Virtual Training
Data Science, AI, and Advanced Analytics
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.
10 Days
Duration
Live Online
Delivery
7 Dates
Available
Certificate
Included
Master Data Wrangling and Cleaning Techniques to eliminate analytical bias, automate complex ETL workflows, and deliver high-integrity datasets for advanced business intelligence.
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
1
Data Quality Foundations and ISO 8000 Standards
2
Data Profiling and Exploratory Data Analysis
3
Structural Transformation and Tidy Data Principles
4
Handling Missing Data and Statistical Imputation
5
Outlier Detection and Noise Reduction
6
Advanced String Manipulation and Regular Expressions
7
Temporal and Categorical Data Normalization
8
Relational Wrangling and Multi-source Integration
9
Wrangling Semi-Structured JSON and XML Data
10
Automated ETL Pipeline Development
11
Data Governance
12
Capstone: End-to-End Wrangling Strategy
Market-specific guidance for Congo, The Democratic Republic of the
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 OpenRefineUseful for clustering, standardising, and reconciling messy free-text fields such as names, locations, and categories before analysis.
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Python pandas Python Software FoundationUsed to script repeatable cleaning steps such as type conversion, missing-value handling, deduplication, and reshaping datasets.
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SQLite SQLite ConsortiumUsed for lightweight SQL-based validation, joins, and data quality checks when teams need a simple local database workflow.
Where this course runs
Data Wrangling and Cleaning Techniques Training is delivered in the cities below — pick the one that fits your schedule.
