Data Scientist

Certified Data Scientist by Big Data Theory

Learn how to make inferences and predictions from data.

Python

Machine Learning

Artificial Intelligence

The Data Scientist career badge is one of the prestigious career badges awarded by Big Data Theory. In order to unlock this career badge you would need to have completed a sequence of data courses that's specially designed to transform you from a data beginner to a qualified data scientist. You'll learn to write and run real code in our classes, taught by experienced Data Veterans who have been in the data industry for years.

Number of courses required: 3
Difficulty level: Beginner

Your new skills

You’ll learn the skills below and much more in our carefully planned data science courses:

Python
SQL queries
Data analysis and visualisation
Data mining, web scraping, and APIs
Probability and statistics
Machine learning
Deep learning
Jupyter Notebooks
Git
Command line/bash
Python
SQL queries
Data analysis and visualisation
Data mining, web scraping, and APIs
Probability and statistics
Machine learning
Deep learning
Jupyter Notebooks
Git
Command line/bash

Learn Effectively

In this career badge, you'll start from the basics, an introduction to data analytics. Then you will dig into Python fundamentals, data analysis and visualisation, query databases with SQL, basic statistics, and learn complex machine learning. The courses in Big Data Theory are designed, by our experienced academic team, in a thoughtful sequence with each course building on the previous one.

The courses are designed so that there are no prerequisites and no prior experience required. You will learn everything you need to be a proficient data scientist!

Become a Data Scientist

Good Prospects

Data Science was chosen as the #1 career in 2020 as the fastest-paced job

High Salary

Mid-career data scientists are projected to earn up to $104,000 a year

High Demand

Demand for data experts are increasing exponentially every year

Badge requirements

Below are the courses you have to complete and pass in order to unlock the badge

DAT101: Data Analytics Fundamentals

Kickstart your career in the data industry with our proven introductory data analytics curriculum and passionate instructors.

DAT102: Advanced Data Analytics

Over the course of 8 weeks, our advanced data analytics curriculum will prepare you to analyse large datasets and become a data analyst.

DSC201: Data Science Fundamentals

Our extensive data science course that prepares students to become proficient data scientists and enter the industry’s most coveted sectors.

Frequently asked questions

Where are the courses conducted?

We guarantee that our courses are conducted at clean and conducive classrooms to ensure that you will receive the best learning experience. Classes are located at Singapore Shopping Centre and are equipped with adequate charging points for your personal laptop.

What do I need to bring to class?

Your own personal laptop, water bottle and a pair of sweater in case the classroom gets cold.

How are courses conducted?

You are required to attend an in-person class that lasts 3 hours based on the schedule of your registered class. During this period, our Instructor will teach and run through concepts of the course with you, and you will be able to clear your doubts with them. There will be a total of 21 hours of offline lessons.

Note: Due to COVID-19 measures, all classes will be held online unless otherwise specified.

What are the requirements to receive the certificate of completion?

You are required to complete 80% of your assignments and score above 50% for your capstone project. Fret not, these requirements are not difficult as long as you have put in the effort.

What if I am not able to attend the in-person class?

To make sure that you understand the course content fully, we strongly encourage you to attend all lessons. However, should you have a valid reason to miss a class (e.g. MC), we will provide you with recorded videos classes to make sure you that you will be able to catch up for the next class.