Fundamentals of Data Science and Machine Learning for Business Self Study Computer Based Training – CBT
This post contains affiliate links. As an Amazon Associate I earn from qualifying purchases Enhance your Career, Status and Income with the Fundamentals of Data Science and Machine Learning for Business course. Earn minimum £65K with your Data Science and Machine Learning Skills. Participate in the 4th Industrial Revolution: Data Science has been ushered in
This post contains affiliate links. As an Amazon Associate I earn from qualifying purchases
Enhance your Career, Status and Income with the Fundamentals of Data Science and Machine Learning for Business course. Earn minimum £65K with your Data Science and Machine Learning Skills.
Participate in the 4th Industrial Revolution: Data Science has been ushered in as one of the revolutionary technologies that can herald the advent of the fourth industrial revolution.
Designed for non-technical and technical users, the Fundamentals of Data Science and Machine Learning course provides step-by-step instructions on how to use a combination of data science and predictive analytics techniques to address your business challenges. You will perform a variety of basic to intermediate Data Science and Machine Learning tasks using open source tools and a technology-neutral approach for activities based on real-life work scenarios.
Course Objectives:
On successful Completion of the course you will be able to accomplish the following:
Describe key concepts of data science and machine learning Describe key concepts of machine learning Understand Open Source Machine learning tools including KNIME, R or Python Understand Open Source Machine learning Platforms Understand Commercial Machine learning tools including Oracle, IBM and Microsoft Azure Machine Learning Describe the application of machine learning techniques in business Describe the application of machine learning techniques in Retail Describe the application of machine learning techniques in Telecommunication Describe the application of machine learning techniques in Finance and Banking Prepare data for predictive modelling Visualize and explore data Develop Machine learning solutions using either KNIME, R or Python Create supervised and unsupervised machine learning models
Product Features
- Material retention with CBT’S are 45% better than with conventional training methods
- Your learning curve with CBT is 25%-55% less than conventional methods
- The cost of CBT training is over 65% less than Classroom training
- CBT’S are self pacing and Interactive
- CBT’S simulate the actual software being studied so there is no need to have the actual software installed
This post contains affiliate links. As an Amazon Associate I earn from qualifying purchases