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Attendees will receive 3 months of unlimited online access, a course materials book, and a certificate of completion. Conference Founder Workshop Description Business metrics do a great job summarizing the past. But if you want to predict how customers will respond in the future, there is one place to turn — predictive analytics and machine learning. By learning from your abundant historical data, predictive analytics delivers something beyond standard business reports and sales forecasts: actionable predictions for each customer.
These predictions encompass all channels, both online and off, foreseeing which customers will buy, click, respond, convert or cancel. If you predict it, you own it. The customer predictions generated by predictive analytics deliver more relevant content to each customer, improving response rates, click rates, buying behavior, retention and overall profit. For online applications such as e-marketing and customer care recommendations, predictive analytics acts in real-time, dynamically selecting the ad, web content or cross-sell product each visitor is most likely to click on or respond to.
Predictive Analytics Applied is a self-paced online course instructed by the founder of Predictive Analytics World that covers the following topics: Applications: Business, marketing and web problems solved with predictive analytics. The many ways its predictions can be used to drive various business decisions. What a predictive model looks like under the cover. What data is required for predictive modeling.
Evaluation: How well a predictive model works and how much revenue it generates Management: Project leadership and business process for predictive analytics; the organizational challenges and how to overcome them. Online training participants receive: Unlimited access for three months: View the training module videos as many times as desired for three months, easily skipping to any topic or sub-topic of the training program. Course materials book: Over pages of material that corresponds with the presentation slides shown in the training videos one book page per slide , and contains additional detailed notes, references and pointers to online resources.
Online Video Format. This online training program consists of high-quality videos recorded for online viewing not the recording of a live seminar. The videos consist of training content, software demos and intermittent instructor appearances, with verbal instruction throughout. The video image is large — the resolution is by by including video control areas , which is a large portion of your screen — possibly the entirety of your screen, depending on its resolution.
Since the contents are concentrated, the recommended pace is to view one module per week. On the faster side, the entire program may be "crammed" in just four days by viewing one to minute module per day. Who this online course is for: Managers.
Project leaders, directors, CXOs, vice presidents, investors and decision makers of any kind involved with analytics, direct marketing or online marketing activities. Personnel running or supporting direct marketing, response modeling, or online marketing who wish to improve response rates and increase campaign ROI for retention, upsell and cross-sell. Technology experts. Analysts, data scientists, BI directors, developers, DBAs, data warehousers, web analysts, and consultants who wish to extend their expertise to predictive analytics.
In order to meet the unique training needs of business decision makers and analytics practitioners, this training program is: Business-focused. Unlike other training programs that also cover scientific, engineering and medical applications of data science and analytics, this seminar focuses squarely on solving business and marketing problems with these methods.
Comprehensive across business needs. Within this realm, however, we step beyond the standard application of response modeling for direct marketing to solve a wide range of business problems. Vendor-neutral and method-neutral. This training program, which is not run by an analytics software vendor, provides a balanced view across analytics tools and methods. No background in statistics or modeling is required. The only specific knowledge assumed for this training program is moderate experience with Microsoft Excel or equivalent.
Please contact Prediction Impact with any questions about this training program. Start learning right now The following short, published articles, written by the instructor, are a great place to get started. Note that these articles are not required reading; most of the material therein will be covered during the training program.
The program seeks to accomplish this goal first through the recruitment, placement and support of diverse health professionals at the junior, mid and senior levels.
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