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Big Data LDN
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Tableau
Natural Language
Explain Data
Register for this course and see more details by visiting:
OpenCourser.com/course/10ybac/discover
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Helps learners understand the ‘why’ hidden in the data, which is a feature new in Tableau in 2019, with Explain Data
Develops Explain Data skills, which allows learners to identify causes and see relationships they didn't know existed
Strengthens existing foundation for intermediate learners
Taught by Becky O'Connor, who will share the hidden truths about crime using the latest and greatest version of Tableau
Teaches skills that are highly relevant in an academic setting
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Discover the “Why” You Didn't Know Existed.
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Career center
Learners who complete Discover the “Why” You Didn't Know Existed will develop knowledge and skills
that may be useful to these careers:
Data Visualization Specialist
Data Visualization Specialist
A Data Visualization Specialist is responsible for creating visual representations of data that can be easily understood by stakeholders. This course can help you develop the skills you need to be a successful Data Visualization Specialist, including how to use Tableau to explore data, identify trends, and communicate your findings.
Crime Analyst
Crime Analyst
A Crime Analyst is responsible for collecting, analyzing, and interpreting data to help law enforcement agencies understand crime patterns and develop strategies to prevent crime. This course can help you develop the skills you need to be a successful Crime Analyst, including how to use Tableau to explore data, identify trends, and communicate your findings.
Fraud Analyst
Fraud Analyst
A Fraud Analyst is responsible for detecting and investigating fraud. This course can help you develop the skills you need to be a successful Fraud Analyst, including how to use Tableau to explore data, identify trends, and communicate your findings.
Business Analyst
Business Analyst
A Business Analyst is responsible for understanding the needs of a business and its customers, and then developing solutions to improve the business. This course can help you develop the skills you need to be a successful Business Analyst, including how to use Tableau to analyze data, identify trends, and communicate your findings.
Data Analyst
Data Analyst
A Data Analyst is responsible for collecting, cleaning, and analyzing data to help businesses understand their customers, make better decisions, and improve their products and services. This course can help you develop the skills you need to be a successful Data Analyst, including how to use Tableau to explore data, identify trends, and communicate your findings.
Market Researcher
Market Researcher
A Market Researcher is responsible for collecting and analyzing data about customers, markets, and competitors. This course can help you develop the skills you need to be a successful Market Researcher, including how to use Tableau to explore data, identify trends, and communicate your findings.
Data Scientist
Data Scientist
A Data Scientist is responsible for developing and using models to analyze data and make predictions. This course can help you develop the skills you need to be a successful Data Scientist, including how to use Tableau to explore data, identify trends, and communicate your findings.
Statistician
Statistician
A Statistician is responsible for collecting, analyzing, and interpreting data. This course can help you develop the skills you need to be a successful Statistician, including how to use Tableau to explore data, identify trends, and communicate your findings.
Risk Analyst
Risk Analyst
A Risk Analyst is responsible for identifying and assessing risks. This course can help you develop the skills you need to be a successful Risk Analyst, including how to use Tableau to explore data, identify trends, and communicate your findings.
Data Journalist
Data Journalist
A Data Journalist is responsible for using data to tell stories and inform the public. This course can help you develop the skills you need to be a successful Data Journalist, including how to use Tableau to explore data, identify trends, and communicate your findings.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst is responsible for using mathematical models to solve business problems. This course can help you develop the skills you need to be a successful Operations Research Analyst, including how to use Tableau to explore data, identify trends, and communicate your findings.
Financial Analyst
Financial Analyst
A Financial Analyst is responsible for analyzing financial data to make recommendations about investments. This course can help you develop the skills you need to be a successful Financial Analyst, including how to use Tableau to explore data, identify trends, and communicate your findings.
Public Health Analyst
Public Health Analyst
A Public Health Analyst is responsible for collecting and analyzing data to improve public health. This course can help you develop the skills you need to be a successful Public Health Analyst, including how to use Tableau to explore data, identify trends, and communicate your findings.
Actuary
Actuary
An Actuary is responsible for assessing financial risks. This course can help you develop the skills you need to be a successful Actuary, including how to use Tableau to explore data, identify trends, and communicate your findings.
Data Engineer
Data Engineer
A Data Engineer is responsible for designing and building data pipelines. This course can help you develop the skills you need to be a successful Data Engineer, including how to use Tableau to visualize data.
For more career information including salaries, visit:
OpenCourser.com/course/10ybac/discover
Reading list
We've selected 14 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
Discover the “Why” You Didn't Know Existed.
Save
Explores the emerging field of human computation, where humans and machines collaborate to solve complex problems. It provides insights into the design and implementation of human-powered computation systems, which are essential for understanding the 'why' behind data-driven insights.
Save
Provides a comprehensive overview of the big data revolution and its implications for society. It explores the challenges and opportunities of data-driven decision-making and offers insights into the 'why' behind data-driven insights.
Provides a practical guide to the design and implementation of data science projects. It covers all aspects of the data science process, from data collection and cleaning to model building and evaluation.
Save
Comprehensive textbook on data mining techniques. It provides a solid foundation in the fundamentals of data mining and valuable resource for students and practitioners alike.
Provides a gentle introduction to machine learning concepts and techniques. It good starting point for those who are new to the field.
Save
Comprehensive textbook on deep learning. It covers all aspects of deep learning, from the basics to the latest advances.
Provides a comprehensive guide to using Python for data analysis. It covers all aspects of data analysis, from data cleaning and manipulation to data visualization and modeling.
Save
Provides a comprehensive guide to using R for data science. It covers all aspects of data science, from data cleaning and manipulation to data visualization and modeling.
Save
Provides a comprehensive guide to using SQL for data analysis. It covers all aspects of SQL, from the basics to advanced techniques.
Provides a gentle introduction to NoSQL databases. It good starting point for those who are new to the field.
Provides a comprehensive guide to using Hadoop for data analysis. It covers all aspects of Hadoop, from the basics to advanced techniques.
Provides a comprehensive guide to using Spark for data analysis. It covers all aspects of Spark, from the basics to advanced techniques.
Provides a comprehensive guide to using Python for machine learning. It covers all aspects of machine learning, from the basics to advanced techniques.
Provides a comprehensive guide to using Python for deep learning. It covers all aspects of deep learning, from the basics to advanced techniques.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/10ybac/discover
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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:
- 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
- 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 (viewing)
- 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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