Fundamental Tools of Data Wrangling

This course is part of Data Wrangling with Python Specialization

Instructor: Di Wu

What you'll learn

  •   You will be able to describe the fundamentals of programming in Python.
  •   You will be able to identify data structures for efficient organization and manipulation of data.
  •   You will practice using NumPy and Pandas for numerical computing, data manipulation, and analysis.
  • Skills you'll gain

  •   Data Integration
  •   Python Programming
  •   NumPy
  •   Data Transformation
  •   Data Manipulation
  •   Data Quality
  •   Data Structures
  •   Data Visualization
  •   Exploratory Data Analysis
  •   Programming Principles
  •   Data Analysis
  •   Data Wrangling
  •   Data Cleansing
  •   Pandas (Python Package)
  •   Scripting
  • There are 5 modules in this course

    In this course, participants will dive into the world of data manipulation using Python as the primary programming language. They will learn about data structures, such as lists, dictionaries, and arrays, and how to use them to store and organize different types of data. Furthermore, participants will explore the power of Python packages like random and math for generating and performing mathematical operations on data. They will also be introduced to NumPy, a powerful library for numerical computing, and learn how to efficiently work with multi-dimensional arrays and matrices. A significant focus of the course will be on pandas, a versatile library for data manipulation and analysis. Participants will discover various techniques to clean, reshape, and aggregate data using pandas, enabling them to derive valuable insights from messy datasets.

    Data Structures

    Numpy

    Pandas

    Case Study

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