657 Business Analytics & Intelligence courses delivered Online

Duration 2 Days 12 CPD hours This course is intended for Administrators Overview Please refer to course overview This offering covers the fundamental concepts of installing and configuring IBM Cognos Analytics, and administering servers and content, in a distributed environment. In the course, participants will identify requirements for the installation and configuration of a distributed IBM Cognos Analytics software environment, implement security in the environment, and manage the server components. Students will also monitor and schedule tasks, create data sources, and manage and deploy content in the portal and IBM Cognos Administration. Introduction to IBM Cognos Analytics administration IBM Cognos Analytics components Administration workflow IBM Cognos Administration IBM Cognos Configuration Identify IBM Cognos Analytics architecture Features of the IBM Cognos Analytics architecture Examine the multi-tiered architecture, and identify logging types and files Examine IBM Cognos Analytics servlets Performance and installation planning Balance the request load Configure IBM Cognos Analytics Secure the IBM Cognos Analytics environment Identify the IBM Cognos Analytics security model Define authentication in IBM Cognos Analytics Define authorization in IBM Cognos Analytics Identify security policies Secure the IBM Cognos Analytics environment Administer the IBM Cognos Analytics server environment Administer IBM Cognos Analytics servers Monitor system performance Manage dispatchers and services Tune system performance, and troubleshoot the server Audit logging Dynamic cube data source administration workflow Manage run activities View current, past, and upcoming activities Manage schedules Manage content in IBM Cognos Administration Data sources and packages Manage visualizations in the library Deployment Other content management tasks Examine departmental administration capabilities Create and manage team members Manage activities Create and manage content and data Manage system settings Manage Themes, Extensions, and Views Share services with multiple tenants

Duration 2 Days 12 CPD hours This course is intended for Administrators Overview Please refer to course overview This offering covers the fundamental concepts of installing and configuring IBM Cognos Analytics, and administering servers and content, in a distributed environment. In the course, participants will identify requirements for the installation and configuration of a distributed IBM Cognos Analytics software environment, implement security in the environment, and manage the server components. Students will also monitor and schedule tasks, create data sources, and manage and deploy content in the portal and IBM Cognos Administration. Introduction to IBM Cognos Analytics administration IBM Cognos Analytics components Administration workflow IBM Cognos Administration IBM Cognos Configuration Identify IBM Cognos Analytics architecture Features of the IBM Cognos Analytics architecture Examine the multi-tiered architecture, and identify logging types and files Examine IBM Cognos Analytics servlets Performance and installation planning Balance the request load Configure IBM Cognos Analytics Secure the IBM Cognos Analytics environment Identify the IBM Cognos Analytics security model Define authentication in IBM Cognos Analytics Define authorization in IBM Cognos Analytics Identify security policies Secure the IBM Cognos Analytics environment Administer the IBM Cognos Analytics server environment Administer IBM Cognos Analytics servers Monitor system performance Manage dispatchers and services Tune system performance, and troubleshoot the server Audit logging Dynamic cube data source administration workflow Manage run activities View current, past, and upcoming activities Manage schedules Manage content in IBM Cognos Administration Data sources and packages Manage visualizations in the library Deployment Other content management tasks Examine departmental administration capabilities Create and manage team members Manage activities Create and manage content and data Manage system settings Manage Themes, Extensions, and Views Share services with multiple tenants

In this course, we look at a number of advanced Excel techniques all aimed at helping you make sense of the numbers in your business. Each section in the course contains an exercise for practice and quiz. The course is created using Excel 2019/365 for Windows.

This course takes you through the concepts of Alteryx from scratch. With the help of interesting case studies, you will learn how to use Alteryx for joining datasets, performing union operations, finding and replacing text, sorting and filtering data, and a lot more.

Embark on a journey to establish a successful cleaning business in the UK with our comprehensive course. Learn start-up costs, business models, legal aspects, and client satisfaction strategies. Ideal for entrepreneurs eager to thrive in the cleaning industry.

