Learn from Home Offer
Data Science Course in Singapore (85 Courses, 67+ Projects)
85 Online Courses
67 Hands-on Projects
660+ Hours
Verifiable Certificate of Completion
Lifetime Access
BESTSELLER
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Python Data Scientist Courses (18 Courses)
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Python Data Scientist Projects (6 Projects)
3
R Programming Data Scientist Courses (12 Courses)
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R Programming Data Scientist Projects (11 Projects)
5
SAS Data Scientist Courses (9 Courses)
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* One Time Payment & Get Lifetime Access
* One Time Payment & Get Lifetime Access
What you get in this Data Science Course in Singapore?
Online Classes
Technical Support
Mobile App Access
Case Studies
About Data Science Course in Singapore
| Course | No. of Hours | |
|---|---|---|
| Machine Learning with Python 2022 | 5h 15m | |
| Project on Machine Learning - Covid19 Mask Detector | 2h 05m | |
| Machine Learning Project - Auto Image Captioning for Social Media | 2h 23m | |
| Machine Learning with SciKit-Learn in Python | 8h 37m | |
| Machine Learning Python Case Study - Predictive Modeling | 8h 27m | |
| Matplotlib for Python Developers - Beginners | 4h 12m | |
| Matplotlib for Python Developers - Intermediate | 2h 52m | |
| Matplotlib for Python Developers - Advanced | 6h 37m | |
| Pandas with Python Tutorial | 5h 47m | |
| NumPy and Pandas Python | 5h 01m | |
| Pandas Python Case Study - Data Management for Retail Dataset | 3h 28m | |
| Python Case Study - Sentiment Analysis | 1h 06m | |
| Data Science with Python | 4h 14m | |
| Artificial Intelligence with Python - Beginner Level | 2h 49m | |
| Artificial Intelligence with Python - Intermediate Level | 4h 36m | |
| AI Artificial Intelligence with Python | 6h 15m | |
| Video Analytics using OpenCV and Python Shells | 2h 13m | |
| Machine Learning using Python | 3h 26m | |
| Statistics Essentials with Python | 3h 23m | |
| Project on Tensorflow - Implementing Linear Model with Python | 1h 46m | |
| Project - Data Analytics with Data Exploration Case Study | 5h 7m | |
| Project on ML - Random Forest Algorithm | 1h 29m | |
| Seaborn Python - Beginners | 2h 28m | |
| Seaborn Python - Intermediate | 1h 18m | |
| Seaborn Python - Advanced | 1h 56m | |
| PySpark Python - Beginners | 2h 3m | |
| PySpark Python - Intermediate | 2h 05m | |
| PySpark Python - Advanced | 1h 14m | |
| Machine Learning Python Case Study - Diabetes Prediction | 1h 03m | |
| R Studio UI and R Script Basics | 4h 9m | |
| R Programming for Data Science | A Complete Courses to Learn | 5h 7m | |
| R Practical - Logistic Regression with R | 4h 18m | |
| Project - Decision Tree Modeling using R | 1h 44m | |
| Project on ML - Churn Prediction Model using R Studio | 1h 22m | |
| Financial Analytics in R - Beginners | 3h 5m | |
| Financial Analytics in R - Intermediate | 1h 28m | |
| Financial Analytics in R - Advanced | 1h 35m | |
| R for Finance - Beginners to Beyond | 2h 17m | |
| Comprehensive Course on R | 3h 54m | |
| Project on R - Forecasting using R | 4h 34m | |
| Project - Fraud Analytics using R & Microsoft Excel | 2h 34m | |
| Project - Marketing Analytics using R and Microsoft Excel | 2h 9m | |
| Machine Learning with R | 20h 28m | |
| Case Study - Customer Analytics using Tableau and R | 2h 7m | |
| Case Study - Pricing Analytics using Tableau and R | 2h 39m | |
| Business Analytics using R - Hands-on! | 16h 21m | |
| Project - Market Basket Analysis in R | 37m | |
| Project - Hypothesis Testing using R | 3h 6m | |
| Data Visualization with R Shiny - The Fundamentals | 39m | |
| Data Science with R | 6h 2m | |
| R Studio Anova Techniques Course | 2h 18m | |
| SAS Business Analytics for Beginners | 10h 42m | |
| Predictive Modeling with SAS Enterprise Miner | 9h 21m | |
| Quantitative Finance with SAS | 3h 29m | |
| SAS Statistics | 8h 18m | |
| SAS ODS (Output Delivery System) | 9h 08m | |
| SAS PROC SQL | 13h 49m | |
| SAS Macros | 7h 38m | |
