IBM
IBM Data Management Professional Certificate
IBM

IBM Data Management Professional Certificate

Get job-ready for your first data-related role. Build skills and hands-on experience employers are looking for & power up your resume in less than 3 months. No degree or prior experience required.

IBM Skills Network Team
Dr. Pooja
Skill-Up EdTech Team

Instructors: IBM Skills Network Team

4,234 already enrolled

Included with Coursera Plus

Earn a career credential that demonstrates your expertise
4.8

(115 reviews)

Beginner level

Recommended experience

3 months
at 10 hours a week
Flexible schedule
Learn at your own pace
Earn a career credential that demonstrates your expertise
4.8

(115 reviews)

Beginner level

Recommended experience

3 months
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Complete set of job-ready skills to kickstart your career as a data manager in less than 6 months. No prior experience required. 

  • Practical, hands-on skills using essential tools such as spreadsheets, business intelligence (BI), databases, and SQL.

  • Key skills for collaborating across teams, aligning data strategies with business objectives, and communicating data insights using visualizations.

  • A solid foundation of data management concepts, including cloud environments, data processing, integration, storage, scalability, and security.

Details to know

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Taught in English
Recently updated!

March 2025

Professional Certificate - 12 course series

What you'll learn

  • List basic skills required for an entry-level data engineering role.

  • Discuss various stages and concepts in the data engineering lifecycle.

  • Describe data engineering technologies such as Relational Databases, NoSQL Data Stores, and Big Data Engines.

  • Summarize concepts in data security, governance, and compliance.

Skills you'll gain

Category: Data Analysis
Category: Microsoft Excel
Category: IBM Cognos Analytics
Category: Dashboard
Category: Data Visualization

What you'll learn

  • Display working knowledge of Excel for Data Analysis.

  • Perform basic spreadsheet tasks including navigation, data entry, and using formulas.

  • Employ data quality techniques to import and clean data in Excel.

  • Analyze data in spreadsheets by using filter, sort, look-up functions, as well as pivot tables.

Skills you'll gain

Category: Statistics
Category: Data Analysis
Category: Microsoft Excel
Category: Business Intelligence (BI)
Category: Data Visualization

What you'll learn

  • Describe the fundamental concepts of statistics and apply them to business and data analytics settings.

  • Apply data collection, analysis, and interpretation techniques to derive actionable insights for making informed business decisions.

  • Apply descriptive and inferential analysis methods to derive insights and actionable recommendations from data.

  • Apply hypothesis testing, regression analysis, and forecasting to support business decision-making processes.

Skills you'll gain

Category: Strategic Test-Taking Skills
Category: Leveraging Study Resources
Category: Navigating Certification Requirements
Category: Assessing Exam Readiness
Category: Mastering Exam Structure & Format

What you'll learn

  • Create basic visualizations such as line graphs, bar graphs, and pie charts using Excel spreadsheets.

  • Explain the important role charts play in telling a data-driven story. 

  • Construct advanced charts and visualizations such as Treemaps, Sparklines, Histogram, Scatter Plots, and Filled Map Charts.

  • Build and share interactive dashboards using Excel and Cognos Analytics.

Skills you'll gain

Category: Data Migration
Category: Data Management
Category: data storage
Category: Data Architectures
Category: Data Storage
Category: Data Integration

What you'll learn

  • Describe data, databases, relational databases, and cloud databases.

  • Describe information and data models, relational databases, and relational model concepts (including schemas and tables). 

  • Explain an Entity Relationship Diagram and design a relational database for a specific use case.

  • Develop a working knowledge of popular DBMSes including MySQL, PostgreSQL, and IBM DB2

Skills you'll gain

Category: Data Analysis
Category: Tableau (Business Intelligence Software)
Category: Dashboard
Category: Tableau Software
Category: Data Visualization

What you'll learn

  • Analyze data within a database using SQL.

  • Create a relational database on Cloud and work with tables.

  • Write SQL statements including SELECT, INSERT, UPDATE, and DELETE.

  • Build more powerful queries with advanced SQL techniques like views, transactions, stored procedures and joins.

