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AI for Tech

Data Wrangling: Data Preparation and Transformation

Learn how to transform raw, messy datasets into clean and structured data using Python. This course equips you with practical techniques to inspect, clean, and enrich data for reporting, analytics, and ML workflows.
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Prepare datasets for analysis by mastering data cleaning, visualization, and transformation techniques using Python and Pandas.
Duration
25 hours
Level
Beginner
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Who is this program for

Data analysts and data scientists preparing datasets for analysis and modeling.
BI specialists working with reporting and stakeholder-facing data.
Data engineers seeking a strong foundation in data transformation logic.
Professionals who regularly work with “dirty” or unstructured data.
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Recommended prerequisites

* If you need to strengthen your Python fundamentals, you can refer to the course The Basics of Python for Data Analysis before starting this program.
You are familiar with basic Python syntax (variables, loops, functions).
You understand tabular data structures (rows, columns).
You have worked with CSV or Excel files.
You have experience generating reports or working with datasets.

Modules overview

9 Modules
Module 1. Reading and viewing data
Module 2. Working with missing and duplicate values
Module 3. Filtering data
Module 4. Data visualization
Module 5. Data types
Module 6. Feature engineering
Module 7. Data transformation
Module 8. Final project
Module 9. Final assessment

Get in touch!

You’re just one email away from transforming your company! Our team will reach out to understand your strategic objectives and craft a tailored solution that meets your specific needs.
Fill in the form
Learn about our product
Get a personalized offer for your business needs
We’ll reach out to understand your goals and craft a solution that works for you