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Top Data Analyst Courses and Certifications Online for 2023

Knowledge Hut

In just five months, you can learn everything you need to know to launch a lucrative career in data analysis. The credential proves the holder's ability to create and scale data models, clean datasets, and use an analytics methodology that yields insightful data analysis.

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A Collection of Take-Home Data Science Challenges for 2023

ProjectPro

With Bitcoin witnessing initial success, many investors consider cryptocurrency as an asset for their portfolio. By implementing various machine learning algorithms over a dataset of dates, store, item information, promotions, and unit sales, you will be using time forecasting methods to predict the sales.

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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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Top 10 Data Science Competitions of 2024

Knowledge Hut

Host: It is hosted by Google and challenges participants to solve a set of data science problems. Eligibility : Data science competition Kaggle is for everything from cooking to data mining. In addition, you'll need to provide a link to your data set and a video explaining how you used it to analyze the problem.

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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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A Simple and Thorough Power BI Tutorial for Beginners

U-Next

We live in a data-driven world where Business and Data Analytics is a trending science. Analytics is concerned with the discovery, interpretation, and processing of data. However, data and Business Analysts have many tools to select, and determining the ideal option for a particular project can be difficult.

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