3417 Intelligence courses

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. Overview After completing this course delegates will be capable of writing effective R code to manipulate, analyse and visualise data to enable their organisations make better, data-driven decisions. This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualisation in R. Course Outline Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. The R programming language is one of the most powerful and flexible tools in the data analytics toolkit. This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualisation in R. Mastery of these techniques will allow delegates to immediately add value in their work place by extracting valuable insight from company data to allow better, data-driven decisions. The course will explore the following topics through a series of interactive workshop sessions: What is R? Basic R programming conventions Data structures in R Accessing data in R Descriptive statistics in R Statistical analysis in R Data manipulation in R Data visualisation in R Additional course details: Nexus Humans Beginning Data Analytics With R 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 Beginning Data Analytics With R 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.

Duration 3 Days 18 CPD hours This course is intended for Report Authors Overview What is IBM Cognos Analytics ? Reporting Examine dimensionally modelled and dimensional data sources Examine personal data sources and data modules Examine List reports Aggregate measure/fact data Use shared dimensions to create multi-fact queries Add repeated information to reports Create crosstab reports Create complex crosstab reports Format, sort, and aggregate data in a crosstab report Create discontinuous crosstab reports Create Visualization reports Add business logic to reports using IBM Cognos Analytics ? Reporting Focus reports using filters Focus reports using prompts Augment reports using calculations Extend report functionality in IBM Cognos Analytics - Reporting Customize reports with conditional formatting Conditionally format one crosstab measure based on another Drill-through definitions Enhance the report layout Use additional report building techniques This offering provides Business and Professional Authors with an introduction to report building techniques using relational data models. Techniques to enhance, customize, and manage professional reports will be explored. Activities will illustrate and reinforce key concepts during this learning opportunity. What is IBM Cognos Analytics - Reporting? Create a simple list report Create a report from a dimensionally modeled relational data source Examine personal data sources and data modules Upload personal data Upload custom images Use navigation paths Create a report from a personal data source Examine list reports Group data in a list Format columns in a list Include headers and footers in a list Enhance a list report Aggregate measure/fact data Identify differences in aggregation Explore data aggregation Use shared dimensions to create multi-fact queries Create a multi-fact query in a list report Add repeated information to reports Create a mailing list report Create crosstab reports Add measures to a crosstab Data sources for a crosstab Create a simple crosstab report Create complex crosstab reports Add items as peers Create crosstab nodes and crosstab members Create a complex crosstab report Format, sort, and aggregate data in a crosstab Sort, format, and aggregate a crosstab report Create discontinuous crosstab reports Present unrelated items using a discontinuous crosstab Create a visualization report Create and format a visualization report Create a report that uses a Map visualization Show the same data graphically and numerically Focus reports using filters Apply filters to a report Apply a detail filter on fact data in a report Apply a summary filter to a report Focus reports using prompts Create a prompt by adding a parameter Add a value prompt to a report Add a Select & search prompt to a report Create a cascading prompt Augment reports using calculations Add calculations to a report Display prompt selections in the report title Customize reports with conditional formatting Create a multilingual report Highlight exceptional data and conditionally render a column Drill-through definitions Let users navigate to related data in IBM Cognos Analytics Enhance report layout Create a report structured on data items Create a condensed list report Use additional report building techniques Section a report and reuse objects within the same report Reuse layout components in a different report Explore options for reports that contain no data Additional course details: Nexus Humans B6158 IBM Cognos Analytics - Author Reports Fundamentals (v11.0.x) 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 B6158 IBM Cognos Analytics - Author Reports Fundamentals (v11.0.x) 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 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 2 Days 12 CPD hours This course is intended for This is an Intermediate PowerBI course geared for experienced users who wish to leverage the tool's more advanced capabilities Overview This course is about 50% hands-on lab and 50% lecture, designed to train attendees in essential PowerBI data handling functions and reporting skills, coupling the most current, effective techniques with the soundest practices. Attendees of this course will gain practical examples from the experienced instructor who has deployed and configured Power BI reporting in a wide variety of businesses. Working in a hands-on learning environment led by our expert facilitator, students will learn how to: Create Advanced Power BI Reports Advanced understanding of the data schemas and extracting data Perform advanced transformations of data or any data schema Utilize time-phased data in the creation of complex analyses Create new measures using DAX Filter data using row-level security Create and deploy content packs Use Power BI to integrate with line-of-business applications Next Level Power BI for Experienced Users is a two day, course that provides attendees already experienced with Microsoft Power BI basics with a hands-on exploration of intermediate and beyond level features. This course is geared for attendees ready to learn the advanced techniques that you, your business analysts, and your stakeholders need to create complex information from projects, program, and portfolio reporting to utilizing time-phased data and, potentially, data from your enterprise?s other line-of-business tools. Get Project Online Data Select and mine relevant tables with ODATA Advanced ODATA data mining Importing other data formats Advanced Editing of data queries Advanced Data Transformations Managing table relationships Creating & using data hierarchies Creating custom columns and measures and metrics for filtering and reporting Creating Power BI Reports Using advanced visualizations Configuring drill-down Modifying visual interactions Importing and creating custom visuals Configure Power BI Security Creating Dashboard and row-level security Utilizing Filtering using row-level security Publishing Reports and Dashboards Building Mobile Reporting Creating and deploying content packs Configuring natural language query

