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Ensuring an efficient flow of goods and services between manufacturers and their skilled trade customer base.
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.
Duration 3 Days 18 CPD hours This course is intended for This course is designed for professionals in a variety of job roles who are currently using desktop or web-based data management tools such as Microsoft Excel or SQL Server reporting services to perform numerical or general data analysis. They are responsible for connecting to cloud-based data sources, as well as shaping and combining data for the purpose of analysis. They are also looking for alternative ways to analyze business data, visualize insights, and share those insights with peers across the enterprise. This includes capturing and reporting on data to peers, executives, and clients. This course is also designed for professionals who want to pursue the Microsoft Power BI Data Analyst (Exam PL-300) certification. Overview In this course, you will analyze data with Microsoft Power BI. You will: Analyze data with self-service BI. Connect to data sources. Perform data cleaning, profiling, and shaping. Visualize data with Power BI. Enhance data analysis by adding and customizing visual elements. Model data with calculations. Create interactive visualizations. Use advanced analysis techniques. Enhance reports and dashboards. Publish and share reports and dashboards. Extend Power BI beyond the desktop. As technology progresses and becomes more interwoven with our businesses and lives, more data is collected about business and personal activities. This era of 'big data' is a direct result of the popularity and growth of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantages. Creating data-backed visualizations is key for data scientists, or any professional, to explore, analyze, and report insights and trends from data. Microsoft© Power BI© software is designed for this purpose. Power BI was built to connect to a wide range of data sources, and it enables users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Power BI's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, enabling users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action. Analyzing Data with Self-Service BI Topic A: Data Analysis and Visualization for Business Intelligence Topic B: Self-Service BI with Microsoft Power BI Connecting to Data Sources Topic A: Create Data Connections Topic B: Configure and Manage Data Relationships Topic C: Save Files in Power BI Performing Data Cleaning, Profiling, and Shaping Topic A: Clean, Transform, and Load Data with the Query Editor Topic B: Profile Data with the Query Editor Topic C: Shape Data with the Query Editor Topic D: Combine and Manage Data Rows Visualizing Data with Power BI Topic A: Create Visualizations in Power BI Topic B: Chart Data in Power BI Enhancing Data Analysis Topic A: Customize Visuals and Pages Topic B: Incorporate Tooltips Modeling Data with Calculations Topic A: Create Calculations with Data Analysis Expressions (DAX) Topic B: Create Calculated Measures and Conditional Columns Creating Interactive Visualizations Topic A: Create and Manage Data Hierarchies Topic B: Filter and Slice Reports Topic C: Create Dashboards Using Advanced Analysis Techniques Topic A: Create Calculated Tables, Variables, and Parameters Topic B: Enhance Visuals with Statistical Analysis Topic C: Perform Advanced Analysis Enhancing Reports and Dashboards Topic A: Enhance Reports Topic B: Enhance Dashboards Publishing and Sharing Reports and Dashboards Topic A: Publish Reports Topic B: Create and Manage Workspaces Topic C: Share Reports and Dashboards Extending Power BI Beyond the Desktop Topic A: Use Power BI Mobile Topic B: Extend Access with the Power BI API Additional course details: Nexus Humans Microsoft Power BI: Data Analysis Professional (Second Edition) (v1.3) 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 Microsoft Power BI: Data Analysis Professional (Second Edition) (v1.3) 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.
