Course Description
This 3-day course sharpens your skills with topics in data visualization, data mining and statistics. See how to gather and analyze large or even massive amounts of data, and how to use that data to manage risk and make important business oriented and/or financial decisions.
Course Summary
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Course Modules
- Defining Big Data analytics
- Difference between batch processing and real-time data processing
- Handling streaming data
- Performing ad hoc Big Data querying with Pig and/or Hive
- Data Visualization, Modeling and Predictive Data Analysis
- Predictive vs. descriptive analytics
- Supervised vs. unsupervised learning
- Mining techniques (Clustering, Association rules, Tree classifications and Time series analysis)
- Big Data Cases – Industry specific (Telco, Banking, Retail…)
- Big Data Exploration
- Enhanced 360º View of the Customer
- Security Intelligence Extension
- Operations Analysis
- Data Warehouse Modernization and many more
- Defining Big Data Strategy
Testimonials
“The trainer was INCREDIBLE. He was extremely passionate, made sure to consistently ask if anybody needed help, logged on early to answer any questions, and was an overall great human being.”
- Salvatore, Hilton Grand Vacations
Thoroughly enjoyed the training. The trainer was fantastic! It is rare but always an awesome experience when a trainer is also an experienced practioner with a breadth of knowledge and hands on experience… even well beyond the subject matter at hand. I had the feeling that the trainer could have answered in detail any question we might have had related to not only BDM but Hadoop and other relevant big data topics as well. Time well spent and I hope to encounter Tomi again.
- Rick Kirk, CTO, Alliant Energy / Ernst & Young
“The content was great for an introduction to Tableau. I truly appreciate the way Michael was able to explain everything, and would recommend this class to anyone needing to get their feet wet with Tableau.”
- Shianne DeGeorge, Business Intelligence Group, Kaiser Permanente
























