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 →
DCP-02 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Register my team →
Training Date
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10 Days
USD 1,700
DCP-02
Training Date
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10 Days
USD 1,700
DCP-02
Training Date
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8 Weeks
USD 1,700
DCP-02
Training Date
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10 Days
USD 1,700
DCP-02
Training Date
to
10 Days
USD 1,700
DCP-02
Training Date
to
8 Weeks
USD 1,700
DCP-02
Training Date
to
10 Days
USD 1,700
DCP-02

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 Canada

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

6

Field-relevant examples that may be featured in training where they support the confirmed scope. Exact coverage depends on participant needs and delivery format.

  • Power Query Microsoft
    The primary tool for data transformation in Canadian corporate environments using Excel and Power BI.
  • Alteryx Designer Alteryx
    Widely adopted by Bay Street financial institutions for complex ETL and automated data preparation workflows.
  • OpenRefine Open Source
    Frequently used by Canadian libraries, journalists, and public sector researchers for cleaning messy text-based datasets.
  • Pandas Python Software Foundation
    The standard library for data manipulation and cleaning in Canada's growing AI and data science hubs.
  • Tableau Prep Builder Salesforce
    Used by Canadian marketing and business intelligence teams to visually clean data before dashboarding.
  • Great Expectations Superconductive
    An emerging tool in Canadian data engineering for validating data quality and preventing 'data pipeline debt'.

Real-World Case Studies from Canada

1
  • Statistics Canada Quality Assurance Framework 2021
    Statistics Canada

    Statistics Canada implements a rigorous 'Data Journey' framework that prioritizes data cleaning and validation as a foundational step before analysis. This includes the use of standardized tools for error detection and missing value imputation across national census and survey data.

    Ensures the 'Accuracy' and 'Coherence' dimensions of the national statistical system, preventing erroneous policy decisions based on raw administrative data.

    View source

Real Results from Real Professionals

Thousands of professionals have transformed their careers through our training programs. Now, it's your turn.

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Barbours
Bank of Rwanda
RFA
Dahabshil Bank
Dorcas Aid
Finn Church Aid
KCB Foundation
Ministry of Education Saudi Arabia
NSSF Uganda
RBA
Reserve Bank of Malawi
WASREB Kenya
Virginia Commonwealth University