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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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Find out when and where crime is most likely to occur, along with the types of crimes commonly committed in LA.

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

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Use SQL to figure out the golden era of video games!

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Derive insights about motorcycle part sales over time across multiple warehouse sites!

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

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

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

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

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

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

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

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Dive into sleep data and gain insights about factors that impact sleep quality

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Use categorization and ranking techniques to explore 101 years of American baby names.

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Conduct a supply chain analysis of the ingredients used in an avocado toast to gain an understanding of the complex supply chain involved.

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Identify issues in a manufacturing process using SQL window functions and subqueries

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Use joining techniques to discover the oldest businesses in the world.

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Analyze UEFA Champions League Soccer Games using Snowflake SQL.

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Analyze product data for an online sports retail company to optimize revenue.

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Enhance your SQL Skills with hands-on data cleaning in PostgreSQL: perform analyses while working with incorrect data types and missing values.

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Use data manipulation and visualization to explore a television broadcast dataset from the Super Bowl.

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Sometimes, things that once worked perfectly suddenly hit a snag. Practice your knowledge of DataFrames to find the problem and fix it!

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Perform hypothesis tests to determine if the adverse effects of a pharmaceutical drug are significant!

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Query the VatComply API to gather exchange rate information and incorporate into a sales orders dataset!

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Use a variety of data manipulation techniques to explore different aspects of Legos history.

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

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Transcribe customer support audio calls, evaluate sentiment, search in text and identify common entities to improve customer service!

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Automatically generate keywords for a search engine marketing campaign using Python to send website visitors to the right landing page.