The purpose of this course is to share the methods, models and practices that can be applied within data science, to ensure that the data used in problem-solving is relevant and properly manipulated to address business and real-world challenges. You will learn how to identify a problem, collect and analyze data, build a model, and understand the feedback after model deployment. Advancing your ability to manage, decipher and analyze new and big data is vital to working in data science. By the end of this course, you will have a better understanding of the various stages and requirements of the data science method and be able to apply it to your own work.
Course Objectives:
- The major steps involved in tackling a data science problem
- Why data scientists need a methodology and an approach
- What it means to understand data, and prepare or clean data
- How to practice data science, including forming a concrete business question or research
- Through completing a peer-reviewed assignment, you will demonstrate your understanding of the data science methodology by applying it to a problem that you define.
Recommended Background
- Recommended for individuals heading towards a career in data science / currently in a business data analyst/scientist role.
Course ID
ED041
Skill Focus
Intermediate
Instructor(s)
edX
Employee Type
New Applicants, Leadership, Change leaders
Method of Delivery
Online
Estimated Effort
50 hrs
Cost
Contact for Pricing
Certification is paid for $ 39.00 ; Full financial aid available for certification
edX