5 Marketing Analytics courses 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.

* How can scheduling your social media posts help you, and how does it work?  * What are the options out there for scheduling, and how easy is it?   Tutorial:  * Scheduling posts on Facebook/Instagram with Meta Business Suite  * Scheduling posts on LinkedIn    What are some other options for scheduling? (Paid)  * Hootsuite  * MeetEdgar    * How do both of these work?  * Are they worth it?    * Meet Edgar affiliate link    Event details: Date: Wednesday 10th July 2024 Time: 10am – 11.30am Location: Online (ZOOM) For: Businesses based in Luton -------------------------------------------------------------------------------- The Luton Online: Digital Marketing Launchpad is a project funded by the UK Government through the UK Shared Prosperity Fund. The UK Shared Prosperity Fund is a central pillar of the UK government's Levelling Up agenda and provides £2.6 billion of funding for local investment by March 2025. The Fund aims to improve pride in place and increase life chances across the UK investing in communities and place, supporting local business, and people and skills. For more information, visit: https://www.gov.uk/government/publications/uk-shared-prosperity-fund-prospectus [https://www.gov.uk/government/publications/uk-shared-prosperity-fund-prospectus]

Scheduling your social media content can help you to stay organised, keep consistent with your posting, and help you stay true to your goals for your business on Social Media! In this course, we’ll be looking at Social Media Scheduling – what it is, how it can benefit you, and most importantly – how to do it! We’ll cover: * How social media scheduling can benefit your business * The platforms you can use for social media scheduling and what might be the best option for you * How to use Meta Business Suite to schedule posts for Facebook and Instagram * How schedule posts on Linkedin  * Using a Third party and paid software like Hootsuite or an alternative platform   As part of the live event of this workshop, we will also have a Questions and Answers session to finish this online workshop, where participants can ask specific questions about social media scheduling for their business.   Event details: Date: Wednesday 6th November 2024 Time: 10am – 11.30am Location: Online (ZOOM) For: Businesses based in Luton -------------------------------------------------------------------------------- The Luton Online: Digital Marketing Launchpad is a project funded by the UK Government through the UK Shared Prosperity Fund. The UK Shared Prosperity Fund is a central pillar of the UK government's Levelling Up agenda and provides £2.6 billion of funding for local investment by March 2025. The Fund aims to improve pride in place and increase life chances across the UK investing in communities and place, supporting local business, and people and skills. For more information, visit: https://www.gov.uk/government/publications/uk-shared-prosperity-fund-prospectus [https://www.gov.uk/government/publications/uk-shared-prosperity-fund-prospectus]

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 intended for system and network administrators or operators responsible for the installation, setup, configuration, and administration of the BIG-IQ system or management of BIG-IP devices and F5 products running on those devices. This course uses lectures and hands-on exercises to give participants real-time experience in configuring and using the BIG-IQ© product. Students are introduced to BIG-IQ, its interface, and its various functionality. We first look at administering and operating the BIG-IQ system itself, then detail how it is used to remotely manage BIG-IP devices running BIG-IP Local Traffic Manager (LTM). We then look configuring a BIG-IQ Data Collection Device (DCD) system and see how it is used for the remote storage and examination of BIG-IP log events and statistics. MODULE 1: BIG-IQ OVERVIEW * BIG-IQ Centralized Management * BIG-IQ Components * BIG-IQ Core Functionality * REST API * BIG-IQ Data Collection Device (DCD) * BIG-IP Cloud Edition (CE) * Setting up the BIG-IQ System MODULE 2: ADMINISTERING THE BIG-IQ SYSTEM * Controlling Access to the BIG-IQ * Creating, Authenticating, Configuring Users * Backups * Local Host Settings * Configuring DNS, NTP, and SMTP * Monitoring BIG-IQ, DCD, and BIG-IP Events with Alerts * Monitoring BIG-IQ with iHealth * Post Installation Issues; Licensing, Changing Management IP, Master Key, Restoring Backups MODULE 3: MANAGING BIG-IP LTM DEVICES * BIG-IP LTM Device Discovery * BIG-IP Device Backup * Deploying to BIG-IP Devices * Deployment and Deployment Logs * Configuration Snapshots * Managing BIG-IP Certificates * Managing BIG-IP Licenses * Monitoring BIG-IP Devices with iHealth * Management of QKView Reports from Managed BIG-IP Devices MODULE 4: SETTING UP THE BIG-IQ DATA COLLECTION DEVICE * Custom Roles Types and Groups * Setting up User Accounts with custom roles and privileges * Managing BIG-IP DSC * Discovery and management of BIG-IP Device Clusters (DSC) with BIG-IQ * Administering BIG-IQ High Availability * Configuration and management of BIG-IQ systems in a High Availability pair