794 Relationships courses in Halstead delivered Live Online

Learn how to use Microsoft Project to create and resource robust project plans and how to maintain and track throughout the project lifecycle. Course overview Duration: 1 day (6.5 hours) Our Project Planning and Control course gives you the essential skills to use Microsoft Project to build, resource and monitor project schedules. It looks at initial setup, building plans, using a work breakdown structure and managing resources through to baselining and progressing your schedule. This course is designed for new or existing users of Microsoft Project, and no previous experience of Project is required. Knowledge of planning techniques would be an advantage. Objectives  By the end of the course you will be able to: Create project schedules Build a Work Breakdown Structure Create relationships Set baselines Manage resources Set deadlines and task properties Print and report on your project Update and track project schedules Content Creating a new project Project defaults Project start date Setting default hours per day/week Setting daily working times Project timeline Building a project Creating a work breakdown structure Adding tasks and durations Estimated durations Setting milestones Recurring tasks Linking, Baselining and Resourcing Setting start dates and dependencies Task Inspector Resourcing Assigning resources Filtering available resources Baseline Setting a baseline Removing a baseline Managing resources Resource properties Dealing with over allocations Tasking information Constraint dates Setting deadline Assigning task specific calendars Task types Updating your project Completing work Completing work per resource Updating tasks Updating the project Rescheduling work Change highlighting Printing and reporting Setup and Printing Visual reports Using the Timeline Creating Dashboard reports

Now that the course has started verifications will take place every Tuesday and access granted to the module at this point. If the booking is received after 12pm on a Tuesday access will be granted the following week. 2025 is the 80th anniversary of the end of the Second World War – a conflict that defined the twentieth century and still has an influence on relationships and attitudes today. In this course we welcome academics from institutions across the UK and abroad to contribute to a series of lectures and discussions on aspects of the Second World War. This is not a course about battles but rather about how people engaged with the conflict in different regions, exploring political motivations, cultural responses and social impacts and legacies. Sessions include:  25 February - Fascism in flames: Italy at war, 1940-1943 | Dr Alexander Henry 4 March - Imperial defence and relations in the interwar period, c.1930-1939 | Dr Adam Dighton 11 March - The British Empire at war, 1939-1945 | Dr Adam Dighton 17 March - We can’t stand by and do nothing’: the lives and work of Britain’s conscientious objectors during the Second World War | Dr Linsey Robb 25 March - Propaganda in Nazi Germany during the Second World War | Dr Paul Moore 1 April - The aftermath of war: Allied occupation and displaced persons in post-war Europe | Dr Samantha Knapton 8 April – Samurai Nation: Global Views of Japan from the 1890s to the Second World War | Dr Oleg Benesch 15 April - Music as Propaganda: A Case Study of Nazi Germany and Soviet Russia During the Second World War | Dr Percy Leung 22 April - War and Crime: Britain, 1939-1954 | Dr Mark Roodhouse 29 April - Blood for Blood! Death for Death!” The Soviet Partisans and the Great Patriotic War 1941-45 | Professor Mark Sandle 6 May - Japanese motivations during the Second World War | Dr Satona Suzaki The course also features two workshop sessions to discuss your learning with other course participants. All sessions will take place from 7.30-9.00pm. This course is free to all HA members, and available for a small charge to non-members. Access to the course will be via the HA website once your booking is verified, you will be contacted via email once this is complete. The introductory session will take place on 25 February. Further information can be found on our course page here.

Rebuilding confidence Learn how to talk to women Confidence training Social cues training Dating history assessment Dating support Dating advice and assistance self-improvement positivity training 5 x 1-hour sessions https://relationshipsmdd.com/product/m-d-d-i-lack-confidence-with-women-package/

Discussion of past issues Support Divorce aftermath coaching Confidence building Self-assessment Analysation Dating support Dating assistance Emotional intelligence Dating languages training 7 sessions 45 mins https://relationshipsmdd.com/relationship-advice-for-men/

Mediation for single parents Coparenting therapy Addressing painpoints Communication strategies Bespoke coparenting plan Tools and emotional intelligence training Establish a healthy productive co parenting relationship Personal mediator phonecalls in between sessions Protecting your child strategies Life coaching https://relationshipsmdd.com/product/coparenting-package-2/

The Miss Date Doctor Intimacy coaching package includes the following: Relationship Intimacy Coaching Deepening Connection Sensate Focus Enhancing Intimacy Communication Skills Mindful Intimacy Relationship Dynamics Overcoming Obstacles Intimacy Challenges Satisfying Relationship 3 sessions x1 hour https://relationshipsmdd.com/product/intimacy-coaching-package/

Help with anxiety Life guidance Objective led life coaching Help with ptsd Help with exam stress Student dating advice Discovering your purpose Combat trauma issues High performance coaching Introspection test and personality test Confidence building Gain understanding of self Help with combating negative behavioural patterns https://relationshipsmdd.com/product/student-life-coaching-package/

Solution-Focused Brief Therapy (SFBT) Package: Unlock Your Strengths, Embrace Your Solutions Miss Date Doctor’s Solution-Focused Brief Therapy (SFBT) package is your ticket to positive change and growth. SFBT is a future-oriented, goal-directed therapy that focuses on exploring your strengths and resources to create practical solutions. Our expert therapists will work with you to identify your goals and design a roadmap for success. You’ll harness your innate abilities to overcome challenges and create lasting positive changes in your life. Experience the power of empowerment as you uncover your potential and embrace solutions that align with your values. The SFBT package offers a transformative experience, setting you on a path to a more fulfilling and purpose-driven life. 3 X 1 HOUR SESSION https://relationshipsmdd.com/product/solution-focused-brief-therapy-package-2/

