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Manipulate DataFrames (Extract - Transform - Load) | Import and clean data | Calculate statistics | Create visualizations (Data Camp 2023)

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Combining DataFrames | Organizing DataFrames | Joining DataFrames | Reshaping DataFrames | Case Study: World Bank and the City Of Chicago (Data Camp 2023)

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Explore data and effectively communicate results | Create a variety of plots, including scatter plots, count plots, bar plots, and box plots | Customize visualizations | Case Study: How air pollution in a city changes through the day | Case Study: How young people user their free time. (Data Camp 2023)

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Incorporating EDA findings into a data science workflow | Leverage Python to summarize and validate data | Calculate, identify and replace missing values | Clean both numerical and categorical values | Create Seaborn visualizations to understand variables and their relationships | Create new features | Generate hypotheses from findings | Case Study: How alcohol use and student performance are related | Case Study: Using data on unemployment figures and plane ticket prices (Data Camp 2023)

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How machine learning works and when to use it | Machone learning terms and jargon | The difference between AI and machine learning | Hands-on exercises | Case Study: Self-driving cars | Case Study: Amazon (Data Camp 2024)

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Statistical rigor and significance| How and when to use common tests like t-tests, proportion tests, and chi-square tests | How hypothesis tests work | Key assumptions and how to check them | How non-parametric tests can be used to go beyond the limitations of traditional hypothesis tests| Case Study: Stack Overflow user feedback | Case Study: Supply-chain data for medical supply shipments (Data Camp 2023)

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When to use sampling | How to perform simple random sampling, stratified sampling, and cluster sampling | Estimating population statistics |Quantify uncertainty by generating sampling distributions and bootstrap distributions | Case Study: coffee ratings |Case Study: Spotify songs |Case Study: employee attrition (Data Camp 2023)

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Matplotlib | Dictionaries & Pandas | Logic, Control Flow and Filtering | Loops | Case Study: Hacker Statistics (Data Camp 2023)

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Data Collecetion | Statisitics Inference | Regression | Descriptive Statistics | Probability | Conducting Well-designed Studies | Drawing Conclusions (Data Camp 2023)

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How to leverage the power of GitHub | The differences between GitHub and Git | Navigate the GitHub interface effectively | Creating public and private repositories | Creating and modifying files, branches, and issues | Assigning tasks and tagging users | Reviewing pull requests and merging branches | How to clone and fork repositories | Generate private access tokens (PAT) (Data Camp 2024)

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[View certificate] (365 Data Science 2023)