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1. Data-Cleaning-Process Data-Cleaning-Process Public

   Cleaning our data is the third step in data wrangling. It is where we fix the quality and tidiness issues that our identified in the assess step. In this training, we'll clean all of the issues we …

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2. Explore-Weather-Trends Explore-Weather-Trends Public

   In this project, we will analyze local and global temperature data and compare the temperature trends where we live to overall global temperature trends. Instructions the goal will be to create a v…

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3. Data_Wrangling_Project Data_Wrangling_Project Public

   Introduction Real-world data rarely comes clean. Using Python and its libraries, we will gather data from a variety of sources and in a variety of formats, assess its quality and tidiness, then cle…

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4. Project-Data-Visualization Project-Data-Visualization Public

   This project has two parts that demonstrate the importance and value of data visualization techniques in the data analysis process. In the first part, we will use Python visualization libraries to …

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5. Business-Analytics-Malaria-Project Business-Analytics-Malaria-Project Public

   This project is aimed at analysis using data visualization in Tableau. , As A large part of working with data is being able to interpret data visualizations and explain our insights to others.

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6. analysis_tmdb_movies analysis_tmdb_movies Public

   Choose one of Udacity's curated datasets and investigate it using NumPy and pandas. Go through the entire data analysis process, starting by posing a question and finishing by sharing findings.

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