201 Marketing courses in Cardiff delivered Live Online

Duration 3 Days 18 CPD hours This course is intended for Data Science for Marketing Analytics is designed for developers and marketing analysts looking to use new, more sophisticated tools in their marketing analytics efforts. It'll help if you have prior experience of coding in Python and knowledge of high school level mathematics. Some experience with databases, Excel, statistics, or Tableau is useful but not necessary. Overview By the end of this course, you will be able to build your own marketing reporting and interactive dashboard solutions. The course starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you'll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation.As you make your way through the course, you'll explore ways to evaluate and select the best segmentation approach, and go on to create a linear regression model on customer value data to predict lifetime value. In the concluding sections, you'll gain an understanding of regression techniques and tools for evaluating regression models, and explore ways to predict customer choice using classification algorithms. Finally, you'll apply these techniques to create a churn model for modeling customer product choices. Data Preparation and Cleaning Data Models and Structured Data pandas Data Manipulation Data Exploration and Visualization Identifying the Right Attributes Generating Targeted Insights Visualizing Data Unsupervised Learning: Customer Segmentation Customer Segmentation Methods Similarity and Data Standardization k-means Clustering Choosing the Best Segmentation Approach Choosing the Number of Clusters Different Methods of Clustering Evaluating Clustering Predicting Customer Revenue Using Linear Regression Understanding Regression Feature Engineering for Regression Performing and Interpreting Linear Regression Other Regression Techniques and Tools for Evaluation Evaluating the Accuracy of a Regression Model Using Regularization for Feature Selection Tree-Based Regression Models Supervised Learning: Predicting Customer Churn Classification Problems Understanding Logistic Regression Creating a Data Science Pipeline Fine-Tuning Classification Algorithms Support Vector Machine Decision Trees Random Forest Preprocessing Data for Machine Learning Models Model Evaluation Performance Metrics Modeling Customer Choice Understanding Multiclass Classification Class Imbalanced Data Additional course details: Nexus Humans Data Science for Marketing Analytics 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 Data Science for Marketing Analytics 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.

Blog Magic members can join these 90-minute co-working calls to get dedicated time to ask questions about blogging and to start writing, planning, or publishing their blog.

Customer service just isn’t enough. Customer experience is where the secret to success lies. Build a loyal and fruitful customer base by learning how to design frictionless processes and build empathetic and solution-focused services with our bespoke courses, which include: Customer service vs customer experience The changing nature of customers and how to stay ahead Customer needs vs customer expectations How our behaviour affects those around us and how to use the power of influence Communicating with customers positively and effectively Moments that matter Building trust and integrity What to do when things go wrong

Duration 5 Days 30 CPD hours This course is intended for This class is ideal for merchants, marketers, and content managers who want to learn more about using B2C Commerce Cloud Business Manager to manage end-to-end business operations for a Commerce Cloud storefront. This course is also useful for developers preparing for the B2C Commerce Developer certification, providing information on working with a B2C site and data management using Business Manager. Overview Organize a storefront using catalogs, categories, products, pricing, and search refinements. Improve results in search engines using SEO best practices. Improve on-site search using the search index, Einstein Search dictionaries, and sorting rules. Entice and target online shoppers using customer groups, qualifiers, campaigns, and promotions. Create shopper experiences using content slots, Page Designer, and Einstein Recommendations. Leverage analytics and reports to determine success. Create A/B tests to make decisions on storefront experiences. Discover how to present products in a compelling way on a B2C Commerce Cloud storefront so you can turn customers into repeat customers. In this 5-day extended* class, you?ll learn how to improve conversion rates and increase the average order size of shoppers. Our B2C Commerce Cloud experts will walk you through how to organize an existing site, use best practices in search and online marketing, enhance the shopper experience, and leverage analytics to understand what products are selling best and why. NOTE: This course does not include site creation, programming, or site design. This class is taught using the SFRA reference architecture site and not the client?s specific site. Client specific site is used during the Launch Readiness Bootcamp conducted by Services. Getting Started Introductions Housekeeping B2C Commerce Overview Shop Organization Explain How Catalogs Work Create Categories Manage Products Manage Pricing & Inventory Configure Search Refinements Search & Sort Manage Search Engine Optimization Implement Searchandizing Strategies Online Marketing Use Qualifiers (coupon codes, source codes, customer groups) Create Promotions Create and Manage Campaigns Refine Campaigns Shopper Experience Identify Content Management Basics Create and Manage Content Slots Create a Page Using Page Designer Identify Einstein Recommender Types and Related Strategies Analysis and Optimization View Production Reports Create an A/B Test

Whetstone Communications and comms2point0 are pleased to bring you the Data Bites series of free webinars. Our aim is to boost interest and levels of data literacy among not-for-profit communicators.

Whetstone Communications and comms2point0 are pleased to bring you the Data Bites series of free webinars. Our aim is to boost interest and levels of data literacy among not-for-profit communicators.

Whetstone Communications and comms2point0 are pleased to bring you the Data Bites series of free webinars. Our aim is to boost interest and levels of data literacy among not-for-profit communicators.

Whetstone Communications and comms2point0 are pleased to bring you the Data Bites series of free webinars. Our aim is to boost interest and levels of data literacy among not-for-profit communicators.

Whetstone Communications and comms2point0 are pleased to bring you the Data Bites series of free webinars. Our aim is to boost interest and levels of data literacy among not-for-profit communicators.

Whetstone Communications and comms2point0 are pleased to bring you the Data Bites series of free webinars. Our aim is to boost interest and levels of data literacy among not-for-profit communicators.