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Data Science Training in Singapore

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Extensive Program with 13 Courses View all
250+ Hours of Interactive Learning
6+ Projects and 50+ Assignments
The capstone project will provide you with a business case. You will need to solve this by applying all the skills you’ve learned in the courses of the master’s program.
Data Science Training in Singapore offers the best course to boost your career. It includes training in Statistics, Data Science, Python, Apache Spark & Scala, Tensorflow, and Tableau. Our Data Science Training in Singapore makes you proficient in tools and systems used by Data Science Professionals. The Course curriculum is designed by extensive research on 5000+ job descriptions across the globe to provide you with in-depth theoretical and practical knowledge.
As per Indeed.com, the average salary for a Data Scientist is $139,163 per year in the United States.

You Will Learn

Python, Statistics, Data Preparation, Data Analysis, Querying Data, Machine Learning, Clustering, Text Processing, Collaborative Filtering, Image Processing, Computer Vision, Spark MLlib, Data Visualization and many more skills.

View Curriculum

Data Science Training in Singapore Reviews

Our Masters Program Alumni work for amazing companies

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My career got a boost after learning Data Science from Edureka.

Edureka's Data science Masters program provided me with a very good mixture of theoretical and practical training. After completion of the course, I got to work on many POC'S and projects that led to a decent pay hike too. Edureka's training was very informative and practical and the assignments very useful. I can safely say that signing up for Edureka's Data Science training has been a career-changing decision.

I gained confidence to make a career leap to Data Science after this course

I had a wonderful learning experience with Edureka. Not only did I get exposed to Data Science, but I was also able to learn related technologies that helped me in my career. The course also gave me an edge over other candidates when I was looking for a job change and helped me ace my interviews. I am now planning to shift my career to Data Science and Edureka's course has given me the knowledge and confidence to make this career leap.

Edureka is my go-to resource for learning hot technologies such as Data Science and Big Data

Edureka's courses in Big Data and Data Science have helped me excel in my career as a Big Data Developer. I have been able to build expertise in Hadoop and Big Data which has helped me stay up to date with current market trends. This has in turn given me confidence to weather all changes in the industry and build a foolproof skill base.

I have been able to build an arsenal of skills in Data Analytics after completing the course at Edureka

Edureka's Data Analytics with R course has helped me build my career in trending technology. I have benefited a lot from this course and gained practical knowledge of the technology. I am now equipped to shift my career from Network Engineer to Big Data Engineer, thanks to Edureka.

Edureka's Data Analytics with R course helped me take a big step towards my dream career path.

I took up the Data Analytics with R courses at Edureka to explore better career opportunities in Big Data. The course has lived up to its promise and helped me progress from a novice learner to a programmer with a good handle over data analytics. I will be making a career shift in the future and I am confident about achieving my dream career.

Data Science Training in Singapore Syllabus

Python Statistics for Data Science Course

SELF PACED

The Python Statistics for Data Science course is designed to provide learners with a comprehensive understanding of how to perform statistical analysis and make data-driven decisions. Through a series of interactive lessons and hands-on exercises, you will learn how to conduct hypothesis testing, perform regression analysis, and many more. This course is ideal for anyone looking to enhance their data science skills and gain a deeper understanding of statistics. This course will provide you with the knowledge you need to succeed in the rapidly growing field of data science.

  • WEEK 3-4
  • 6 Modules
  • 12 Hours
  • 5 Skills
Watch Course Recording
Python Statistics for Data Science Course
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Data Science with Python Certification Course

LIVE CLASS

Edureka's Data Science with Python Certification Course is accredited by NASSCOM. It will help you master important Python programming concepts such as data operations, file operations, object-oriented programming, and various Python libraries such as Pandas, Numpy, and Matplotlib essential for Data Science. This course is well-suited for professionals and beginners. This training will introduce you to different types of Machine Learning, Recommendation Systems, and other relevant concepts to kickstart your Data Science career.

  • WEEK 6-7
  • 16 Modules
  • 36 Hours
  • 7 Skills
Watch Course Recording
Data Science with Python Certification Course
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PySpark Certification Training Course

LIVE CLASS

Edureka's PySpark certification training is curated by top industry experts to help you master the skills required to become a successful PySpark developer. This certification course covers Apache Spark, Machine Learning, Spark RDD, Spark SQL, Spark MLlib, Spark Streaming, HDFS, Flume, Spark GraphX, and Kafka for building data-intensive applications.Our online training is instructor-led and enables you to master key PySpark hands-on demonstrations.

