Introduction to Python and Data Analysis [STA_PYPDAI]

Dauer
Ausführung
Online
Startdatum und Ort

Introduction to Python and Data Analysis [STA_PYPDAI]

Global Knowledge Network Netherlands B.V.
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Startdaten und Startorte

computer Online: VIRTUAL
10. Sep 2024 bis 13. Sep 2024
Details ansehen
event 10. September 2024, 10:30-18:00, VIRTUAL, NL233966.1
event 11. September 2024, 10:30-18:00, VIRTUAL, NL233966.2
event 12. September 2024, 10:30-18:00, VIRTUAL, NL233966.3
event 13. September 2024, 10:30-18:00, VIRTUAL, NL233966.4
computer Online: VIRTUAL
26. Nov 2024 bis 29. Nov 2024
Details ansehen
event 26. November 2024, 10:30-18:00, VIRTUAL, NL234698.1
event 27. November 2024, 10:30-18:00, VIRTUAL, NL234698.2
event 28. November 2024, 10:30-18:00, VIRTUAL, NL234698.3
event 29. November 2024, 10:30-18:00, VIRTUAL, NL234698.4
computer Online: VIRTUAL
14. Jan 2025 bis 17. Jan 2025
Details ansehen
event 14. Januar 2025, 10:30-18:00, VIRTUAL, NL236571.1
event 15. Januar 2025, 10:30-18:00, VIRTUAL, NL236571.2
event 16. Januar 2025, 10:30-18:00, VIRTUAL, NL236571.3
event 17. Januar 2025, 10:30-18:00, VIRTUAL, NL236571.4

Beschreibung

Ontdek de verschillende trainingsmogelijkheden bij Global Knowledge

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Kies op welke manier jij of je team graag een training wilt volgen. Global Knowledge bied je verschillende trainingsmogelijkheden. Je kunt kiezen uit o.a. klassikaal, Virtueel Klassikaal (online), e-Learning en maatwerk. Met onze Blended oplossing kun je de verschillende trainingsvormen combineren.

OVERVIEW

Introduction to Python and Data Analysis Course Overview

This course is an introduction to Python and its main data analysis libraries,Pandas and Matplotlib for delegates with some understanding of programming concepts. It is a two-part course,the first is an introduction to Python programming,the second introduces Python's data analysis tools. For the programming environment we use JupyterLab on the Anaconda platform. Anaconda is one of the most,if not the most,popular Data Science platforms.

Approach:

We believe in learning by doing and take a hands-on approach to training. Delegates are provided with all required resources,including data,and are expected to code along with the in…

Gesamte Beschreibung lesen

Frequently asked questions

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Noch nicht den perfekten Kurs gefunden? Verwandte Themen: Data Science Python, Data Science, Python, Big Data und Data Analytics.

Ontdek de verschillende trainingsmogelijkheden bij Global Knowledge

Online of op locatie er is altijd een vorm die bij je past.

Kies op welke manier jij of je team graag een training wilt volgen. Global Knowledge bied je verschillende trainingsmogelijkheden. Je kunt kiezen uit o.a. klassikaal, Virtueel Klassikaal (online), e-Learning en maatwerk. Met onze Blended oplossing kun je de verschillende trainingsvormen combineren.

OVERVIEW

Introduction to Python and Data Analysis Course Overview

This course is an introduction to Python and its main data analysis libraries,Pandas and Matplotlib for delegates with some understanding of programming concepts. It is a two-part course,the first is an introduction to Python programming,the second introduces Python's data analysis tools. For the programming environment we use JupyterLab on the Anaconda platform. Anaconda is one of the most,if not the most,popular Data Science platforms.

Approach:

We believe in learning by doing and take a hands-on approach to training. Delegates are provided with all required resources,including data,and are expected to code along with the instructor. The objective is for delegates to reproduce the analysis in our manuals as well as gain a conceptual understanding of the methods.

Exercises and examples are used throughout the course to give practical hands-on experience with the techniques covered.

OBJECTIVES

Course Objectives

This course aims to develop delegates skills in Python and its main data analysis libraries. On completion of the course they will have gained enough proficiency to allow them to apply these tools in their day to day data analysis activities.

AUDIENCE

Who will the Course Benefit?

This course is designed for anyone who wants to acquire basic proficiency in Python and its data analysis tools for use in their own work. It is for numerate people who are familiar with programming constructs but are not necessarily programmers who want to be able to do some data manipulation and visualization using Python.

NEXT STEP

Further Learning
  • Python Programming 1

CONTENT

Introduction to Python and Data Analysis Training Course Course Contents - DAY 1

Course Introduction

  • Administration and Course Materials
  • Course Structure and Agenda
  • Delegate and Trainer Introductions

Session 1: INTRODUCTION

  • Python as an interpreted language
  • Script mode by example
  • Interactive mode
  • Statements
  • Comments
  • Whitespace and Indentation

Session 2: PYTHON: VARIABLES & SCALAR TYPES

  • Numerical types
  • Text
  • Boolean
  • Variables as references
  • The type() function

Session 3: OPERATORS & EXPRESSIONS

  • Arithmetic Operators
  • Assignment Operators
  • Comparison Operators
  • Logical Operators
  • Membership Operators

Session 4: CONTAINERS

  • Lists
  • Tuples
  • Sets
  • Dictionary
Introduction to Python and Data Analysis Training Course Course Contents - DAY 2

Session 5: CONDITIONS & LOOPS

  • Basic if statement
  • Else clause
  • For loop
  • While loop
  • The range function
  • Iterating over a list
  • Break
  • Continue

Session 6: FUNCTIONS

  • inbuilt functions (len(),sum(),min(),max(),sorted())
  • defining functions
  • positional arguments
  • names arguments
  • default value arguments

Session 7: OBJECTS

  • What is a Class?
  • Data Attributes and Methods
  • A simple example
  • Some methods of inbuilt containers
Introduction to Python and Data Analysis Training Course Course Contents - DAY 3

Session 8: INTRODUCTION TO DATAFRAMES

  • What is a DataFrame?
  • DataFrame attributes
  • Loading and writing DataFrames
  • Exploratory functions
  • Subsetting
  • Conditional subsetting
  • Adding and dropping columns
  • Inbuilt aggregating functions
  • Missing values
Introduction to Python and Data Analysis Training Course Course Contents - DAY 4

Session 9: GROUPBY AND AGGREGATION: SPLIT-APPLY-COMBINE

  • Groupby one column and aggregate using single inbuilt function
  • Groupby two columns and aggregate using single inbuilt function
  • Groupby one column and aggregate using separate function for each column

Session 10: PLOTTING WITH MATPLOTLIB

  • Bar chart
  • Histogram
  • Line plot

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