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Data Wrangling with Python Training
Level: Foundation
Rating:
3.60/5 Based on 10 Reviews
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.
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.
Choose the Training Solution That Best Fits Your Individual Needs or Organisational Goals
LIVE, INSTRUCTOR-LED
In Class & Live, Online Training
- 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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- Expert team coaching
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In Class & Live, Online Training
Note: This course runs for 3 Days
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12 - 14 Jan 9:00 AM - 4:30 PM GMT Online (AnyWare)
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6 - 8 Apr 9:00 AM - 4:30 PM BST Online (AnyWare)
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6 - 8 Jul 9:00 AM - 4:30 PM BST Online (AnyWare)
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12 - 14 Oct 9:00 AM - 4:30 PM BST Online (AnyWare)
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9 - 11 Dec 2:00 PM - 9:30 PM GMT Online (AnyWare)
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10 - 12 Mar 2:00 PM - 9:30 PM GMT New York / Online (AnyWare)
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7 - 9 Apr 2:00 PM - 9:30 PM BST Herndon, VA / Online (AnyWare)
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9 - 11 Jun 2:00 PM - 9:30 PM BST New York / Online (AnyWare)
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7 - 9 Jul 2:00 PM - 9:30 PM BST Herndon, VA / Online (AnyWare)
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8 - 10 Sep 2:00 PM - 9:30 PM BST New York / Online (AnyWare)
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Guaranteed to Run
When you see the "Guaranteed to Run" icon next to a course event, you can rest assured that your course event — date, time — will run. Guaranteed.Data Wrangling with Python Training Information
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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
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Lesson 1: Introduction to Data Structure using Python
- Python for Data Wrangling
- Lists, Sets, Strings, Tuples, and Dictionaries
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Lesson 2: Advanced Operations on Built-In Data Structure
- Advanced Data Structures
- Basic File Operations in Python
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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
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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
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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
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Lesson 6: Learning the Hidden Secrets of Data Wrangling
- Advanced List Comprehension and the zip Function
- Data Formatting
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Lesson 7: Advanced Web Scraping and Data Gathering
- Basics of Web Scraping and BeautifulSoup libraries
- Reading Data from XML
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Lesson 8: RDBMS and SQL
- Refresher of RDBMS and SQL
- Using an RDBMS (MySQL/PostgreSQL/SQLite)
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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
Team Training
Data Wrangling with Python FAQs
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What is data wrangling in Python?
It is the process of unifying and cleaning raw data sets to make them easier to analyse.
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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.