Fundamentals of Big Data Training in Singapore

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 3 Days
  • Level: Fundamentals
  • Price: From €4,517+VAT
We can host this training at your preferred location. Contact us!

An introduction to Data Science and the mathematical models underpinning Big Data Technologies, including a deep introduction to working with a range of big data tools.

This 3-day course is designed for people evaluating what NoSQL technologies and solutions they should start using in their organisation. It is the first step in a professional Data Science journey.

On this course you're going to learn about different ways of modelling data. You are going to learn the difference between SQL and NoSQL solutions. You're going to understand the most common NoSQL solutions, including Hadoop, and how you can develop, code and programme using them.

Target Audience

For existing python developers and data analysts looking to up-skill into big data.

  • Prior experience with Python is required
  • Experience working with data

At the end of this course attendees will know:

  • The Fundamentals of Data Science
  • The different data models
  • What is a NoSQL database
  • The different types of NoSQL databases
  • What is Hadoop
  • What is Spark

At the end of this course attendees will be able to:

  • Speak the language of Data Scientist
  • Use Python's native data bases
  • Query NoSQL databases using Python APIs
  • Perform big data analysis using Hadoop and Spark

  • Introduction to Data Science
    • Roles, Skills, Methods
    • Asking and Answering Insight Questions
    • Science in Business
  • Python for Data Science
  • Data Analytics & Statistical Inference
  • Big Data with Neo4j
  • Big Data with Hadoop
  • Big Data with Spark
  • Big Data with Mongo
  • Analytics Case Study



Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our Singapore facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

22 January 2025 (3 Days)
Singapore, Woodlands, Marine Parade
Classroom / Virtual Classroom
11 February 2025 (3 Days)
Singapore, Woodlands, Marine Parade
Classroom / Virtual Classroom
16 February 2025 (3 Days)
Singapore, Woodlands, Marine Parade
Classroom / Virtual Classroom
22 January 2025 (3 Days)
Singapore, Woodlands, Marine Parade
Classroom / Virtual Classroom
24 February 2025 (3 Days)
Singapore, Woodlands, Marine Parade
Classroom / Virtual Classroom
11 February 2025 (3 Days)
Singapore, Woodlands, Marine Parade
Classroom / Virtual Classroom
16 February 2025 (3 Days)
Singapore, Woodlands, Marine Parade
Classroom / Virtual Classroom
24 February 2025 (3 Days)
Singapore, Woodlands, Marine Parade
Classroom / Virtual Classroom

Related Trainings

Fundamentals of Big Data Training Course in Singapore

Singapore, which is known officially as the Republic of Singapore, is a sovereign island city-state in maritime Southeast Asia and it consists of Singapore island and 60 islets. The capital city of Singapore is Singapore and the population of the island city-state is approximately 5,709,000. The official languages of Singapore are English, Chinese (Mandarin), Malay and Tamil.

Singapore is a year-round destination, but the best time to visit Singapore is from December to June. Between February to April, Singapore has the least amount of rain and the most sunshine, since it's the dry season. Singapore offers more than just luxury hotels and high-end shopping malls; there are many family-friendly attractions and historic places. Marina Bay Sands, Gardens by the Bay, Botanic Gardens and Singapore Flyer are the most popular tourist attractions.

Take advantage of our diverse IT course offerings, spanning programming, software development, business skills, data science, cybersecurity, cloud computing and virtualization. Our knowledgeable instructors will provide you with practical training and industry insights, delivered directly to your chosen venue in Singapore.
By using this website you agree to let us use cookies. For further information about our use of cookies, check out our Cookie Policy.