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75 Maths courses in Wimborne Minster delivered Live Online

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

Online Tutoring For All Ages

By Teaching4you

Teaching4you is a tuition company that works to encourage and build confidence in students nationwide.

Online Tutoring For All Ages
Delivered OnlineFlexible Dates
FREE to £35

0G53BG IBM SPSS Statistics Essentials (V26)

By Nexus Human

Duration 2 Days 12 CPD hours This course is intended for New users of IBM SPSS Statistics Users who want to refresh their knowledge about IBM SPSS Statistics Anyone who is considering purchasing IBM SPSS Statistics Overview Introduction to IBM SPSS Statistics Review basic concepts in IBM SPSS Statistics Identify the steps in the research process Review basic analyses Use Help Reading data and defining metadata Overview of data sources Read from text files Read data from Microsoft Excel Read data from databases Define variable properties Selecting cases for analyses Select cases for analyses Run analyses for groups Apply report authoring styles Transforming variables Compute variables Recode values of categorical and scale variables Create a numeric variable from a string variable Using functions to transform variables Use statistical functions Use logical functions Use missing value functions Use conversion functions Use system variables Use the Date and Time Wizard Setting the unit of analysis Remove duplicate cases Create aggregate datasets Restructure datasets Merging data files Add cases from one dataset to another Add variables from one dataset to another Enrich a dataset with aggregated information Summarizing individual variables Define levels of measurement Summarizing categorical variables Summarizing scale variables Describing the relationship between variables Choose the appropriate procedure Summarize the relationship between categorical variables Summarize the relationship between a scale and a categorical variable Creating presentation ready tables with Custom Tables Identify table layouts Create tables for variables with shared categories Create tables for multiple response questions Customizing pivot tables Perform Automated Output Modification Customize pivot tables Use table templates Export pivot tables to other applications Working with syntax Use syntax to automate analyses Create, edit, and run syntax Shortcuts in the Syntax Editor Controlling the IBM SPSS Statistics environment Set options for output Set options for variables display Set options for default working folders This course guides students through the fundamentals of using IBM SPSS Statistics for typical data analysis. Students will learn the basics of reading data, data definition, data modification, data analysis, and presentation of analytical results. In addition to the fundamentals, students will learn shortcuts that will help them save time. This course uses the IBM SPSS Statistics Base; one section presents an add-on module, IBM SPSS Custom Tables. Introduction to IBM SPSS Statistics Review basic concepts in IBM SPSS Statistics Identify the steps in the research process Review basic analyses Use Help Reading data and defining metadata Overview of data sources Read from text files Read data from Microsoft Excel Read data from databases Define variable properties Selecting cases for analyses Select cases for analyses Run analyses for groups Apply report authoring styles Transforming variables Compute variables Recode values of categorical and scale variables Create a numeric variable from a string variable Using functions to transform variables Use statistical functions Use logical functions Use missing value functions Use conversion functions Use system variables Use the Date and Time Wizard Setting the unit of analysis Remove duplicate cases Create aggregate datasets Restructure datasets Merging data files Add cases from one dataset to another Add variables from one dataset to another Enrich a dataset with aggregated information Summarizing individual variables Define levels of measurement Summarizing categorical variables Summarizing scale variables Describing the relationship between variables Choose the appropriate procedure Summarize the relationship between categorical variables Summarize the relationship between a scale and a categorical variable Creating presentation ready tables with Custom Tables Identify table layouts Create tables for variables with shared categories Create tables for multiple response questions Customizing pivot tables Perform Automated Output Modification Customize pivot tables Use table templates Export pivot tables to other applications Working with syntax Use syntax to automate analyses Create, edit, and run syntax Shortcuts in the Syntax Editor Controlling the IBM SPSS Statistics environment Set options for output Set options for variables display Set options for default working folders Additional course details: Nexus Humans 0G53BG IBM SPSS Statistics Essentials (V26) 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 0G53BG IBM SPSS Statistics Essentials (V26) 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.

0G53BG IBM SPSS Statistics Essentials (V26)
Delivered OnlineFlexible Dates
Price on Enquiry

Data-driven Business Using Statistical Analysis

By Nexus Human

Duration 2 Days 12 CPD hours This course is intended for This course is suited to marketeers, business analysts, and researchers who are interested in increasing their statistical knowledge. Overview After attending this course, delegates will understand how statistics can be used to provide valuable insight into their business, and be able to apply statistical methods to solve business problems. On returning to work delegates will immediately be able to make a difference to the way that their organisations make decisions. This course covers the statistical methods that analysts need to move from simple reporting on business problems to extracting insight to solve business problems. Course Outline The course will explore the following topics through a series of lectures and workshops: Summary statistics for both continuous data and categorical data Using and reporting confidence intervals Using hypothesis tests to answer business questions Using correlations to explore data relationships Simple prediction models Analysing categorical data Additional course details: Nexus Humans Data-driven Business Using Statistical Analysis 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 Data-driven Business Using Statistical Analysis 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.

