47 Data Quality courses delivered Online

Duration 4 Days 24 CPD hours This course is intended for This class is ideal for admins with at least 6 months of experience administering Salesforce, and is a great foundational course for anyone looking to earn their Salesforce Advanced Administrator credential. Overview Determine and implement appropriate data access and visibility settings. Manage configuration changes in a sandbox environment and move metadata between environments using change sets. Extend the functionality of your implementation with custom objects and apps. Extend your reporting to provide up-to-date views of your business. Customize the Salesforce mobile app and create quick actions to increase efficiency. Improve data quality so that the ongoing task of data maintenance is not so overwhelming. Implement complex business processes using workflow rules, Process Builder, approval processes, and flows. Take your Salesforce Administrator skills to the next level and supercharge your knowledge to solve pressing business needs. In this 4-day class, discover how to extend Salesforce with custom objects and Lightning apps, generate complex reports and dashboards, and automate complex business requirements to work more efficiently. Our Salesforce experts will share tips and best practices to take your admin skills to the next level and arm you with the skills to get more out of Salesforce. Record Access and Field Visibility Troubleshoot Record Access Understand the Impact of Territory Management on the Sharing Model Manage Field Visibility Change Management Manage Changes in a Sandbox Deploy Changes Using Change Sets Custom Objects and Apps Build Custom Objects, Tabs, and Apps Create Relationships Between Objects Use Delegated Administration Advanced Reporting Create Custom Report Types Build Exception Reports with Cross Filters Categorize Report Data with Bucketing Extend Summaries in Reports and Dashboards Display Multiple Views of Data Using Joined Reports Analyze Data Over Time with Historical Trending and Reporting Snapshots Salesforce Mobile App and Quick Actions Customize the Salesforce Mobile App Create Object-Specific Quick Actions Create Global Quick Actions Data Quality Assess, Cleanse, and Maintain Data Prevent Duplicate Records Using Duplicate Management Automated Business Processes Use Validation Rules, Formula Fields, Workflow Rules, and Process Builder to Enforce and Automate Business Processes Approval Processes Manage Approval Processes Troubleshoot Approval Processes Visual Workflow Understand Use Cases for Visual Workflow Build and Deploy a Flow Advanced Business Process Automation Understand When to Use Apex and Visualforce for Extending Business Process Automation Understand the Order of Execution for Automated Processes Use Debug Logs to Troubleshoot Business Process Issues

💻 Unlock the Power of Information: Information Management Course! 🌐 Ready to harness the full potential of information for organizational success? Enroll in our Information Management Course, a comprehensive program designed to empower you with the skills and knowledge needed to become a proficient information manager. Join us on a transformative journey where data meets strategy, and turn your passion for organized information into a dynamic career. 🌟 Module 1: Introduction to Information Management Embark on your information journey with Module 1, offering a comprehensive introduction to the dynamic world of information management. Explore the fundamental principles, practices, and the critical role information plays in organizational success. Lay the foundation for your career as an information management expert. 📜 Module 2: Information Governance Navigate the complex landscape of information governance with Module 2. Learn to establish policies, standards, and procedures that ensure the effective and secure use of information. Explore compliance, risk management, and ethical considerations, laying the groundwork for robust information governance practices. 🏰 Module 3: Information Architecture Build the foundation of organized information with Module 3, dedicated to information architecture. Explore the design and organization of information structures, ensuring accessibility, usability, and findability. Learn to create taxonomies, metadata frameworks, and user-centered information architectures for efficient data retrieval. 📊 Module 4: Data Management Master the art of data with Module 4, focusing on data management. Explore the lifecycle of data, from acquisition and storage to processing and analysis. Learn database management, data quality assurance, and the implementation of effective data governance practices. 📚 Module 5: Knowledge Management Transform information into organizational wisdom with Module 5, dedicated to knowledge management. Explore strategies for capturing, storing, and sharing organizational knowledge. Learn to foster a knowledge-sharing culture, leverage technology for collaboration, and enhance decision-making processes. 🌟 Why Choose Our Information Management Course? Industry-Experienced Instructors: Learn from seasoned information management professionals with a wealth of hands-on experience. Practical Learning: Engage in real-world projects, case studies, and simulations to apply your knowledge in a practical setting. Cutting-Edge Technologies: Familiarize yourself with the latest information management tools and technologies used in the industry. Career-Ready Skills: Graduate with skills that align with the demands of the evolving information management landscape. Don't miss the opportunity to become a steward of information excellence! Enroll now in the Information Management Course and position yourself for success in a field where your organizational skills and strategic thinking will shine. Your journey into the world of information management brilliance begins here! 💻✨🎓 Course Curriculum Module 1_ Introduction to Information Management. Introduction to Information Management. 00:00 Module 2_ Information Governance. Information Governance. 00:00 Module 3_ Information Architecture. Information Architecture. 00:00 Module 4_ Data Management. Data Management. 00:00 Module 5_ Knowledge Management. Knowledge Management. 00:00

