S201: Data Analytics
Ages 13 – 18
Be ready for Big Data
Big data is now the buzzword. The advent of the Internet and availability of cheap data storage has caused an explosion of data. Governments and Corporations are constantly looking into transforming data into information, and finally into decisions. Having the skills to develop algorithms to process, analyse and manipulate data is now highly valued.
In this course, students will first be introduced to the fundamentals of database design. Students will learn about relational database models and apply design principles to create databases applicable to real life situations. Students will combine SQLite, a popular database engine module in Python, with other Python modules they have learnt to perform data processing and analytics. This skill has a multitude of applications, across areas such as Finance, Bioinformatics, Supply Chain and Marketing.
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Outline
Analytics and Statistics
Introduction to Statistics
What M&Ms can teach you about Statistics
Descriptive Statistics
Inference Statistics
Application of Statistics
Simple Linear Regression
Pandas
Introduction to Pandas
Pandas DataFrame
Reading JSON, CSV, Excel, HTML and XML Data
Matplotlib and Plotly
Graphing with Matplotlib and Plotly
Visualisation with Matplotlib
SciPy
Introduction to SciPy
Statistical testing with Scipy
Linear Regression
Playing with Real World Data
Data Dot Gov
Kaggle
News Sites and Wikipedia
Final Project
Create your own analytics project to analyse areas you really care about, be it sports, finance or games
Class Format
Weekly
$845 ( $912.60 w/GST)
5 Days Intensive
$845 ( $912.60 w/GST)
For Students
Ages 13 to 18
Completed S100P
or
Passed placement test
Course Structure
All materials and equipment provided
Maximum 1:10 Instructor-Student ratio
20 hours duration
Locations & Schedules
Bukit Timah
9 King Albert Park (KAP Mall) #02-21, 598332
Parkway Parade
80 Marine Parade Road #10-06, 449269
Coding Lab Online
Learn from the comfort of your home
[Live Online E-Learning]
Testimonials
Coding Lab Student Feature: Surya, 14, Raffles Institution
Surya Nayar, 14, is no ordinary student. At his young age, he can count Python and C++ programming skills under his belt. This savvy student wrote his own stock rating algorithm after attending a Masterclass on Data Analytics with us.
Coding Lab Student Feature: Sarah Go, 18, Scholarship Recipient (USA)
Meet Sarah, our talented young coder. She’s gotten an honourable mention at the National Olympiad in Informatics (NOI), volunteered with the community, and clinched a prestigious scholarship to study Computer Engineering in the USA.
Coding Lab Student Feature: Ian, 14, Hwa Chong Institution
Introducing Silver Plus, a facebook for the elderly created by our very own Ian, 14. The idea which was conceived and designed entirely by Ian, was to enable our elderly to engage with each other, make new friends, and even play games across their mobile phones.