Skills you'll gain

Category: Data Science
Category: Database (DBMS)
Category: Information Engineering
Category: SQL
Category: NoSQL
Data Warehouse Fundamentals

Data Warehouse Fundamentals

Course 715 hours

What you'll learn

  • Job-ready data warehousing skills in just 6 weeks, supported by practical experience and an IBM credential.

  • Design and populate a data warehouse, and model and query data using CUBE, ROLLUP, and materialized views.

  • Identify popular data analytics and business intelligence tools and vendors and create data visualizations using IBM Cognos Analytics.

  • How to design and load data into a data warehouse, write aggregation queries, create materialized query tables, and create an analytics dashboard.

Skills you'll gain

Category: Database (DB) Design
Category: Postgresql
Category: Relational Database Management System (RDBMS)
Category: Database Architecture
Category: MySQL
Getting Started with Tableau

Getting Started with Tableau

Course 812 hours

What you'll learn

  • Understand Tableau's fundamental concepts, significance in data visualization, diverse product range and key features crucial for data professionals.

  • Analyze and evaluate the capabilities of Tableau Public as a powerful Business Intelligence (BI) tool for data visualization and analysis.

  • Implement relationships between data tables, use Tableau calculations for analytics, empower user interaction, and apply filters and highlighting.

  • Develop expertise in Tableau dashboard design principles, organize visual elements effectively, and apply best practices for interactive dashboards.

Skills you'll gain

Category: Data Management
Category: Data Visualization
Category: Data Security
Category: SQL
Category: Data Governance
Category: Data Warehouse

What you'll learn

  • Build valuable applied data storage, integration, and migration skills employers need. 

  • Gain hands-on experience using industry-specific data tools.

  • Demonstrate you understand data-related best practices and can apply methodologies through industry-standard processes. 

  • Showcase your ability to solve problems related to data processes that you can talk about in interviews.

Skills you'll gain

Category: Encryption Techniques
Category: Risk Management
Category: Data Security
Category: Data Governance
Category: Data Privacy

What you'll learn

  • Develop and implement effective data privacy and security strategies.

  • Understand and apply security measures to protect and govern organizational data.

  • Conduct risk assessments and implement appropriate risk management practices.

  • Navigate and comply with relevant legal and regulatory compliance requirements.

Skills you'll gain

Category: Cubes
Category: Data Warehousing
Category: Snowflake Schemas
Category: Data Lakes
Category: Rollups
Category: Data Marts
Category: Star Schemas

What you'll learn

  • Integrate valuable applied data management skills employers need for a wide range of data-related roles in a culminating project. 

  • Gain hands-on experience using industry-specific data tools including Excel, SQL, PostgreSQL, Tableau, etc.

  • Demonstrate best practices and apply those methodologies through industry-standard processes, data design, governance, security, and reporting.

  • Showcase your ability to solve problems relevant to working with data that you can discuss with colleagues and prospective employers.

Skills you'll gain

Category: Data Analysis
Category: Relational Database Management System (RDBMS)
Category: SQL
Category: Create, Read, Update And Delete
Category: MySQL

What you'll learn

  • Evaluate your CompTIA Data+ exam readiness with practice exercises using real-world scenarios and statistical methods for data-driven decisions.

  • Summarize the CompTIA Data+ (DA0-001) certification process, including eligibility criteria, objectives, resources, and associated costs.

  • Explain core competency areas of the certification, including data mining, manipulation, basic statistical methods, and governance standards.

  • Identify and apply tools and techniques for analyzing complex datasets to derive insights aligned with business requirements.

Skills you'll gain

Category: Data Science
Category: Spreadsheet
Category: Data Analysis
Category: Microsoft Excel
Category: Pivot Table

Earn a career certificate

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Instructors

IBM Skills Network Team
IBM
63 Courses1,163,284 learners
Dr. Pooja
IBM
4 Courses324,281 learners
Skill-Up EdTech Team
SkillUp EdTech
77 Courses172,177 learners

Offered by

IBM
SkillUp EdTech

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Frequently asked questions

¹ Median salary and job opening data are sourced from Lightcast™ Job Postings Report. Content Creator, Machine Learning Engineer and Salesforce Development Representative (1/1/2024 - 12/31/2024) All other job roles (3/1/2024 - 3/1/2025)