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Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie data.

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• 4.2+
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Use your data manipulation skills to perform exploratory data analysis on a dataset around student mental health.

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• 4.3+
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Get up to speed with notebook based projects. This will prepare you for your first Python, SQL & R projects.

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• 4.2+
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Use data manipulation and summary statistics to analyze test scores across New York Citys public schools!

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• 4.0+
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Explore a dataset containing a centurys worth of Nobel Laureates. Who won? Who got snubbed?

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• 4.2+
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Tidy a bank marketing campaign dataset by splitting it into subsets, updating values, converting data types, and storing it as multiple csv files.

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• 4.3+
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Write SQL queries to answer interesting questions about international debt using data from The World Bank.

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• 4.0+
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Reanalyze the data behind one of the most important discoveries of modern medicine: handwashing.

• БазовыйУровень мастерства
• 4.1+
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Define functions to catch errors when new users register for an app!

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• 4.2+
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Use SQL to explore and analyze GoodThought NGOs database, uncovering key insights from over 13 years of transformative projects.

• БазовыйУровень мастерства
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Use SQL to analyze a database containing information about Transport for London journeys over 12 years!

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Explore local and global fitness trends to identify product niches. Investigate online interest in gyms, workouts, digital services, and web apps.

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Test your Data engineering skills by creating a data pipeline to analyze E-commerce business of Walmart!

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Arctic Penguin Exploration: Unraveling Clusters in the Icy Domain with K-means Clustering

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Apply your data importing, cleaning and manipulation skills to explore New York City Airbnb data.

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• 4.3+
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Use your SQL skills to explore a dataset about product carbon emissions.

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Analyze the popularity of programming languages over time based on Stack Overflow data.

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Extract structured data from unstructured natural language in medical transcriptions using the OpenAI API.

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Perform a hypothesis test to determine if more goals are scored in womens soccer matches than mens!

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• 3.8+
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Implement retrieval augmented generation (RAG) with LangChain to create a chatbot for answering questions about technical documentation.

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Apply your knowledge of data types and categorical data to prepare a big dataset for modeling!

• БазовыйУровень мастерства
• 4.3+
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Analyze data about electronic vehicle charging behavior to better use shared charging stations.

• СреднийУровень мастерства
• 4.1+
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Review a data analysis workflow for adherence to Python standards and best-practices.

• БазовыйУровень мастерства
• 4.0+
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Dive into sleep data and gain insights about factors that impact sleep quality

• СреднийУровень мастерства
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Analyze clothing reviews on an e-commerce platform to explore different topics and similarities among them.