Pandas with Python

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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 by 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 toolkits available today!Introduction Series & DataFrame
Date Range & Inspecting Data
Indexing & Slicing on DataFrame - 1
loc & iloc
Indexing & Slicing on DataFrame - 2
Concatination & 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 LearningWho 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

Perform a multitude of data operations in Python's popular "pandas" library including grouping, pivoting, joining and more!
Possess a strong understanding of manipulating 1D, 2D, and 3D data sets
Learn hundreds of methods and attributes across numerous pandas objects
Resolve common issues in broken or incomplete data sets

Beginner Python developers curious about Data Science

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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 6 years

Subjects

  • Excel
  • Data analysis
  • Statistics
  • MS Excel

Course programme

Pandas with Python 26 lectures 07:16:58 Session 1: Introduction Series & DataFrame Introduction Series & DataFrames Session 2: Date Range & Inspecting Data Date Range and Inspecting Data Session 3: Indexing & Slicing on DataFrame - 1 Indexing & Slicing on DataFrames - 1 Session 4: loc & iloc loc and iloc Session 5: Indexing & Slicing on DataFrame - 2 Indexing & Slicing on DataFrames - 2 Session 6: Concatenation & Descriptive Statistics Concatenation and Descriptive Statistics Session 7: Merging DataFrames Merging DataFrame Session 8: Working with Text Data Work with Text Data Session 9: Function Application & Loading data in Python Function Application and Loading data in Python Session 10: Loading Data from CSV, Excel & URL Loading Data from CSV, Excel and URL Session 11: Data Visualization using Pandas Data Visualization using Pandas Data Science Session 12: What is Data Science Machine Learning Session 13: What is Machine Learning Pandas with Python p Session 1: Introduction Series & DataFrame Session 1: Introduction Series & DataFrame Session 1: Introduction Series & DataFrame Introduction Series & DataFrames Introduction Series & DataFrames Introduction Series & DataFrames Introduction Series & DataFrames Session 2: Date Range & Inspecting Data Session 2: Date Range & Inspecting Data Session 2: Date Range & Inspecting Data Session 2: Date Range & Inspecting Data Date Range and Inspecting Data Date Range and Inspecting Data Date Range and Inspecting Data Date Range and Inspecting Data Session 3: Indexing & Slicing on DataFrame - 1 Session 3: Indexing & Slicing on DataFrame - 1 Session 3: Indexing & Slicing on DataFrame - 1 Session 3: Indexing & Slicing on DataFrame - 1 Indexing & Slicing on DataFrames - 1 Indexing & Slicing on DataFrames - 1 Indexing & Slicing on DataFrames - 1 Indexing & Slicing on DataFrames - 1 Session 4: loc & iloc Session 4: loc & iloc Session 4: loc & iloc Session 4: loc & iloc loc and iloc loc and iloc loc and iloc loc and iloc Session 5: Indexing & Slicing on DataFrame - 2 Session 5: Indexing & Slicing on DataFrame - 2 Session 5: Indexing & Slicing on DataFrame - 2 Session 5: Indexing & Slicing on DataFrame - 2 Indexing & Slicing on DataFrames - 2 Indexing & Slicing on DataFrames - 2 Indexing & Slicing on DataFrames - 2 Indexing & Slicing on DataFrames - 2 Session 6: Concatenation & Descriptive Statistics Session 6: Concatenation & Descriptive Statistics Session 6: Concatenation & Descriptive Statistics Session 6: Concatenation & Descriptive Statistics Concatenation and Descriptive Statistics Concatenation and Descriptive Statistics Concatenation and Descriptive Statistics Concatenation and Descriptive Statistics Session 7: Merging DataFrames Session 7: Merging DataFrames Session 7: Merging DataFrames Session 7: Merging DataFrames Merging DataFrame Merging DataFrame Merging DataFrame Merging DataFrame Session 8: Working with Text Data Session 8: Working with Text Data Session 8: Working with Text Data Session 8: Working with Text Data Work with Text Data Work with Text Data Work with Text Data Work with Text Data Session 9: Function Application & Loading data in Python Session 9: Function Application & Loading data in Python Session 9: Function Application & Loading data in Python Session 9: Function Application & Loading data in Python Function Application and Loading data in Python Function Application and Loading data in Python Function Application and Loading data in Python Function Application and Loading data in Python Session 10: Loading Data from CSV, Excel & URL Session 10: Loading Data from CSV, Excel & URL Session 10: Loading Data from CSV, Excel & URL Session 10: Loading Data from CSV, Excel & URL Loading Data from CSV, Excel and URL Loading Data from CSV, Excel and URL Loading Data from CSV, Excel and URL Loading Data from CSV, Excel and URL Session 11: Data Visualization using Pandas Session 11: Data Visualization using Pandas Session 11: Data Visualization using Pandas Session 11: Data Visualization using Pandas Data Visualization using Pandas Data Visualization using Pandas Data Visualization using Pandas Data Visualization using Pandas Data Science Data Science Data Science Data Science Session 12: What is Data Science Session 12: What is Data Science Session 12: What is Data Science Session 12: What is Data Science Machine Learning Machine Learning Machine Learning Machine Learning Session 13: What is Machine Learning Session 13: What is Machine Learning Session 13: What is Machine Learning Session 13: What is Machine Learning

Additional information

Basic / intermediate experience with Microsoft Excel or another spreadsheet software (common functions, vlookups, Pivot Tables etc) Basic experience with the Python programming language Strong knowledge of data types (strings, integers, floating points, booleans) etc

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Pandas with Python

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