310 Analytics courses delivered Live Online

Supercharge your skills and career and learn in-demand knowledge needed to build business intelligence dashboards. This beginner to intermediate level course will introduce you to all the Power BI technologies i.e. Power Query, DAX, Data Modelling (Power Pivot), M, types of visualizations, etc.

Duration 1 Days 6 CPD hours This course is intended for Sales Legal Marketing Business analysts Project managers AWS Academy students Other IT-related professionals Overview Summarize the working definition of AWS Differentiate between on-premises, hybrid-cloud, and all-in cloud Describe the basic global infrastructure of the AWS Cloud Explain the six benefits of the AWS Cloud Describe and provide an example of the core AWS services, including compute, network, databases, and storage Identify an appropriate solution using AWS Cloud services with various use cases Describe the AWS Well-Architected Framework Explain the shared responsibility model Describe the core security services within the AWS Cloud Describe the basics of AWS Cloud migration Articulate the financial benefits of the AWS Cloud for an organization?s cost management Define the core billing, account management, and pricing models Explain how to use pricing tools to make cost-effective choices for AWS services This course is for individuals who seek an overall understanding of the Amazon Web Services (AWS) Cloud, independent of specific technical roles. You will learn about AWS Cloud concepts, AWS services, security, architecture, pricing, and support to build your AWS Cloud knowledge. This course also helps you prepare for the AWS Certified Cloud Practitioner exam. Prerequisites General IT technical knowledge, General IT business knowledge 1 - INTRODUCTION TO AMAZON WEB SERVICES * Summarize the benefits of AWS * Describe differences between on-demand delivery and cloud deployments * Summarize the pay-as-you-go pricing model 2 - COMPUTE IN THE CLOUD * Describe the benefits of Amazon Elastic Compute Cloud (Amazon EC2) at a basic level * Identify the different Amazon EC2 instance types * Differentiate between the various billing options for Amazon EC2 * Describe the benefits of Amazon EC2 Auto Scaling * Summarize the benefits of Elastic Load Balancing * Give an example of the uses for Elastic Load Balancing * Summarize the differences between Amazon Simple Notification Service (Amazon SNS) and Amazon Simple Queue Services (Amazon SQS) * Summarize additional AWS compute options 3 - GLOBAL INFRASTRUCTURE AND RELIABILITY * Summarize the benefits of the AWS Global Infrastructure * Describe the basic concept of Availability Zones * Describe the benefits of Amazon CloudFront and Edge locations * Compare different methods for provisioning AWS services 4 - NETWORKING * Describe the basic concepts of networking * Describe the difference between public and private networking resources * Explain a virtual private gateway using a real life scenario * Explain a virtual private network (VPN) using a real life scenario * Describe the benefit of AWS Direct Connect * Describe the benefit of hybrid deployments * Describe the layers of security used in an IT strategy * Describe which services are used to interact with the AWS global network 5 - STORAGE AND DATABASES * Summarize the basic concept of storage and databases * Describe benefits of Amazon Elastic Block Store (Amazon EBS) * Describe benefits of Amazon Simple Storage Service (Amazon S3) * Describe the benefits of Amazon Elastic File System (Amazon EFS) * Summarize various storage solutions * Describe the benefits of Amazon Relational Database Service (Amazon RDS) * Describe the benefits of Amazon DynamoDB * Summarize various database services 6 - SECURITY * Explain the benefits of the shared responsibility model * Describe multi-factor authentication (MFA) * Differentiate between the AWS Identity and Access Management (IAM) security levels * Describe security policies at a basic level * Explain the benefits of AWS Organizations * Summarize the benefits of compliance with AWS * Explain primary AWS security services at a basic level 7 - MONITORING AND ANALYTICS * Summarize approaches to monitoring your AWS environment * Describe the benefits of Amazon CloudWatch * Describe the benefits of AWS CloudTrail * Describe the benefits of AWS Trusted Advisor 8 - PRICING AND SUPPORT * Understand AWS pricing and support models * Describe the AWS Free Tier * Describe key benefits of AWS Organizations and consolidated billing * Explain the benefits of AWS Budgets * Explain the benefits of AWS Cost Explorer * Explain the primary benefits of the AWS Pricing Calculator * Distinguish between the various AWS Support Plans * Describe the benefits of AWS Marketplace 9 - MIGRATION AND INNOVATION * Understand migration and innovation in the AWS Cloud * Summarize the AWS Cloud Adoption Framework (AWS CAF) * Summarize six key factors of a cloud migration strategy * Describe the benefits of various AWS data migration solutions, such as AWS Snowcone, AWS Snowball, and AWS Snowmobile * Summarize the broad scope of innovative solutions that AWS offers * Summarize the five pillars of the AWS Well-Architected Framewor 10 - AWS CERTIFIED CLOUD PRACTITIONER BASICS * Determine resources for preparing for the AWS Certified Cloud Practitioner examination * Describe benefits of becoming AWS Certified

