Why Learn Data Science?

Have you ever shopped online and found advertisements strangely related to what you’ve been searching for on facebook and other websites continuously for a week? Or say, you’re texting with your friend and the keyboard suggests to you the exact words that you were going to use in your sentence? How does YouTube show all your favourite videos on your homescreen?

In business, Data Science is successfully adding value to all the business models by using statistics and deep learning to make better decisions and improve hiring. It is also being used to crunch the previous data and predict possible situations and risk so that we can work on avoiding them.

Now imagine your routine without the above mentioned facilities? Soon data science plans to be at the core of the digital world.

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    JOB OPPORTUNITIES

    Dated Science was voted as the #1 Job of 2016 – Glassdoor

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    HIGH PAYING CAREERS

    Data Scientists earn an estimated mid-career salary of $104,000 annually

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    BIG DATA ANALYTICS

    Demand for Big Data jobs are expected to increase exponentially in the future

According to the Info‑communications Media Development Authority (IMDA), with advancement in technology, there has been a growing demand for talents in the tech and IT space.

At our current pace, our local talent supply could not handle the growing demand and Singapore is expected to be short of 30,000 information technology (ICT) professionals by 2020.

Take your first step into Data Science to advance your career at Hackwagon Academy with our November cohort now open.

JOB OPPORTUNITIES

Dated Science was voted
as the #1 Job of 2016
– Glassdoor

High Paying Careers

Data Scientists earn an estimated mid-career salary of $104,000 annually.

BIG DATA ANALYTICS

Demand for Big Data jobs are expected to increase up exponentially in the future

 

What Will you learn?

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    PROGRAMMING COMPETENCIES

    Learn how to apply predictive analytics on historical databases using Python and RDMS like MySQL

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    STATISTICAL MODELLING

    Build statistical regression models to generate useful information and provide actionable insights

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    DATA VISUALISATION

    Aggregate and visualise data using data libraries in Python to display information to audiences in a useful manner

 

Testimonials

I completed Data Science 101 at Hackwagon Academy in July. Course was great, team was very friendly and supportive. I think it was really useful to beginners in programming as instructor explained everything very detailed. There were some minor shortcomings, but overall environment and course quality were very good.
Waiting for advanced DS 🙂

– Nelya Shakirova

 

Course Schedule

Courses will be held once a week over 7 weeks. Each session would be 3 hours long.

 

Wed 7-10pm

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Sun 12pm-3pm

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DETAILED BOOTCAMP CURRICULUM

Find out what you will learn throughout the 7 weeks course.

Introduction to Data Science

– What is data science?
– What kind of problem can be solved using data
science?
– SMART Circle Line Rogue Train:

A real-world case
study solved using data science.
Python installation and PATH environment setup
Jupyter Notebook setup
Data Wrangling/Munging

– What is Data Wrangling?
– Acquiring data
– Common data formats
Different branches of analytics
– Visual analytics
– Predictive analytics
– Business intelligence

Introduction to Python I (2 hours)

– Write my first Python program: Hello World
– Simple arithmetic with Python
– Python data types
– Int, Float, String, Boolean
– Primitive vs Reference data types
– Memory state diagrams
– Conditionals in Python
– Booleans, equality
– If-else statements in Python
– Collections in Python

In-class Practise 3 (1 hour)

– Simple Python algorithm practise

Introduction to Python II

– Collections in Python
– List
– Dictionary
– Tuple
– Terminal/Command prompt inputs
– Writing simple programs with If-Else and collections

Introduction to Python III (2 hours)

– Loops in Python
– Using Python Functions
– Writing Python Functions
– Read and write files in Python

In-class Practise 4 (1 hour)

– Simple Python algorithm practise

Introduction to simple visual analytics

– Using Pandas
– Using Matplotlib
– Try 4 different types of plots for different
data use cases

Project Release:

Read from CSV file
then analyse the data,
scrape data from online
API too

Retrieving data from Web API

– Learn Python request library
– Playing with Hackwagon REST API

Project report and presentation
 

COURSE DETAILS

Check out the available dates. Lessons will be conducted weekly.

Starting Dates Class Timings Location Course Fees
Weds is Sold Out 7pm - 10pm 991D Alexandra Road $700
26th Nov (Sun) - 7th Jan 12pm - 3pm 991D Alexandra Road $700
Apply Now!
 

GET ANSWERS

Find out the answers to the questions you may have about our bootcamps.

Data scientist performs research and analysis on data and helps companies to improve business by predicting growth, trends and insights based on huge amounts of data.
Data Science was voted as the #1 Job of 2016 by Glassdoor and demand for Big Data jobs are expected to increase up exponentially in the future
Data Scientists earn an estimated mid-career salary of $104,000 annually.