Advanced Analytics & Data Mining (2 days)

Duration:

Two day course  

What you will take away from this training

• How does “advanced analytics” relate to common statistics, OLAP, and SQL querying?
• Which analytics techniques belong in the tools chest of a versatile analytics professional? How do they compare?
• What kind of data (structures) are required for these activities? What might they look like?
• How do you get these data, and enhance them?
• How to assess the statistical properties of a model?
• What are “best practices”, and “tips & tricks” once you’ve mastered the basics and are familiar with most techniques?
• When to invest in advanced data preparation, and how to do it?

Who should attend?

Many BI Professionals are hearing about this new wave of “advanced analytics”, “big data”, and the importance of leveraging data as a strategic asset. But how do you do that? And, what roadblocks are you likely to encounter in developing models, and putting them to use. We’ll spend a fair amount of time discussing how to foster adoption of advanced analytics in organizations that are new to this.

If you are interested in extracting more value from the data in your BI environment, then this class is for you.

Format

The course consists of plenary lecturing and working in small groups to find alternative approaches for a number of practical exercises. There are also some hands-on modelling exercises, and a few applied statistical challenges. No tool specific knowledge is required.

What prior knowledge and/or experience is required?

BI professionals with at least 2-3 years of experience in data analytics will benefit the most from this course. Data analysts with 5-10 years of experience (or more) may skip the first day, and join in on the 2nd day.

Instructor

Tom Breur, is principal of XLNT Consulting, dedicated to helping companies make more money with their data. He started his career using COBOL and punchcards, and has been working with computers for 35 years since then. The last 25 years of these have been in areas we nowadays call "business intelligence." He has written dozens of papers in peer reviewed Journals, is data quality expert for Beyenetwork, for which he publishes a monthly paper. Tom has served on the editorial boards of the Journal of Targeting and the Journal of Financial Services Management for the last 10 years. Tom has trained over 100 Certified Business Intelligence Professionals (TDWI's CBIP certificate). He frequently keynotes at international conferences, and is a lecturer at universities and MBA tracks of TIAS, UFSIA, and ING Business School. His fields of interest span the entire BI value chain from back-end to front-end. From data modeling to data warehousing, data mining and BI strategy, to performance management and scorecarding.

Registration

	Duration: Two day course What you will take away from this training How does “advanced analytics” relate to common statistics, OLAP, and SQL querying? Which analytics techniques belong in the tools chest of a versatile analytics professional? How do they compare? What kind of data (structures) are required for these activities? What might they look like? How do you get these data, and enhance them? How to assess the statistical properties of a model? What are “best practices”, and “tips & tricks” once you’ve mastered the basics and are familiar with most techniques? When to invest in advanced data preparation, and how to do it? Ticket for training. Early bird price goes up to 3 weeks before start of the training All details can be found in our events, please look at our events section. Read more >>	€1.095,00 My Cart >>