This is a fast paced course for those individuals, who want to learn data science and apply the learning in their professional life quickly. The course assumes that one has very little or no knowledge of computer language programming and is passionate to dive into statistical methametics. The programming would be taught in the class for statistical model building. The course content can be modified to meet your professional requirements. The main objectives of this course are -
- Understand Big Data and how to translate them into intelligent data.
- Learn a technology such as R, Python or SAS for data science (only R is covered by default).
- Data cleaning, data validation and visualizations
- Determine the proper analytic methods for descriptive, prescriptive and predictive analysis.
- Determine model validation and optimization techniques
- Effect of social media and sentiment analysis and their usage.
- Understand how to search for the needle in the haystack.
- Understand the advantages of data visualization and smart reporting.
- Work on a novel capstone project similar to some of today's relevant real world examples.
- Each topic is accompanied by hands-on excersize.
- Apply the learning at your work to solve real business problems.
- Get full support from facualty even after course completion.
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