Data Analytics Specialization is a course that is light in theory and perfect for beginners/non-programmers who are looking to learn data analysis. The course has an easier learning curve and takes a more accessible approach by getting participants to understand the “how” part first, rather than a detailed breakdown of the “why”. It is modeled after real-world Analytics apps, with elements of storing and querying from SQL, preprocessing with pandas, reshaping data and producing Visualization. An example of such application that uses all of these elements we teach is pedagogyapp.com
In this program, students will learn how to use Python programming language for Data Analysis where students are prompted to write short snippets of code in frequent intervals, before being offered an explanation on the underlying theoretical frameworks. Instead of mastering the syntactic design of the Python programming language, then moving into data structures, and then the pandas library, and then the mathematical details in an imputation algorithm, and its code implementation; we would do the opposite: Implement the imputation, then a succinct explanation of why it works and applicational considerations (what to look out for, what are assumptions it made, when not to use it, etc).
Schedule
- Week 1
Python for Data Analysts - Week 2
Exploratory Data Analysis - Week 3
Data Wrangling & Visualization - Week 4
SQL Query & Capstone Project
Course Producer
Samuel Chan
Machine learning practitioner in the field of marketing automation, fraud detection, finance and e-commerce. Samuel is Indonesia’s top-ranked Stack Overflow user in R (top 5% worldwide), a certified professional (certificates from Microsoft, MongoDB, Stanford University, John Hopkins University), and an experienced consultant that has worked with several public-trading companies from his time staying in China, Japan and Singapore.
Between 2017 and 2018, Samuel has trained and consulted with more than 20 companies around Indonesia and a regular guest speaker/trainer in a number of universities in Singapore and Indonesia. He is also among the first recipients of Microsoft Professional Program Certificate in Data Science in Southeast Asia, having demonstrated proficiency in R, Python, Microsoft Azure, SQL / T-SQL, PowerBI and a list of other technologies.