This PMI-RMP Certification Training will help you master the processes of risk management and the structured and objective approach to addressing uncertainty in projects. You will learn how to conduct risk planning, identification and analysis, and control both known and unknown risks in projects.

Master the art of Information Governance with our comprehensive course – explore Data Protection, Privacy Management, Records & Data Governance, Cybersecurity, Compliance, and more. Acquire the skills to navigate the complex landscape of information, ensuring ethical data use and compliance with global regulations. Join us for a transformative learning experience

Duration 3 Days 18 CPD hours This course is intended for This class is designed for individuals who are (or will soon be) supporting a Salesforce implementation in a decision-making capacity. This includes, but is not limited to, business analysts, IT managers, project managers, executive leaders, and executive sponsors. This class is not recommended for individuals tasked with solution-building. Overview When you complete this course, you will be able to: Identify key stakeholders needed for a successful Salesforce implementation. Describe the Salesforce data model as it relates to Customer 360, Salesforce Clouds, and the Salesforce Platform. Communicate the appropriate security measures needed to control org and data access. Discuss which standard or custom objects and applications should be implemented based on specific requirements and use cases. Effectively strategize how to migrate data into your Salesforce org while maintaining high data quality. Understand Salesforce automation tools and how they solve for various business challenges. Analyze Salesforce data with Reports and Dashboards. Navigate the key phases and milestones of a Salesforce implementation. Explore Salesforce features and functionality and gain the knowledge to make Salesforce implementation decisions with confidence. In this 3-day, heavily discussion-based class, learn about standard and custom objects and applications, data management, data visualization, flow automation tools, security mechanisms, and more. Successfully navigate the key phases and milestones of a Salesforce implementation, effectively communicate business needs, and provide directives to team members tasked with solution-building to deliver a robust Salesforce solution that achieves business goals. Salesforce Data Model Discover the Customer 360 Platform Examine Salesforce Clouds Navigate the Salesforce Platform Review the Salesforce Platform Data Model Understand Data Visualization Security & Access Create Users Access the Org Control Data Objects & Applications Review Standard Objects Understand Custom Objects Explore Standard Applications Discover Custom Applications Salesforce Customizations Work with Fields Design Page Layouts Understand Record Types Review Dynamic Capabilities Successful Data Management Determine Data Strategy Create Data Ensure Data Quality Process Automation Streamline Business Processes Using Automation Tools Learn Purpose-Driven Automation Automate With Flow Data Analysis Using Reports & Dashboards Organize Reports and Dashboards Build Reports Create Dashboards Create an Analytics Strategy Adoption & Continued Improvement Adopt Your Implementation Evaluate Continued Improvements Additional course details: Nexus Humans Understand and Drive Your Salesforce Implementation ( BSX101 ) 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 Understand and Drive Your Salesforce Implementation ( BSX101 ) 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.

