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Big Data LDN
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Digital Transformation
Data Management
Team Building
Communication
Technology Integration
Register for this course and see more details by visiting:
OpenCourser.com/course/qhhsj6/data
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Explores the challenges of integrating specialists into a traditional multinational industry, a relevant issue for many organizations
Introduces the Digital Transformation team, shedding light on how companies can build effective teams for digital transformation
Provides practical insights from Mondi, a well-known multinational company
May be less relevant to learners outside of traditional multinational industries
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Data Skills: How Mondi Does Digital.
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Career center
Learners who complete Data Skills: How Mondi Does Digital will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts translate raw data into useful information that can be used to make informed decisions. In this course, you will learn how to collect, clean, and analyze data, as well as how to present your findings in a clear and concise way. This course is ideal for those who want to enter the field of data analysis or advance their career.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models. In this course, you will learn the basics of machine learning, including how to build and train models, as well as how to deploy them in a production environment. This course is ideal for those who want to enter the field of machine learning or advance their career.
Data Scientist
Data Scientist
Data Scientists develop and use statistical and machine learning models to solve business problems. In this course, you will learn the basics of data science, including how to build and train models, as well as how to interpret and communicate your results. This course is ideal for those who want to enter the field of data science or advance their career.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data systems. In this course, you will learn the basics of data engineering, including how to design and build data pipelines, and how to manage and monitor data systems. This course is ideal for those who want to enter the field of data engineering or advance their career.
Business Intelligence Manager
Business Intelligence Manager
Business Intelligence Managers are responsible for the overall business intelligence strategy of an organization. In this course, you will learn the basics of business intelligence, including how to develop and implement business intelligence roadmaps, and how to manage business intelligence risk. This course is ideal for those who want to enter the field of business intelligence or advance their career.
Business Analyst
Business Analyst
Business Analysts work with stakeholders to identify and solve business problems. In this course, you will learn the basics of business analysis, including how to gather requirements, analyze data, and develop solutions. This course is ideal for those who want to enter the field of business analysis or advance their career.
Data Architect
Data Architect
Data Architects design and build data architectures. In this course, you will learn the basics of data architecture, including how to design and build data models, and how to manage data quality. This course is ideal for those who want to enter the field of data architecture or advance their career.
Chief Data Officer
Chief Data Officer
Chief Data Officers are responsible for the overall data strategy of an organization. In this course, you will learn the basics of data governance, including how to develop and implement data policies, and how to manage data risk. This course is ideal for those who want to enter the field of data governance or advance their career.
Chief Technology Officer
Chief Technology Officer
Chief Technology Officers are responsible for the overall technology strategy of an organization. In this course, you will learn the basics of technology strategy, including how to develop and implement technology roadmaps, and how to manage technology risk. This course is ideal for those who want to enter the field of technology strategy or advance their career.
Chief Digital Officer
Chief Digital Officer
Chief Digital Officers are responsible for the overall digital strategy of an organization. In this course, you will learn the basics of digital strategy, including how to develop and implement digital roadmaps, and how to manage digital risk. This course is ideal for those who want to enter the field of digital strategy or advance their career.
Product Manager
Product Manager
Product Managers are responsible for developing and launching new products. In this course, you will learn the basics of product management, including how to conduct market research, develop product requirements, and manage the product development process. This course is ideal for those who want to enter the field of product management or advance their career.
Chief Information Officer
Chief Information Officer
Chief Information Officers are responsible for the overall information technology strategy of an organization. In this course, you will learn the basics of information technology strategy, including how to develop and implement information technology roadmaps, and how to manage information technology risk. This course is ideal for those who want to enter the field of information technology strategy or advance their career.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. In this course, you will learn the basics of software engineering, including how to design and build software systems, and how to test and deploy software applications. This course is ideal for those who want to enter the field of software engineering or advance their career.
Project Manager
Project Manager
Project Managers plan and execute projects. In this course, you will learn the basics of project management, including how to plan and scope projects, and how to manage project teams. This course is ideal for those who want to enter the field of project management or advance their career.
