Data Science & Business Intelligence

Start from ZK2500
Data Science & Business Intelligence

Course Features



Course Details

  •  About this course

    Data mining is the process of analyzing hidden patterns of data according to different perspectives for categorization into useful information, which is collected and assembled in common areas, such as data warehouses, for efficient analysis, data mining algorithms, facilitating business decision making and other information requirements This course focuses on Mining of Big data using Machine learning which is a method of data analysis that automates analytical model building. By the end of the course you will acquire  hands on knowledge and practical applications of the following machine learning process:
  1. Electronic raw data aquisition
  2. Data Warehousing
  3. Data pre-processing ( Data Cleaning & Manipulation )
  4. Data Visualization
  5. Statistical Modeling & Machine Learning
  6. Reporting and visualization
  7. Building a data Product
Most industries working with large amounts of data have recognized the value of machine learning technology. By gleaning insights from this data – often in real time – organizations are able to work more efficiently or gain an advantage over competitors.  Therefore you will find applications of Machine learning in:
  • NGOs
  • Financial Services
  • Government
  • Health care
  • Marketing and Sales
  • Business intelligence
  • Transport

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