These four facets form four pillars for the data science
field. They are 1. Programing 2. Statistics 3. Machine Learning 4. Business
Knowledge.
The course is mainly focussed on Python for core data
science programming, it also includes R as necessary to enable professionals
working in R.
Statistics are covered as required for a Data Scientist, you
may find a detailed syllabus in syllabus tab.
Machine Learning is the main tool kit for Data Science in
predicting classification or regression.
This course courses all popular ML algorithms as detailed in
the syllabus tab.
This course allows candidates to obtain an in-depth
knowledge by laying a strong foundation and covering all the latest data
science topics.
The increasing demand curve for data science professionals
to manage the large set of data in various organizations providing millions of
job opportunities in global markets.
The knowledge gained through this course along with IABAC™ certificate surely helps you to become a data science professional
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