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[av_heading heading=’SkillsFuture Data Science Training’ tag=’h1′ link_apply=” link=’manually,http://’ link_target=” style=’blockquote modern-quote modern-centered’ size=’58’ subheading_active=’subheading_above’ subheading_size=’25’ margin=” padding=’10’ color=’custom-color-heading’ custom_font=’#ffffff’ custom_class=” admin_preview_bg=” av-desktop-hide=” av-medium-hide=” av-small-hide=” av-mini-hide=” av-medium-font-size-title=” av-small-font-size-title=” av-mini-font-size-title=” av-medium-font-size=” av-small-font-size=” av-mini-font-size=” av_uid=’av-110ry48′]
Accredited Singapore Bootcamp
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TAKE YOUR TRAINING FURTHER
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Anyone can learn data science, now in just one week.
Data Science Dojo’s bootcamp is in the process of becoming accredited under Singapore’s SkillsFuture Series. Citizens of Singapore may qualify to have their bootcamp supported by this government skills training program.
This only applies to Singapore bootcamp packages at the full price of SGD $4499.99.
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WHY IS THIS SERVICE OFFERED?
“Skillsfuture is a national movement to provide Singaporeans with the opportunities to develop their fullest potential throughout life, regardless of their starting points. Through this movement, the skills, passion and contributions of every individual will drive Singapore’s next phase of development towards an advanced economy and inclusive society.”
-SkillsFutureSG
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WHY SHOULD I TRAIN WITH DATA SCIENCE DOJO?
Data Science Dojo is a paradigm shift in data science bootcamps. We offer short-term, in-person, hands-on data science training that will get you started with practical data science in just one week. We partner with programs like SkillsFuture because we believe in bringing data science to the entire world.
4,000+ attendees from our past bootcamps speak highly of us.
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CITREP+ is a programme under the TechSkills Accelerator (TeSA) – an initiative of SkillsFuture, driven by Infocomm Media Development Authority (IMDA) and in partnership with strategic partners; Workforce Singapore (WSG) and SkillsFuture Singapore (SSG), as well as collaboration with industry partners and hiring employers. TeSA offers various programmes to support professionals to upgrade and acquire new infocomm technology (ICT) skills and domain knowledge that are in demand, and to stay competitive and meet the challenges of a fast-moving digital landscape.
SUPPORTED BY:
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PROGRAM ELEMENTS
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FUNDAMENTALS
- Data-related issues are often overlooked – even by practitioners. We emphasize on fundamentals of data exploration, visualization, feature engineering, quality, acquisition and sampling to give you a solid foundation to predictive analytics.
MACHINE LEARNING
- The curriculum covers a wide array of classification, regression, recommendation and unsupervised learning techniques. We emphasize on both of solid understanding of algorithms and their correct usage.
EVALUATION AND PARAMETER TUNING
- Correct choice of metrics and parameter tuning are essential to building robust predictive models. A combination of lecture, discussion and hands-on labs will ensure that you have the ability to choose the right metrics for your model and you can tune your machine learning model to make it more generalizable.
BIG DATA AND STREAMING ANALYTICS
- Even data scientists need some data engineering skills. You will Hadoop cluster in the cloud and run Hive queries. You will also learn to build message queues and process data in real-time. At the end you will build an Internet of Things application.
& MORE
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- R
- Python
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- AWS
- Azure
- GCP
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- Machine Learning
- Data Mining, Text Analytics
- Predictive Models
- Data Visualization
- Data Engineering
- Regression
- Web Scraping
- & More!
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Bootcamp seats available
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SUPPORTED BY:
Certified Business Analytics Infocomm Professional
Administered by the Infocomm Media Development Authority (IMDA), the CITREP+ funding support is eligible for Singapore Citizens and Permanent Residents. Valid for courses and examinations commencing from 1 April 2019. Terms and conditions apply. Please visit www.imtalent.sg/citrep for full details.
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Data Science for Everyone
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