Data Science and Introduction to ML

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