Data Science is the study of the extraction of knowledge from data. Being a data scientist requires an integrated skill set spanning over applied mathematics & statistics, machine learning, and other branches of computer science along with a good understanding of the craft of problem formulation to engineer effective solutions.
This live online course will introduce students to this rapidly growing field and equip them with basic principles and tools as well as its general mindset. Students will learn concepts, techniques and tools they need to deal with various facets of data science practice, including data collection and integration, exploratory data analysis, predictive modelling, descriptive modelling, evaluation, and effective communication.
Today, you don’t need to have an engineering or computer science background to learn Data Science. What is even more interesting is that the demand for data scientists will only grow, as organizations are increasingly relying on data-driven insights.
Below is a list of careers that are possible with Data Science:
1. Data Scientist
2. Machine Learning Engineer
3. Machine Learning Scientist
4. Applications Architect
5. Enterprise Architect
6. Data Architect
7. Infrastructure Architect
8. Data Engineer
9. Business Intelligence (BI) Developer
10. Statistician
Innovative, Research Oriented, Quality Minded and result oriented Disruptive Data Scientist with 26+ years of experience executing data-driven analytical solutions to increase efficiency, accuracy and utility of internal data processing. Master in Experiential Learning methodology. Experienced at creating predictive data models, BeSpoke ML/DL algorithms for efficient AI and analyzing data mining algorithms to deliver insights and implement action-oriented solutions to complex business problems
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