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Numpy with Python

NumPy is a library for the Python programming language

Description

In this series, we cover the basics of using NumPy for basic data analysis. Some of the things that are covered are as follows: installing NumPy using the Anaconda Python distribution, creating NumPy arrays in a variety of ways, gathering information about large datasets such as the mean, median and standard deviation, as well as utilizing Jupyter Notebooks for exploration using NumPy. If you are looking to get started with NumPy then join us!

1. NumPy Introduction

2. Python Numpy Array

3. Indexing & Slicing - 1

4. Indexing & Slicing - 2

5. Statistical Functions, Operators & Random Numbers

6. What is Data Science

7. What is Machine Learning

Who this course is for:

  • Beginner Python developers curious about Data Science

Goals

  • What is NumPy?
  • Python Numpy Array
  • Indexing & Slicing
  • Statistical Functions, Operators & Random Numbers
  • What is Data Science
  • What is Machine Learning

Prerequisites

  • Previous programming experience. Familiarity with collection types in Python.
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Curriculum

  • Session 1. NumPy Introduction
    00:31
    Preview
  • NumPy Introduction
    34:09
    Preview
  • Session 2. Python Numpy Array
    00:28
  • Python Numpy Array
    22:32
  • Session 3. Indexing & Slicing - 1
    00:42
  • Indexing & Slicing - 1
    19:29
  • Session 4. Indexing & Slicing - 2
    00:47
  • Indexing & Slicing - 2
    30:21
  • Session 5. Statistical Functions, Operators & Random Numbers
    00:48
  • Statistical Functions, Operators & Random Numbers
    20:12
  • What is Data Science
    32:26
  • What is Machine Learning
    26:33
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Numpy with Python
This Course Includes
  • 3 hours
  • 12 Lectures
  • Completion Certificate
  • Lifetime Access
  • 30-Days Money Back Guarantee

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