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Data Science Course


Sat Nov 2 2019, 10:00pm–2:00am
Sat Nov 16 2019, 10:00pm–2:00am
Sat Nov 23 2019, 10:00pm–2:00am
Sun Dec 1 2019, 10:00pm–2:00am
Sat Dec 14 2019, 10:00pm–2:00am

Where: Simplilearn Singapore Pte Ltd, #14-302, The Plaza, 7500A Beach Rd, River, Singapore

Restrictions: All ages

Ticket Information:

  • General Admission: $699.00
  • Additional fees may apply

Listed by: ghseosimplilearn

Introduction to Data Science Course in Singapore.

Become an expert in data analytics using the R programming language in this data science certification training course in Singapore. You’ll master data exploration, data visualization, predictive analytics, and descriptive analytics techniques with the R language. With this data science course, you’ll get hands-on practice by implementing various real-life, industry-based projects in the domains of healthcare, retail, insurance, and many more.

Data Science Course Key Features:

- 40 hours of instructor-led training
- 24 hours of self-paced video
- 10 real-life industry projects in retail, insurance, finance, airlines, and other domains
- Dedicated mentoring session from our faculty of industry experts
- Lifetime access to self-paced learning

Who should take this online Data Science training course?
There is an increasing demand for skilled data scientists across all industries, making this data science certification course well-suited for participants at all levels of experience. We recommend this Data Science training particularly for the following professionals:

- IT professionals looking for a career switch into data science and analytics
- Software developers looking for a career switch into data science and analytics
- Professionals working in data and business analytics
- Graduates looking to build a career in analytics and data science
- Anyone with a genuine interest in the data science field
- Experienced professionals who would like to harness data science in their fields

Prerequisites: There are no prerequisites for this data science training course. If you are new in the field of data science, this is the best course to start with.