58 Courses in Leicester delivered Live Online

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.

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Women in Banking Leadership Workshop Workshop Overview: Unleash your potential - The Banking and Financial Services industry is a constantly changing sphere that calls for emerging leaders to adapt and grow in order to thrive and succeed. Often those wanting to take the next step in the field find it hard to see their full value and potential, slowing their progress in a world full of opportunities. Emerging leaders will need to understand their professional values and know how to cultivate a growth mindset to stand out and fulfil their career desires.  This interactive virtual workshop will provide emerging leaders within the field the skills to understand the strengths that they are able to bring to the corporate table to confidently unleash their potential. It will particularly benefit those who aspire to move beyond early management to broader leadership roles. Kat will guide attendees to unlock their potential through releasing self-doubt, connecting to their unique contribution and forming a confident, strategic leader that will drive an organisation to success. Our Aims for the Workshop: Navigate key challenges and change in fast-paced work-places Understand the value of embracing complexity, uncertainty and diversity Negotiate diversity and inclusion biases, enablers and blocker Topic 1 Define your leadership style What are the capabilities, attributes and skills of an influential leader? What is your unique contribution? Is this congruent with your personal brand? Align your leadership strengths and values with the expectations and culture of your organisation. Topic 2 Leading with Emotional Intelligence (EQ) Understand your EQ and its impact on the way you are perceived as a leader Leverage your EQ in the workplace both in person and online Embrace qualities of empathy and authenticity to become a better leader Topic 3 Interactive Panel Q&A Discussion: Open Q&A with Senior Female leaders within the banking sector. Please see below the panel and biographies of each panellist. Topic 4 How to be known as a strategic leader Understand the uplevel from management to leadership and how to articulate your strategy How to translate broad leadership tools and tactics into practical, personalised results Move from transactional to transformational leadership Topic 5 Strengthen your resilience and resolve What is stress and how do you “show-up” on a bad day? Bounce back from challenging situations and predicaments Effectively manage conflict and turn negativity into an opportunity Who will attend? Emerging Leaders looking to step into management roles Current Leaders looking to progress into senior management roles This workshop is open to any woman who works in the banking sector that wants to take her next step in their career; women include trans women and non-binary people who are comfortable in a female-centred group. Group Rate Discounts 2-3 people, 7% discount 4+ people, 20% discount We have two group rates which you can take advantage of depending on the size of the group you wish to book: Option 1️⃣ Groups between 2 & 3 are eligible for the 7% Discount. Please use this code at checkout: GROUP 2+  Option 2️⃣ For groups of over 4+ attendees, the eligible discount is 20%. Please use this code at checkout: GROUP 4+  Where do I add the discount code?  Your Facilitator Kat Hutchings Kat coaches Executives and senior leaders in scale businesses to develop their leadership capability, build high-performing teams and create a culture that motivates and delivers. She works with them to identify their unique contribution and lead in a way that's aligned with who they are. Clients that work with Kat connect to their sense of purpose and how they contribute to the organisation. This creates a ripple effect through their team as they step into more powerful and impactful leadership. Kat coaches for insight - because a single insight can inspire action that changes everything.  Client outcomes include improved sales performance, successful delivery of change & transformation programmes and greater employee engagement & wellbeing.  Kat is an accredited Professional Executive Coach with the Association for Coaching and a Master NLP Practitioner. She has studied neuroscience, mindfulness and resilience, often bringing these insights to her coaching and training.  Combined with her experience as a leader in Financial Services, Kat’s clients find her to be commercially minded, knowledgeable and positively challenging. Her background as a corporate banker means Kat is quickly able to understand the context, including a firm’s strategy, vision and drivers. As a former Head of Coaching for the London & South East region of a FTSE 100 organisation, Kat is also well versed in leadership development programmes – their design, delivery and embedding through coaching. Outside of her coaching work, Kat spends lots of time with her husband and 2 young children. She enjoys trying different wines, talking to interesting people, having new experiences and buying flowers. THE PANEL The final panel is coming soon ⏳

Become a META-Health professional with our 6 months intensive training! Do you want to learn the scientific background of body-mind-interactions and how to integrate this knowledge in your practical work with your clients? This course contains both self-study and live training in online classes and covers the META-Health Level 1 and 2 material. It will take 6 months including 24 live sessions, 2 hours each, mainly in a weekly rhythm. You will get preparatory videos, reading material and tasks that help to understand and integrate the content, while the group sessions focus on demonstrations, discusion of the material, and practical exercises for you. All the time, our trainers and tutors will support you and we’ll be a learning family with an active chatgroup. Altogether you should reckon approximately 5 hours per week.

