Sharing & Networking - Q2 Reporting Session aimed at fundraising leaders: Directors | Heads of | Leads | Managers THIS SESSION WILL NOT BE RECORDED
An interactive workshop with Karen Hale. Learn how to gain the confidence, skills and techniques to speak up so you can be heard. "There are two types of speakers: Those who get nervous and those who are liars." - Mark Twain Is this you? Promotions not applied for, jobs roles not tried for, networking events not attended? Parties avoided, family ceremonies not spoken at, too much left unsaid? Do you have excellent ideas that get lost in time because you are fearful of voicing them. Have you missed opportunities because it involves showing up? Do you stay silent in meetings? Do you have a brilliant business idea that isn’t being pursued because you know it will involve some kind of networking or public speaking? If the answer to any/most of these is YES, then read on... This workshop is strange by its nature. Why would someone who disliked public speaking, go to a place where they would speak in public? This is why.... Because Karen has analysed what makes a good communicator when speaking informally to people; she has taken those aspects and developed a group of exercises that allows you to use these exact techniques when speaking at networking events and in public. Added to that, Karen provides a smorgasbord of methods on how to control nerves to ensure you communicate at your authentic best. Please note: everybody in the room will be there for the same reason as you! You will be supported and encouraged and will learn how to turn fear into empowerment! About Karen: An empowerment and public speaking coach with over 30 years experience in coaching and advising individuals and business leaders from a diverse range of sectors on effective communication skills. It takes a second to form a first impression about a person. Your body language, clothes, speech and personal presence convey messages about your background, skills and expertise. Karen works with her clients to ensure they make that first impression powerful and authentic so they get remembered for the right reasons. By creating a confident and authentic presence you increase your visibility and your credibility. “Karen is a truly special individual. She made me feel totally at ease and was able to help me stand and speak confidently for the first time and she did that all with huge warmth and a lot of humour.” She fulfils her greatest passion on a daily basis, helping people present themselves to the outside world in the very best way. She has enabled hundreds of people to move on in their life and careers and build their growth, confidence and image. Karen works across a huge spectrum - from CEOs in FTSE 100 companies to Foundation Class university students at UAL coaching presentation skills. She coaches senior individuals and consults to leading global banks, private banks and family offices, advising business leaders and their teams. She is Central School of Speech and Drama trained. Kind words about Karen... I have had the absolute pleasure of working with Karen numerous times over the past 16 years to assist me in my various corporate roles. Karen has always been the person I have turned to first and foremost when I have needed help with my personal brand, presence and communication, helping me develop confidence in public speaking and showing up in front of the camera. A HUGE thank you for Monday – you were wonderful. The feedback we have had has been unbelievable – I can honestly say in all my years in this industry I have never heard such positive comments on every aspect. Karen has an incredible gift of making you feel completely at ease and is able to bring the best out of a person with ease. She is friendly, approachable and warm and I now refer Karen to everybody I know who needs assistance with any type of public speaking, communication and confidence requirement. The results speak for themselves. Highly recommend! You can contact Karen at: https://www.linkedin.com/in/karen-hale-8925862b/ / 07956626740 For any questions regarding this event, please contact the organiser lara@themotivationclinic.co.uk / 07817247727 - thank you!
Are the many perimenopause and menopause getting you down? Feeling flat and unmotivated, feeling exhausted and unable to cope? Do you want to feel calmer, get your focus back, be more productive, sleeping better and feel more like yourself agaain? Come and learn how you don't have to suffer: get the basics back in place so you feel full of energy and get the old you back.
Qigong Taiji 37 (Tai Chi) Daoyin exercises Makko-Ho and Do-in exercises Japanese Ki Exercises and Hara training Breathing and sound exercises Meditation Well-being guidance There are also currently 3 online Qigong classes each week: Mondays at 9.45am, or Tuesdays and Fridays at 10.00am, all 75 minutes. When you use the link there is usually no need to sign up to Zoom. You can use the app or attend via your usual browser. No experience necessary.
Imposter Syndrome. It's a big topic, a much talked about issue. But, what does it mean to you? At Happy Human we like to get real about the difficult stuff that we face in our lives and we hope that you can join us for our this exciting opportunity to take a closer look at Imposter Syndrome, what it means for you and how you can begin to overcome it.
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Duration 4 Days 24 CPD hours This course is intended for Hadoop Developers Overview Through instructor-led discussion and interactive, hands-on exercises, participants will navigate the Hadoop ecosystem, learning topics such as:How data is distributed, stored, and processed in a Hadoop clusterHow to use Sqoop and Flume to ingest dataHow to process distributed data with Apache SparkHow to model structured data as tables in Impala and HiveHow to choose the best data storage format for different data usage patternsBest practices for data storage This training course is the best preparation for the challenges faced by Hadoop developers. Participants will learn to identify which tool is the right one to use in a given situation, and will gain hands-on experience in developing using those tools. Course Outline Introduction Introduction to Hadoop and the Hadoop Ecosystem Hadoop Architecture and HDFS Importing Relational Data with Apache Sqoop Introduction to Impala and Hive Modeling and Managing Data with Impala and Hive Data Formats Data Partitioning Capturing Data with Apache Flume Spark Basics Working with RDDs in Spark Writing and Deploying Spark Applications Parallel Programming with Spark Spark Caching and Persistence Common Patterns in Spark Data Processing Spark SQL and DataFrames Conclusion Additional course details: Nexus Humans Developer Training for Spark and Hadoop 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 Developer Training for Spark and Hadoop 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.
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.