Duration 2 Days 12 CPD hours This course is intended for This course is designed for professionals in a variety of job roles who are currently using Tableau to perform numerical or general data analysis, visualization, and reporting. They need to provide data visualizations from multiple data sources, or combine data to show comparisons, manipulate data through calculations, create interactive visualizations, or create visualizations that showcase insights from statistical analysis. This course is also designed for students who plan to obtain Tableau Desktop Certified Associate certification, which requires candidates to pass the Tableau Desktop Certified Associate exam. Overview Blend data multiple sources. Join data. Access data in PDFs. Refine visualizations with sets and parameters. Analyze data with calculations. Visualize data with advanced calculations. Perform statistical analysis and forecasting. Create geographic visualizations. Get answers with Ask and Explain The advent of cloud computing and storage has ushered in the era of "big data." With the abundance of computational power and storage, organizations and employees with many different roles and responsibilities can benefit from analyzing data to find timely insights and gain competitive advantage. Data-backed visualizations allow anyone to explore, analyze, and report insights and trends from data. Tableau© software is designed for this purpose. Tableau was built to connect to a wide range of data sources and allows users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Beyond the fundamental capabilities of creating data driven visualizations, Tableau allows users to manipulate data with calculations to show insights, make visualizations interactive, and perform statistical analysis. This gives users the ability to create and share data driven insights with peers, executives, and clients. Prerequisites Tableau Desktop: Part 1 LESSON 1: BLENDING DATA FROM MULTIPLE SOURCES * Topic A: Blend Data * Topic B: Refine Blends to Visualize Key Information LESSON 2: JOINING DATA * Topic A: Create Joins * Topic B: Troubleshoot Joins * Topic C: Merge Data with Unions LESSON 3: ACCESSING DATA IN PDFS * Topic A: Connect to PDFs * Topic B: Clean Up and Organize PDF Data LESSON 4: REFINING VISUALIZATIONS WITH SETS AND PARAMETERS * Topic A: Create Sets * Topic B: Analyze Data with Sets * Topic C: Apply Parameters to Refine Visualizations * Topic D: Create Advanced Visualizations LESSON 5: ANALYZING DATA WITH CALCULATIONS * Topic A: Create Calculated Fields to Analyze Data * Topic B: Manipulate Data with Functions * Topic C: Analyze Data with Table Calculations LESSON 6: VISUALIZING DATA WITH ADVANCED CALCULATIONS * Topic A: Create Groups and Bins with Calculations * Topic B: Analyze Data with LOD Expressions LESSON 7: PERFORMING STATISTICAL ANALYSIS AND FORECASTING * Topic A: Perform Statistical Analysis * Topic B: Forecast Data Trends LESSON 8: CREATING GEOGRAPHIC VISUALIZATIONS * Topic A: Create Maps * Topic B: Customize Mapped Data LESSON 9: GETTING ANSWERS WITH ASK AND EXPLAIN * Topic A: Ask Data * Topic B: Explain Data ADDITIONAL COURSE DETAILS: Nexus Humans Tableau Desktop - Part 2 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 Tableau Desktop - Part 2 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 1 Days 6 CPD hours This course is intended for This course is designed for users who wish to analyze Website or mobile application traffic or online advertising campaigns using Google Analytics and Standard Google Analytics reports for a variety of reasons including increasing customer reach, and increasing conversions. Overview Upon successful completion of this course, students will be able to will perform more in-depth analysis of website data by using Google Analytics reports. In this course, you will create a Google Analytics account, create multiple web properties to monitor, and tag website pages with Google Analytics tracking code. You will then create multiple views for collecting and analyzing data, and create filters, goals, and funnels for your views. You will then use Google Analytics real-time reports and dashboards to perform quick analysis of your monitored websites. IMPLEMENTING GOOGLE ANALYTICS * Overview of Google Analytics * Create a Google Analytics Account * Tag Your Pages CONFIGURING GOOGLE ANALYTICS * Configure Google Analytics Settings * Configure Accounts, Properties, and Views CONFIGURING GOALS, FUNNELS, AND FILTERS * Configure Goals * Configure Funnels * Configure Filters CONFIGURING MONITORING AND ALERTING * Monitor Real-Time Reports * Manage Dashboards * Manage Custom Alerts ANALYZING WEBSITE TRAFFIC * Analyze Web Traffic with Audience Reports * Analyze Web Traffic with Acquisition Reports ANALYZING BEHAVIOR AND CONVERSIONS * Analyze Data with Behavior Reports * Analyze Data with Conversion Reports * Create Reports with Google Data Studio

