Data Wrangling and Cleaning Techniques Online Course
Join our virtual, live instructor-led session and master Data Wrangling and Cleaning Techniques Training from anywhere in the world.
Upcoming Virtual Training Schedules
Join from anywhere in the world with our live instructor-led sessions
| Code | Start Date | End Date | Duration | Fee | |
|---|---|---|---|---|---|
| DWC-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| DWC-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| DWC-01 | Weekend (8 Weeks) | USD 1,700 | Reserve my seat → Register my team → | ||
| DWC-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| DWC-01 | Weekend (8 Weeks) | USD 1,700 | Reserve my seat → Register my team → | ||
| DWC-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → |
Here's What You'll Learn
Each module tackles real challenges you face in your role
Data Quality Foundations and ISO 8000 Standards
Data Profiling and Exploratory Data Analysis
Structural Transformation and Tidy Data Principles
Handling Missing Data and Statistical Imputation
Outlier Detection and Noise Reduction
Advanced String Manipulation and Regular Expressions
Temporal and Categorical Data Normalization
Relational Wrangling and Multi-source Integration
Wrangling Semi-Structured JSON and XML Data
Automated ETL Pipeline Development
Data Governance
Capstone: End-to-End Wrangling Strategy
Market-specific guidance for United States
A country-aware view of the pressures, proof points, and practical tools that shape how this course applies locally.
Tools and platforms relevant to this field
3Field-relevant examples that may be featured in training where they support the confirmed scope. Exact coverage depends on participant needs and delivery format.
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OpenRefine OpenRefineUsed to reconcile messy, inconsistent records, cluster near-duplicate values, and standardize fields during exploratory cleaning.
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Python Python Software FoundationUsed with data libraries to script repeatable cleaning workflows, transformations, and validation checks.
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Pandas pandas development teamUsed for tabular data wrangling, filtering, deduplication, type conversion, and reshaping datasets before analysis.
Where this course runs
Data Wrangling and Cleaning Techniques Training is delivered in the cities below — pick the one that fits your schedule.