Do you hear yourself saying the same thing over and over again? Do you want to bring some new skills to your role? If you have been in a sales role for some time it is easy to fall into a comfortable pattern. This workshop will help you incorporate advanced techniques drawn from NLP, behavioural science and social psychology into your existing skills. This course will help you: Use the consultative sales process to achieve more cross-sales Employ advanced rapport-building skills Assess the buying preferences of a customer Articulate the link between customer goals and needs Identify your customer's needs and wants Use advanced questioning techniques to gather information Resist the temptation to tell when it would be better to ask Identify communication preferences Given various scenarios, present a product to the explicit need of a customer Appreciate the impact of the language used during this stage of the sale and decide what language is appropriate with a variety of customers Handle objections positively Close the sale or gain commitment to further action 1 Introduction Aims and objectives of the training Personal introductions and objectives Self-assessment of existing sales skills Overview of content 2 Understanding yourself and your customers Personal communication style and what this means in a sales situation Wants versus needs What motivates people to buy Using social media tools such as LinkedIn Managing your portfolio to maximise sales Preparing to sell 3 The sales process Overview of the consultative sales process Review personal strengths and weaknesses as a salesperson Habits of top-performing sales people Common pitfalls Articulate sales goals 4 Building rapport 11 decisions that customers make in the first 9 seconds Spotting buyer communication preferences Building rapport with a wide variety of customers Dealing with emotions Keeping control 5 Questioning and listening Assumptions and how they trip us up Structured questioning Looking for cross-sales Honing your listening skills Identifying buyers' motivation Using summaries to move the customer forward 6 Presenting products and services to customers Choosing the right time to present Using features, advantages and benefits Tailoring your presentation of products and services to match buyer preferences and motivations 7 Gaining commitment When to close Dealing with difficult customers 5 things to avoid when handling a customer objection 8 Managing your business The link between service and sales Using customer surveys Winning back lost business 9 Putting it all together Skills practice Personal learning summary and action plans

Foundation Day Training in Clinical Hypnosis Refresh. Practise. Connect. Transform. Whether you're just starting your journey in clinical hypnosis or you're a graduate looking to refresh and refine your skills, our Foundation Day Training is the perfect opportunity to reconnect with the core techniques that make hypnosis such a powerful therapeutic tool. 🔁 For Graduates: Reignite your confidence, polish your technique, and deepen your understanding of trance work in a supportive and hands-on environment. 🎓 For Trainees: This immersive day is a practical companion to your eLearning journey. It brings the theory to life with live demonstrations, peer-to-peer hypnotic practice, and real-time feedback—your chance to induce trance for the very first time! 🌀 What You’ll Learn and Practise: Trance Inductions & Deepeners – Multiple approaches, techniques, and live demonstrations. Building Confidence – For both you and your clients. Consultation Skills – Learn how to structure effective client sessions from the very first meeting. Therapeutic Techniques – Grounded in modern clinical hypnosis and NLP. Peer Practice – Hypnotise each other under supervision in a safe, encouraging environment. 💡 Course Highlights: Introduction to the world of clinical hypnosis Health and safety, mental wellbeing, and contraindications of hypnosis The history of hypnosis and NLP, including key pioneers The 3 laws of suggestion and why they matter How to handle common client questions Understanding the power of the mind and the subconscious The basics of suggestion, sensory systems, and rapport building Creating a therapeutic space and planning effective therapy Exploring premature cognitive conditioning and the unique client 🧠 Included: Access to a self-paced eLearning module Weekly live Masterclasses Group practice sessions Peer supervision and support Step into the transformative world of clinical hypnosis with clarity, confidence, and competence. Whether you’re revisiting or discovering it for the first time, Foundation Day is your gateway to lasting change. 👉 Book Your Place Today and take the next confident step in your hypnotherapy journey.

