Mastering Data Analysis With Python: Wrangle, Clean, Analyze, and Visualize Data from Scratch
Disponibilidad:
En stock
En stock
Peso con empaque:
1.30 kg
1.30 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Sobre este producto
- Build a strong foundation in data analysis: Understand key definitions, lifecycle stages, data types, formats, and use cases across industries.
- Get up to speed with Python: Set up your environment, master Python syntax, control flow, functions, file handling, and data structures—even if you’re new to coding.
- Work with essential libraries: Develop hands-on fluency with NumPy, pandas, Matplotlib, seaborn, and scikit-learn, and know when to use each.
- Wrangle and clean messy data: Learn techniques for filtering, reshaping, string manipulation, handling missing values, and fixing inconsistent formats.
- Aggregate and combine datasets: Use advanced grouping, merging, joining, and hierarchical indexing strategies to analyze large and complex data.
- Analyze time-based and structured data: Explore time series, apply rolling statistics, and manage temporal trends with pandas.
- Create clear, compelling visualizations: Tell data stories through well-designed plots using both Matplotlib and seaborn, with export-ready graphics.
- Understand statistics the right way: Go from descriptive summaries to inferential statistics with concepts like hypothesis testing, p-values, confidence intervals, and correlation vs. causation.
- Perform in-depth Exploratory Data Analysis (EDA): Discover variable relationships, detect outliers, and automate EDA using tools like pandas_profiling and sweetviz.
- Optimize for performance at scale: Learn how to work with large datasets using Polars, Dask, and PyArrow, along with memory optimization tips.
- Handle unstructured and external data: Scrape the web, process text files, and consume APIs and JSON for richer datasets.
- Connect to databases and automate workflows: Use pandas and SQLAlchemy to interact with SQL databases, schedule tasks, and generate reports and dashboards.
- Deliver complete, polished projects: Apply everything you've learned in a full end-to-end data analysis project, ideal for portfolios and real-world practice.
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AR$64,047
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AR$140,912
55% OFF
AR$64,047
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