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Complete Numpy with Python Programming Course

person icon DATAhill Solutions Srinivas Reddy

4.3

Complete Numpy with Python Programming Course

Master the essentials of NumPy and explore how it works with statistical functions, operators & random number generation

updated on icon Updated on Oct, 2024

language icon Language - English

person icon DATAhill Solutions Srinivas Reddy

English [CC]

category icon Development ,Programming Languages,Python

Lectures -13

Duration -3 hours

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4.3

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Course 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!

Course Curriculum:-

  • 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 is this course 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.
Complete Numpy with Python Programming Course

Curriculum

Check out the detailed breakdown of what’s inside the course

Numpy with Python
12 Lectures
  • play icon Session 1. NumPy Introduction 00:31 00:31
  • play icon NumPy Introduction 34:09 34:09
  • play icon Session 2. Python Numpy Array 00:28 00:28
  • play icon Python Numpy Array 22:32 22:32
  • play icon Session 3. Indexing & Slicing - 1 00:42 00:42
  • play icon Indexing & Slicing - 1 19:29 19:29
  • play icon Session 4. Indexing & Slicing - 2 00:47 00:47
  • play icon Indexing & Slicing - 2 30:21 30:21
  • play icon Session 5. Statistical Functions, Operators & Random Numbers 00:48 00:48
  • play icon Statistical Functions, Operators & Random Numbers 20:12 20:12
  • play icon What is Data Science 32:26 32:26
  • play icon What is Machine Learning 26:33 26:33

Instructor Details

DATAhill Solutions Srinivas Reddy

DATAhill Solutions Srinivas Reddy

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