Numpy with Python

Simpliv

Course

Online

£ 10 VAT inc.

The best Applications courses

See all

See all

Description

  • Type

    Course

  • Methodology

    Online

  • Start date

    Different dates available

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!Who this course is for:Beginner Python developers curious about Data Science

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course

NumPy Introduction
Python Numpy Array
Indexing & Slicing - 1
Indexing & Slicing - 2
Statistical Functions, Operators & Random Numbers
What is Data Science
What is Machine Learning

Beginner Python developers curious about Data Science

Questions & Answers

Add your question

Our advisors and other users will be able to reply to you

Who would you like to address this question to?

Fill in your details to get a reply

We will only publish your name and question

Reviews

This centre's achievements

2021

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 4 years

Course programme

Numpy with Python 14 lectures 04:04:52 NumPy Introduction NumPy Introductions Python Numpy Array Python Numpy Arrays Indexing & Slicing - 1 Indexing and Slicing - 1 Indexing & Slicing - 2 Indexing and Slicing - 2 Statistical Functions, Operators & Random Numbers Statistical Functions, Operators & Random Number Data Science What is Data Science Machine Learning What is Machine Learning Numpy with Python 14 lectures 04:04:52 NumPy Introduction NumPy Introductions Python Numpy Array Python Numpy Arrays Indexing & Slicing - 1 Indexing and Slicing - 1 Indexing & Slicing - 2 Indexing and Slicing - 2 Statistical Functions, Operators & Random Numbers Statistical Functions, Operators & Random Number Data Science What is Data Science Machine Learning What is Machine Learning NumPy Introduction NumPy Introduction NumPy Introduction NumPy Introduction NumPy Introductions NumPy Introductions NumPy Introductions NumPy Introductions Python Numpy Array Python Numpy Array Python Numpy Array Python Numpy Array Python Numpy Arrays Python Numpy Arrays Python Numpy Arrays Python Numpy Arrays Indexing & Slicing - 1 Indexing & Slicing - 1 Indexing & Slicing - 1 Indexing & Slicing - 1 Indexing and Slicing - 1 Indexing and Slicing - 1 Indexing and Slicing - 1 Indexing and Slicing - 1 Indexing & Slicing - 2 Indexing & Slicing - 2 Indexing & Slicing - 2 Indexing & Slicing - 2 Indexing and Slicing - 2 Indexing and Slicing - 2 Indexing and Slicing - 2 Indexing and Slicing - 2 Statistical Functions, Operators & Random Numbers Statistical Functions, Operators & Random Numbers Statistical Functions, Operators & Random Numbers Statistical Functions, Operators & Random Numbers Statistical Functions, Operators & Random Number Statistical Functions, Operators & Random Number Statistical Functions, Operators & Random Number Statistical Functions, Operators & Random Number Data Science Data Science Data Science Data Science What is Data Science What is Data Science What is Data Science What is Data Science Machine Learning Machine Learning Machine Learning Machine Learning What is Machine Learning What is Machine Learning What is Machine Learning What is Machine Learning

Additional information

Previous programming experience. Familiarity with collection types in Python.

See related categories

Numpy with Python

£ 10 VAT inc.

The best Applications courses

See all

See all