5387 Sciences courses

Duration 4 Days 24 CPD hours This course is intended for This class is intended for experienced developers who are responsible for managing big data transformations including: Extracting, loading, transforming, cleaning, and validating data. Designing pipelines and architectures for data processing. Creating and maintaining machine learning and statistical models. Querying datasets, visualizing query results and creating reports Overview Design and build data processing systems on Google Cloud Platform. Leverage unstructured data using Spark and ML APIs on Cloud Dataproc. Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow. Derive business insights from extremely large datasets using Google BigQuery. Train, evaluate and predict using machine learning models using TensorFlow and Cloud ML. Enable instant insights from streaming data Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hand-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data. Introduction to Data Engineering Explore the role of a data engineer. Analyze data engineering challenges. Intro to BigQuery. Data Lakes and Data Warehouses. Demo: Federated Queries with BigQuery. Transactional Databases vs Data Warehouses. Website Demo: Finding PII in your dataset with DLP API. Partner effectively with other data teams. Manage data access and governance. Build production-ready pipelines. Review GCP customer case study. Lab: Analyzing Data with BigQuery. Building a Data Lake Introduction to Data Lakes. Data Storage and ETL options on GCP. Building a Data Lake using Cloud Storage. Optional Demo: Optimizing cost with Google Cloud Storage classes and Cloud Functions. Securing Cloud Storage. Storing All Sorts of Data Types. Video Demo: Running federated queries on Parquet and ORC files in BigQuery. Cloud SQL as a relational Data Lake. Lab: Loading Taxi Data into Cloud SQL. Building a Data Warehouse The modern data warehouse. Intro to BigQuery. Demo: Query TB+ of data in seconds. Getting Started. Loading Data. Video Demo: Querying Cloud SQL from BigQuery. Lab: Loading Data into BigQuery. Exploring Schemas. Demo: Exploring BigQuery Public Datasets with SQL using INFORMATION_SCHEMA. Schema Design. Nested and Repeated Fields. Demo: Nested and repeated fields in BigQuery. Lab: Working with JSON and Array data in BigQuery. Optimizing with Partitioning and Clustering. Demo: Partitioned and Clustered Tables in BigQuery. Preview: Transforming Batch and Streaming Data. Introduction to Building Batch Data Pipelines EL, ELT, ETL. Quality considerations. How to carry out operations in BigQuery. Demo: ELT to improve data quality in BigQuery. Shortcomings. ETL to solve data quality issues. Executing Spark on Cloud Dataproc The Hadoop ecosystem. Running Hadoop on Cloud Dataproc. GCS instead of HDFS. Optimizing Dataproc. Lab: Running Apache Spark jobs on Cloud Dataproc. Serverless Data Processing with Cloud Dataflow Cloud Dataflow. Why customers value Dataflow. Dataflow Pipelines. Lab: A Simple Dataflow Pipeline (Python/Java). Lab: MapReduce in Dataflow (Python/Java). Lab: Side Inputs (Python/Java). Dataflow Templates. Dataflow SQL. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer Building Batch Data Pipelines visually with Cloud Data Fusion. Components. UI Overview. Building a Pipeline. Exploring Data using Wrangler. Lab: Building and executing a pipeline graph in Cloud Data Fusion. Orchestrating work between GCP services with Cloud Composer. Apache Airflow Environment. DAGs and Operators. Workflow Scheduling. Optional Long Demo: Event-triggered Loading of data with Cloud Composer, Cloud Functions, Cloud Storage, and BigQuery. Monitoring and Logging. Lab: An Introduction to Cloud Composer. Introduction to Processing Streaming Data Processing Streaming Data. Serverless Messaging with Cloud Pub/Sub Cloud Pub/Sub. Lab: Publish Streaming Data into Pub/Sub. Cloud Dataflow Streaming Features Cloud Dataflow Streaming Features. Lab: Streaming Data Pipelines. High-Throughput BigQuery and Bigtable Streaming Features BigQuery Streaming Features. Lab: Streaming Analytics and Dashboards. Cloud Bigtable. Lab: Streaming Data Pipelines into Bigtable. Advanced BigQuery Functionality and Performance Analytic Window Functions. Using With Clauses. GIS Functions. Demo: Mapping Fastest Growing Zip Codes with BigQuery GeoViz. Performance Considerations. Lab: Optimizing your BigQuery Queries for Performance. Optional Lab: Creating Date-Partitioned Tables in BigQuery. Introduction to Analytics and AI What is AI?. From Ad-hoc Data Analysis to Data Driven Decisions. Options for ML models on GCP. Prebuilt ML model APIs for Unstructured Data Unstructured Data is Hard. ML APIs for Enriching Data. Lab: Using the Natural Language API to Classify Unstructured Text. Big Data Analytics with Cloud AI Platform Notebooks What's a Notebook. BigQuery Magic and Ties to Pandas. Lab: BigQuery in Jupyter Labs on AI Platform. Production ML Pipelines with Kubeflow Ways to do ML on GCP. Kubeflow. AI Hub. Lab: Running AI models on Kubeflow. Custom Model building with SQL in BigQuery ML BigQuery ML for Quick Model Building. Demo: Train a model with BigQuery ML to predict NYC taxi fares. Supported Models. Lab Option 1: Predict Bike Trip Duration with a Regression Model in BQML. Lab Option 2: Movie Recommendations in BigQuery ML. Custom Model building with Cloud AutoML Why Auto ML? Auto ML Vision. Auto ML NLP. Auto ML Tables.

