• 702065_N701 - Wednesday, Shift 1, Classroom F703
• 702065_N02 - Wednesday, Shift 2, Classroom F302
• 702065_N01 - Saturday, Shift 1, Room F308
• 706100_N01 - Saturday, Shift 2, Room B304

Taught by:
Jeff Maggioncalda, Coursera CEO, Coursera CEO

The Data Mining specialization is intended for data science professionals and domain experts who want to learn the fundamental concepts and core techniques for discovering patterns in large-scale data sets. This specialization consists of three courses: (1) Data Mining Pipeline, which introduces the key steps of data understanding, data preprocessing, data warehouse, data modeling and interpretation/evaluation; (2) Data Mining Methods, which covers core techniques for frequent pattern analysis, classification, clustering, and outlier detection; and (3) Data Mining Project, which offers guidance and hands-on experience of designing and implementing a real-world data mining project.

This is Course 2 of 6 in the Google IT Automation with Python Specialization.
By the end of this course, you’ll be able to manipulate files and processes on your computer’s operating system. You’ll also have learned about regular expressions -- a very powerful tool for processing text files -- and you’ll get practice using the Linux command line on a virtual machine. And, this might feel like a stretch right now, but you’ll also write a program that processes a bunch of errors in an actual log file and then generates a summary file. That’s a super useful skill for IT Specialists to know.

Learn how to create content for social media using graphic design principles for marketers and learn how to manage a social media presence. In addition you’ll set goals and success metrics for social media ads. 

Learn the process to create a new e-commerce store and drive traffic to the online business through advertising campaigns.

Apply the marketing funnel concept to stages of the customer journey, including engagement, conversion, and loyalty. Learn methods for search engine optimization so potential customers find your products or services.

User experience (UX) designers focus on the interaction that users have with products, like websites, apps, and physical objects. They make those everyday interactions useful, enjoyable, and accessible.

Statistics without Borders (SWB) worked with the African Institute of Professional Development (AIPD) to assemble a collection of learning videos covering a broad range of topics on statistics. These are freely available to anyone who would like to review or explore basic statistics, the statistical programming language R, econometrics, biostatistics, and monitoring and evaluation.

• GV: Đỗ Thế Hoàng
• Trường ĐH FPT TP.HCM