Data Wrangling with Python Training

Nivå: Foundation

For data to be useful and meaningful, it must be curated and refined. This Data Wrangling with Python course teaches you the core ideas behind these processes and equips you with knowledge of the most popular tools and techniques in the domain.

The course starts with the absolute basics of Python, focusing mainly on data structures. It then delves into the fundamental tools of data wrangling like NumPy and Pandas libraries. You'll explore useful insights into why you should stay away from traditional ways of data cleaning, as done in other languages, and take advantage of the specialised pre-built routines in Python. This combination of Python tips and tricks will also demonstrate how to use the same Python backend and extract/transform data from an array of sources including the Internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, you'll cover how to handle missing or wrong data, and reformat it based on the requirements from the downstream analytics tool. This data wrangling course will further help you grasp concepts through real-world examples and datasets.

Nyckelfunktioner:

  • After-course instructor coaching benefit

Du kommer lära dig att:

  • Use a diverse array of sources to extract data.
  • Clean, transform and format data efficiently.
  • Use python tricks to transform data into useful and meaningful data sets.

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LIVE, LÄRARLEDD

I klass & Live, Online-utbildning

  • 3-day instructor-led training course
  • One-on-one after-course instructor coaching
  • Pay later by invoice -OR- at the time of checkout by credit card

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  • Skräddarsytt innehåll
  • Coaching av ett expertteam

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Utveckla dig och ditt team med anpassade eller öppna kurser alternativt e-learning

Learning Tree erbjuder kundanpassad utbildning hos er, öppna kurser i Stockholm, London eller Washington, möjlighet att delta via våra Anywhere centers (Malmö, Göteborg, Linköping, Stockholm eller Borlänge) eller olika former av e-learning med lärarstöd. Läs mer på www.learningtree.se/priser .

I klass & Live, Online-utbildning

Note: This course runs for 3 dagar

  • 27 - 29 jan 9:00 - 4:30 GMT London / Online (AnyWare) London / Online (AnyWare) Boka Din Kursplats

  • 20 - 22 apr 9:00 - 4:30 BST London / Online (AnyWare) London / Online (AnyWare) Boka Din Kursplats

  • 28 - 30 okt 9:00 - 4:30 GMT London / Online (AnyWare) London / Online (AnyWare) Boka Din Kursplats

  • 5 - 7 feb 9:00 - 4:30 EST Ottawa / Online (AnyWare) Ottawa / Online (AnyWare) Boka Din Kursplats

  • 11 - 13 mar 9:00 - 4:30 EDT New York / Online (AnyWare) New York / Online (AnyWare) Boka Din Kursplats

  • 8 - 10 apr 9:00 - 4:30 EDT Herndon, VA / Online (AnyWare) Herndon, VA / Online (AnyWare) Boka Din Kursplats

  • 6 - 8 maj 9:00 - 4:30 EDT Ottawa / Online (AnyWare) Ottawa / Online (AnyWare) Boka Din Kursplats

  • 10 - 12 jun 9:00 - 4:30 EDT New York / Online (AnyWare) New York / Online (AnyWare) Boka Din Kursplats

  • 8 - 10 jul 9:00 - 4:30 EDT Herndon, VA / Online (AnyWare) Herndon, VA / Online (AnyWare) Boka Din Kursplats

  • 5 - 7 aug 9:00 - 4:30 EDT Ottawa / Online (AnyWare) Ottawa / Online (AnyWare) Boka Din Kursplats

  • 2 - 4 sep 9:00 - 4:30 EDT New York / Online (AnyWare) New York / Online (AnyWare) Boka Din Kursplats

  • 7 - 9 okt 9:00 - 4:30 EDT Herndon, VA / Online (AnyWare) Herndon, VA / Online (AnyWare) Boka Din Kursplats

  • 3 - 5 nov 9:00 - 4:30 EST Ottawa / Online (AnyWare) Ottawa / Online (AnyWare) Boka Din Kursplats

  • 9 - 11 dec 9:00 - 4:30 EST New York / Online (AnyWare) New York / Online (AnyWare) Boka Din Kursplats

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Data Wrangling with Python Training Information

  • Who Should Attend 

    Data Wrangling with Python takes a practical approach to equip beginners with the most essential data analysis tools in the shortest possible time. It contains multiple activities that use real-life business scenarios for you to practise and apply your new skills in a highly relevant context.

Data Wrangling with Python Training Outline

  • Lesson 1: Introduction to Data Structure using Python

    • Python for Data Wrangling
    • Lists, Sets, Strings, Tuples, and Dictionaries
  • Lesson 2: Advanced Operations on Built-In Data Structure

    • Advanced Data Structures
    • Basic File Operations in Python
  • Lesson 3: Introduction to NumPy, Pandas, and Matplotlib

    • NumPy Arrays
    • Pandas DataFrames
    • Statistics and Visualisation with NumPy and Pandas
    • Using NumPy and Pandas to Calculate Basic Descriptive Statistics on the DataFrame
  • Lesson 4: Deep Dive into Data Wrangling with Python

    • Subsetting, Filtering, and Grouping
    • Detecting Outliers and Handling Missing Values
    • Concatenating, Merging, and Joining
    • Useful Methods of Pandas
  • Lesson 5: Get Comfortable with a Different Kind of Data Sources

    • Reading Data from Different Text-Based (and Non-Text-Based) Sources
    • Introduction to BeautifulSoup4 and Web Page Parsing
  • Lesson 6: Learning the Hidden Secrets of Data Wrangling

    • Advanced List Comprehension and the zip Function
    • Data Formatting
  • Lesson 7: Advanced Web Scraping and Data Gathering

    • Basics of Web Scraping and BeautifulSoup libraries
    • Reading Data from XML
  • Lesson 8: RDBMS and SQL

    • Refresher of RDBMS and SQL
    • Using an RDBMS (MySQL/PostgreSQL/SQLite)
  • Lesson 9: Application in Real Life and Conclusion of Course

    • Applying Your Knowledge to a Real-life Data Wrangling Task
    • An Extension to Data Wrangling

Teamträning

Data Wrangling with Python FAQs

  • What is data wrangling in Python?

    It is the process of unifying and cleaning raw data sets to make them easier to analyse.

  • Can I take this data wrangling course online?

    Yes! We know your busy work schedule may prevent you from getting to one of our classrooms which is why we offer convenient online training to meet your needs wherever you want, including online training.

London / Online (AnyWare)
London / Online (AnyWare)
London / Online (AnyWare)
Ottawa / Online (AnyWare)
New York / Online (AnyWare)
Herndon, VA / Online (AnyWare)
Ottawa / Online (AnyWare)
New York / Online (AnyWare)
Herndon, VA / Online (AnyWare)
Ottawa / Online (AnyWare)
New York / Online (AnyWare)
Herndon, VA / Online (AnyWare)
Ottawa / Online (AnyWare)
New York / Online (AnyWare)
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