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Big Data, Data Mining, and Machine Learning

  • Tuition USD $1,800 GSA  $1,496.22
  • Reviews star_rate star_rate star_rate star_rate star_half 3223 Ratings
  • Course Code BDDM42
  • Duration 2 days
  • Available Formats Classroom
This course introduces the concepts of analytical computing and various data mining concepts, including predictive modeling, deep learning, and open source integration. The course introduces a wide array of topics, including the key elements of modern computing environments, an introduction to data mining algorithms, segmentation, data mining methodology, recommendation engines, text mining, and more. Throughout the course, concepts are introduced, explained, and demonstrated using approachable real-world examples. The instructor will share his extensive experience from consulting with clients on their analytic efforts as well as from his own projects throughout his career.

This course is not hands-on training for SAS Enterprise Miner software, although SAS Enterprise Miner is used by the instructor to illustrate specific modeling techniques and by students for their classroom exercises.

Skills Gained

  • use a data mining methodology
  • apply modern cutting-edge algorithms to data
  • implement best practices in the development and maintaining of analytical models
  • explore the opportunities to create value through analytics
  • assess different machine-learning models
  • explain in simple terms model data mining and machine-learning methods
  • incorporate unstructured data into your business models and decisions
  • build segments for business applications.

Who Can Benefit

  • Business analysts, statisticians, data scientists, their managers, and anyone who wants to understand what analytics is and how analytics can benefit their business

Prerequisites

  • No previous courses are required. It is recommended that you have a basic working knowledge of analytics and/or statistics. Familiarity with the SAS language is a plus.

Course Details

The Computing Environment

  • hardware
  • storage (disk)
  • central processing unit
  • memory
  • network
  • distributed systems: database computing and file system computing
  • virtualization

Analytical Tools

  • exercise: inventory of tools

Predictive Modeling

  • a methodology for building models
  • sEMMA
  • model types: binary classification, multilevel classification, and interval prediction
  • assessment of predictive models
  • common predictive modeling techniques
  • RFM
  • contrast predictive modeling from segmentation

Overview of Segmentation Ideas and Techniques

  • segmentation
  • cluster analysis
  • distance measures (metrics)
  • evaluating clustering
  • number of clusters
  • K-means algorithm
  • hierarchical clustering
  • profiling clusters

Common Predictive Modeling Techniques

  • regression
  • generalized linear models
  • neural networks
  • decision and regression trees

Special Applications

  • incremental response modeling: building the response model and measuring the incremental response
  • time series data mining
  • recommendation systems
  • text analytics: information retrieval and content categorization
  • text mining

When does class start/end?

Classes begin promptly at 9:00 am, and typically end at 5:00 pm.

Does the course schedule include a Lunchbreak?

Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.

How can someone reach me during class?

If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals, and private on sites. View our group training page for more information.

Interesting real world examples and scenarios covered in the training, brought some new perspectives to light.

The material is (slides and eBook) clear with the instructors talking points and drawing examples. All in all this is a good first step into AWS.

Very Good Certification and good level of expertise trainer. I am very happy

The labs and course material gave me valuable insights into cloud security architecture

The course was extremely well presented and the content is very logical and easy to understand.

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There are currently no scheduled dates for this course. If you are interested in this course, request a course date with the links above. We can also contact you when the course is scheduled in your area.

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