GDPR Data Protection Law [Updated 2023] Stay ahead in compliance with our updated 2023 GDPR Data Protection Law course. Equip yourself with the latest in GDPR Data Protection standards. Secure your organisation's future with comprehensive GDPR Data Protection knowledge. Learning Outcomes: Navigate the Introduction to GDPR for compliance. Uphold the Principles of GDPR in data management. Ensure Lawful Basis for Processing personal data. Defend the Rights of Data Subject under GDPR. Differentiate roles of Data Controller and Processor. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Key Modules from GDPR Data Protection Law [Updated 2023]: Introduction to GDPR: Familiarise yourself with the GDPR's scope and its impact on GDPR Data Protection practices. Principles of GDPR: Grasp the key GDPR principles that underpin effective GDPR Data Protection strategies. Lawful Basis for Processing: Understand the legal grounds for processing personal data within GDPR Data Protection frameworks. Rights of Data Subject: Recognise the rights individuals hold over their data, a cornerstone of GDPR Data Protection. Data Controller and Data Processor: Define and distinguish between the responsibilities of data controllers and processors under GDPR Data Protection laws. Data Protection by Design and by Default: Implement GDPR Data Protection requirements throughout your data processing activities. Security of Data: Master the security measures required to protect data in line with GDPR Data Protection guidelines. Data Breaches: Learn how to effectively manage and report data breaches in accordance with GDPR Data Protection procedures. Workplace and GDPR: Apply GDPR Data Protection policies within your organisational processes and workplace culture. Transferring Data Outside of EEA: Navigate the complexities of transferring data internationally under GDPR Data Protection rules. Exemptions: Identify the exemptions within GDPR Data Protection law and how they may apply to certain data processing scenarios.

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators. Overview Skills gained in this training include:The features that Pig, Hive, and Impala offer for data acquisition, storage, and analysisThe fundamentals of Apache Hadoop and data ETL (extract, transform, load), ingestion, and processing with HadoopHow Pig, Hive, and Impala improve productivity for typical analysis tasksJoining diverse datasets to gain valuable business insightPerforming real-time, complex queries on datasets Cloudera University?s four-day data analyst training course focusing on Apache Pig and Hive and Cloudera Impala will teach you to apply traditional data analytics and business intelligence skills to big data. Hadoop Fundamentals The Motivation for Hadoop Hadoop Overview Data Storage: HDFS Distributed Data Processing: YARN, MapReduce, and Spark Data Processing and Analysis: Pig, Hive, and Impala Data Integration: Sqoop Other Hadoop Data Tools Exercise Scenarios Explanation Introduction to Pig What Is Pig? Pig?s Features Pig Use Cases Interacting with Pig Basic Data Analysis with Pig Pig Latin Syntax Loading Data Simple Data Types Field Definitions Data Output Viewing the Schema Filtering and Sorting Data Commonly-Used Functions Processing Complex Data with Pig Storage Formats Complex/Nested Data Types Grouping Built-In Functions for Complex Data Iterating Grouped Data Multi-Dataset Operations with Pig Techniques for Combining Data Sets Joining Data Sets in Pig Set Operations Splitting Data Sets Pig Troubleshoot & Optimization Troubleshooting Pig Logging Using Hadoop?s Web UI Data Sampling and Debugging Performance Overview Understanding the Execution Plan Tips for Improving the Performance of Your Pig Jobs Introduction to Hive & Impala What Is Hive? What Is Impala? Schema and Data Storage Comparing Hive to Traditional Databases Hive Use Cases Querying with Hive & Impala Databases and Tables Basic Hive and Impala Query Language Syntax Data Types Differences Between Hive and Impala Query Syntax Using Hue to Execute Queries Using the Impala Shell Data Management Data Storage Creating Databases and Tables Loading Data Altering Databases and Tables Simplifying Queries with Views Storing Query Results Data Storage & Performance Partitioning Tables Choosing a File Format Managing Metadata Controlling Access to Data Relational Data Analysis with Hive & Impala Joining Datasets Common Built-In Functions Aggregation and Windowing Working with Impala How Impala Executes Queries Extending Impala with User-Defined Functions Improving Impala Performance Analyzing Text and Complex Data with Hive Complex Values in Hive Using Regular Expressions in Hive Sentiment Analysis and N-Grams Conclusion Hive Optimization Understanding Query Performance Controlling Job Execution Plan Bucketing Indexing Data Extending Hive SerDes Data Transformation with Custom Scripts User-Defined Functions Parameterized Queries Choosing the Best Tool for the Job Comparing MapReduce, Pig, Hive, Impala, and Relational Databases Which to Choose?