  • WEEK 6-7
  • 12 Modules
  • 36 Hours
  • 6 Skills
Watch Course Recording
PySpark Certification Training Course
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Artificial Intelligence Certification Course

LIVE CLASS

Edureka's advanced AI training course is designed by industry experts to help you prepare AI Engineer, Data Scientist, NLP Engineer, etc. The objective of this Artificial Intelligence training course is to help learners improve their Computer Vision, Text Processing skills, etc. AI certification course will help you understand various concepts like OS Module, Setting the NLTK Environment, POS Tagging, etc.

  • WEEK 8-9
  • 18 Modules
  • 42 Hours
  • 7 Skills
Watch Course Recording
Artificial Intelligence Certification Course
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Tableau Certification Training Course

LIVE CLASS

Tableau certification training covers in-depth knowledge of Tableau Prep Builder, Tableau Desktop, Charts, LOD expressions, Tableau Online, etc. This Tableau training will help you master the Business Intelligence tool, Data Visualization, and reporting.

  • WEEK 6-7
  • 11 Modules
  • 36 Hours
  • 7 Skills
Watch Course Recording
Tableau Certification Training Course
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Free Elective Courses along with learning path

VIEW FREE COURSES
Self Paced

SQL Essentials Training

VIEW CURRICULUM
Self Paced

R Programming Certification Training

VIEW CURRICULUM
Self Paced

R Statistics for Data Science Course

VIEW CURRICULUM
Self Paced

Data Science with R Programming Certification Training Course

VIEW CURRICULUM
Self Paced

Python Programming Certification Course

VIEW CURRICULUM
Self Paced

Scala Essentials

VIEW CURRICULUM
Self Paced

MongoDB® Training And Certification

VIEW CURRICULUM
Self Paced

Data Warehousing

VIEW CURRICULUM

Data Science Training Fee in Singapore

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2,039 4,140
Your total savings: 2,101
No Cost EMI Available, Starting from 227/mo.
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To make this a No Cost EMI offer
The interest amount will be discounted from the price of your order. You will be charged for the item price minus the discounted interest.
See Course Bundle
  • Python Statistics for Data Science Course
    169
  • Data Science with Python Certification Course
    819
  • PySpark Certification Training Course
    619
  • Artificial Intelligence Certification Course
    679
  • Tableau Certification Training Course
    679
+8 Free Elective Courses 1,175

Financing Options

Financing options available without any credit/debit card. The interest amount will be discounted from the price of the course and will be borne by Edureka. You will be charged the course price minus the interest.

Click on View More to avail. Conditions Apply.

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Capstone Project

Data Science Master Program Capstone Project

Build a Machine Learning Model to predict whether an owner will initiate an auto insurance
claim in the next year. For this to be effective, the past data of all owners and other claims need
to be utilized to make the most probable prediction.

Data Science Certification in Singapore

Edureka’s Certificate Holders work at companies like :

wipro icon honeywell icon cisco icon vmware icon dell icon
certificate
John Doe
Data Scientist
Python Statistics for Data Science Course Data Science with Python Certification Course PySpark Certification Training Course Artificial Intelligence Certification Course Tableau Certification Training Course Data Science Master Program Capstone Project
XYZ1234 31st Jul 2024
The Certificate ID can be verified at www.edureka.co/verify
to check the authenticity of this certificate

Data Science Training in Singapore Features

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As per your convenience

Weekday or weekend; morning or evening. Multiple options for everyone.

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Never miss a class

You can always switch to another batch, depending upon your availability.

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24x7 Support

Resolved All Your Doubts Instantly, get One-On-One Learning Assistance Round The Clock.

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Lifetime Access

You'll have the keys to all our presentations, quizzes, installation guides. All for a lifetime!

Job Outlook

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11.5 Million Career Opportunities estimated for experienced Data Scientist by 2026 in the IT industry across the globe.

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Salary Trend The average salary for a Data Scientists $1,39,163 per year.