Anxiety and Depression Management Diploma Course Overview The "Anxiety and Depression Management Diploma" offers comprehensive training on managing and alleviating symptoms of anxiety and depression. This course equips learners with an understanding of the science behind mental health issues, including the role of neurotransmitters and GABA, and explores various techniques such as Emotional Freedom Technique (EFT) and NLP Anchoring. It provides valuable insights into meal planning for mental well-being, ensuring learners can apply a holistic approach to managing anxiety and depression. This course is designed for those seeking to enhance their knowledge and skills in mental health management, with practical applications for individuals and professionals alike. Course Description This course delves deeply into the biological and psychological aspects of anxiety and depression, covering essential topics such as neurotransmitters and GABA, which play a crucial role in regulating mood. Learners will explore emotional relief techniques like Emotional Freedom Technique (EFT) and NLP Anchoring, which have shown effectiveness in reducing anxiety. The course also addresses the importance of nutrition with tailored meal plans that support mental health. Throughout the programme, learners will engage in evidence-based strategies aimed at alleviating symptoms and promoting emotional well-being. Upon completion, learners will be equipped with a holistic understanding of managing anxiety and depression through multiple therapeutic approaches. Anxiety and Depression Management Diploma Curriculum Module 01: Neurotransmitters Module 02: GABA Module 03: Emotional Freedom Technique for Anxiety Relief Module 04: NLP Anchoring for Anxiety Relief Module 05: Meal Plans (See full curriculum) Who is this course for? Individuals seeking to manage anxiety and depression effectively. Professionals aiming to enhance their therapeutic practices or mental health expertise. Beginners with an interest in mental health and wellness. Anyone looking to improve their understanding of mental health management techniques. Career Path Mental Health Practitioner Counsellor or Therapist Wellness Coach Personal Development Specialist Nutritionist (with a focus on mental well-being)

Mindset and Motivation Coaching Course Overview This Mindset and Motivation Coaching course provides a comprehensive exploration of the principles and techniques essential for empowering individuals to unlock their full potential. Learners will gain insight into effective coaching strategies that foster positive mindset shifts and sustained motivation. The course covers vital areas such as communication skills, personal development, leadership under pressure, and key psychological theories like NLP and stress-performance relationships. Designed to enhance both personal and professional growth, this course equips learners with the tools to build strong coach-client relationships and ethically support clients in achieving their goals. Upon completion, participants will be confident in applying motivational techniques and mindset coaching concepts to drive success and well-being in diverse contexts. Course Description This course delves into the fundamental theories and applied skills that underpin effective mindset and motivation coaching. It covers the dynamics of coaching relationships and introduces established coaching and mentoring models, emphasising ethical practice. Learners will explore essential communication, management, and organisational skills needed to guide clients effectively. In-depth topics include motivation theories, the impact of stress on performance, and leadership strategies for high-pressure situations. The course also introduces Neuro-Linguistic Programming (NLP) as a valuable framework for mindset change. With an emphasis on professional development, participants will understand how to set up their coaching practice, enabling them to confidently navigate the coaching profession and support clients across various personal and organisational challenges. Mindset and Motivation Coaching Curriculum Module 01: Introduction to Performance Coaching Module 02: The Coach/Client Relationship Module 03: Coaching and Mentoring Models Module 04: Ethical Aspects of Coaching and Mentoring Module 05: Effective Communication Skill Module 06: Personal Skills Module 07: Management Skills Module 08: Organisational Skills Module 09: Motivation and Mindset Module 10: Key Themes of NLP Module 11: The Relationship Between Stress and Performance: The Inverted-U Theory Module 12: Leadership Under Pressure Module 13: Setting Up as a Coach (See full curriculum) Who Is This Course For? Individuals seeking to develop effective coaching skills for personal growth. Professionals aiming to enhance their career through motivational and mindset coaching. Beginners with an interest in coaching, mentoring, or leadership development. Managers and team leaders wanting to improve motivation and performance within their teams. Career Path Mindset and Motivation Coach Personal Development Consultant Leadership Coach or Mentor Human Resources and Talent Development Specialist Organisational Development Advisor

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.

4-Hour Discovery Day - NLP Training Near Me | Ely Wellbeing Neuro Linguistic Programming (NLP) is a collection of models and techniques that provide insights into human psychological processes. Through its various models, strategies and tools, NLP helps people to change their lives by taking control of their thoughts, feelings and behaviours. Our 4 Hour Discovery Day gives you an opportunity to learn the basics of Neuro Linguistic Programming; how it