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Data Quality - The Complete Course

The Data Quality - The Complete Course equips data engineers, data analysts, and data stewards with end-to-end skills to detect, diagnose, and resolve data quality issues in modern pipelines. It solves the critical pain point of unreliable data by teaching automated validation, profiling, and cleansing techniques using open-source tools. 83% of enterprises report data quality as a top barrier to analytics success, making these skills essential.

This course prepares learners for the DAMA CDMP Data Quality Specialist exam, which requires a 70% passing score on a 90-minute, open-book test. Koenig Solutions includes 30-day lab access for hands-on practice with real-world datasets, ensuring mastery of data validation rules and quality metrics. Graduates gain the expertise to lead data trust initiatives and improve organizational data maturity.

8 Hours (1 Days)
Live Online / Classroom
2+ professionals trained

Training Formats & Pricing

1-on-1 USD 750
Dedicated instructor, your schedule Fastest
Public Batch USD 600
Group class, fixed schedule Most Popular
Self-Paced USD 199
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Course Overview

The Data Quality - The Complete Course by Open Source is a comprehensive training program designed for data analysts, data engineers, and data stewards who aim to master the principles and practices of ensuring high-quality data across enterprise systems. This course provides in-depth coverage of data quality dimensions such as completeness, uniqueness, validity, accuracy, consistency, and timeliness, aligning with industry standards used by organizations leveraging data-driven decision-making. Participants prepare for the foundational concepts tested in certifications like the CDMP Data Quality Specialist exam, gaining skills directly applicable to real-world data governance and quality assurance roles. With data quality initiatives now adopted by over 70% of Fortune 500 companies to improve analytics reliability, this course equips professionals with in-demand expertise to meet growing employer needs.

Learners engage with key open-source tools including Pandas, Great Expectations, Deequ, and OpenMetadata, using Python and YAML to define and execute data quality rules programmatically. The hands-on lab environment is built on Jupyter Notebook, where students configure and run data validation workflows against realistic datasets, such as customer records and transaction logs. A core project involves building a data quality pipeline that ingests raw data, applies a series of rule-based checks via YAML configurations, and generates automated reports using the DataQualityConfig framework. Students also integrate data quality tests into ETL workflows, simulating production environments where data validation acts as a quality gate before downstream consumption.

This course prepares learners for the CDMP Data Quality Specialist certification, a widely recognized credential in data management that validates expertise in data quality assessment and improvement. Certified professionals report salary increases of up to 25%, with data quality analysts earning between $60,000 and $101,000 annually in the United States, depending on experience and location. Koenig Solutions enhances this learning path with Guaranteed-to-Run batches and official courseware, ensuring consistent access to up-to-date content and expert-led instruction. Upon completion, graduates are equipped to lead data quality initiatives, reduce data-related business risks, and advance into senior data governance or data engineering roles.

What You'll Learn

Quantify core Data Quality dimensions including accuracy, completeness, consistency, timeliness, and validity to drive business decision-making and operational efficiency within Data Quality - The Complete Course by Open Source.
Architect automated validation rules using Great Expectations to identify data anomalies early and reduce data latency by 20 percent.
Standardize data parsing and normalization methods across distributed systems to eliminate discrepancies and achieve 99 percent record linkage accuracy for reliable analytics.
Execute data cleansing and enrichment strategies using dbt to enhance dataset completeness and accuracy for strategic decision-making.
Engineer identity resolution and record linkage processes to consolidate disparate sources and eliminate duplicate records, directly improving customer service effectiveness.
Automate Data Quality workflows using Deequ and AI-assisted tools to scale governance processes and reduce manual data remediation efforts by 40 percent.

Prerequisites

Recommended knowledge before taking this course
  • Basic SQL and relational database concepts, including tables, keys, and joins, are essential for mastering Data Quality - The Complete Course by Open Source. Familiarity with these fundamentals helps ensure data accuracy and consistency in your projects.
  • Experience writing Python functions and using pip to install packages is crucial for effectively implementing data validation and quality checks in the Data Quality - The Complete Course by Open Source. This skill accelerates your ability to automate data processes.
  • Understanding ETL processes and idempotency in data pipelines is vital for maintaining reliable data workflows. The Data Quality - The Complete Course by Open Source covers these concepts to help you prevent data duplication and errors.
  • Familiarity with data validation frameworks such as Great Expectations or pandera enhances your ability to ensure data integrity. The course equips you with practical skills to implement these frameworks efficiently.
  • Ability to create and run Python virtual environments (venv) is important for managing project dependencies. This knowledge is included in Data Quality - The Complete Course by Open Source to streamline your development process.
  • Hands-on experience with data quality monitoring and adversarial thinking about data integrity prepares you to identify vulnerabilities and improve data trustworthiness. The course emphasizes practical application to boost your data governance skills.
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Certification Exam

Everything you need to know about the Data Quality - The Complete Course certification exam

Exam Details
Exam Name
Data Quality - The Complete Course
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Not applicable; learners have unlimited access to course materials to review concepts as needed.
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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Mastering Data Quality Fundamentals
Data cleaning essentials Core data quality dimensions Identifying common data errors Data wrangling lifecycle stages Data cleaning in data science Detecting quality issues early Analyzing data quality impacts Setting up course environment
2
Day 2– Syntactic Quality via Regular Expressions
Solving pattern-based errors Constructing robust regular expressions Extracting and matching data Validating complex data formats Transforming text using regex Resolving inconsistent data entries Standardizing data with regex Regular Expressions practical lab
3
Day 3– Efficient Cleaning with OpenRefine
OpenRefine platform introduction Exploring and importing datasets Clustering values for consistency Standardizing column data types Executing advanced OpenRefine transformations Filtering and faceting datasets Exporting refined, clean data OpenRefine hands-on lab
4
Day 4– Relational Modeling and Data Queries
Relational data model foundations Effective schema design principles Querying structured relational data Analyzing complex data dependencies Managing primary and foreign keys Applying data normalization concepts Enforcing schema-level integrity Applied relational modeling exercises
5
Day 5– Integrity Constraints using Datalog
Implementing Datalog declarative rules Defining formal integrity constraints Validating dataset logical consistency Performing cross-table data validation Applying Datalog semantic rules Detecting errors with logic Datalog practical homework lab Advanced constraint modeling techniques

What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Hands-On Lab

Live Lab Sandbox

Real Environment

Practice in a real lab environment with full access to the tools and services covered in the course.

30+ Guided Labs

30+

Step-by-step lab exercises designed to reinforce each module with practical, hands-on tasks.

Lab Manual Included

Full Guide

Comprehensive lab guide with detailed instructions, screenshots, and troubleshooting tips.

Post-Training Access

30 Days

30 days of extended lab access after your training ends so you can continue practicing.

Career Outcomes

78%

of Data Quality - The Complete Course certified professionals report career advancement within 6 months

Salary Impact

+22%

Average salary increase reported after obtaining the Data Quality - The Complete Course certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

5
  • Data Quality Analyst
  • Data Governance Specialist
  • Data Steward
  • Data Quality Engineer
  • Master Data Management Specialist

Companies Hiring

5,000+
Google Microsoft Amazon Deloitte Accenture IBM Oracle JP Morgan Capgemini Infosys

and 5,000+ organizations worldwide seeking Data Quality - The Complete Course certified professionals

Real Transformations

Course Student Reviews

Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.

18,400+
Verified Reviews
4.9 / 5
Average Rating
95%
Would Recommend
1M+
Professionals Trained
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
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