This IT Security Basics course provides a scientific approach to safeguarding information, delving into the core principles that protect our digital infrastructure. Equip yourself with the knowledge to defend against cyber threats and secure sensitive data.
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Enhance your skills with the CPD Certified Mechanical Engineering course. This program covers essential topics such as mechanics, thermodynamics, materials science, and fluid dynamics. Gain practical knowledge and industry-recognized certification to boost your career and stay ahead in the field of mechanical engineering.
Master the art of private investigation with the Private Investigator Level 3 Diploma. This comprehensive course equips you with crucial skills such as interviewing, criminal psychology, surveillance, and business management, ensuring you have the expertise for a successful career in the field.
Duration 2 Days 12 CPD hours This course is intended for Executives, Project Managers, Business Analysts, Business and IT stakeholders working with analysts, Quality and process engineers, technicians, corrective action coordinators or managers; supervisors, team leaders, and process operators; anyone who wants to improve their ability to solve recurring problems. Overview Learn how to initiate a root cause analysis and gather data for investigating process and non-process incidentsDemonstrate how to collect data through interviews and analysisApply powerful techniques to identify and know the difference between symptoms and root causesLearn to know when to use the appropriate technique in root cause identification Learn how to avoid future incidents by developing appropriate recommendations to address causal factors and root causes Develop a process to identify systemic problem areas In this course, participants will learn to apply several practical, systematic methods for analyzing incidents and problems to uncover root causes. Understanding of these techniques will be reinforced by classroom exercises. Introduction & Objectives What is a 'Problem?' Why Problems Persist What is A Root Cause? Why Root Causes are important How to Organize for an RCA RCA Roles and Responsibilities Assemble your RCA Team Modes of Communication How to Resolve Conflict Case Study Exercise Select the Problem to Analyze Define the selection criteria Plan and estimate tasks for the team Finalize the plan and gain agreement among your stakeholders Case Study Exercise Define the Problem What to look for - Problem-as-Given (PAG) vs. Problem-as-Understood (PAU) Developing your problem statement Refining the problem specification Case Study Exercise Identify the Source of the Problem Discuss when to use the appropriate analysis technique to determine the problem source Process Diagram Forms & Checklists Statistical Sampling Fishbone Diagram Surveys Charts - Line, Scatter, Bar, & Pie Case Study Exercise Solution Options Analysis & Selecting the 'Best Fit' How to approach different solution options Brainstorming Weighted Evaluation Selecting the appropriate option Hold an Retrospective on your approach Planning the proposal Case Study Exercise Putting RCA into Practice Create a Root Cause Analysis program within your organization How to develop appropriate recommendations to address root causes at various levels to avoid future incidents Additional course details: Nexus Humans BA10 - Understanding Root Cause Analysis 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 BA10 - Understanding Root Cause Analysis 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 3 Days 18 CPD hours This course is intended for This course is aimed at anyone who wants to harness the power of data analytics in their organization including: Business Analysts, Data Analysts, Reporting and BI professionals Analytics professionals and Data Scientists who would like to learn Python Overview This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualization in Python. Mastery of these techniques and how to apply them to business problems will allow delegates to immediately add value in their workplace by extracting valuable insight from company data to allow better, data-driven decisions. Outcome: After attending this course, delegates will: Be able to write effective Python code Know how to access their data from a variety of sources using Python Know how to identify and fix data quality using Python Know how to manipulate data to create analysis ready data Know how to analyze and visualize data to drive data driven decisioning across your organization Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. These programming languages are some of the most powerful and flexible tools in the data analytics toolkit. From business questions to data analytics, and beyond For data analytics tasks to affect business decisions they must be driven by a business question. This section will formally outline how to move an analytics project through key phases of development from business question to business solution. Delegates will be able: to describe and understand the general analytics process. to describe and understand the different types of analytics can be used to derive data driven solutions to business to apply that knowledge to their business context Basic Python Programming Conventions This section will cover the basics of writing R programs. Topics covered will include: What is Python? Using Anaconda Writing Python programs Expressions and objects Functions and arguments Basic Python programming conventions Data Structures in Python This section will look at the basic data structures that Python uses and accessing data in Python. Topics covered will include: Vectors Arrays and matrices Factors Lists Data frames Loading .csv files into Python Connecting to External Data This section will look at loading data from other sources into Python. Topics covered will include: Loading .csv files into a pandas data frame Connecting to and loading data from a database into a panda data frame Data Manipulation in Python This section will look at how Python can be used to perform data manipulation operations to prepare datasets for analytics projects. Topics covered will include: Filtering data Deriving new fields Aggregating data Joining data sources Connecting to external data sources Descriptive Analytics and Basic Reporting in Python This section will explain how Python can be used to perform basic descriptive. Topics covered will include: Summary statistics Grouped summary statistics Using descriptive analytics to assess data quality Using descriptive analytics to created business report Using descriptive analytics to conduct exploratory analysis Statistical Analysis in Python This section will explain how Python can be used to created more interesting statistical analysis. Topics covered will include: Significance tests Correlation Linear regressions Using statistical output to create better business decisions. Data Visualisation in Python This section will explain how Python can be used to create effective charts and visualizations. Topics covered will include: Creating different chart types such as bar charts, box plots, histograms and line plots Formatting charts Best Practices Hints and Tips This section will go through some best practice considerations that should be adopted of you are applying Python in a business context.
Introduction to Agile for Executives: In-House Training This session provides executives with an overview of Agile values and principles, the key benefits of an Agile approach, and its differences with the traditional Waterfall method. During the session, we compare and contrast the major Agile methods, with an emphasis on Scrum, as the most popular in the market. And most importantly, we present some criteria for Agile Transformation, possible certifications to pursue, and what is needed at the senior leadership level to achieve the best business results. What you will Learn At the end of this program, you will be able to: Explain the basics and benefits of using an Agile approach Describe the Scrum framework, its events, artifacts, and roles and responsibilities Illustrate an Agile approach outside of Software Development Define Scaled Agile Determine how to support an Agile transformation for your organization Getting Started Introduction Course structure Course goals and objectives Agile Introduction What is Agile? Agile benefits Agile myths and realities Overview of Agile Methods Overview of Agile methods Scrum method Lean and Kanban methods Criteria and certifications What Executives Need to Know About Agile Agile is not just for IT Agile can be scaled Agile transformation needs your support Summary and Next Steps Review Personal Action Plan