Consultant
Consultant
Consultants help organizations improve their performance. In this course, you will learn the basics of consulting, including how to identify and solve business problems, and how to communicate your findings to clients. This course is ideal for those who want to enter the field of consulting or advance their career.
For more career information including salaries, visit:
OpenCourser.com/course/qhhsj6/data
Reading list
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Presents a lean approach to developing new products and services, which is particularly relevant for digital transformation efforts.
Presents a step-by-step guide to digital transformation, covering everything from developing a vision to implementing new technologies. It valuable resource for businesses of all sizes.
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Provides a detailed overview of the Scrum framework, which is widely used for agile software development and can be applied to digital transformation projects.
Focuses on the practical aspects of digital transformation, providing guidance on how to use Agile, DevOps, and Lean methodologies to achieve business results.
Provides a broad overview of the Fourth Industrial Revolution, discussing its impact on society, the economy, and business.
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Provides a comprehensive overview of digital transformation, covering key concepts, strategies, and case studies. It is suitable for both beginners and experienced professionals.
Offers a practical guide to digital transformation, with a focus on developing a successful strategy. It draws on the author's experience as a founder of Siebel Systems.
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Tells a fictional story about a DevOps transformation, highlighting the importance of collaboration and communication.
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Explores the impact of digital technologies on business models and corporate innovation.
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Provides a comprehensive guide to DevOps best practices, covering topics such as continuous integration, continuous delivery, and test-driven development.
Provides a high-level overview of digital transformation, focusing on its implications for business leaders.
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Provides a beginner-friendly introduction to digital transformation, covering key concepts and practical tips.
Discusses the challenges that established companies face when confronting disruptive technologies.
This practical guide focuses on data management in the cloud, covering topics such as cloud data storage, data migration, and data security. It is recommended for IT professionals and architects responsible for designing and implementing cloud data solutions.
Provides a framework for assessing and improving data management maturity, covering topics such as data governance, data quality, and data architecture. It is suitable for data management professionals and leaders seeking to enhance their organization's data management capabilities.
Provides a business-oriented introduction to data science, covering topics such as data mining, data visualization, and predictive analytics. It is recommended for business professionals and managers seeking to understand and leverage data for decision-making.
Focuses on data management for analytics, covering topics such as data engineering with Hadoop and Spark, and NoSQL database management. It is suitable for data engineers and analysts seeking to leverage big data technologies for data-driven decision-making.
This expert-level book provides insights into data governance, metadata management, and data integration, covering topics such as data quality, data security, and data sharing. It is recommended for data management professionals and leaders seeking to enhance their skills and understanding.
Serves as a gentle introduction to data management, covering the fundamentals of data collection, storage, organization, and analysis. It is appropriate for beginners and those seeking a broad understanding of data management.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/qhhsj6/data
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Big Data LDN
This course belongs to a
collection
called
Big Data LDN 2019 . It's comprised of 101 courses:
- The Database Is Only Half Done
- Your AI Is Wrong! Lessons from Decision-making with Imperfect AI
- Multiparadigm Data Science: The Next Frontier in Decision Making
- Achieving 100% Adoption of Analytics in the Enterprise
- Data Skills: How Mondi Does Digital (viewing)
- 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
- Snowflake? Why Should I Care?
- The Future of Business Intelligence Isn't a Tool
- AI-driven Retail for the 21st Century
- The Next Generation of Data Architecture
- Modern Enterprise Data Engineering
- Taking Control of User Analytics with Snowplow
- Flex Your Data(Ops) Muscles
- You Love Big Data, so Does R
- Building Predictive Maintenance Solutions
- Quickly, Codelessly Connect Any Application to Any REST API
- 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
- Keep Your Data Lake from Getting Hadooped
- Top 10 Privacy Tips & Tricks in Big Data
- Data Governance as a Customer Service
- 7 AI Quick Win Projects
- Delivering Value with Intelligent Data Governance
- 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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