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28 % Annual Growth in job opportunities for data scientists, data developers and data engineers, across the globe.

    Top Industries
  • Information Technology
  • Finance
  • Healthcare
  • E-commerce
  • Retail
  • Manufacturing
  • Energy and Utilities
  • Marketing and Advertising
  • Transportation
  • BFSI
    Job Titles include
  • Data Scientist
  • Data Analyst
  • Principal Scientist
  • Machine Learning Engineer
  • AI Engineer

Data Science Training in Singapore FAQs

Data Science Training Course FAQ's

Data science is a field that involves using scientific and computational methods to extract insights and knowledge from data. It involves combining elements of statistics, mathematics, and computer science to analyze and interpret data.
Data science is used to extract valuable insights and predictions from large datasets, which can be used to drive decision-making in a variety of fields such as healthcare, finance, marketing, and social media. It involves working with large and complex datasets, cleaning and transforming data, using statistical methods and machine learning algorithms to create models, and then using these models to derive insights and predictions.
The insights derived from data science can help businesses and organizations optimize their operations, increase efficiency, and make informed decisions. In healthcare, data science can be used to predict disease outbreaks, analyze patient data, and develop personalized treatments. In finance, it can be used to detect fraudulent activities, predict market trends, and optimize investment portfolios. In marketing, data science can be used to personalize user experiences and optimize marketing campaigns.
Overall, data science is a powerful tool that can be used to extract valuable insights from data, and its applications are becoming increasingly widespread as the amount of data available continues to grow.

A data scientist is a professional who uses a combination of skills in statistics, programming, and machine learning to analyze and interpret complex data sets. They work on identifying patterns, building predictive models, and deriving insights that can inform business decisions.
Data scientists are typically responsible for collecting, cleaning, and organizing large data sets from various sources, and then analyzing them using statistical and machine learning techniques. They may also be responsible for building data visualization tools and dashboards to help stakeholders understand and interpret the data.
Data scientists are in high demand across many industries, including finance, healthcare, retail, and technology. They typically have advanced knowledge in statistics, computer science, or a related field, as well as experience with programming languages like Python or R, and knowledge of machine learning algorithms and techniques.

Data Science Training Masters Program is a structured learning path recommended by leading industry experts and ensures that you transform into a proficient Data Scientist. Being a full fledged Data Scientist requires you to master multiple technologies and this program aims at providing you an in-depth knowledge of the entire Data Science practices. Individual courses at Edureka focus on specialization in one or two specific skills, however, if you intend to become a master in Data Science then this is your go to path to follow.

There are several reasons why someone may choose to become a data scientist:

  • High demand: Data scientists are in high demand across many industries, which means there are plenty of job opportunities available for people with the right skills and experience.
  • Competitive salary:Data scientists are generally well-compensated for their skills and expertise, with salaries that are often above average for other professions.
  • Interesting and challenging work: Data science involves working with complex data sets to derive insights and solve real-world problems. This can be both intellectually challenging and rewarding.
  • Opportunity for growth and advancement: Data science is a rapidly evolving field, with new technologies and techniques emerging all the time. This means there are plenty of opportunities for growth and advancement within the field.
  • Impactful work: Data scientists have the opportunity to make a meaningful impact by using data to solve important business problems, improve products and services, and inform strategic decisions. This can be incredibly rewarding and fulfilling work.

Data Science Training in Singapore has been curated after thorough research and recommendations from industry experts. It will help you differentiate yourself with multi-platform fluency, and have real-world experience with the most important tools and platforms. Edureka will be by your side throughout the learning journey - We’re Ridiculously Committed.

Our commitment to equip you with a 360-degree understanding of Data Science means we cover a broad array of topics to ensure you become a proficient data scientist. Topics covered but not limited to will be: Python, Statistics, Data Preparation, Data Analysis, Querying Data, Machine Learning, Clustering, Text Processing, Collaborative Filtering, Image Processing, Computer Vision, Spark MLlib, Data Visualization and many more.

There are no prerequisites for enrollment to this Masters Program. Whether you are an experienced professional working in the IT industry, or an aspirant planning to enter the world of Data Science, this masters program is designed and developed to accommodate various professional backgrounds.