24-Hour Flash Sale! Prices Reduced Like Never Before!! Businesses usually plan ahead for their future moves and plans, basing their decisions on prior data. Making dynamic judgements becomes difficult if data is not adequately organised and maintained. In the UK, businesses lose an estimated £12 billion annually due to poor data quality; highlighting the critical role of proficient data administrators. Our comprehensive bundle is designed to enhance your proficiency with the latest tools and compliance practices to make you an asset in any office setting. This bundle covers everything from basic data entry skills to advanced data analysis with Google Data Studio, ensuring a well-rounded skill set. Courses like the Data Entry Administrator Diploma and Data Entry Clerk & Office Admin Assistant provide foundational knowledge, while General Data Protection Regulation (GDPR) & Cyber Security Management addresses crucial security practices. Additionally, practical skills in Microsoft Excel, Business and Data Analytics, and Financial Analysis are taught, equipping you to handle complex data environments effectively. Courses Are Included in this Data Entry Administrator & Clerk Bundle: Course 01: Data Entry Administrator & Clerk - CPD Certified Course 02: Google Data Studio: Data Analytics Course 03: General Data Protection Regulation (GDPR) & Cyber Security Management Course 04: Business and Data Analytics for Beginners Course 05: Business Administration Course 06: Office Admin Assistant Course 07: Office Administration & Skills Diploma Course 08: Business Improvement Course 09: Financial Analysis Course Course 10: Ultimate Microsoft Excel For Business Bootcamp Course 11: Diploma in Business Proposal Writing Course 12: Business Etiquette and Professional Behaviour Course 13: Negotiation Skills Certificate Course 14: Diploma in Performance Management Course 15: Workplace Confidentiality Course 16: Project Management Course Course 17: Product Management Course 18: Strategic Marketing & Planning Course 19: Visual Merchandising Diploma Course 20: Customer Service Training Embrace the opportunity to become a cornerstone of workplace efficiency and data management by enroling in our Data Entry Administrator course. Enrol now and join us to advance your career and become part of the future of business operations. Learning Outcomes of this Bundle: Master efficient data entry techniques and office administration skills. Analyse data effectively using Google Data Studio and Excel. Understand GDPR compliance and cyber security essentials. Develop business and financial analysis skills for workplace application. Enhance communication, negotiation, and project management capabilities. Apply strategic planning and performance management in business settings. This Diploma in Data Entry Administrator at QLS Level 3 course is endorsed by The Quality Licence Scheme and accredited by CPD QS (with 120 CPD points) to make your skill development & career progression more accessible than ever! Why Prefer this Course? Get a Free CPD Accredited Certificate upon completion of the course Get a Free Student ID Card with this training program (£10 postal charge will be applicable for international delivery) The course is Affordable and Simple to understand Get Lifetime Access to the course materials The training program comes with 24/7 Tutor Support Start your learning journey straight away! Moreover, this diploma offers learners the opportunity to acquire skills that are highly valued in the field of Data Entry. With this Certification, graduates are better positioned to pursue career advancement and higher responsibilities within the Data Entry setting. The skills and knowledge gained from this course will enable learners to make meaningful contributions to Data Entry-related fields, impacting their Data Entry experiences and long-term development. Course Curriculum Course 01: Data Entry Administrator & Clerk - CPD Certified Module 01: Introduction Module 02: Using the Computer Module 03: Common Rules and Guidelines Module 04: Using Excel for Efficient Data Entry Module 05: Using Excel's Flash Fill and Autofill to Automate Data Entry Module 06: How to Create a Form in Excel? Module 07: Using Statistics Packages Course 02: Google Data Studio: Data Analytics Module 01: Introduction to GDS Module 02: Data Visualisation Module 03: Geo-visualisation Module 04: A Socio-Economic Case Study Course 03: General Data Protection Regulation (GDPR) & Cyber Security Management Module 01: The Purpose and Principles of the UK GDPR Module 02: The Legal Foundations of GDPR Module 03: The Governance of GDPR Module 04: Protecting Personal Data Module 05: Exemptions to GDPR Module 06: International Transactions and National Security Module 07: Introduction to Cyber Security Module 08: Cyber Attacks Module 09: Cybercrimes Module 10: Cyber Security and Data Breaches Module 11: Password Management Module 12: Internet Browsing Module 13: Office and Remote Work Security Module 14: Device Management Module 15: Preventative Measures =========>>>>> And 17 More Courses <<<<<========= How will I get my Certificate? After successfully completing the course, you will be able to order your Certificates as proof of your achievement. PDF Certificate: Free (Previously, it was £12.99*20 = £390) CPD Hard Copy Certificate: Free (For The First Course: Previously it was £29.99) QLS Endorsed Hard Copy Certificate: Free (For The Title Course: Previously it was £89) CPD 200 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for: Aspiring data entry clerks Office administrators Career changers Business professionals Administrative staff Requirements You will not need any prior background or expertise to enrol in this course. Career path After completing this bundle, you are to start your career or begin the next phase of your career. Data Entry Administrator: £18,000 - £25,000 Office Manager: £24,000 - £35,000 Business Analyst: £35,000 - £60,000 Financial Analyst: £30,000 - £50,000 Project Manager: £30,000 - £70,000 Certificates CPD Accredited Digital Certificate Digital certificate - Included Upon passing the Bundle, you need to order to receive a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD . CPD Accredited Hard Copy Certificate Hard copy certificate - Included Please note that International students have to pay an additional £10 as a shipment fee. Diploma in Data Entry Administrator at QLS Level 3 Hard copy certificate - Included Please note that International students have to pay an additional £10 as a shipment fee.

