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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.

Duration 1 Days 6 CPD hours This course is intended for This course is designed for business leaders and decision makers, including C-level executives, project and product managers, HR leaders, Marketing and Sales leaders, and technical sales consultants, who have a vested interest in the representation of ethical values in technology solutions. Other individuals who want to know more about data ethics are also candidates for this course. This course is also designed to assist learners in preparing for the CertNexus DEBIZ™ (Exam DEB-110) credential. The power of extracting value from data utilizing Artificial Intelligence, Data Science and Machine Learning exposes the learning differences between humans and machines. Humans can apply ethical principles throughout the decision-making process to avoid discrimination, societal harm, and marginalization to maintain and even enhance acceptable norms. Machines make decisions autonomously. So how do we train them to apply ethical principles as they learn from decisions they make? This course provides business professionals and consumers of technology core concepts of ethical principles, how they can be applied to emerging data driven technologies and the impact to an organization which ignores ethical use of technology. Introduction to Data Ethics Defining Data Ethics The Case for Data Ethics Identifying Ethical Issues Improving Ethical Data Practices Ethical Principles Ethical Frameworks Data Privacy Accountability Transparency and Explainability Human-Centered Values and Fairness Inclusive Growth, Sustainable Development, and Well-Being Applying Ethical Principles to Emerging Technology Improving Ethical Data Practices Sources of Ethical Risk Mitigating Bias Mitigating Discrimination Safety and Security Mitigating Negative Outputs Data Surveillance Assessing Risk Ethical Risks in sharing data Applying professional critical judgement Business Considerations Data Legislation Impact of Social and Behavioral Effects Trustworthiness Impact on Business Reputation Organizational Values and the Data Value Chain Building a Data Ethics Culture/Code of Ethics Balancing organizational goals with Ethical Practice Additional course details: Nexus Humans CertNexus Data Ethics for Business Professionals (DEBIZ) 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 CertNexus Data Ethics for Business Professionals (DEBIZ) 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.

The Internet of Things (IoT) promises a wide range of benefits for industry, energy and utility companies, municipalities, healthcare, and consumers. Data can be collected in extraordinary volume and detail regarding almost anything worth measuring, such as public health and safety, the environment, industrial and agricultural production, energy, and utilities.

Microsoft Project Orange Belt® 2016: Virtual In-House Training This workshop gives participants a full insight into creating effective schedules using Microsoft® Project 2016, allowing you to estimate, coordinate, budget, staff, and control projects and support other users. This workshop gives participants a full insight into creating effective schedules using Microsoft® Project 2016, allowing you to estimate, coordinate, budget, staff, and control projects and support other users. This workshop provides the eBook Dynamic Scheduling with Microsoft® Project 2013, and is kept up to date with the framework of knowledge outlined by the Project Management Institute's PMBOK® Guide and the Practice Standard for Scheduling. What you Will Learn You'll learn how to: Understand what's new in Project 2016 Explain where Project 2016 fits in the Microsoft® EPM solution Initialize Project 2016 to start project planning Create a well-formed project schedule Understand task types and the schedule formula Assign resources and costs to tasks Analyze resource utilization and optimize the schedule Set a baseline and track progress Create and manage project reports Customize views and fields Apply Earned Value Management Understand the basics of managing multiple projects Getting Started Introductions Course structure Course goals and objectives Concepts of Project Management Getting Started with Project 2016 Project 2016: What's New and General Overview Setting Up a New Project Schedule (templates, options, save, etc.) Setting the Project Calendar Entering Tasks The planning processes Importing tasks (Word, Excel, SharePoint) Synchronizing with SharePoint Tasks List Creating and managing the WBS (include tasks, manually scheduled tasks, summary tasks, milestones, and custom WBS coding) Entering Estimates Tendencies in estimating The rolling wave approach Entering duration and work estimates Types of tasks Entering Dependencies The principle of dynamic scheduling Choosing the right Type of dependency Entering dependencies in Project 2016 Different applications of dependencies Entering Deadlines, Constraints, and Task Calendars Use of deadlines and constraints Entering deadlines and constraints in Project 2016 Entering Resources and Costs Types of resources Entering resources in Project 2016 Calendars and resources Entering costs in Project 2016 Entering Assignments Assignments in a schedule Assignments and task types Entering assignments in Project 2016 Assignments, budgets, and costs Optimizing the Schedule The critical path method (CPM) and the resource critical path (RCP) Resource leveling Optimizing time, cost, and resources in Project 2016 Updating the Schedule The baseline Updating strategies and situations Prepare the status and forecast report in Project 2016 Reporting Using reports Using Visual Reports Formatting and printing in Project 2016 Customizing fields in Project 2016 Earned Value Management (EVM) Overview of EVM Applying EVM with Project 2016 Evaluating the Project Evaluating the project performance Project benefits and results Templates for future projects Summary and Next steps Tools and checklist Best practices checklist Certification options

