Data Wrangling with Python Training

Level: Intermediate
Rating: 4/5 4.00/5 Based on 14 Reviews

This course assumes a working knowledge of Python basics including data structures, importing and using modules, and creating functions. It then delves into the fundamental tools of data wrangling like NumPy and Pandas libraries.

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 specialized 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.

Key Features of this Data Wrangling with Python Training:

  • After-course instructor coaching benefit

You Will Learn How To:

  • 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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  • 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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Standard $2745 CAD

Government $2415 CAD

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Note: This course runs for 3 Days

  • Nov 8 - 10 9:00 AM - 4:30 PM EST Online (AnyWare) Online (AnyWare) Reserve Your Seat

  • Feb 23 - 25 9:00 AM - 4:30 PM EST New York / Online (AnyWare) New York / Online (AnyWare) Reserve Your Seat

  • May 11 - 13 9:00 AM - 4:30 PM EDT Ottawa / Online (AnyWare) Ottawa / Online (AnyWare) Reserve Your Seat

  • Aug 17 - 19 9:00 AM - 4:30 PM EDT New York / Online (AnyWare) New York / Online (AnyWare) Reserve Your Seat

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Data Wrangling with Python Training Information

  • Who Should Attend 

    Data Wrangling with Python provides a fast-paced, practical approach to the most essential data analysis tools in the shortest possible time. It contains multiple activities to focus on the real-life business scenarios for you to practice and apply your new skills in a highly relevant context.

  • Prerequisites

    Working knowledge of the Python language and familiarity with the Jupyter Notebook platform are required.

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 Visualization 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

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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 analyze.

  • 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.

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