LOOKING FOR: YA/NA FANTASY, SFF, HORROR, ADULT FICTION John Baker (he/him) joined the Bell Lomax Moreton agency in 2019, cultivating a list shaped around his passion for science fiction, fantasy, and horror, though has lately also branched out into action/adventure fiction. John focuses on authors writing in the Adult, New Adult, and YA spaces. John leads the wider agency's film & TV desk, is the Secretary of the Association of Author’s Agents, and the co-chair of the AAA’s Bridge Committee. He also serves on the Kingston University MA Publishing Advisory Board. Under the umbrella of speculative fiction, John is looking for fantasy, science fiction, horror, romantasy, or literary speculative fiction. He has built a reputation as a champion of underrepresented voices and stories, be it from creators hailing from the global majority and their diasporas or neurodiverse authors, and naturally gravitates towards this kind of storytelling. In short, if he’s never read a story like yours before, he wants to see it. Adult fantasy: John loves beefy epic fantasy, especially non-Anglo Christian-inspired. Give him an immersive world, a fresh magical or mythic system, and an exciting cast of characters and he’ll be happy. He is a broad church in the genre so loves a political fantasy, swords and sorcery, courtly intrigue, monster hunting and dastardly villains. John is keen to find an urban fantasy that feels fresh and fun and he’s a sucker for a heroic quest narrative. He’s also very open to fantasy that isn’t easily categorised, but it is playing in that world. John is keenly hunting for more historical fantasy, especially inspired by modern history. He’s had fun with mythological retellings in the past, but as ever, let’s make sure it’s shining the spotlight on new stories. He would also love fantasy that centres on types of relationships less celebrated in fantasy, such as established and secure married couples, or siblings. NA/YA fantasy: In this genre, most importantly, John wants to have a good time, whether it’s swoon-worthy kisses in lush ball gowns, or gruesome gore and monsters, so send him pacy, plot-filled adventures. He’d love more books that teenage boys would love: Skullduggery Pleasant forever! Romantasy: The thriving new romantasy genre comes with its own set of challenges, so John wants to know what makes your romantasy different; what will set it out from the (very crowded!) market. Give it completely barmy stakes, cool and unique new settings, or a love story that will make your jaw drop. To be clear, he’s happily sorted for a human person meets a fae creature in the spooky woods. Also, cosmic romance is the genre of the future. Give him romantasy in space. Easy. Horror: John and horror are old friends. He loves horror inspired by myth and folklore, subversive weird horror that leaves your eyebrows in your hairline, historical horror that pulls from ghastly true stories, and anything that you’ll be reading with the light on. He also loves a gothic element and is particularly looking for horror with a strong romantic throughline, fun YA horror, and female & NB horror authors. Science fiction: SF is coming back! And John has been shouting about that. He loves to see an adventurous found-family romp through space or an epic, crunchy space opera. Speculative near-future is fun too, in the vein of Black Mirror’s more uplifting episodes, (e.g. San Junipero). He loves YA science fiction as well; the more creative the better. Literary: John is open to finding more rich magical realism or something character-led yet supernatural and would love a high-concept mystery, in the vein of Stuart Turton. He also loves spec fic that uses the speculative lightly as a way of confronting a deeper truth in society today. Weird stuff: John wants books that will blow people’s minds and defy categorisation. This is hard to describe, but think Gideon The Ninth, The Library At Mount Char, This Is How You Lose The Time War. John loves a pitch that leaves the editors baffled but intrigued. Action/Adventure, Historical Adventure, Espionage: John is branching out into non-speculative adventures, such as John Le Carré, Lee Child, Ian Flemming, and Mick Herron. More as his taste develops, but the hunt is on! Not looking for: military sci-fi or hard SF, or anything with biblical “character wakes up in purgatory/heaven/hell” narratives. The right comedic fantasy has yet to hit his inbox, but please don’t comp Douglas Adams or Sir Terry. John would like you to submit a covering letter, 1-2 page synopsis and the first two chapters of your manuscript in a single word document. (In addition to the paid sessions, John is kindly offering one free session for low income/under-represented writers. Please email agent121@iaminprint.co.uk to apply, outlining your case for this option which is offered at the discretion of I Am In Print). By booking you understand you need to conduct an internet connection test with I Am In Print prior to the event. You also agree to email your material in one document to reach I Am In Print by the stated submission deadline and note that I Am In Print take no responsibility for the advice received during your agent meeting. The submission deadline is: Tuesday 15th July 2025
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