Duration 1 Days 6 CPD hours This course is intended for Anyone whose role requires them to use existing Power BI Reports or Dashboards to consume the contents. Roles can include management at all levels, team leaders or anyone who needs to commission the production of reports or dashboards. It is assumed that attendees on the course are familiar with charts. Please note that this course is not suitable for new Excel users, delegates need Ability to create charts Ability to use filters in data Overview This course covers the use of Power BI Desktop and the Power BI service hosted in Office 365 to identify core features, terminology and processes applicable when using reports or dashboards.Delegates will learn how to: Power BI Concepts and Main Features How a report is created Navigating reports and dashboards How to apply filters and slicers To use Insights, Analytics and Natural Language Queries Power BI provides a variety of methods for using reports and dashboards within which data can be viewed and analyzed visually. Getting Started with Power BI Power BI Concepts and Versions Introduction to Main Features: Jargon buster From Data to Reports and Dashboards Visualizations Overview Visualizations Available Visualizations as Filter Reports and Dashboards Similarities and differences Understanding what you are looking at Understanding what you are looking at Using a Report in Power BI Filters, sorting and using slicers See the actual data See Data and See Records Drill visualizations Off the shelf data analysis Quick Conditional Formatting Analytics lines Use Insight for Increases and Decrease Forecast Analytics Changing calculations and Show As Working with Dashboards Dashboards in Power BI Defined How is a dashboard different from a report? Working in the Dashboard window

Duration 1 Days 6 CPD hours This course is intended for The student should be familiar with Excel and the concepts of datasets and basic reporting. Overview Understand and utilize Power BI Online. Understand and examine the differences between Power BI Desktop and Power BI Online. Understand and explore the Power BI Online interface. Understand and perform importing Excel worksheets, CSV, TXT, PBIX. Understand connecting to databases. Understand other forms of data. Understand data refresh. Understand and perform creating a new Power BI report. Understand and perform adding filters to a report. Understand and perform adding KPI's to a report. Understand and perform creating a Power BI dashboard. Understand and perform pinning tiles. Understand sharing reports and dashboards. Understand Power BI Mobile. This Logical Operations courseware is no longer available on the LO Store, but can be purchased by phone orderThis one-day course familiarizes the student with Power BI Online, which allows the student to intuitively discover and automate the import, transformation, and combination of data across a variety of data sources. COURSE OVERVIEW Introduction Course Materials Facilities Prerequisites What We'll Be Discussing INTRODUCTION TO POWER BI ONLINE What is Power BI Online Examining the Differences Between Power BI Desktop and Power BI Online Exploring the Power BI Online Interface IMPORTING DATA Utilizing Excel (.xlsx or .xlsm), Comma Separated Value (.csv), and Power BI Desktop (.pbix) Files Connecting to Databases Examining Other Forms of Data Understanding Data Refresh CREATING REPORTS Creating a New Power BI Report Adding Filters to a Power BI Report Adding KPI?s to a Report CONFIGURING DASHBOARDS Creating a Power BI Dashboard Pinning Tiles SHARING REPORTS AND DASHBOARDS Sharing Reports and Dashboards Exploring Power BI Mobile

