In many organizations, data still moves through manual file handling and ad hoc edits, so staff need practical routines for deduplication, standardization, and validation before reports are shared.
Virtual Training
Data Science, AI, and Advanced Analytics
Data Preparation and Cleaning Online Course
Join our virtual, live instructor-led session and master Data Preparation and Cleaning Training from anywhere in the world.
10 Days
Duration
Live Online
Delivery
7 Dates
Available
Certificate
Included
Turn messy data into powerful insights—start with clean, structured, analysis-ready information.
Upcoming Virtual Training Schedules
Join from anywhere in the world with our live instructor-led sessions
| Code | Start Date | End Date | Duration | Fee | |
|---|---|---|---|---|---|
| DCP-02 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| DCP-02 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| DCP-02 | Weekend (8 Weeks) | USD 1,700 | Reserve my seat → Register my team → | ||
| DCP-02 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| DCP-02 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| DCP-02 | Weekend (8 Weeks) | 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
Why Data Cleaning Matters
2
Understanding Data Structures
3
Common Data Issues and How to Spot Them
4
Cleaning with Excel
5
Data Cleaning with Python
6
Structuring Data for Reporting
7
Validating and Verifying Data
8
Documenting Your Data Cleaning Process
9
Building Better Data Habits
10
Automating Repetitive Cleaning Tasks
Market-specific guidance for Libya
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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Microsoft Excel MicrosoftCommonly used for cleaning, sorting, validation, and reconciliation of operational datasets before reporting or import into other systems.
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Power BI MicrosoftUsed to build dashboards from cleaned data and quickly expose gaps, duplicates, and inconsistent categories in source files.
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SQL Server Management Studio MicrosoftUsed by data and IT teams to inspect tables, run quality checks, and correct records before downstream reporting.
Where this course runs
Data Preparation and Cleaning Training is delivered in the cities below — pick the one that fits your schedule.
