171 Courses

Duration 2 Days 12 CPD hours This course is intended for Attending students should be new to Jira (this is NOT for experienced users), and are required to have a background in basic Enterprise application development Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working in a hands-on learning environment guided by our expert Jira practitioner, students will explore: Getting started with JIRA Using JIRA for Business Projects Using JIRA for Agile Projects Issue Management Field Management Screen Management Workflows and Business Process Searching and Filtering Tracking issues is a critical component of any project management strategy. JIRA provides a web based single repository for creating, tracking and reporting on feature requests, bugs reported, or managing workflow. JumpStart to Jira for End Users is a two-day, lab-intensive course for participants new to Jira, that provides them with a hands-on Jira instance to ?learn by doing?. This course provides essential understanding in the practical use of the Jira in an Agile context, with an emphasis on Best Practices and practical job-ready skills. Getting started with JIRA JIRA Overview Core concepts Terminology Infrastructure Users and Groups JIRA roles Using JIRA for Business Projects Overview of Projects Project types Project screens Tasks and task management Project Management Process Management Using JIRA for Agile Projects Overview of Agile with JIRA (very brief) Kanban overview Running a project with Kanban Configuring agile screen resolving an issue Issue Management Overview of Issues Working with issues Issue cloning Time tracking Issues and comments Tasks and subtasks Field Management Overview of Fields Built-in fields Custom fields Searching Configuring JIRA for fields Screen Management Overview of JIRA screens Working with screens Using screen tabs Issue type screens associating an issue type screen a with a project Customizing JIRA screens Workflow and Business Process Overview of Workflow Mapping business processes Managing workflows Authoring a workflow Updating an existing workflow Workflow schemes Applying a workflow to a project Searching and Reporting Overview of Searching Search screens Basic search Advanced search with JQL Working with search results Reports Dashboards Filters Gadgets Charts Summary and Best Practices Looking back at the ?Big Picture? JIRA Administration Overview Where JIRA fits into the Agile perspective JIRA End-User best practices

Technology and innovation and its profound impact on financial operations Technology adoption indeed comes with risks, particularly around data security and privacy. As CFOs, we must ensure robust cybersecurity measures and adhere to strict data protection regulations. It requires ongoing investment in secure systems, staff training, and proactive monitoring to mitigate risks and protect sensitive financial information. Change management is also crucial. The adoption of new technologies requires proper planning, training, and cultural adjustments. As CFOs, we need to foster a culture that embraces innovation and continuous learning. Clear communication about the benefits and objectives of technology adoption is essential to gain buy-in and drive successful implementation. Fantastic insights! Now, let’s discuss the future. What emerging technologies do you foresee shaping the future of finance functions? One area that holds immense potential is blockchain technology. Its decentralised and transparent nature has the potential to streamline financial transactions, enhance auditability, and revolutionize supply chain finance. We’re closely monitoring blockchain’s development and exploring pilot projects to leverage its benefits. I agree, blockchain is a game-changer. Additionally, as the internet of things (IoT) expands, we anticipate new opportunities and challenges. CFOs will need to adapt to the influx of real-time data from interconnected devices, leveraging this information to optimize financial processes, enhance risk management, and improve operational efficiencies. Before we wrap up, any final thoughts or advice for our CFO audience? Embrace technology and view it as an opportunity rather than a threat. Invest in understanding the technological landscape and its implications for finance. Stay curious, adapt, and be open to change. Technology will continue to evolve, and as CFOs, we must evolve with it. Absolutely. Collaboration is key. Engage with IT teams, industry peers, and external experts to stay informed about the latest technological advancements. By fostering partnerships and sharing knowledge, we can collectively navigate the ever-changing technology landscape and drive innovation within our organisations. https://www.fdcapital.co.uk/podcast/technology-and-innovation-and-its-profound-impact-on-financial-operations/ Tags Online Events Things To Do Online Online Conferences Online Science & Tech Conferences #technology #innovation #financial #impact #operations

