Join our 5-Day Coding Challenge and Build Your First Ecommerce Website! Learn More Here.
1 Jun 2018
Data Scientists are in demand. Many companies are looking for data scientists, data analysts, and the like to add to their team, to prepare for a digital transformation of the corporation.
So what does a data scientist do and what are the vital skills needed to become one?
It’s all about infrastructure. Before any analytical work starts, it is important to have a sound data architecture, so that the data input into the database is safe and sound. At this stage, data scientists draw out blueprints and build the data infrastructure accordingly. Once the foundation is set, the infrastructure goes through the ETL (Extract - Transform - Load) process, where data scientists start to extract, clean and input data, repeatedly validating the data along the way. This process is important to the project’s success, for it ensures all data are stored correctly based on the blueprint.
Tools: SQL, Spark, Python, Oracle, Hadoop
After the foundation is set, it is down to the Data Analysts to work their magic on the data set, i.e. to find insights from the data. With the database set, data analysts can conduct exploratory data analysis to discover trends, pattern and correlation in the dataset. Data analysts will then conduct data visualizations that could be transformed into primary business intelligence dashboards and to prepare for data modeling in further stages.
Tools: Power BI, Tableau, Python, R
Once the dataset is properly cleaned up, tested and set, we can proceed with data modeling, where the data is used to create prediction models, for companies to visualize business forecast, sales projection, market prospects and so on. This stage also transforms data into more practical usages, including Artificial Intelligence and Machine Learning.
Tools: Python, Keras, TensorFlow, Scala, scikit learn
Now you know more about the job - How can we help?
It all comes down to the question of how many of these skills you already possess, but don't worry-- they can all be learned. At Xccelerate, we provide part-time courses that are good for equipping you with additional skills on top of what you have, or even helping you learn from scratch. You can learn basic Data Science. If you deem yourself having low or zero knowledge on any of the above, full-time Data Science & Machine Learning Bootcamp would be something you may want to consider, where we bring students from zero to job-ready Data Scientists.
If you are at a choice point in your career and need someone to help you navigate professional challenges. You can make an appointment to our complimentary 1-on-1 Career Consultation and receive personalised career advice.
Full-Stack Web Development Immersive
Immersive Data Science & Machine Learning
Full-Stack UX Design Immersive
Web Development for Absolute Beginners
Data Science & Machine Learning
Digital Marketing & Growth Hacking
Introduction to FinTech
Introduction to Python
User Experience Design (Fundamentals)
User Interface Design
Introduction to Product Management
Hire Xccelerate Top Talent
Teach With Us
School Ambassador Program
Future Education Foundation
COVID-19 Economic Recovery Education Fund
Women in Tech Scholarship
1-on-1 Career Consultation
Hong Kong's Largest Career Switch Series 2022
3/F, Citicorp Centre, 18 Whitfield Rd, Tin Hau, Fortress Hill
10 Ubi Crescent, #05-42 Ubi Techpark, Singapore 408564