Thinking about learning more about how Artificial Intelligence can help in a business? The BCS Foundation Award - How AI Can Support Your Organisation explores the evolution of AI from its inception to present day, and identify potential future AI opportunities which exist to drive organisational strategy at all levels. It considers how AI can make improvements to processes, products and services, enabling an organisation to gain a competitive edge within the market, and the benefits and potential implications it has for the human workforce. You will learn the evolution of AI, an understanding of the shape and structure of organisations, an understanding of the role of AI in an organisation and an understanding of the art of the possible.

Exciting news! My popular 'Getting Started in Data Governance' course is making it's way across the pond! Due to numerous requests, I'm thrilled to announce that I will be hosting a U.S. edition of the course.

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 4 Days 24 CPD hours This course is intended for This class is intended for experienced developers who are responsible for managing big data transformations including: Extracting, loading, transforming, cleaning, and validating data. Designing pipelines and architectures for data processing. Creating and maintaining machine learning and statistical models. Querying datasets, visualizing query results and creating reports Overview Design and build data processing systems on Google Cloud Platform. Leverage unstructured data using Spark and ML APIs on Cloud Dataproc. Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow. Derive business insights from extremely large datasets using Google BigQuery. Train, evaluate and predict using machine learning models using TensorFlow and Cloud ML. Enable instant insights from streaming data Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hand-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data. Introduction to Data Engineering Explore the role of a data engineer. Analyze data engineering challenges. Intro to BigQuery. Data Lakes and Data Warehouses. Demo: Federated Queries with BigQuery. Transactional Databases vs Data Warehouses. Website Demo: Finding PII in your dataset with DLP API. Partner effectively with other data teams. Manage data access and governance. Build production-ready pipelines. Review GCP customer case study. Lab: Analyzing Data with BigQuery. Building a Data Lake Introduction to Data Lakes. Data Storage and ETL options on GCP. Building a Data Lake using Cloud Storage. Optional Demo: Optimizing cost with Google Cloud Storage classes and Cloud Functions. Securing Cloud Storage. Storing All Sorts of Data Types. Video Demo: Running federated queries on Parquet and ORC files in BigQuery. Cloud SQL as a relational Data Lake. Lab: Loading Taxi Data into Cloud SQL. Building a Data Warehouse The modern data warehouse. Intro to BigQuery. Demo: Query TB+ of data in seconds. Getting Started. Loading Data. Video Demo: Querying Cloud SQL from BigQuery. Lab: Loading Data into BigQuery. Exploring Schemas. Demo: Exploring BigQuery Public Datasets with SQL using INFORMATION_SCHEMA. Schema Design. Nested and Repeated