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Crash course- Introduction to Pandas and NumPy

  • Development
  • Mar 29, 2025
SynopsisCrash course: Introduction to Pandas and NumPy, available at...
Crash course- Introduction to Pandas and NumPy  No.1

Crash course: Introduction to Pandas and NumPy, available at $44.99, has an average rating of 4.38, with 27 lectures, based on 8 reviews, and has 36 subscribers.

You will learn about NumPy arrays Operations on NumPy arrays Image processing with NumPy Vectorial operations The framework Pandas Pandas DataFrame Manipulating Pandas DataFrame Arithmetic operations and statistical computations This course is ideal for individuals who are To those interested in data science and machine learning or For those who want to improve their Python knowledge or For those who want to improve the performance of their Python code It is particularly useful for To those interested in data science and machine learning or For those who want to improve their Python knowledge or For those who want to improve the performance of their Python code.

Enroll now: Crash course: Introduction to Pandas and NumPy

Summary

Title: Crash course: Introduction to Pandas and NumPy

Price: $44.99

Average Rating: 4.38

Number of Lectures: 27

Number of Published Lectures: 27

Number of Curriculum Items: 27

Number of Published Curriculum Objects: 27

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will Learn

  • NumPy arrays
  • Operations on NumPy arrays
  • Image processing with NumPy
  • Vectorial operations
  • The framework Pandas
  • Pandas DataFrame
  • Manipulating Pandas DataFrame
  • Arithmetic operations and statistical computations
  • Who Should Attend

  • To those interested in data science and machine learning
  • For those who want to improve their Python knowledge
  • For those who want to improve the performance of their Python code
  • Target Audiences

  • To those interested in data science and machine learning
  • For those who want to improve their Python knowledge
  • For those who want to improve the performance of their Python code
  • Are you ready to take your data skills to the next level? Our course on Pandas and NumPy is designed to help you master these powerful libraries and unlock the full potential of your data.

    Pandas and NumPy are two of the most popular Python libraries for data manipulation and analysis. Together, they provide a powerful toolset for working with structured data in Python and enable you to perform complex data tasks with ease and efficiency.

    In this course, you will learn the fundamentals of Pandas and NumPy and how to use them to solve real-world data problems. You will learn how to load and manipulate data with Pandas, perform mathematical operations and statistical analyses with NumPy, and use the two libraries together to solve complex data tasks.

    Our experienced instructors will guide you through the material with hands-on examples and exercises, and you will have the opportunity to apply your knowledge to real-world datasets. By the end of the course, you will have a solid understanding of Pandas and NumPy and be able to use them confidently in your own data projects.

    Don’t miss this opportunity to learn from the experts and take your data skills to the next level. Enroll now and join our community of data professionals who are mastering Pandas and NumPy and making a difference with data.

    Course Curriculum

    Chapter 1: Numpy

    Lecture 1: Introduction

    Lecture 2: Applications

    Lecture 3: NumPy Arrays

    Lecture 4: Matrices

    Lecture 5: Tensors

    Lecture 6: Array creation routines

    Lecture 7: Dtypes

    Lecture 8: Vectorized operations

    Lecture 9: Reduction operations

    Lecture 10: Reshaping

    Lecture 11: Saving and Loading NumPy Arrays

    Lecture 12: Image Processing

    Lecture 13: Masking

    Lecture 14: Structured Arrays

    Lecture 15: JAX and GPUs

    Chapter 2: Pandas

    Lecture 1: Introduction

    Lecture 2: Pandas DataFrames

    Lecture 3: Indexing

    Lecture 4: Loading & dtype

    Lecture 5: Summary statistics

    Lecture 6: Working with textual data

    Lecture 7: Working with dates

    Lecture 8: Merging

    Lecture 9: Groupby

    Chapter 3: Exercice: stock market data

    Lecture 1: Description

    Lecture 2: Solution: part 1

    Lecture 3: Solution: part 2

    Instructors

  • Crash course- Introduction to Pandas and NumPy  No.2
    Maxime Vandegar
    Ingénieur de recherche
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  • 3 stars: 1 votes
  • 4 stars: 3 votes
  • 5 stars: 4 votes
  • Frequently Asked Questions

    How long do I have access to the course materials?

    You can view and review the lecture materials indefinitely, like an on-demand channel.

    Can I take my courses with me wherever I go?

    Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!