Analytics in Python
About this courseSkip About this course
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.
At a glance
- Institution: ColumbiaX
- Subject: Business & Management
- Level: Intermediate
We will review basic Python programming concepts in week 1 and 2 and no prior programming experience is necessary. But, if you have had some exposure to programming you will get more out of this class.
No specific math capability is required though it will be helpful if you are familiar with the basic concepts of algebra, set theory, and probability.
- Language: English
- Video Transcript: English
- Associated skills: Big Data, Python (Programming Language), Data Management, Data Acquisition
What you'll learnSkip 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
- 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