Microsoft Project Orange Belt® 2013: Virtual In-House Training This workshop gives participants a full insight into creating effective schedules using Microsoft® Project 2013, allowing you to estimate, coordinate, budget, staff, and control projects and support other users. This workshop gives participants a full insight into creating effective schedules using Microsoft® Project 2013, allowing you to estimate, coordinate, budget, staff, and control projects and support other users. This workshop provides the eBook Dynamic Scheduling with Microsoft® Project 2013, and is kept up to date with the framework of knowledge outlined by the Project Management Institute's PMBOK® Guide and the Practice Standard for Scheduling. What you Will Learn You'll learn how to: Understand what's new in Project 2013 Explain where Project 2013 fits in the Microsoft® EPM solution Initialize Project 2013 to start project planning Create a well-formed project schedule Understand task types and the schedule formula Assign resources and costs to tasks Analyze resource utilization and optimize the schedule Set a baseline and track progress Create and manage project reports Customize views and fields Apply Earned Value Management Understand the basics of managing multiple projects Getting Started Introductions Course structure Course goals and objectives Enterprise Project Management Concepts and Framework Getting Started with Project 2013 Project 2013: What's New and General Overview Setting Up a New Project Schedule (templates, options, save, etc.) Setting the Project Calendar Entering Tasks The Planning Processes Importing Tasks (Word, Excel, SharePoint) Synchronizing with SharePoint Tasks List Creating and managing the WBS (include tasks, manually scheduled tasks, summary tasks and milestones, as well as custom WBS coding) Entering Estimates Tendencies in Estimating The Rolling Wave Approach Entering Duration and Work Estimates Types of Tasks Entering Dependencies The Principle of Dynamic Scheduling Choosing the Right Type of Dependency Entering Dependencies in Project 2013 Different Applications of Dependencies Entering Deadlines, Constraints, and Task Calendars Use of Deadlines and Constraints Entering Deadlines and Constraints in Project 2013 Entering Resources and Costs Types of Resources Entering Resources in Project 2013 Calendars and Resources Entering Costs in Project 2013 Entering Assignments Assignments in a Schedule Assignments and Task Types Entering Assignments in Project 2013 Assignments, Budgets, and Costs Optimizing the Schedule The Critical Path Method and the Resource Critical Path Resource Leveling Optimizing Time, Cost, and Resources in Project 2013 Updating the Schedule The Baseline Updating Strategies and Situations Prepare the Status and Forecast Report in Project 2013 Reporting Using Reports Using Visual Reports Formatting and Printing in Project 2013 Customizing Fields in Project 2013 Earned Value Management (EVM) Overview of EVM Applying EVM with Project 2013 Evaluating the Project Evaluating the Project Performance Project Benefits and Results Templates for Future Projects Summary Tools and Checklist Best Practices Checklist Consolidated Schedules Creating Consolidated Schedules Using a Resource Pool Links across Projects Solving common problems Analyzing the Critical Path across Projects

The Forensic Analysis Bootcamp is an 8-week deep-dive into forensic equity analysis, featuring a 90-minute Zoom workshop each week. The content includes extensive use of real-life case studies and covers stocks spanning a wide range of sectors and regions. You will learn how companies manipulate expenses and inflate profits, how to spot balance sheet issues, weaknesses of the cash flow statement and issues and more.

Virtual Agile Teams: In-House Training Agile teams are a must in this world of intense competition, marketing demands, and changing expectations. Global virtual teaming has become a necessity as organizations become increasingly distributed, with suppliers and clients actively engaged in joint projects. Agile Teams now work across geographical, organizational, and cultural boundaries to deliver solutions and services to global users. Distance and differences may amplify the effect of issues and factors that are relatively straightforward for co-located Agile teams. This workshop delivers practical concepts and techniques that participants will start using immediately with their virtual Agile teams. The goal of the course is to enable you to successfully execute your preferred Agile or Scrum methods in a virtual project team environment. What you will Learn At the end of this program, you will be able to: Explain the characteristics of a virtual team and how they differ from a co-located team Build an effective virtual Agile team using a Team Charter approach Develop Release Plans, including prioritizing user stories, with a virtual Agile Team Construct a Sprint plan, including effective user story estimates, virtually Execute a Sprint, including essential Agile or Scrum ceremonies, virtually Conduct effective virtual meetings in an environment supportive of Agile and Scrum methods Foundation Concepts Agile Mindset and Values Agile Benefits and Methods Scrum Overview Co-located vs. Virtual Teams Forming Virtual Agile Teams Exploring Virtual Leadership Focusing on Virtual Agile Leaders Developing a Virtual Agile Team Charter Meeting Team Challenges in a Virtual Environment Planning Releases with a Virtual Agile Team Planning releases overview Estimating user stories Prioritizing user stories Setting release parameters Getting consensus on the release plan Planning a Sprint for a Virtual Project Sprint Planning Overview Confirming Sprint Scope with Virtual Agile Teams Developing a Sprint Delivery Plan for Virtual Agile Teams Running a Sprint in a Virtual Environment Self-organizing a Sprint for a Virtual Agile Team Using Scrum tools in a Virtual Environment Conducting End of Sprint Meetings in a Virtual Environment Iterating as a Virtual Agile Team Creating an Environment for Success Piloting a virtual Agile team Creating an Agile-friendly virtual environment

