Date(s): May 19, 2014 - May 23, 2014

Time: 8:30 AM  EST - 5:00 PM  EST

Location:
116 East 55th Street, New York City, New York, (212) 317-3500

LunaMetrics will be hosting a week of seminars dedicated to exploring the ins-and-outs of Google Analytics & Google AdWords, with seminars for those just getting started with Analytics to advanced Analytics implementation and customization. Interested in attending? Register here, or if you can't make these dates, check out our other New York City Google Analytics training days.

Have questions or want to register over the phone? Contact Dan Wilkerson at wilkerson@lunametrics.com or by calling (412) 381-5500.

Date(s): May 19, 2014 - May 23, 2014

Time: All Day

Location:
Phoenix, AZ

Event Website: http://training.cardinalpath.com/google-adwords-analytics/phoenix/?utm_campaign=Phoenix-Training&utm_source=daa-calendar&utm_medium=listing

Cardinal Path is the largest Global Digital Training Program in the world.  With Adwords & Analytics courses available, attendees walk away from each training day with actionable insight into growing and tracking their digital footprint.

Our multi day Google Analytics trainings cater to beginner and advanced analysts. Select the course that best meets your needs or combine multiple days (and save) to create the right learning track for you and your digital analytics team.

Google Analytics 101

For a better understanding of Google Analytics features and functions, consider the 101 course which is designed for beginners but perfect for light users looking for a deeper dive into the platform.

Google Analytics 201

The 201 Google Analytics course speaks directly to Digital Marketers.  Attendees can expect to leave with a better sense of how to capture more of their company’s digital foot print.

Google Analytics 301

Our 301 course moves beyond the basics to address more advanced features and implementations of Google Analytics.  While this course includes technical components, interested attendees should not feel intimidated by a lack of technical experience.  This course can be quite valuable in understanding the full breadth of Google Analytics capabilities.

Once the training day ends, the learning continues!  All attendees to Cardinal Path's Training programs are instantly enrolled in the Cardinal Path Training Alumni program where they will have access to valuable webinars covering the latest trends in the fields of Adwords & Analytics.

Register today and take the first steps toward understanding your digital presence.

Date(s): May 22, 2014

Time: 12:30 PM  CST - 6:00 PM  CST

Location:
The University of Texas at Austin Commons Learning Center Commons Building (#137) is located at: J.J. Pickle Research Campus 10100 Burnet Road, Austin, TX 78758 (between U.S. 183 and Braker Lane)

Data Analytics - Driving High Performance Marketing

Data analytics is no longer just a 'silo' of activity. Marketing leaders recognize analytics IS a key to driving high performance marketing and effective competing. Marketers themselves have access to data that can tell them the impact they're having; often in real-time. In this type of environment, marketers must develop the analytical skills required to understand how to use available data to figure out what their prospects or customers need to stay in the fast lane. Digital analytics professionals have to be ready to take on a more strategic role by acting as a skilled expert driver who must also connect digital data with the rest of an organization's datasets.

Registration

Registration for DAA members is at the discounted price of $25, while non-members can register for $75. This is a great time to join the association and avail yourself to the many opportunities that DAA membership offers.
 
Cancellation Policy
 No refunds will be given for cancellations received after April 22, 2014. Cancellations received in writing prior to April 22, 2014 will be refunded 50% of the registration fee paid.

Date(s): May 20, 2014 - June 17, 2014

Time: All Day

Event Website: http://cstudies.ubc.ca/a/Course/Introduction-to-Web-Analytics/IV201/

Introduction to Web Analytics

This course can be applied to the UBC/DAA Award of Achievement in Digital Analytics or theCertificate in Web Intelligence.

Discover how web analytics can drive higher profits, improve the customer experience, and create measurable value to your business. Drawing extensively from case studies and practical applications, explore the key concepts, techniques and practices of web analytics, and how you can successfully promote the use of web analytics within your organization.

Note: This course is recommended as a foundation for all other digital analytics courses.

Course topics include:

• key concepts including analytics, key terms and how they are used
• Key Performance Indicators (KPIs), why they are important
• measuring actions: the conversion chain
• understanding the difference between data collection methods
• key tools and diagnostics based on different web site objectives
• the fundamentals of Search Engine Optimization (SEO)measurement
• the fundamentals of visitor behavior analysis
• measuring and optimizing paid search campaigns
• how to develop KPIs that are aligned with your mission and business objectives
• the analyst skill set: who and what you'll need.

Standard Fee: $710

Digital Analytics Association Members qualify for a special member rate of $640 CAD. Enter the associated coupon code from the membership section of the Digital Analytics Association website to receive this discount.

If you have significant web analytics experience and feel it might not be necessary for you to take this introductory course as a pre-requisite, you may substitute one of the following courses in its place: Fundamentals of Business Analysis, Project Management Fundamentals or Program Management Governance. To substitute another course for Introduction to Web Analytics, please complete a Prior Learning Assessment Request Form.
 

Format

The format of this course is 100% online. Prior to 4pm PST on the start date of the course, an email will be sent to all registered students containing instructions on how to access the online Learning Management System.

Date(s): May 17, 2014 - June 14, 2014

Time: All Day

Event Website: http://cstudies.ubc.ca/a/Course/Creating-and-Managing-the-Analytical-Business-Culture/IV202/

Creating and Managing the Analytical Business Culture

This course can be applied to the UBC/DAA Award of Achievement in Digital Analytics or theCertificate in Web Intelligence.

Learn essential digital analytical management strategies and processes that will give you the knowledge and practical skills for successful web and other digital analytics deployment. Explore topics such as getting organizational buy-in for analytics usage and data-driven decision making, choosing and deploying the right solutions to meet business needs, staffing and training the organization, and communicating information to diverse constituents.

Course topics include:

• creating an RFP
• examining the typical sales cycle process
• understanding various models for data collection including quantitative and qualitative data
• characteristics of the Web Analytics Manager position
• establishing a process for requesting reporting and/or analysis
• functional ownership for web analytics data
• incorporating web analytics elements into existing processes
• product roadmap for KPI dashboard
• how reporting drives investigative analysis
• managing downward and upward - promoting the analytics culture
• establishing baselines and creating the impact / pro-forma analysis

Note: We recommend taking Introduction to Web Analytics (IV201) prior to this course.

Standard Fee: $710

Digital Analytics Association Members qualify for a special member rate of $640 CAD. Enter the associated coupon code from the membership section of the Digital Analytics Association website to receive this discount.

Format

The format of this course is 100% online. Prior to 4pm PST on the start date of the course, an email will be sent to all registered students containing instructions on how to access the online Learning Management System.