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Big Data LDN
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Data Governance
Customer Service
Data Strategy
Data Management
Data Quality
Data Analytics
Business Intelligence
Register for this course and see more details by visiting:
OpenCourser.com/course/a05q3l/data
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Teaches concepts and theories common in corporate settings that are core to understanding data and business needs
Examines data governance, which is critical for ensuring data quality and integrity
Develops skills and knowledge that can help learners establish and maintain successful data governance programs
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Data Governance as a Customer Service.
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Career center
Learners who complete Data Governance as a Customer Service will develop knowledge and skills
that may be useful to these careers:
Data Governance Analyst
Data Governance Analyst
A Data Governance Analyst helps ensure that data is managed and used in a consistent and compliant manner across an organization. This course can help you develop the skills needed to succeed in this role by providing you with a comprehensive understanding of data governance principles and practices. You will learn how to develop and implement data governance policies, procedures, and standards. You will also learn how to assess data quality and ensure that data is used ethically and responsibly.
Data Governance Manager
Data Governance Manager
A Data Governance Manager is responsible for overseeing the development and implementation of an organization's data governance program. This course can help you prepare for this role by providing you with the skills and knowledge you need to lead a successful data governance initiative. You will learn how to develop a data governance strategy, build a data governance team, and implement data governance tools and technologies.
Data Architect
Data Architect
A Data Architect designs and builds data systems and solutions. This course can help you develop the skills needed to succeed in this role by providing you with a deep understanding of data governance principles and practices. You will learn how to design data systems that are compliant with data governance requirements. You will also learn how to develop data governance policies and procedures.
Data Engineer
Data Engineer
A Data Engineer builds and maintains data pipelines and systems. This course can help you develop the skills needed to succeed in this role by providing you with a strong foundation in data governance principles and practices. You will learn how to design and implement data pipelines that are compliant with data governance requirements. You will also learn how to develop data governance policies and procedures.
Data Scientist
Data Scientist
A Data Scientist uses data to solve business problems. This course can help you develop the skills needed to succeed in this role by providing you with a strong foundation in data governance principles and practices. You will learn how to use data to make informed decisions and develop data-driven solutions. You will also learn how to ensure that data is used ethically and responsibly.
Chief Data Officer
Chief Data Officer
A Chief Data Officer (CDO) is responsible for overseeing an organization's data strategy and data governance program. This course can help you prepare for this role by providing you with the skills and knowledge you need to lead a successful data governance initiative. You will learn how to develop a data governance strategy, build a data governance team, and implement data governance tools and technologies.
Data Privacy Officer
Data Privacy Officer
A Data Privacy Officer (DPO) is responsible for protecting an organization's data from unauthorized access, use, or disclosure. This course can help you prepare for this role by providing you with a comprehensive understanding of data privacy laws and regulations. You will learn how to develop and implement data privacy policies and procedures. You will also learn how to conduct data privacy audits and respond to data privacy breaches.
Information Technology Manager
Information Technology Manager
An Information Technology Manager is responsible for planning, implementing, and maintaining an organization's IT systems. This course can help you develop the skills needed to succeed in this role by providing you with a strong foundation in data governance principles and practices. You will learn how to design and implement IT systems that are compliant with data governance requirements. You will also learn how to develop data governance policies and procedures.
Information Security Officer
Information Security Officer
An Information Security Officer (ISO) is responsible for protecting an organization's information assets from unauthorized access, use, or disclosure. This course can help you prepare for this role by providing you with a comprehensive understanding of information security principles and practices. You will learn how to develop and implement information security policies and procedures. You will also learn how to conduct information security audits and respond to information security breaches.
Business Analyst
Business Analyst
A Business Analyst works with stakeholders to understand their business needs and develop solutions to meet those needs. This course can help you develop the skills needed to succeed in this role by providing you with a strong foundation in data governance principles and practices. You will learn how to use data to make informed decisions and develop data-driven solutions. You will also learn how to ensure that data is used ethically and responsibly.
