Data has permeated every aspect of our modern organizations as a result of more data that has been generated over the last decades. If the future is to be predicted from the past, we can say with assurance of the trend that there will be increased data generation in the years to come. This makes it important to learn how we can store, manage and analyze the data that has been generated in our organizations for actionable insights as well as for decision making that will drive the desired growths.
The courses under this specialization are all related to Data Science, a multidisciplinary field that uses scientific tools and techniques to turn data into meaningful business insights. Some of the common disciplines under data science includes Data Analytics, Business Analytics and Machine Learning for which separate courses have been designed.
It is strongly recommended that a complete beginner takes the first course – Introduction to Data Science and Data Analytics – in order to get a grasp of the concept of data science and be in a position to decide which aspect he/she will like to specialize on.
You can click on any of the courses listed below for more details:
Introduction to Data Science and Data Analytics (Beginner)
Data Analysis with Excel (Beginner)
Python for Data Science and Data Analytics (Beginner to Intermediate)
Machine Learning Basic Concepts (Intermediate)
Machine Learning Algorithms (Intermediate)
Further Machine Learning Approach (Advanced)
Advanced Machine Learning (Advanced)
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