are more inclined towards a particular domain of data.

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Top 15 Power BI Project Ideas

Knowledge Hut

No matter if you're just a beginner, intermediate, or advanced Power BI user, you can build up your portfolio by doing these projects. Power BI projects cover a wide range of industries and data analysis scenarios, allowing you to gain experience in different contexts. Practice Dataset Student Result 5.

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Real-World Use Cases of Big Data That Drive Business Success

Knowledge Hut

Go for the best Big Data courses and work on ral-life projects with actual datasets. Big Data Use Cases in Industries You can go through this section and explore big data applications across multiple industries. Real-time Data Processing and Decision-making: It is made possible by cloud-based big data analytics tools.

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How to Become a Machine Learning Engineer in 2024?

Knowledge Hut

They have to choose the most appropriate datasets for analysis before proceeding with the modeling. A machine learning engineer has to figure out the differences in data distribution, which can further lead to errors in model performance. Knowledge about the following topics can give you an edge over others.