The demand for data scientists and analysts has been growing exponentially over the last few years, especially with the explosion of data which has changed almost all industries around us including marketing, health care, entertainment, environmental protection, transportation and other basic services. Data science is a growing multidisciplinary field that can open the doors to several opportunities. Because of this, the ability to work with data is an essential skill. Upskilling and gearing yourself data science knowledge with the things you already know will add more value to your career.

In this 10-week, part-time course, you will learn the essential skills and tools in Data Science through the Python programming language. This hands-on, introductory course is intended for a wide array of learners: from those with zero programming background to those who have programming background but are looking to shift their careers. You will learn how to apply data wrangling, statistical, machine learning, and information visualization techniques through popular Python Toolkit such as Pandas, Matplotlib, and Scikit-Learn to gain insights regarding their data. In addition, you will learn the important applied concepts in data science such as Computational Thinking and Maching Learning.

By the end of this course, you'll become an expert in extracting, analyzing, and converting data and bring effective solutions in resolving real-world problems. Learners will be equipped with introductory data science skills that will enable them to effectively analyze data within their industry, design a data-driven methodology for the solution, and bring value from actionable insights.