Essential Numpy and PandasChapter 1: Introduction to NumpyWhat is Numpy?Numpy ArraysArray OperationsChapter 2: Getting Started with PandasIntroduction to PandasPandas SeriesDataFramesChapter 3: Data Manipulation with PandasIndexing and SelectionData Cleaning TechniquesHandling Missing DataChapter 4: Basic Data Analysis and VisualizationDescriptive StatisticsData AggregationVisualizing Data
Essential Numpy and Pandas
Get into data manipulation and numerical computing with this course on Numpy and Pandas. This course explains fundamental concepts, technical terms, and provides practical examples to help you understand and apply these strong Python libraries in data science.
What You'll Learn
Numpy Basics
Understand the core features of Numpy for numerical computations.
Pandas Data Structures
Learn about Series and DataFrames for data manipulation.
Data Indexing and Selection
Master techniques for selecting and indexing data in Pandas.
Data Cleaning
Discover methods to clean and prepare data using Pandas.
Basic Data Analysis
Perform simple data analysis using Pandas functions.
Data Visualization
Visualize data with Pandas to gain insights.
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