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

Duration 3 Days 18 CPD hours This course is intended for Before taking this course delegates should already be familiar with basic analytics techniques, comfortable with basic data manipulation tools such as spreadsheets and databases and already familiar with at least one programming language Overview This course teaches delegates who are already familiar with analytics techniques and at least one programming language how to effectively use the programming language for three tasks: data manipulation and preparation, statistical analysis and advanced analytics (including predictive modelling and segmentation). 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. Outcomes: After completing the course, delegates will be capable of writing production-ready R code to perform advanced analytics tasks enabling their organisations make better, data-driven decisions. 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. TOPIC 1 * Intro to our chosen language TOPIC 2 * Basic programming conventions TOPIC 3 * Data structures TOPIC 4 * Accessing data TOPIC 5 * Descriptive statistics TOPIC 6 * Data visualisation TOPIC 7 * Statistical analysis TOPIC 8 * Advanced data manipulation TOPIC 9 * Advanced analytics ? predictive modelling TOPIC 10 * Advanced analytics ? segmentation

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 three-day instructor-led course is aimed at modern device management professionals looking to manage their enterprise devices using Microsoft Intune. This course will cover Enrolment, Application Management, Endpoint Security and Windows Autopilot as well as Azure Active Directory Conditional Access and Identity Protection. The delegates will learn how to enroll devices, deploy applications and manage them to maximize user productivity and device security. 1: INTRODUCTION TO MICROSOFT INTUNE * Mobile Device Management * Microsoft Intune * Azure Active Directory * AAD Identity Protection * AAD Conditional Access 2: MICROSOFT INTUNE DEVICE MANAGEMENT * Enrolling Devices * Device Compliance * Device Profiles * Device Updates 3: MICROSOFT INTUNE APPLICATION MANAGEMENT * Application Management * Deploying Applications * Application Configuration * Managing Applications * Policy Sets and Guided Scenarios 4: MICROSOFT INTUNE ENDPOINT SECURITY * Security Baselines and tasks * Antivirus * Disk Encryption * Firewall * Atack Surface reduction * Endpoint detection and response * Account Protection 5: DEPLOYING WINDOWS WITH WINDOWS AUTOPILOT * Windows Autopilot overview * Preparing for Windows Autopilot deployment * Deploying Windows 11 using Windows Autopilot 6: MICROSOFT INTUNE ADDITIONAL AND PREMIUM FEATURES * Remote Help * Tunnel for Mobile Application Management * Endpoint Privilege Management * Advanced Endpoint Analytics ADDITIONAL COURSE DETAILS: Nexus Humans 55399 Implementing and Managing Microsoft Intune 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 55399 Implementing and Managing Microsoft Intune 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. 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 1 Days 6 CPD hours This course is intended for Multi-role (consumers, business authors, professional authors, developers, administrators, modelers, project managers) This course provides students with an overview of the IBM Cognos Analytics suite of products and their underlying architecture. Students will examine each component as it relates to an Analytics solution & will be shown a range of resources. IBM COGNOS ANALYTICS * Describe IBM Cognos Analytics * Describe IBM Cognos Analytics components * Describe IBM Cognos architecture at a high level * Describe IBM Cognos security at a high level CONSUME CONTENT IN IBM COGNOS ANALYTICS * Where do consumers access BI content? * Use published reports * Drill through to related data * Specify run report options * Specify properties of an entry * Alerts and Watch Items CREATE REPORTS IN IBM COGNOS ANALYTICS * Overview of reporting and report authoring * Identify package types, uploaded files, and data modules available for reporting * Examine IBM Cognos Analytics - Reporting * Examine the interface * Explore different report types * Create a simple, sorted, and formatted report * Create a report view * Create a subscription * Create an Active Report * Import and report on personal data CREATE DASHBOARDS IN IBM COGNOS ANALYTICS * Describe IBM Cognos Dashboarding * Identify the IBM Cognos Dashboarding user interface * Add report content and tools to create dashboards * Widget-to-widget communication * Filter data in the dashboard * Sort, group and ungroup, and calculate data CREATE METADATA MODELS IN IBM COGNOS ANALYTICS * Define IBM Cognos Framework Manager and its purpose * Describe the IBM Cognos Framework Manager environment * Describe IBM Cognos Cube Designer * Get high-level content from Dynamic Cubes course and/or FM course * Web-based Modeling * Create Data Modules EXTEND IBM COGNOS ANALYTICS * Introduction to IBM Cognos Mobile * Key features * Examine Cognos Mobile architecture * Identify supported products * Introduction to IBM Cognos BI for Microsoft Office * Describe Cognos Analysis for Excel (CAF) COMPARE IBM COGNOS ANALYTICS & IBM COGNOS BI * New features in IBM Cognos Analytics * Changes from IBM Cognos BI to IBM Cognos Analytics * Legacy option * Examine Event Studio * Examine the role of Event Studio in Performance Management * List the benefits of Event Studio * Examine Metric Studio * Identify scorecards, metrics, and metric types * Organize metrics with strategies * Track initiatives with projects