Overview This comprehensive course on Excel PowerQuery and PowerPivot will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Excel PowerQuery and PowerPivot comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Excel PowerQuery and PowerPivot. It is available to all students, of all academic backgrounds. Requirements Our Excel PowerQuery and PowerPivot is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 3 sections • 28 lectures • 01:50:00 total length •pivot table power query power pivot - 1: 00:09:00 •pivot table power query power pivot - 2: 00:01:00 •pivot table power query power pivot - 3: 00:02:00 •pivot table power query power pivot - 4: 00:03:00 •pivot table power query power pivot - 5: 00:01:00 •pivot table power query power pivot - 6: 00:04:00 •pivot table power query power pivot - 7: 00:08:00 •pivot table power query power pivot - 8: 00:05:00 •pivot table power query power pivot - 9: 00:03:00 •pivot table power query power pivot - 10: 00:04:00 •pivot table power query power pivot - 11: 00:04:00 •pivot table power query power pivot - 12: 00:02:00 •pivot table power query power pivot - 13: 00:03:00 •pivot table power query power pivot - 14: 00:05:00 •pivot table power query power pivot - 15: 00:02:00 •pivot table power query power pivot - 16: 00:03:00 •pivot table power query power pivot - 17: 00:03:00 •pivot table power query power pivot - 18: 00:08:00 •pivot table power query power pivot - 19: 00:02:00 •pivot table power query power pivot - 20: 00:04:00 •pivot table power query power pivot - 21: 00:05:00 •pivot table power query power pivot - 22: 00:09:00 •pivot table power query power pivot - 23: 00:04:00 •pivot table power query power pivot - 24: 00:03:00 •pivot table power query power pivot - 25: 00:04:00 •pivot table power query power pivot - 26: 00:09:00 •Resources - Excel PowerQuery and PowerPivot: 00:00:00 •Assignment - Excel PowerQuery and PowerPivot: 00:00:00

This course is designed for those already using Power BI Desktop and are ready to work with more comprehensive elements of analysing and reporting in Power BI. The course maintains a balanced look at data analysis including the Power Query Editor, with a deep dive into writing DAX formulas, and enhanced dashboard visualisations. The aim of this course is to provide a more complete understanding of the whole Power BI analytics process, by working with business examples that will equip you with the necessary skills to output comprehensive reports and explore Power BI's analytical capabilities in more depth. 1 The Query Editor Grouping rows in a table Split row by delimiter Add days to determine deadlines The query editor 2 Fuzzy Matching Joins Matching inconsistencies by percentage Matching with transformation table 3 The Query Editor M Functions Adding custom columns Creating an IF function Nested AND logics in an IF function 4 DAX New Columns Functions Including TRUE with SWITCH Using multiple conditions The FIND DAX function The IF DAX function Logical functions IF, AND, OR 5 Editing DAX Measures Making DAX easier to read Add comments to a measure Using quick measures 6 The Anatomy of CALCULATE Understanding CALCULATE filters Add context to CALCULATE with FILTER Using CALCULATE with a threshold 7 The ALL Measure Anatomy of ALL Create an ALL measure Using ALL as a filter Use ALL for percentages 8 DAX Iterators Anatomy of iterators A closer look at SUMX Using RELATED with SUMX Create a RANKX RANKX with ALL 9 Date and Time Functions Overview of functions Create a DATEDIFF function 10 Time Intelligent Measures Compare historical monthly data Create a DATEADD measure Creating cumulative totals Creating cumulative measures Visualising cumulative totals 11 Visualisations In-Depth Utilising report themes Applying static filters Group data using lists Group numbers using bins Creating heatmaps Comparing proportions View trends with sparklines 12 Comparing Variables Visualising trendlines as KPI Forecasting with trendlines Creating a scatter plot Creating dynamic labels Customised visualisation tooltips Export reports to SharePoint

Duration 5 Days 30 CPD hours This course is intended for This course is designed for EDI End Users, Connect: End Users, Web Developers, as well as System Administrators. Overview After completing this course, students should be able to: Run a business process. Create a business process using the Graphical Process Modeler. Explain how to create a service configuration. Explain how to track an executable business process. Discuss the basics of Sterling B2B Integrator. This course provides students with a detailed examination of Sterling B2B Integrator, which provides end-to-end enterprise integration server for dynamic real-time and near-real time business collaboration and commerce automation.This course teaches students techniques, tools and recommended practices that can be used to run a business process, create a business process using the Graphical Process Modeler, explain how to create a service configuration, explain how to track an executable business process, and discuss the basics of Sterling B2B Integrator through a combination of lecture and hands-on labs. About IBM Sterling B2B Integrator Exercise. About Sterling B2B Integrator Basic BPML Concepts Exercise. Basic BPML Concepts XPath Basics Exercise. XPath Basics Graphical Process Modeler (GPM) Exercise. Graphical Process Modeler (GPM) Using the GPM Exercise. Using the GPM Troubleshooting a Business Process Exercise. Troubleshooting a Business Process Introduction to Service Management Exercise. Introduction to Service Management Case Study Sterling B2B Integrator Mapping Exercise. Sterling B2B Integrator Mapping Typing Map Exercise. Typing Map Tracking System Health Exercise. Tracking System Health Best Practices Exercise. Best Practices Case Study Course Wrap Up