You're probably familiar with pandas if you have worked in Python. Instructor Brett Vanderblock will show you how to use the advanced functions in pandas, such as dealing with missing data and merging DataFrames. This advanced course will help you work more efficiently with your data. Brett first introduces you DataFrames and identifies the most important functions of pandas. He then shows you how to set up your pandas workspace effectively. He will show you how to convert data types, work with strings, and apply map, apply map, and other functions efficiently. He shows you how to combine Groupby with multiple aggregate functions in pandas and how to use merge, join, and concat functions. Brett walks through the process of plotting and using statistical functions in pandas. He ends by explaining how to use Geopandas and pandas-profiling to get the best out of your data and functions.
1 Take pandas to the next level 2 Getting started with pandas 3 Intro to DataFrames using pandas 4 Top functions using pandas 5 Configuring options using pandas 6 Data type conversions using pandas 7 Working with strings using pandas 8 Working with dates using pandas 9 Dealing with missing data using pandas 10 Apply Map Applymap 11 Groupby and aggregations using pandas 12 Reshaping data frames (pivot, stack) 13 Merging (merge, join) and concatenating (concat) data frames 14 Mapping variables into groups 15 Plotting with pandas 16 Correlations and statistical functions 17 Accelerate EDA with pandas-Profiling 18 Explore Geographic data with Geopandas 19 Beyond pandas with Dask and Koalas (Spark) 20 Your path forward using advanced pandas functions