Whether you are working for a financial firm, government, hospitals, e-commerce, consumer brands, or other industries; technical and predictive analytics professionals need to leverage algorithms, statistics, and AI concepts to solve specific business problems. This workshop will use real-world data to solve real-world problems using data analytics, machine -learning, neural networks, natural language processing, and business intelligence methods.
$3,500
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Completion Time
28 hours
Access Time
90 Days
Outcome
Certificate Program
Language
English
Training Level
Advanced
Delivery Information:
Online
Synchronous
Scheduled Sessions
Description
Learning Outcomes
At the conclusion of this workshop, participants will be able to:
- Use Business Intelligence tools in practical applications
- Use the Anaconda platform using Python-based libraries
- Understand & leverage AI to solve business problems
Additional Information
Developed by Erhan Guven, PhD, a data scientist at the JHU Applied Physics lab and Loyola University Data Science Lecturer.
Requirements
Technology Requirements
Hardware Requirements: This course can be taken on either a PC, Mac, or Chromebook.
Software Requirements: Software must be installed and fully operational before the course begins.
- PC: Windows 8 or later.
- Mac: macOS 10.6 or later.
- Browser: The latest version of Google Chrome or Mozilla Firefox are preferred. Microsoft Edge and Safari are also compatible. Cookies and JavaScript must be enabled
- The latest Adobe Reader/Acrobat Reader ( free download available at https://get.adobe.com/reader/ )
- Any modern Office suite: Microsoft Office, Apple iWork, OpenOffice, or LibreOffice
- Reliable internet connection. Broadband cable or highspeed DSL is recommended for optimal experience.
- E-mail account (to be able to register and to receive e-mail from the course system regarding registration, course status, etc.)
Prerequisites
The series was designed for technical and/or seasoned managers who are familiar with math, linear algebra, statistics, data structures, and Python programming. Participants should enter the workshop familiar with terms such as optimization, algorithm, statistical mean, business intelligence and text processing. You will not be asked to write math equations but should have an idea how these techniques work.
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