Project Manager
Project Manager
A Project Manager is responsible for planning, executing, and delivering projects. This course may be useful for Project Managers who are working on data governance projects. The course will provide you with a comprehensive understanding of data governance principles and practices. You will learn how to develop and implement data governance policies and procedures. You will also learn how to manage data governance projects successfully.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course may be useful for Software Engineers who are working on data governance projects. The course will provide you with a comprehensive understanding of data governance principles and practices. You will learn how to design and develop software applications that are compliant with data governance requirements. You will also learn how to implement data governance policies and procedures.
Database Administrator
Database Administrator
A Database Administrator is responsible for managing and maintaining an organization's databases. This course may be useful for Database Administrators who are working on data governance projects. The course will provide you with a comprehensive understanding of data governance principles and practices. You will learn how to design and implement databases that are compliant with data governance requirements. You will also learn how to manage data governance policies and procedures.
Data Analyst
Data Analyst
A Data Analyst collects, cleans, and analyzes data to identify trends and patterns. This course may be useful for Data Analysts who are working on data governance projects. The course will provide you with a comprehensive understanding of data governance principles and practices. You will learn how to use data to make informed decisions and develop data-driven solutions. You will also learn how to ensure that data is used ethically and responsibly.
Information Architect
Information Architect
An Information Architect designs and builds information systems. This course may be useful for Information Architects who are working on data governance projects. The course will provide you with a comprehensive understanding of data governance principles and practices. You will learn how to design and build information systems that are compliant with data governance requirements. You will also learn how to implement data governance policies and procedures.
For more career information including salaries, visit:
OpenCourser.com/course/a05q3l/data
Reading list
We've selected five books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Data Governance as a Customer Service.
Provides a practical guide to data governance, covering topics such as data stewardship, data quality, and data security. It valuable resource for anyone who is looking to implement or improve a data governance program.
Provides a practical guide to data governance, covering topics such as data governance frameworks, data governance tools, and data governance best practices. It valuable resource for anyone who is looking to implement or improve a data governance program.
Provides a comprehensive overview of data governance in the digital age, including its challenges and opportunities. It valuable resource for anyone who is looking to implement or improve a data governance program in a digital environment.
Provides a detailed overview of data governance, including its principles, practices, and benefits. It valuable resource for anyone who is looking to implement or improve a data governance program.
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Provides a comprehensive overview of data management, including its principles, practices, and benefits. It valuable resource for anyone who is looking to become a data management professional.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/a05q3l/data
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Big Data LDN
This course belongs to a
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Big Data LDN 2019 . It's comprised of 101 courses:
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- Achieving 100% Adoption of Analytics in the Enterprise
- Data Skills: How Mondi Does Digital
- Building a Modern Data Architecture for the Data Driven Enterprise
- Harnessing the Power of Data to Improve Public Health
- Real-time Data Analytics at Scale Using Cloud Services
- Quick and Easy Access to Data through a Logical Data Warehouse Environment
- The Promise of Data Mastering at Scale
- Research vs. Reality in AI: Would You Trust Your Model with Your Life?
- Modernise Your IT Infrastructure for AI
- Scaling Machine Learning at Holiday Extras
- Why Do Some Machine Learning Models Fail?