Social anxiety test Emotional intelligence training Self-regulation training Self-improvement coaching Confidence building Social skills OCD Resolving social phobia Addressing intense anxiety issues Social anxiety disorder Addressing issues in the anxiety spectrum Exposure hierarchy therapy Objective goals Guidance and support Addressing pain points Social anxiety disorder exercises Homework and self-help guide (dating advice and relationship advice optional) 6 sessions https://relationshipsmdd.com/product/m-d-d-social-anxiety-course-package/

Duration 5 Days 30 CPD hours This course is intended for This intermediate and beyond level course is geared for experienced technical professionals in various roles, such as developers, data analysts, data engineers, software engineers, and machine learning engineers who want to leverage Scala and Spark to tackle complex data challenges and develop scalable, high-performance applications across diverse domains. Practical programming experience is required to participate in the hands-on labs. Overview Working in a hands-on learning environment led by our expert instructor you'll: Develop a basic understanding of Scala and Apache Spark fundamentals, enabling you to confidently create scalable and high-performance applications. Learn how to process large datasets efficiently, helping you handle complex data challenges and make data-driven decisions. Gain hands-on experience with real-time data streaming, allowing you to manage and analyze data as it flows into your applications. Acquire practical knowledge of machine learning algorithms using Spark MLlib, empowering you to create intelligent applications and uncover hidden insights. Master graph processing with GraphX, enabling you to analyze and visualize complex relationships in your data. Discover generative AI technologies using GPT with Spark and Scala, opening up new possibilities for automating content generation and enhancing data analysis. Embark on a journey to master the world of big data with our immersive course on Scala and Spark! Mastering Scala with Apache Spark for the Modern Data Enterprise is a five day hands on course designed to provide you with the essential skills and tools to tackle complex data projects using Scala programming language and Apache Spark, a high-performance data processing engine. Mastering these technologies will enable you to perform a wide range of tasks, from data wrangling and analytics to machine learning and artificial intelligence, across various industries and applications.Guided by our expert instructor, you?ll explore the fundamentals of Scala programming and Apache Spark while gaining valuable hands-on experience with Spark programming, RDDs, DataFrames, Spark SQL, and data sources. You?ll also explore Spark Streaming, performance optimization techniques, and the integration of popular external libraries, tools, and cloud platforms like AWS, Azure, and GCP. Machine learning enthusiasts will delve into Spark MLlib, covering basics of machine learning algorithms, data preparation, feature extraction, and various techniques such as regression, classification, clustering, and recommendation systems. Introduction to Scala Brief history and motivation Differences between Scala and Java Basic Scala syntax and constructs Scala's functional programming features Introduction to Apache Spark Overview and history Spark components and architecture Spark ecosystem Comparing Spark with other big data frameworks Basics of Spark Programming SparkContext and SparkSession Resilient Distributed Datasets (RDDs) Transformations and Actions Working with DataFrames Spark SQL and Data Sources Spark SQL library and its advantages Structured and semi-structured data sources Reading and writing data in various formats (CSV, JSON, Parquet, Avro, etc.) Data manipulation using SQL queries Basic RDD Operations Creating and manipulating RDDs Common transformations and actions on RDDs Working with key-value data Basic DataFrame and Dataset Operations Creating and manipulating DataFrames and Datasets Column operations and functions Filtering, sorting, and aggregating data Introduction to Spark Streaming Overview of Spark Streaming Discretized Stream (DStream) operations Windowed operations and stateful processing Performance Optimization Basics Best practices for efficient Spark code Broadcast variables and accumulators Monitoring Spark applications Integrating External Libraries and Tools, Spark Streaming Using popular external libraries, such as Hadoop and HBase Integrating with cloud platforms: AWS, Azure, GCP Connecting to data storage systems: HDFS, S3, Cassandra, etc. Introduction to Machine Learning Basics Overview of machine learning Supervised and unsupervised learning Common algorithms and use cases Introduction to Spark MLlib Overview of Spark MLlib MLlib's algorithms and utilities Data preparation and feature extraction Linear Regression and Classification Linear regression algorithm Logistic regression for classification Model evaluation and performance metrics Clustering Algorithms Overview of clustering algorithms K-means clustering Model evaluation and performance metrics Collaborative Filtering and Recommendation Systems Overview of recommendation systems Collaborative filtering techniques Implementing recommendations with Spark MLlib Introduction to Graph Processing Overview of graph processing Use cases and applications of graph processing Graph representations and operations Introduction to Spark GraphX Overview of GraphX Creating and transforming graphs Graph algorithms in GraphX Big Data Innovation! Using GPT and Generative AI Technologies with Spark and Scala Overview of generative AI technologies Integrating GPT with Spark and Scala Practical applications and use cases Bonus Topics / Time Permitting Introduction to Spark NLP Overview of Spark NLP Preprocessing text data Text classification and sentiment analysis Putting It All Together Work on a capstone project that integrates multiple aspects of the course, including data processing, machine learning, graph processing, and generative AI technologies.