The Fintech Frontier: Why FDs Need to Know About Fintech,” the podcast where we delve into the world of financial technology There are numerous areas where fintech can make a significant impact. For example, payment processing and reconciliation can be streamlined through digital payment solutions and automated tools. Data analytics and artificial intelligence can enhance financial forecasting, risk management, and fraud detection. Blockchain technology can revolutionize supply chain finance and streamline processes involving multiple parties. By understanding the capabilities of these fintech solutions, FDs can identify areas for improvement and select the right technologies to optimise their financial operations. Additionally, fintech can greatly enhance financial reporting and analysis. Advanced data analytics tools can extract meaningful insights from vast amounts of financial data, enabling FDs to make data-driven decisions and identify trends and patterns. Automation of repetitive tasks, such as data entry and reconciliation, reduces the risk of errors and frees up valuable time for FDs to focus on strategic initiatives. The adoption of cloud-based financial management systems also provides flexibility, scalability, and real-time access to financial data, empowering FDs to make informed decisions on the go. With the rapid pace of fintech advancements, how can FDs stay up to date and navigate the evolving fintech landscape? Continuous learning and engagement with the fintech community are key. Attend industry conferences, participate in webinars and workshops, and engage with fintech startups and established players. Networking with professionals in the field, joining fintech-focused associations, and following relevant publications and blogs can help FDs stay abreast of the latest fintech developments. Embracing a mindset of curiosity and adaptability is crucial in navigating the ever-changing fintech landscape. I would also encourage FDs to foster partnerships and collaborations with fintech companies. Engage in conversations with fintech providers to understand their solutions and explore potential synergies. By forging strategic partnerships, FDs can gain access to cutting-edge technologies and co-create innovative solutions tailored to their organisation’s unique needs. As we conclude, do you have any final thoughts or advice for our FD audience regarding fintech? Embrace fintech as an opportunity, not a threat. Seek to understand its potential and how it can align with your organisation’s goals and strategies. Be open to experimentation and pilot projects to test the viability of fintech solutions. Remember that fintech is a tool to enhance and optimize financial processes, and as FDs, we have a crucial role in driving its effective implementation. https://www.fdcapital.co.uk/podcast/the-fintech-frontier-why-fds-need-to-know-about-fintech/ Tags Online Events Things To Do Online Online Conferences Online Business Conferences #event #fintech #knowledge #fds #frontier

An M&A specialist is a senior CFO with a proven track record of overseeing and implementing mergers and acquisitions. An M&A specialist is a senior CFO with a proven track record of overseeing and implementing mergers and acquisitions. They may be hired on a full-time basis and carry a full CFO workload or can be recruited on a part-time or interim basis to focus on a specific merger or acquisition. This flexibility is ideal for start-ups and SMEs who don’t have the budget to recruit a full external team to oversee an M&A or to hire a full-time CFO. The CFO is a link between both companies engaged in the M&A, acting as the eyes and ears for both the board and CEO. Their financial skills enable them to identify potential M&A opportunities and incorporate risk management into their strategy to get the most value out of their deal. Most companies evolve their approach to mergers and acquisitions organically, especially those who rely on an M&A specialist instead of having a dedicated team that works solely on M&A. The CFO is responsible for considering any potential acquisitions, crunching the numbers involved, and ensuring due diligence. They’ll be responsible for determining the value of a potential M&A and presenting it to the company’s board and leadership team to determine whether to make the purchase. An M&A specialist is responsible for gathering the data – including both positive and negative factors – to present an objective look at the other organisation and the potential value the acquisition could bring. CFOs will spend most of their time getting to grips with the numbers involved, long before presenting the M&A proposal to the board. This exercise also requires them to have real-time insight into their own company’s performance, value, and finances to paint a wider picture. An M&A specialist will take the critical steps of ensuring that the numbers presented to them are correct. CFOs who don’t specialise in M&As will still have the skill set required to oversee the process but may lack the efficiency and unique insight of an M&A specialist. Companies that are exploring the option of a merger or being acquired by another company may also decide to recruit an M&A specialist to prepare their accounting. The organisation will want to ensure they present the correct numbers to get the correct valuation and prevent any delays further in the process if incorrect numbers pop up. Getting on top of the data early can enable CFOs to plan accordingly. Most will want to provide extra time within their strategy for any potential hiccups along the way. Spending more time on the data early on can speed up the process while still ensuring due diligence is met. Visit our website to learn more https://www.fdcapital.co.uk/mergers-and-acquistions-specialist/ Tags Online Events Things To Do Online Online Networking Online Business Networking #finance #insights #cfo #mergers #acquisitions

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.

These events are designed to work on the ideas introduced in Level 1: Understanding & Dealing with Everyday Racism The Six Stages Framework

These events are designed to introduce the BOOK & basic ideas behind Understanding & Dealing with Everyday Racism The Six Stages Framework

These events are designed to introduce the BOOK & basic ideas behind Understanding & Dealing with Everyday Racism The Six Stages Framework

These events are designed to work on the ideas introduced in Level 1: Understanding & Dealing with Everyday Racism The Six Stages Framework

This seminar supports you to implement ideas from the Six Stages Framework. It is designed for those who are reading or have read my book Understanding and Dealing with Everyday Racism- The Six Stages Framework