Data Analysis using NumPy and Pandas

Course

Online

£ 10 VAT inc.

Description

  • Type

    Course

  • Methodology

    Online

  • Start date

    Different dates available

Why learn pandas?If you've spent time in a spreadsheet software like Microsoft Excel, Apple Numbers, or Google Sheets and are eager to take your data analysis skills to the next level, this course is for you!Data Analysis with Pandas and Python introduces you to the popular Pandas library built on top of the Python programming language.Pandas is a powerhouse tool that allows you to do anything and everything with colossal data sets -- analyzing, organizing, sorting, filtering, pivoting, aggregating, munging, cleaning, calculating, and more!I call it "Excel on steroids"!Over the course of more than 19 hours, I'll take you step-by-step through Pandas, from installation to visualization! We'll cover hundreds of different methods, attributes, features, and functionalities packed away inside this awesome library. We'll dive into tons of different datasets, short and long, broken and pristine, to demonstrate the incredible versatility and efficiency of this package.Data Analysis with Pandas and Python is bundled with dozens of datasets for you to use. Dive right in and follow along with my lessons to see how easy it is to get started with pandas!Whether you're a new data analyst or have spent years (*cough* too long *cough*) in Excel, Data Analysis with pandas and Python offers you an incredible introduction to one of the most powerful data tool kits available today!

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
Introduction Series & DataFrame
Date Range & Inspecting Data
Indexing & Slicing on DataFrame - 1
loc & iloc
Indexing & Slicing on DataFrame - 2
Concatenation & Descriptive Statistics
Merging DataFrames
Working with Text Data
Function Application & Loading data in Python
Loading Data from CSV, Excel & URL
Data Visualization using Pandas
What is Data Science
What is Machine Learning

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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

Subjects

  • Excel
  • Data analysis
  • Statistics
  • MS Excel

Course programme

Data Analysis using NumPy and Pandas 19 lectures 08:15:51 Introduction NumPy Introduction Python Numpy Array Indexing & Slicing - 1 Indexing & Slicing - 2 Statistical Functions, Operators & Random Numbers Introduction Series & DataFrame Date Range & Inspecting Data Indexing & Slicing on DataFrame - 1 loc & iloc Indexing & Slicing on DataFrame - 2 Concatenation & Descriptive Statistics Merging DataFrames Working with Text Data Function Application & Loading data in Python Loading Data from CSV, Excel & URL Data Visualization using Pandas What is Data Science What is Machine Learning Data Analysis using NumPy and Pandas 19 lectures 08:15:51 Introduction NumPy Introduction Python Numpy Array Indexing & Slicing - 1 Indexing & Slicing - 2 Statistical Functions, Operators & Random Numbers Introduction Series & DataFrame Date Range & Inspecting Data Indexing & Slicing on DataFrame - 1 loc & iloc Indexing & Slicing on DataFrame - 2 Concatenation & Descriptive Statistics Merging DataFrames Working with Text Data Function Application & Loading data in Python Loading Data from CSV, Excel & URL Data Visualization using Pandas What is Data Science What is Machine Learning Introduction Introduction Introduction Introduction NumPy Introduction NumPy Introduction NumPy Introduction NumPy Introduction Python Numpy Array Python Numpy Array Python Numpy Array Python Numpy Array Indexing & Slicing - 1 Indexing & Slicing - 1 Indexing & Slicing - 1 Indexing & Slicing - 1 Indexing & Slicing - 2 Indexing & Slicing - 2 Indexing & Slicing - 2 Indexing & Slicing - 2 Statistical Functions, Operators & Random Numbers Statistical Functions, Operators & Random Numbers Statistical Functions, Operators & Random Numbers Statistical Functions, Operators & Random Numbers Introduction Series & DataFrame Introduction Series & DataFrame Introduction Series & DataFrame Introduction Series & DataFrame Date Range & Inspecting Data Date Range & Inspecting Data Date Range & Inspecting Data Date Range & Inspecting Data Indexing & Slicing on DataFrame - 1 Indexing & Slicing on DataFrame - 1 Indexing & Slicing on DataFrame - 1 Indexing & Slicing on DataFrame - 1 loc & iloc loc & iloc loc & iloc loc & iloc Indexing & Slicing on DataFrame - 2 Indexing & Slicing on DataFrame - 2 Indexing & Slicing on DataFrame - 2 Indexing & Slicing on DataFrame - 2 Concatenation & Descriptive Statistics Concatenation & Descriptive Statistics Concatenation & Descriptive Statistics Concatenation & Descriptive Statistics Merging DataFrames Merging DataFrames Merging DataFrames Merging DataFrames Working with Text Data Working with Text Data Working with Text Data Working with Text Data Function Application & Loading data in Python Function Application & Loading data in Python Function Application & Loading data in Python Function Application & Loading data in Python Loading Data from CSV, Excel & URL Loading Data from CSV, Excel & URL Loading Data from CSV, Excel & URL Loading Data from CSV, Excel & URL Data Visualization using Pandas Data Visualization using Pandas Data Visualization using Pandas Data Visualization using Pandas What is Data Science What is Data Science What is Data Science What is Data Science What is Machine Learning What is Machine Learning What is Machine Learning What is Machine Learning

Additional information

Basic experience with the Python programming language

Data Analysis using NumPy and Pandas

£ 10 VAT inc.