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Big Data, Data Mining, and Machine Learning

  • Tuition USD $1,650
  • Reviews star_rate star_rate star_rate star_rate star_half 944 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.

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

How do I enroll?

A comprehensive listing of ExitCertified courses can be found here. You can register directly for the required course/location when you select "register". If you have any questions or prefer to speak with an ExitCertified education consultant directly, please submit your query here. A representative will contact you shortly.

How do I pay for a class?

You can pay at the time of registration using credit card (Mastercard/Visa/American Express) cheque or PO.

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.

I was familiar with some knowledge on AWS Cloud, however the instructor Lopez explained stuff that made it easy to understand. He was very knowledgeable with the information he provided during class

I would highly recommend this instructor. But would appreciate the Actual Slide material to refresh. Also exam prep doc would be an advantage

Awesome training and trainers! Clear, straight to the point and extremely knowledgeable...

Very good training! The instructor is a specialist and the material is great!

Learnt new things on AWS DEVOPS side from Tutor Ryan. Happy that he was able to assist on our questions.

0 options available

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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