Data-driven Business Using Statistical Analysis
Delivered OnlineFlexible Dates
Price on Enquiry

GCSE & IGCSE tuition

By Wessex Tutors & Exam Centre

GCSE & IGCSE one-to-one tuition

GCSE  & IGCSE tuition
Delivered in Southampton or OnlineFlexible Dates
Price on Enquiry
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Educators matching "Maths"

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Primary Leap

primary leap

Ringwood

All over the world, parents, educators, business leaders and experts, are all trying to identify the skills and abilities that young children need to succeed in the future. It is estimated that 65% of children entering primary school today will ultimately end up working in completely new job positions that do not exist yet. The world is changing and education needs to change with it. All children develop in their own way and at their own pace. Our mission is to help children discover their gift, and encourage teachers and educators to nurture it, so that no child is left behind. Our online platform enables teachers to spend more time teaching and less time on administration by replacing tedious paperwork with a digital, easy to use system. This speeds up class planning and keeps material organised, ready to use and impossible to lose! In this modern age where technology is intricately intertwined with our everyday lives, we believe in using technology the right way. No more mountains of folders to sieve through, no more hours wasted trying to retrieve last year’s work... believe us when we say we’ve been there before! As teachers, we know how much time is taken away from doing what we really love. As parents, we understand the desire to give our children the best, and to provide them with opportunities we didn’t have. As people, we know how it felt to lose our confidence at school and the pressure to fit into a box that was not shaped to our needs and talents. We’ve dedicated years to create our PrimaryLeap platform which centres around progressive learning, allowing children to gain confidence quickly and educators to easily detect where a child needs the most help. When we help a child believe in themselves we empower them for life.

Stonebridge Associated Colleges

stonebridge associated colleges

4.0(419)

Bournemouth

Stonebridge Associated Colleges is a team of bright and motivated people dedicated to helping learners fulfil their potential and meet their career goals. Set up in 1995, Stonebridge Associated Colleges was initially intended to help people qualify in complementary therapies, such as reflexology and aromatherapy. Gradually, it moved towards more mainstream practices such as teaching, nursing, healthcare, business, nutrition and beauty. Some of the students we helped went on to study Marine Biology at university. Others have chosen teaching assistant courses that have landed them an early promotion. As their needs diversified, so did our curriculum. Two decades later the college became a leading name in the world of further education. Today, Stonebridge Associated Colleges has training facilities in Bude and Birmingham for a few of our vocational courses where our experienced tutors bring a hands-on approach to the teaching. However, there are over 650 online courses that can be completed remotely from anywhere in the world. With 50,000 students currently enrolled, the college is one of the largest distance learning suppliers in the UK. A dedicated support team is also on hand to address student questions regarding enrolment, finances and guidance on the best-suited courses for you. Today we are proud to be part of The Stonebridge Group, a number of companies operating in the distance learning field for both government-subsidised and commercially-funded qualifications.

Highcliffe School

highcliffe school

Dorset,

We believe this atmosphere stems from the ethos passionately promoted by the Governors, school leaders and staff. Our Prospectus aims to give you an insight into the ethos which animates everything we do and how we do it. Caring, Supporting and Encouraging Firstly, we believe young people learn best when they feel safe, supported, and encouraged. Our pastoral care system, alongside our approach to behaviour management and to Rewards, creates a ‘one big family’ feel among students and staff where negative behaviours are not accepted and positive attitudes and successes are celebrated daily. Students say that ‘this is a friendly school’. This view is endorsed by parents who are extremely positive about their children’s safety and the care and guidance they receive. - Ofsted Passionate about Learning Secondly, we believe a first-class education will make a huge difference to every Highcliffe student, opening their minds, developing their powers of reasoning and deepening their knowledge and understanding of the complex world around them. We believe education changes lives and that educated people can change the world. We are passionate about learning, and we communicate our passion for learning and its benefits in everything we do. We encourage students to throw themselves into the experience of secondary school and achieve excellence. We use education to prepare our students for life and equip them with the intellectual powers and personal awareness to aspire to make a difference to the world around them. Our daughter has embraced starting at Highcliffe School. The experience has been extremely positive and most importantly she is very happy. - A Highcliffe Parent The academic rigour of learning at Highcliffe underpins our students’ excellent examination success. Our year groups always achieve well above the national average in GCSE and A Level results. We believe in 2013 and 2015 the proportion of Highcliffe students achieving at least 5 GCSE Grades A*-C including Maths and English by the end of Year 11 was higher than any other nearby Dorset, Bournemouth or New Forest comprehensive school. Our Sixth Form students regularly achieve the top grades, often gaining places on the most academic degree courses at the most prestigious universities. We have an exemplary record gaining college places, apprenticeships or employment for our vocationally talented students at age 16 or 18. As a consequence according to government figures we have one of the very highest proportions nationally of former students now securely in further education, training or employment compared to schools similar to Highcliffe.