- Platform
- edX
- Provider
- Columbia University
- Effort
- 8-10 hours/week
- Length
- 12 weeks
- Language
- English
- Credentials
- Paid Certificate Available
- Part of
- Course Link
Overview
Data is the lifeblood of an organization. Competency in programming is an essential skill for successfully extracting information and knowledge from data.
The goal of this course is to introduce learners to the basics of programming in Python and to give a working knowledge of how to use programs to deal with data.
In this course, we will first cover the basics of programming and then focus on using Python on the entire data management process from data acquisition to analysis of data big data and small data.
This is an intensive hands-on course that will equip and reward learners with proficiency in data management skills.
What you'll learn
Taught by
Hardeep Johar
Data is the lifeblood of an organization. Competency in programming is an essential skill for successfully extracting information and knowledge from data.
The goal of this course is to introduce learners to the basics of programming in Python and to give a working knowledge of how to use programs to deal with data.
In this course, we will first cover the basics of programming and then focus on using Python on the entire data management process from data acquisition to analysis of data big data and small data.
This is an intensive hands-on course that will equip and reward learners with proficiency in data management skills.
What you'll learn
- Become familiar with working with relational databases, using SQL based languages such as MySql, dealing with formatted data (XML, JSON, etc.)
- Use Python to work with and analyze data from databases as well as from the web
Syllabus
- Week 1: Python review
- Week 2: Python review
- Week 3: Data interchange formats: JSON and XML
- Week 4: Web scraping and web crawling
- Week 5: Database basics: Relational databases
- Week 6: SQL
- Week 7: Data analysis and visualization I
- Week 8: Data analysis and visualization II
- Week 9: Text mining
- Week 10: Analysis of networks
- Week 11: Machine learning: Part 1
- Week 12: Machine learning: Part 2
Taught by
Hardeep Johar