Introduction to Time Series Data
Learn the fundamentals of time series data in Python. Master datetime indexing, trend, seasonality, stationarity, autocorrelation, resampling, rolling statistics, and time series decomposition.
Understanding Data Formats: CSV, JSON, Parquet, and More
Learn the key data formats used in data science: CSV, JSON, Parquet, Avro, ORC, HDF5, Feather, and Pickle. Understand when to use each and how they affect performance and storage.
Parsing XML Data in Python
Learn to parse XML data in Python using ElementTree, lxml, and XPath. Master navigating XML trees, extracting elements and attributes, handling namespaces, and converting XML to DataFrames.
Working with Excel Files in Pandas
Learn to read and write Excel files in pandas. Master read_excel, multiple sheets, ExcelWriter, formatting with openpyxl, common problems, and best practices for data science.
Reading and Writing JSON Files in Python
Learn to read and write JSON files in Python. Master the json module, pandas JSON methods, nested data flattening, JSON Lines, large file handling, and schema validation.