| SAS Advanced Analytics | 12h 34m | |
| SAS Graph | 2h 1m | |
| SAS DS2 | 5h 2m | |
| SAS SQL | 3h 03m | |
| SAS Practical - Macros | 5h 12m | |
| SAS Advanced Programming | 11h 24m | |
| SAS Categorical Data Analysis | 7h 26m | |
| Certified SAS Base Programmer | 12h 2m | |
| SAS Features for Starters | 1h 5m | |
| SAS PROC SQL Features | 1h 53m | |
| Big Data and Hadoop Training | Online Hadoop Course | 2h 3m | |
| Hadoop Architecture and HDFS | 6h 13m | |
| MapReduce - Beginners | 3h 34m | |
| MapReduce - Advanced | 5h 35m | |
| Hive - Beginners | 2h 47m | |
| Hive - Advanced | 5h 11m | |
| PIG - Beginners | 2h 1m | |
| PIG - Advanced | 2h 13m | |
| NoSQL Fundamentals | 2h 01m | |
| Mahout | 3h 51m | |
| Apache Oozie | 2h 13m | |
| Apache Flume | 20m | |
| Apache Storm | 2h 4m | |
| Apache Avro | 27m | |
| Apache Spark - Beginners | 1h 5m | |
| Apache Spark - Advanced | 6h 14m | |
| Splunk Fundamentals | 8h 33m | |
| Splunk Advanced 01 - Knowledge Objects | 9h 29m | |
| Splunk Advanced 02 - Administration | 39h | |
| Project on Hadoop - Sales Data Analysis | 47m | |
| Project on Hadoop - Tourism Survey Analysis | 53m | |
| Project on Hadoop - Faculty Data Management | 35m | |
| Project on Hadoop - E-Commerce Sales Analysis | 35m | |
| Project on Hadoop - Salary Analysis | 49m | |
| Project on Hadoop - Health Survey Analysis using HDFS | 56m | |
| Project on Hadoop - Traffic Violation Analysis | 1h 25m | |
| Project on Hadoop - Analyze Loan Dataset using PIG/MapReduce | 2h 33m | |
| Project on Hadoop - Case Study on Telecom Industry using HIVE | 2h 2m | |
| Project on Hadoop - Customers Complaints Analysis using HIVE/MapReduce | 53m | |
| Project on Hadoop - Social Media Analysis using HIVE/PIG/MapReduce/Sqoop | 3h 34m | |
| Project on Hadoop - Sensor Data Analysis using HIVE/PIG | 5h 26m | |
| Project on Hadoop - Youtube Data Analysis using PIG/MapReduce | 3h 02m | |
| Hadoop and HDFS Fundamentals on Cloudera | 1h 22m | |
| Project on Hadoop - Log Data Analysis | 1h 32m | |
| SPSS 2022 - Beginners | 1h 05m | |
| SPSS 2022 - Advanced | 5h 22m | |
| Advanced SPSS Project: Impact of EMI on Home Loan | 43m | |
| Advanced SPSS Project: Impact of Total Turnover in Equity Market | 58m | |
| Advanced SPSS Project: Impact of Trade Data in Equity Market | 46m | |
| SPSS GUI and Applications | 1h 13m | |
| SPSS - Correlation Techniques | 1h 8m | |
| SPSS - Linear Regression Modeling | 3h 08m | |
| SPSS - Multiple Regression Modeling | 2h 34m | |
| SPSS - Logistic Regression | 2h 01m | |
| SPSS - Multinomial Regression | 2h 2m | |
| SPSS GUI for Statistical Analysis | 2h | |
| Tableau Desktop Training 2022 | 4h 12m | |
| Tableau Project-Creating Dashboard and Stories For Financial Markets | 2h 08m | |
| Tableau Project - Russo-Ukraine War A Data Analytical Review | 1h 02m | |
| Tableau | 4h 7m | |
| BI Tools and Tableau Analytics | 5h 38m | |
| Business Intelligence with Tableau | 5h 43m | |
| Tableau Features Hands-on! | 5h 47m | |
| Tableau Practical - Super Store Business Requirements | 45m | |
| Analytics using Tableau | 9h 29m | |
| Minitab for Beginners - 2022 | 1h 12m | |
| Advanced Minitab Training - 2022 | 4h 39m | |
| Minitab Practical - Impact of Predictors on Response | 1h 38m | |
| Statistical Analysis using Minitab - Beginners to Beyond | 4h 27m | |
| Minitab GUI and Descriptive Statistics | 2h 43m | |
| ANOVA in Minitab | 53m | |
| Correlation Techniques in Minitab | 2h 21m | |
| Project on Minitab - Regression Modeling | 9h 54m | |
| Minitab Predictive Modeling using Excel | 55m | |
| MATLAB - Beginners | 2h 58m | |
| MATLAB - Intermediate | 47m | |
| MATLAB - Advanced | 4h 1m | |
| Oracle SQL | 17h 32m | |
| Oracle PLSQL | 13h 2m | |
| Oracle DATABASE Admin DBA 1 Course | 9h 27m | |
| Machine Learning with Tensorflow | 13h 29m | |
| Hands-on Deep Learning Training | 10h 8m | |
| Project - Exploratory Data Analysis EDA using ggplot2, R and Linear Regression | 2h 07m | |
| Project on R - HR Attrition and Analytics | 2h 43m | |
| Logistic Regression using SAS Stat | 4h 28m | |
| Linear Regression in Python | 2h 31m | |
