Enroll in this training and receive a one-month complimentary e-learning subscription with access to 40+ courses.
This course is provided by Big Data Trunk for Stanford Technology Training Program but a limited few seats available to the public.
Students of this class may have opportunity to be considered for Internship with Big Data Trunk.
Description:
Unlock the essentials of data analysis with our comprehensive course. Learn to craft actionable data analysis questions and acquire the right data to answer them. Dive into the critical aspects of data exploration, emphasizing the significance of clean, complete, and diverse data. Explore the effective application and evaluation of Machine Learning models. Through practical demonstrations using Pandas and Scikit-learn, you'll gain valuable insights into working on Data Science projects. This course not only equips you with the skills needed for data analysis but also highlights the crucial decision points that impact a project's success. Join us to master the art of data-driven decision-making and steer your projects towards success.
Learning Objectives:
After this course, you will be able to:
- Understand the relationship between Data Science and Machine Learning
- Become familiar with the Data Science process
- Identify effective data analysis questions that are actionable
- Identify effective data sources
- Understand the importance of clean, complete, and quantity of data
- Understand how Machine Learning is applied and evaluated within the Data Science process
- Become familiar with some of the tools used throughout the process