Duration 2 Days 12 CPD hours This course is intended for This course is designed for students who already have foundational knowledge and skills in Excel and who wish to perform robust and advanced data and statistical analysis with Microsoft Excel using PivotTables, use tools such as Power Pivot and the Data Analysis ToolPak to analyze data, and visualize data and insights using advanced visualizations in charts and dashboards in Excel. To ensure success, you should have baseline skill using Microsoft Excel worksheets, particularly in creating workbooks with formulas and function Overview #NAME? Analyzing data to find issues, insights and opportunities, is now a critical part of many job roles. Beyond the analysis, data analysts in all job roles must be able to effectively present and communicate their findings in visually compelling ways. Microsoft© Excel© is designed for this purpose. Excel can connect to a wide range of data sources, perform robust data analysis and create diverse and robust data-backed visualizations to show insights, trends, and create reports. These capabilities enable people who use Excel for data analysis to turn data into thoughtful action. 1 - DATA ANALYSIS FUNDAMENTALS Introduction to Data Science Create and Modify Tables Sort and Filter Data 2 - VISUALIZING DATA WITH EXCEL Visualize Data with Charts Modify and Format Charts Apply Best Practices in Chart Design 3 - ANALYZING DATA WITH FORMULAS AND FUNCTIONS Analyze Data with Formulas and Named Ranges Analyze Data with Functions Implement Data Validation, Forms, and Controls Create Conditional Visualizations with Lookup Functions 4 - ANALYZING DATA WITH PIVOTTABLES Create a PivotTable Analyze PivotTable Data 5 - PRESENTING VISUAL INSIGHTS WITH DASHBOARDS IN EXCEL Visualize Data with PivotCharts Filter Data Using Slicers and Timelines Create a Dashboard in Excel 6 - CREATING GEOSPATIAL VISUALIZATIONS WITH EXCEL Create Map Charts in Excel Customize Map Charts in Excel 7 - PERFORMING STATISTICAL ANALYSIS Visualize Trendlines and Sparklines with Excel Analyze Data with the Data Analysis ToolPa 8 - GETTING AND TRANSFORMING DATA Connect to Data with Queries Clean and Combine Data Shape and Transform Data 9 - MODELING AND ANALYZING DATA WITH POWER PIVOT Install Power Pivot in Excel Create Data Models with Power Pivot Create Power Pivots Perform Advanced Data Analysis and Visualization 10 - PRESENTING INSIGHTS WITH REPORTS (OPTIONAL) Plan a Report Create a Report

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Trade barriers are going up across the globe. And cybercrime is on the increase. The link between the two? The value of trade secrets. As countries become increasingly protectionist as regards international trade, so their IP law has been changing, with the result that companies that previously would have sought protection through patents are opting to go down the trade secret route instead. But is this a high-risk strategy? Technology is changing and this is having an impact on forms of commercial co-operation. Collaborative or open forms of innovation by their very nature involve the sharing of intellectual property (IP), and in many instances this IP is in the form of valuable confidential business information (ie, trade secrets). Little surprise, then, that trade secrets disputes have increased accordingly. At the same time, the changes in technology make trade secrets more vulnerable to attack, misappropriation, theft. So just how effective are the legal protections for trade secrets? How can organisations safeguard the value in their IP (increasingly, the single biggest line in their balance sheets)? This programme is designed to help you address these issues. Note: this is an indicative agenda, to be used as a starting point for a conversation between client and consultant, depending on the organisation's specific situation and requirements. This session is designed to give you a deeper understanding of: Emerging trends in trade secrets protection and exploitation The current situation in key jurisdictions Recent case law How leading companies are responding The importance of trade secret metadata Different external stakeholders and their interests Key steps for effective protection of trade secrets Note: this is an indicative agenda, to be used as a starting point for a conversation between client and consultant, depending on the organisation's specific situation and requirements. 1 What are trade secrets? Definitions Examples Comparison with other forms of IP (patents, confidential information, know-how, copyright) 2 Current trends The various changes taking place affecting trade secrets - legal changes, trade wars, cybercrime, technology, commercial practice The current position in the UK, Europe, USA, China, Japan, Russia Corporate best practice 3 Trade secret disputes - how to avoid them Trade secret policies, processes and systems Administrative, legal and technical protection mechanisms The role of employees The sharing of trade secrets with others 4 Trade secret disputes - how to manage them Causes Anatomy of a trade secret court case 'Reasonable particularity' 5 Related issues Insurance Tax authorities and investigations Investor relations 6 Trade secret asset management roadmap Maturity ladder First steps Pilot projects