Fields. Demo: Nested and repeated fields in BigQuery. Lab: Working with JSON and Array data in BigQuery. Optimizing with Partitioning and Clustering. Demo: Partitioned and Clustered Tables in BigQuery. Preview: Transforming Batch and Streaming Data. Introduction to Building Batch Data Pipelines EL, ELT, ETL. Quality considerations. How to carry out operations in BigQuery. Demo: ELT to improve data quality in BigQuery. Shortcomings. ETL to solve data quality issues. Executing Spark on Cloud Dataproc The Hadoop ecosystem. Running Hadoop on Cloud Dataproc. GCS instead of HDFS. Optimizing Dataproc. Lab: Running Apache Spark jobs on Cloud Dataproc. Serverless Data Processing with Cloud Dataflow Cloud Dataflow. Why customers value Dataflow. Dataflow Pipelines. Lab: A Simple Dataflow Pipeline (Python/Java). Lab: MapReduce in Dataflow (Python/Java). Lab: Side Inputs (Python/Java). Dataflow Templates. Dataflow SQL. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer Building Batch Data Pipelines visually with Cloud Data Fusion. Components. UI Overview. Building a Pipeline. Exploring Data using Wrangler. Lab: Building and executing a pipeline graph in Cloud Data Fusion. Orchestrating work between GCP services with Cloud Composer. Apache Airflow Environment. DAGs and Operators. Workflow Scheduling. Optional Long Demo: Event-triggered Loading of data with Cloud Composer, Cloud Functions, Cloud Storage, and BigQuery. Monitoring and Logging. Lab: An Introduction to Cloud Composer. Introduction to Processing Streaming Data Processing Streaming Data. Serverless Messaging with Cloud Pub/Sub Cloud Pub/Sub. Lab: Publish Streaming Data into Pub/Sub. Cloud Dataflow Streaming Features Cloud Dataflow Streaming Features. Lab: Streaming Data Pipelines. High-Throughput BigQuery and Bigtable Streaming Features BigQuery Streaming Features. Lab: Streaming Analytics and Dashboards. Cloud Bigtable. Lab: Streaming Data Pipelines into Bigtable. Advanced BigQuery Functionality and Performance Analytic Window Functions. Using With Clauses. GIS Functions. Demo: Mapping Fastest Growing Zip Codes with BigQuery GeoViz. Performance Considerations. Lab: Optimizing your BigQuery Queries for Performance. Optional Lab: Creating Date-Partitioned Tables in BigQuery. Introduction to Analytics and AI What is AI?. From Ad-hoc Data Analysis to Data Driven Decisions. Options for ML models on GCP. Prebuilt ML model APIs for Unstructured Data Unstructured Data is Hard. ML APIs for Enriching Data. Lab: Using the Natural Language API to Classify Unstructured Text. Big Data Analytics with Cloud AI Platform Notebooks What's a Notebook. BigQuery Magic and Ties to Pandas. Lab: BigQuery in Jupyter Labs on AI Platform. Production ML Pipelines with Kubeflow Ways to do ML on GCP. Kubeflow. AI Hub. Lab: Running AI models on Kubeflow. Custom Model building with SQL in BigQuery ML BigQuery ML for Quick Model Building. Demo: Train a model with BigQuery ML to predict NYC taxi fares. Supported Models. Lab Option 1: Predict Bike Trip Duration with a Regression Model in BQML. Lab Option 2: Movie Recommendations in BigQuery ML. Custom Model building with Cloud AutoML Why Auto ML? Auto ML Vision. Auto ML NLP. Auto ML Tables.