- AI: Lessons Learned from the Front Line
- Machine Learning in Real-time: Predicting Taxi Fare in NYC
- How AI and Automated Machine Learning Will Disrupt the Organisational Alignment of Businesses
- Multi-model Powered Machine Learning
- ML in Production: Serverless and Painless
- Leveraging Data Virtualization to Maximize Advanced Analytics and Machine Learning Potential in Your Data Architecture
- Bring the Power of Watson to AWS and Azure: Watson Anywhere Powered by Cloud Pak for Data
- Modern Data Warehousing at Scale Using Azure Data Factory
- Balancing Performance, Scalability, and High Availability in Your Database Environment
- Enabling Microservices for Big Data On-demand in the Cloud
- From ETL to ELT: Building a Scalable Data Stack with SQL
- Data, Governance, and Freedom
- How to Get the Technology Stack Right for Your Business
- Data Modelling with Apache Cassandra
- How to Orchestrate Your ML Pipelines in Hybrid Cloud
- Full Stack Metadata Driven Thinking to Drive Business Agility
- Enhance Developer Experience Using OpenShift on Azure
- Fast Data for Faster Business
- Driving Faster, Smarter Actions on IoT Data with New Real-time Analytics Capabilities
- Introduction to Adept and How Big Data and Analytics Is Transforming the Connected Car Ecosystem
- Bridge to Cloud
- How to Train Your AI Models at Scale
- 99% of Your IoT Data Is Worthless, but Which 99%?
- Data Engineering in MagicLab: The Birth and Life of an Event
- RNA - Event Stream Processing Made Simple
- When Data Leads, Transformation Follows - A Look at Qlik's Data Integration Portfolio
- Saving Energy in Homes with a Unified Approach to Data and AI
- Building Stream Processing Applications with Apache Kafka Using KSQL
- Real-world, Real-time Digital Transformation
- Machine Data in Industry 4.0: How to Handle It Better
- Why CockroachDB in the Kindred Platform?
- The Hardest Part of AI & Analytics Is Not AI, It Is Data Management
- Effective Cloud Migration Strategies for Your Modern Data Applications
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- The Future of Business Intelligence Isn't a Tool
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- The Next Generation of Data Architecture
- Modern Enterprise Data Engineering
- Taking Control of User Analytics with Snowplow
- Flex Your Data(Ops) Muscles
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- Building Predictive Maintenance Solutions
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- Rethinking Data Warehouse Modernization in the Age of Hybrid Cloud/On-premise Data Warehouses
- From Waterfall to Agile – A Data Warehouse Modernisation Story
- Freeing up Engineering and Infrastructure Resources to Scale with DataOps
- Unit Testing with pytest
- Credit Card Fraud – Why the Database Matters
- Data Science at SEGA
- British Telecom: Data-driven Digital Transformation
- Using Cloud Solution Platforms to Drive Business Value and Cost Optimization
- Data Analytics & IoT Innovations at Bosch
- Converting the CDO to a Profit Centre
- Why Self-service Data Analytics Usually Fails & Ideas for Succeeding
- Governed Data Discovery
- Journey to Create a Great Analytic Culture
- Something Amazing for Everyone: Embracing Inclusive Design to Deliver Accessible Experiences
- Democratising Data – How We Built a Self-serve Data Platform
- Discover the “Why” You Didn't Know Existed
- Selecting Your Fantasy Premier League Team with Advanced Analytics
- Decouple Storage from Compute
- Data Skills: Building a Data Team Fit for a Data-driven Enterprise
- Consent, Compliance, and the Impact on Customer Experience
- AI & Communication: Meaningful Data from New Sources
- Real-time Personalised Customer Interaction at Scale
- Data: The Musical, with LW Theatres
- Self-service and Tableau Community at Lloyds Banking Group
- The Digital Hero’s Journey: Using Big Data to Uncover Business Value and Meaning at Work
- Using Location Intelligence to Place Solar Panels in Rwanda
- Embedding Intelligence into the Heart of Customer Operations
- The Art of Customer Conversations
- How to Build a Fully Autonomous Card Fraud Detection System
- At Last! The Real-time Customer Experience
- Data Privacy Mythbusting
- Demystifying Data – What They Don’t Tell You at Data School
- Optimizing Your Data Value Chain with Agile Data Management
- Data at SEGA Europe
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- Top 10 Privacy Tips & Tricks in Big Data
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- 7 AI Quick Win Projects
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- The Culture Competition – Personalisation vs. Privacy
- DataOps for AI and Digital Transformation
- Big Data LDN: A GDPR Retrospective
- GDPR: A Sword Not a Shield
- Drive Business Growth While Satisfying GDPR and CCPA
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