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521 Educators providing Bike courses delivered Live Online

Bike For Good Glasgow West

bike for good glasgow west

Scotland

Bike for Good is a charity and social enterprise which started in July 2010 in a small stall in Glasgow’s Barras market. With a few donated bikes, a cobbled-together tool kit and a team of volunteers with a huge amount of passion and drive, Bike for Good (then known as Glasgow Bike Shed) was born! We now have three thriving Community Hubs in Glasgow and an amazing team of 42 staff members and 50 + volunteers who are changing thousands of lives through cycling. We have a West Hub, a South Hub and a hub on Civic Street which you can read more about here. You can learn more about the members of our amazing team. Many of our wonderful volunteers have shared their experiences of working with Bike for Good through our online case studies. Bike for Good provides access to low cost but good quality bikes whilst diverting tonnes of waste from landfill. These bikes are kindly donated by members of the public and are then refurbished and sold in our two Community Hubs. Find out more about how to donate your bike. On average, our team of mechanics refurbish over 1000 bikes per year, diverting tonnes of waste from landfill while also providing access to affordable bikes to the public. Find out more about how to buy a refurbished bike. As well as the environmental impact of this work, the income from bike sales helps to fund our work in the community. To keep your bike in tip-top condition, our expert mechanics offer a comprehensive bike maintenance and repair service. The aim is to keep you cycling all year round. In addition, we offer a comprehensive programme of inclusive projects which promote, support and encourage greater levels of cycling. Cycling has a multitude of benefits for society, from environmental improvements to health promotion and financial savings. We have created a series of projects and services which seek to highlight this to the public and fill a gap in current provision. Our work is structured under three impact themes: Active Travel – promotes cycling as a sustainable form of transport through the delivery of: Refurbished bike sales and bike servicing Bike and e-bike loans Community Dr Bikes (pop up bike maintenance sessions) Maintenance classes Bike Buddies programme Weekly cycle training sessions E-cargo bike loans Confidence building led rides Extensive film and speaker event programme Skills and Development – improves the life chances of young people and adults who are not engaged in full time education or employment through the delivery of: Maintenance classes City and Guilds qualifications Build your own bike courses Fix your own bike sessions, including ones for young people Govanhill Gears Kids Club (led ride and learn to ride activities) Bespoke volunteering and development programme Women and non-binary specific maintenance programme Health and Wellbeing – improves the mental and physical wellbeing of people with long-term health conditions through the delivery of: 1:1 cycle confidence building sessions Weekly group rides Supporting partner organisations and participants to create their own cycling groups/hubs Providing an affordable transport option to those on a low income via reduced price Nextbike memberships Weekly women and non-binary specific cycle training sessions You can find out more about these services and how to access them through the Get a Bike, Repair a Bike, Get Cycling and Develop Your Skills pages. Recently we launched a subsidiary organisation (in partnership with Vélogik) called Motion Forward which provides business to business service and fleet maintenance. A share of the income from Motion Forward will help deliver our charitable work. vision, mission and values Our projects and services are all designed to help achieve our vision and mission: vision A healthy and inclusive environment where everyone in the community benefits from more people cycling. mission We enable people to ride a bike. We believe that cycling is the most effective and sustainable form of transport; we believe it enhances our chances for a healthy life and environment. values Passionate – We are passionate about cycling as a tool for positive change. Supportive – We work at the heart of communities, empowering people and building partnerships. To make this happen, we nurture a collaborative work environment. Environmentally aware – We protect and preserve the environment for the benefit of all. Expertise – We continuously develop our skills and share them with our volunteers and staff, and throughout the community.

Courses matching "Bike"

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Data Engineering on Google Cloud

By Nexus Human

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.

Data Engineering on Google Cloud
Delivered OnlineFlexible Dates
Price on Enquiry

Motorcycle Skills - Improve your Riding in Eight Weeks

By Kevin Williams

'Motorcycle Skills - Improve your Riding in Eight Weeks' is an online distance learning e-course which will help motorcyclists improve their riding skills. It's suitable for intermediate and advanced riders.

Motorcycle Skills - Improve your Riding in Eight Weeks
Delivered OnlineFlexible Dates
£160