What does the Unlocking Big Data course cover?
Unlocking Big Data is covered here in 7 modules: Introduction to Big Data: Big Data applications: business, healthcare, finance, and more, Data Collection and Storage: Data sources: social media, IoT, sensors, and more, Data Processing and Analysis: Data visualization: data visualization tools and techniques and 4 more. The outline lists 28 specific topics, opening with What is Big Data?
How do you approach Unlocking Big Data step by step?
The work is sequenced in 7 stages. It starts with introduction to Big Data: Big Data applications: business, healthcare, finance, and more, moves through data Collection and Storage: Data sources: social media, IoT, sensors, and more and data Processing and Analysis: Data visualization: data visualization tools and techniques, and ends at Big Data Security and Governance: Regulatory compliance: GDPR, HIPAA, and CCPA.
What is in Module 1 of the Unlocking Big Data course?
Module 1 is Introduction to Big Data: Big Data applications: business, healthcare, finance, and more. It works through What is Big Data?, types of Big Data: structured, semi-structured, and unstructured, big Data characteristics: volume, velocity, variety, and veracity and 1 more. It sets the vocabulary the remaining 6 modules build on.
How is the Unlocking Big Data course delivered?
The Unlocking Big Data course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.
How much does the Unlocking Big Data course cost?
The Unlocking Big Data course is $199 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.
Closely related courses: Collections Software in Big Data, Structured Insights in Big Data, Operational Insights in Big Data, Customer Insights in Big Data.
More answers: what you get with every course, refund policy, all help answers.
Unlocking Big Data: From Collection to Insight
Course Overview
Unlocking Big Data: From Collection to Insight is a comprehensive course that covers the entire spectrum of Big Data, from data collection to insight generation. Participants will learn the fundamentals of Big Data, including data collection, storage, processing, and analysis. The course is designed to be interactive, engaging, and personalized, with real-world applications and hands-on projects.Course Objectives
- Understand the fundamentals of Big Data and its applications
- Learn how to collect, store, process, and analyze large datasets
- Gain hands-on experience with Big Data tools and technologies
- Develop skills in data analysis, visualization, and insight generation
- Apply Big Data concepts to real-world problems and case studies
Course Outline
Module 1. Introduction to Big Data: Big Data applications: business, healthcare, finance, and more
- What is Big Data?
- Types of Big Data: structured, semi-structured, and unstructured
- Big Data characteristics: volume, velocity, variety, and veracity
- Big Data applications: business, healthcare, finance, and more
Module 2. Data Collection and Storage: Data sources: social media, IoT, sensors, and more
- Data sources: social media, IoT, sensors, and more
- Data storage options: relational databases, NoSQL databases, and data warehouses
- Data ingestion: batch processing, real-time processing, and data streaming
- Data governance: data quality, data security, and data compliance
Module 3. Data Processing and Analysis: Data visualization: data visualization tools and techniques
- Data processing options: batch processing, real-time processing, and data streaming
- Data analysis techniques: descriptive analytics, predictive analytics, and prescriptive analytics
- Data visualization: data visualization tools and techniques
- Machine learning: supervised learning, unsupervised learning, and deep learning
Module 4. Big Data Tools and Technologies: Cloud computing: AWS, GCP, and Azure
- Hadoop ecosystem: HDFS, MapReduce, and YARN
- NoSQL databases: MongoDB, Cassandra, and Redis
- Data warehousing: Amazon Redshift, Google BigQuery, and Azure Synapse Analytics
- Cloud computing: AWS, GCP, and Azure
Module 5. Data Analysis and Visualization: Data visualization tools: Tableau, Power BI, and D3.js
- Data analysis techniques: data mining, text analysis, and sentiment analysis
- Data visualization tools: Tableau, Power BI, and D3.js
- Statistical analysis: hypothesis testing, confidence intervals, and regression analysis
- Machine learning: model evaluation, model selection, and model deployment
Module 6: Big Data Case Studies and Applications
- Business applications: customer segmentation, market basket analysis, and recommendation systems
- Healthcare applications: disease diagnosis, patient outcomes, and personalized medicine
- Finance applications: risk management, portfolio optimization, and credit scoring
- Real-world case studies: success stories and lessons learned
Module 7. Big Data Security and Governance: Regulatory compliance: GDPR, HIPAA, and CCPA
- Data security: data encryption, access control, and data masking
- Data governance: data quality, data compliance, and data stewardship
- Regulatory compliance: GDPR, HIPAA, and CCPA
- Big Data ethics: data privacy, data bias, and data transparency
Course Features
- Interactive and engaging: hands-on projects, quizzes, and gamification
- Comprehensive and up-to-date: covers the latest Big Data tools and technologies
- Personalized and flexible: self-paced learning, mobile-accessible, and lifetime access
- Expert instructors: industry experts with real-world experience
- Certification: receive a certificate upon completion
- Community-driven: discussion forums, live webinars, and community support
- Actionable insights: apply Big Data concepts to real-world problems
- Hands-on projects: work on real-world projects and case studies
- Bite-sized lessons: learn in short, manageable chunks
- Progress tracking: track your progress and stay motivated