Overview Explore trading and hedging applications of barrier options across interest rate, FX, and equity markets. Who the course is for Executives of listed companies who want to enhance their knowledge and skills in ESG and sustainability. Corporate professionals who want to integrate ESG initiatives into their organizations and improve their ESG programs. ESG professionals who want to gain a deep understanding of ESG frameworks, reporting standards, and best practices Course Content To learn more about the day by day course content please click here To learn more about schedule, pricing & delivery options, book a meeting with a course specialist now

Our comprehensive course is designed to provide you with the necessary skills and knowledge to excel in your field. Developed by professionals with years of experience, this course is perfect for anyone looking to kick start their career or advance their skills. It features an audio-visual presentation and easy-to-learn modules, allowing for a self-paced learning experience. Our expert online support team is available during weekdays to assist you throughout the course. Learning Outcomes Upon completion of the course, you will be able to: Understand the fundamentals and its applications. Develop the necessary skills to succeed in the field . Apply your newly acquired knowledge to real-world scenarios. Create effective and efficient solutions for relevant topics. Enhance your employability and career prospects. It is designed to provide you with the knowledge needed to stand out in the competitive job market. With lifetime access to course materials and the ability to learn at your own pace, this course is the perfect opportunity to improve your skills and advance your career. You can learn at your own pace, from the comfort of your home, as all course materials are accessible online at any time. Why Choose Us? Lifetime access to course materials Full tutor support is available Monday through Friday for all courses Learn essentials skills at your own pace from the comfort of your home Gain a thorough understanding of the course Access informative video modules taught by expert instructors 24/7 assistance and advice available through email and live chat Study the course on your computer, tablet, or mobile device Improve your chances of gaining professional skills and earning potential by completing the course. Why should you study this course? The course offers a comprehensive introduction to the subject matter and provides a solid foundation for further study. It will also help students to gain knowledge and skills that can be applied in their professional or personal life. Assessment The course includes a series of quizzes that will test your understanding and retention of the material covered in the course. The quizzes will help you to identify areas where you may need further practice, and you will have the opportunity to review the course materials as needed. Upon successfully passing the final quiz, you will be able to order your certificate of achievement. Career Path The course is designed to equip you with the skills and knowledge you need to succeed in the field. After completing the course, you will be able to pursue a variety of career opportunities in different industries. Course Content COSHH- Control of Substances Hazardous to Health Module 1: Introduction to COSHH Module 2: COSHH legislation Module 3: Identifying Hazardous Substances Module 4: Health Effects of Hazardous Substances Module 5: Risk Assessment for COSHH Module 6: Control Measures for Hazardous Substances Module 7: Personal Protective Equipment Module 8: Emergency Procedures for Hazardous Substances Module 9: Storage and Handling of Hazardous Substances Module 10: Chemical Safety Data Sheets

