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Big Data LDN
Big Data LDN 2019 | Harnessing the Power of Data to Improve Public Health | Peter Bradley
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Big Data LDN 2019 | Harnessing the Power of Data to Improve Public Health | Peter Bradley
Read more
Big Data LDN 2019 | Harnessing the Power of Data to Improve Public Health | Peter Bradley
Tech and data provide the health sector with innovative, more efficient, and cost-effective ways to tackle some of the biggest health challenges our nation faces. This session looks at the role that data plays in a new way of intelligent public health where everyone has access to their health information and many more health interventions are targeted or personalized. Specifically, how Public Health England is exploring how combining consumer generated data with traditional healthcare data could create more meaningful two-way engagement with the public, helping people to take greater control of their well-being, as well as how digital design can improve the uptake of data outputs in decision making. Attendees will leave this session with an understanding of: How the government is harnessing the power of data to use data, artificial intelligence and innovation to transform the prevention, early diagnosis, and treatment of chronic diseases by 2030; as well as helping to achieve an extra five years of Disability Free Life Expectancy, and the unique challenges that those operating in the public health space face when it comes to data.
This course is no longer available. Find a similar course by searching these:
big data in public health
big data in healthcare
data-driven public health
public health data
public health analytics
chronic disease prevention
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What's inside
Syllabus
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Read about what's good
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possible dealbreakers
Teaches how to harness the power of data to improve public health, which is increasingly crucial in healthcare
Examines the role of data in intelligent public health, which is highly relevant to the field
Analyzes how combining consumer generated data with traditional healthcare data can enhance public engagement and well-being, which is essential for improving health outcomes
Explores how digital design can aid in the adoption of data outputs in decision-making, which is valuable for data-driven decision-making in the healthcare sector
Discusses the challenges faced in leveraging data in the public health domain, which provides insights into common obstacles and potential solutions
Offers insights into how the government utilizes data, artificial intelligence, and innovation to transform healthcare, which is highly relevant to those working in public health policy and administration
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Harnessing the Power of Data to Improve Public Health.
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Career center
Learners who complete Harnessing the Power of Data to Improve Public Health will develop knowledge and skills
that may be useful to these careers:
Public Health Informatics Specialist
Public Health Informatics Specialist
Public Health Informatics Specialists use computer science, information technology, and public health knowledge to improve public health outcomes. This course may be helpful for those wishing to become Public Health Informatics Specialists as it covers the role of data in public health and how data can be used to improve public health.
Health Informatics Specialist
Health Informatics Specialist
Health Informatics Specialists combine their knowledge of the healthcare system with information technology and computer science to improve healthcare. This course may be helpful for those wishing to become Health Informatics Specialists, as they need to be knowledgeable about the use of data in healthcare and public health.
Health Policy Analyst
Health Policy Analyst
Health Policy Analysts develop and evaluate health policies. This course may be helpful for those wishing to become Health Policy Analysts as it provides an understanding of the role of data in healthcare and how data can be used to inform policy decisions.
Epidemiologist
Epidemiologist
Epidemiologists investigate the causes of disease and other health problems. This course may be useful for those wishing to become Epidemiologists as it focuses on the role of data in public health and how it can be used to identify and prevent health problems.
Public Health Nutritionist
Public Health Nutritionist
Public Health Nutritionists use nutrition to prevent and treat diseases and promote health in communities. This course may be helpful for those wishing to become Public Health Nutritionists as it provides an understanding of how data is used in public health and how it can be used to improve public health outcomes.
Clinical Data Manager
Clinical Data Manager
Clinical Data Managers oversee the collection, management, and analysis of clinical data during clinical trials. This course may be helpful for those wishing to become Clinical Data Managers as it provides an understanding of the role of data in healthcare and how data can be used to improve patient outcomes.
Healthcare Data Engineer
Healthcare Data Engineer
Healthcare Data Engineers design, build, and maintain data systems for healthcare organizations. This course may be helpful for those wishing to become Healthcare Data Engineers as it covers the fundamentals of data engineering and how data can be used to improve healthcare.
Health Economist
Health Economist
Health Economists apply economic principles to healthcare to improve the efficiency and effectiveness of healthcare systems. This course may be helpful for those wishing to become Health Economists as it provides an understanding of the role of data in healthcare and how data can be used to improve healthcare outcomes.
Public Health Data Analyst
Public Health Data Analyst
Public Health Data Analysts analyze big data and use that analysis to improve public health outcomes. This course may be useful for helping to build a foundation in data analytics for those wishing to become Public Health Data Analysts.
Medical Researcher
Medical Researcher
Medical Researchers conduct research to understand the causes and treatments of diseases. This course may be helpful for those wishing to become Medical Researchers as it focuses on the role of data in public health and how it can be used to identify and prevent health problems.
Data Scientist
Data Scientist
Data Scientists use scientific methods and processes to extract knowledge and insights from data in various fields, including healthcare. This course may be useful for helping to build a foundation in using data to solve problems for those wishing to become Data Scientists.
Statistician
Statistician
Statisticians collect, analyze, and interpret data to provide insights and solve problems. This course may be helpful for those wishing to become Statisticians as it covers the fundamentals of data analysis and how data can be used to make informed decisions.
Pharmaceutical Data Analyst
Pharmaceutical Data Analyst
Pharmaceutical Data Analysts collect and analyze data to help pharmaceutical companies make decisions about drug development, marketing, and sales. This course may be helpful for those wishing to become Pharmaceutical Data Analysts as it provides an understanding of how data is used in the healthcare industry.
Biostatistician
Biostatistician
Biostatisticians apply mathematics and statistics to medicine and public health. This course may be helpful for those wishing to become Biostatisticians, as data is an important element in the field and is used to plan and conduct health studies.
Health Librarian
Health Librarian
Health Librarians help individuals find and evaluate health information. This course may be helpful for those wishing to become Health Librarians as it provides an understanding of the role of data in healthcare and how data can be used to improve public health.
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Time
23 hours
Level
Intermediate
Via
Pluralsight
Instructor
Big Data LDN
Language
English
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
- Building a Modern Data Architecture for the Data Driven Enterprise
- Harnessing the Power of Data to Improve Public Health (viewing)
- 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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