The roles and responsibilities of data scientist may vary depending on the organization, but some common tasks and responsibilities include:

  • Collecting, cleaning, and analyzing data: Data scientists are responsible for collecting data from various sources, cleaning and preparing it for analysis, and using statistical techniques to identify trends and patterns.
  • Developing predictive models: Data scientists use machine learning algorithms to build predictive models that can be used to forecast future trends, identify anomalies, and make data-driven decisions
  • Communicating insights: Data scientists must be able to communicate complex findings to non-technical stakeholders in a clear and concise manner. This may involve creating visualizations, presentations, or reports.
  • Collaborating with other teams: Data scientists often work closely with other teams, such as product development, marketing, or finance, to identify opportunities for data-driven insights and solutions.
  • Staying up-to-date with industry trends: Data science is a rapidly-evolving field, and data scientists must stay current with new tools, techniques, and trends in order to remain competitive.
  • Ensuring data security and privacy: Data scientists must follow best practices to ensure that data is handled securely and in compliance with relevant regulations and privacy laws.
  • Experimenting with new tools and techniques: Data scientists are often encouraged to experiment with new tools and techniques to improve data analysis and modeling. This may involve exploring new programming languages, data visualization tools, or machine learning algorithms.

Edureka’s Data Science Training Masters Program is a thoughtful compilation of Instructor-led and Self-paced Training Program, allowing the learners to be guided by industry experts and learn skills at their own pace.

Yes! You can be enrolled in multiple other Instructor-led or Self-paced courses offered by Edureka. This is the advantage of learning with us - “Flexible Schedule”. You can select the batches that allow you to make the best of your learning journey without the fear of overlapping or missing classes.

The recommended duration to complete this Data Science Training in Singapore is 34 weeks, however, it is up to the individual to complete this program as per their own pace.

As soon as you enroll, all the 13 courses mentioned in the curriculum will be added to your account. Edureka provides its learners with immediate and lifetime access to every course, which is a part of the Data Science Training Masters Program

A certificate of completion for the Data Science Training Masters Program shall be awarded to you once you have completed the following courses:

  • Python Statistics for Data Science Course
  • Data Science with Python Certification Course
  • PySpark Certification Training Course
  • Advanced Artificial Intelligence Course
  • Tableau Certification Training Course

To aid your learning journey, we have added the following elective courses in the LMS:
  • SQL Essentials Training
  • R Programming Certification Training
  • R Statistics for Data Science Course
  • Data Science with R Programming Certification Training Course
  • Python Programming Certification Training
  • Scala Essentials
  • MongoDB Training And Certification
  • Data Warehousing Certification Training

Completion of the above elective courses is not associated with Master's Program completion criteria.

Data science is an extremely promising career choice with vast opportunities for career growth and development in the coming years. Presently, there is a high demand for data scientists, with competitive salaries and numerous perks. This is why LinkedIn has described data science as the "most promising career" while Glassdoor has rated it as the "best job in America."

On completing this Data Science Training Masters Program, you’ll be eligible for the roles like: Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer, Business Intelligence Analyst, AI Engineer and many more.

Top Companies Such as Microsoft, Amazon, Airbnb, Splunk, IBM, Wopro, and MuSigmaare hiring Certified Data Science professionals at various positions.

Data Science Training Fee in Singapore is $ 2,039.

The salary of a data scientist in Singapore can vary depending on factors such as experience, skills, industry, and company size. On average, the salary range for data scientists in Singapore is between SGD 60,000 to SGD 120,000 per year. However, it's important to note that salaries can vary based on the level of experience and the company. Data scientists with advanced degrees, extensive experience, and specialized skills may command higher salaries. Additionally, factors such as the candidate's qualifications, expertise in specific domains or tools, and the demand for data science skills in the industry can also influence salary levels.

The salary of a data scientist in Singapore can vary depending on factors such as experience, skills, industry, and company size. On average, the salary range for data scientists in Singapore is between SGD 60,000 to SGD 120,000 per year. However, it's important to note that salaries can vary based on the level of experience and the company. Data scientists with advanced degrees, extensive experience, and specialized skills may command higher salaries. Additionally, factors such as the candidate's qualifications, expertise in specific domains or tools, and the demand for data science skills in the industry can also influence salary levels.

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