Duration 3 Days 18 CPD hours This course is intended for Organizations today demand a professional-level cybersecurity threat intelligence analyst who can extract the intelligence from data by implementing various advanced strategies. Such professional-level programs can only be achieved when the core of the curricula maps with and is compliant to government and industry published threat intelligence frameworks. Ethical Hackers Security Practitioners, Engineers, Analysts, Specialist, Architects, and Managers Threat Intelligence Analysts, Associates, Researchers, Consultants Threat Hunters SOC Professionals Digital Forensic and Malware Analysts Incident Response Team Members Any mid-level to high-level cybersecurity professionals with a minimum of 2 years of experience. Individuals from the information security profession and who want to enrich their skills and knowledge in the field of cyber threat intelligence. Individuals interested in preventing cyber threats. Overview This program will benefit students who are looking to build effective threat intelligence for their organization in order to combat modern-day cyber-attacks and prevent future attacks. Certified Threat Intelligence Analyst (C|TIA) is designed and developed in collaboration with cybersecurity and threat intelligence experts across the globe to help organizations identify and mitigate business risks by converting unknown internal and external threats into known threats. It is a comprehensive, specialist-level program that teaches a structured approach for building effective threat intelligence. Introduction to Threat Intelligence Understanding Intelligence Understanding Cyber Threat Intelligence Overview of Threat Intelligence Lifecycle and Frameworks Cyber Threats and Kill Chain Methodology Understanding Cyber Threats Understanding Advanced Persistent Threats (APTs) Understanding Cyber Kill Chain Understanding Indicators of Compromise (IoCs) Requirements, Planning, Direction, and Review Understanding Organization?s Current Threat Landscape Understanding Requirements Analysis Planning Threat Intelligence Program Establishing Management Support Building a Threat Intelligence Team Overview of Threat Intelligence Sharing Reviewing Threat Intelligence Program Data Collection and Processing Overview of Threat Intelligence Data Collection Overview of Threat Intelligence Collection Management Overview of Threat Intelligence Feeds and Sources Understanding Threat Intelligence Data Collection and Acquisition Understanding Bulk Data Collection Understanding Data Processing and Exploitation Data Analysis Overview of Data Analysis Understanding Data Analysis Techniques Overview of Threat Analysis Understanding Threat Analysis Process Overview of Fine-Tuning Threat Analysis Understanding Threat Intelligence Evaluation Creating Runbooks and Knowledge Base Overview of Threat Intelligence Tools Intelligence Reporting and Dissemination Overview of Threat Intelligence Reports Introduction to Dissemination Participating in Sharing Relationships Overview of Sharing Threat Intelligence Overview of Delivery Mechanisms Understanding Threat Intelligence Sharing Platforms Overview of Intelligence Sharing Acts and Regulations Overview of Threat Intelligence Integration

Duration 5 Days 30 CPD hours This course is intended for Network security engineers Network security architects ISE administrators Senior Security Operations Center (SOC) personnel responsible for Incidence Response Cisco integrators and partners Overview After taking this course, you should be able to: Describe the Cisco Identity Services Engine (ISE) Explain Cisco ISE deployment Describe Cisco ISE policy enforcement components Describe Cisco ISE policy configuration Troubleshoot Cisco ISE policy and third-party Network Access Device (NAD) support Configure guest access Configure hotspots and guest portals Describe the Cisco ISE profiler services Describe profiling best practices and reporting Configure a Cisco ISE BYOD solution Configure endpoint compliance Configure client posture services Configure Cisco ISE device administration Describe Cisco ISE TrustSec configurations The Implementing and Configuring Cisco Identity Services Engine (SISE) v4.0 course teaches you to deploy and use Cisco© Identity Services Engine (ISE) v3.x, an identity and access control policy platform that simplifies the delivery of consistent, highly secure access control across wired, wireless, and VPN connections. This hands-on course provides you with the knowledge and skills to implement and apply Cisco ISE capabilities to support use cases for Zero Trust security posture. These use cases include tasks such as policy enforcement, profiling services, web authentication and guest access services, BYOD, endpoint compliance services, and Terminal Access Controller Access Control Server (TACACS+) device administration. Through hands-on practice via lab exercises, you will learn how to use Cisco ISE to gain visibility into what is happening in your network, streamline security policy management, and contribute to operational efficiency. This course helps you prepare to take the Implementing and Configuring Cisco Identity Services Engine (300-715 SISE) exam, which leads to CCNP© Security and the Cisco Certified Specialist - Security Identity Management Implementation certifications. This course also earns you 40 Continuing Education (CE) credits toward recertification Course Outline Introducing Cisco ISE Architecture Introducing Cisco ISE Deployment Introducing Cisco ISE Policy Enforcement Components Introducing Cisco ISE Policy Configuration Troubleshooting Cisco ISE Policy and Third-Party NAD Support Introducing Web Authentication and Guest Services Configuring Hotspots and Guest Portals Introducing the Cisco ISE Profiler Introducing Profiling Best Practices and Reporting Configuring Cisco ISE BYOD Introducing Cisco ISE Endpoint Compliance Services Configuring Client Posture Services and Compliance Working With Network Access Devices Exploring Cisco TrustSec Additional course details: Nexus Humans Cisco Implementing and Configuring Cisco Identity Services Engine v4.0 (SISE) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cisco Implementing and Configuring Cisco Identity Services Engine v4.0 (SISE) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

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Post Graduate Diploma in Logistics and Supply chain is to broaden learners’ understanding of logistics and supply chain management and is designed for those who wish to prepare for a first professional role and future career in the field. Visit EDUBEX to know more on othm level 7 postgraduate diploma in logistics and supply chain management course