Business Analysis: The Missing Agile Element? While the business analyst as a position has been removed from the agile team composition, business analysis as a function is still necessary. So who does the business analysis and what happens when it is not done appropriately, in the right timeframe and in the right manner? This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.

Dive into the comprehensive world of "Business Operation Management and Succession Planning" with this all-inclusive bundle. It's designed to equip you with the knowledge and skills needed to excel in the business landscape. This bundle encompasses eight essential courses .This courses equips you with the tools to optimize operations, make informed decisions, and navigate legal complexities. Additionally, you'll gain insights into business analysis, financial ratios, and succession planning, ensuring you're well-prepared to drive business growth and continuity. Whether you're an entrepreneur, manager, or aspiring leader, this bundle empowers you to excel in the ever-evolving world of business. Enrol today and start your career growth! Courses in Business Operation Management: Course 1: Business Management Course 2: Business Studies Course 3: Business Plan Course 4: Business Law Course 5: Business Analysis Course Level 5 Course 6: Learn Business Development & Sales from A-Z Course 7: Learn to Identify and Solve Business Problems Course 8: Financial Ratio Analysis for Business Decisions Learning Outcomes: Develop a comprehensive understanding of the foundational principles in this field. Gain insights into creating, analysing, and implementing a robust business plan. Understand the nuances of business analysis, including key techniques and methodologies. Develop the ability to identify, analyse, and provide solutions to pressing issues. Enhance decision-making capabilities using financial ratio analysis. The "Business Operation Management and Succession Planning" course is a comprehensive educational package that combines key business management principles with the crucial aspect of succession planning. Business Operation Management entails overseeing the daily operations of an organization, ensuring efficiency and effectiveness in various facets. Succession planning, on the other hand, refers to the strategic process of identifying and developing potential future leaders within the company.This course not only equips individuals with the skills to manage business operations but also imparts knowledge about nurturing talent and planning for the continued success and stability of an organization through seamless leadership transitions. By merging these two vital areas, it prepares learners to excel in the ever-evolving business landscape while ensuring a smooth transition of leadership for long-term prosperity. So, join us today and make your future brighter. CPD 80 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring business professionals keen on enhancing their operation management knowledge. Entrepreneurs looking to strengthen their foundational business acumen. Individuals aiming to pivot into roles that demand business strategy and decision-making skills. Graduates keen on augmenting their academic understanding with business operation management proficiency. Managers and executives responsible for decision-making within their organizations can sharpen their leadership and operational skills. Requirements Without any formal requirements, you can delightfully enrol in this course. Career path Business Analyst - £30K to £50K/year. Business Development Manager - £25K to £55K/year. Operations Manager - £35K to £60K/year. Financial Analyst - £32K to £52K/year. Business Consultant - £40K to £70K/year. Corporate Lawyer - £50K to £90K/year. Sales Manager - £28K to £54K/year. Certificates CPD Certificate Of Completion Digital certificate - Included 8 Digital Certificates Are Included With This Bundle CPD Quality Standard Hardcopy Certificate (FREE UK Delivery) Hard copy certificate - £9.99 Hardcopy Transcript: £9.99

Data Done Right - The Value of Good Communication Wouldn't it be great if you could see important textual and graphical information quickly and easily? What if it could be updated automatically or by using a simple refresh? What if you could easily change that information as needed, or see it right now with tools you already have, on multiple devices? In this presentation we will show you all of those things. You'll see reports that are produced in MS Project and MS Excel, graphical reports in Visio, and a dashboard that uses all of these tools. And we'll top it off with a discussion about what information to present and not present. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.