| Python Data Science Case Study - Predicting Survival of Titanic Passengers | 2h 6m | |
| Project on R - Card Purchase Prediction | 2h 28m | |
| Machine Learning Python Case Study - Develop Movie Recommendation Engine | 51m | |
| R Practical - Employee Attrition Prediction using Random Forest Technique and R | 2h 2m | |
| Project on Term Deposit Prediction using Logistic Regression CART Algorithm | 1h 38m | |
| Poisson Regression with SAS Stat | 2h 26m | |
| Machine Learning Project using Caret in R | 1h 58m | |
| Time Series Analysis in Python - Sales Forecasting | 2h 12m |
| Course Name | Data Science Course in Singapore |
| Deal | You get access to all videos for the lifetime |
| Hours | 660+ Video Hours |
| Core Coverage | You get to learn data science using R, Python, Machine Learning, Artificial Intelligence, Big data & Hadoop, Predictive Modeling, Business Analytics, Data Visualization, and other areas under Data Science. |
| Course Validity | Lifetime Access |
| Eligibility | Anyone serious about learning data science and wants to make a career in analytics |
| Pre-Requisites | Basic knowledge of data and analytics |
| What do you get? | Certificate of Completion for the course |
| Certification Type | Course Completion Certificates |
| Verifiable Certificates? | Yes, you get verifiable certificates for each85 course, 67 Projects with a unique link. These link can be included in your resume/Linkedin profile to showcase your enhanced skills |
| Type of Training | Video Course – Self Paced Learning |
| Software Required | None |
| System Requirement | 1 GB RAM or higher |
| Other Requirement | Speaker / Headphone |
Data Science Course in Singapore Curriculum
This Data Science Course in Singapore is entirely constructed to encounter the present-day requirements of the IT sector to become a proficient Data Science Expert. Transforming your career path to become a Data Scientist combines business, statistics, analysis, and programming techniques. A Data Science Professional needs to perform certain tasks which can be sequenced as following – collecting data, preparing the data, analyzing it, evaluation of the results incurred, building the model, testing the model, followed by deployment and optimization of the model. The course is sliced into units that typically teaches Python initially in the course. It’s a combo of ML (Machine Learning) and Statistical techniques used in Python which will help interpret and analyze complex data easily. Also, you would go through the multiple libraries present as part of Python being utilized for analyzing data such as Pandas and NumPy for data manipulation and performing scientific computing respectively. Further adding to this, you will also learn Plotly, Matplotlib, and Seaborn (i.e. for plotting) as well as the concept of visualization from the perspective of python. Digging further you will be supplied with an outline of ML libraries needed for constructing a neural network, Scikit-learn & Data preprocessing.
Further, also, you will get to know about R Language, a programming paradigm that is crucial due to its ingeniousness in the statistics field. We will get deep inside the topics like predictive modeling, visualization, and statistical analysis in R Programming Language. The course adds the working experience of analysis software like SAS used by most of the big companies. It’s easy and simple to absorb and typically similar to SQL. It also includes hands-on and practicals based on live projects in SAS clubbed with examples. These live projects make it handy for yourself to make all the learning and concepts to blend inefficiently.
Further, you will go through learning Hadoop since it is the need of the hour as, with the advent of the IT age, the need to store, interpret and organize large chunks of data has become very important. Nowadays, there are multiple tools present for analyzing the data such as Matlab, SPSS, Splunk, Minitab, and Tableau. In this Data Science Course in Singapore, you would get to know all the experience understanding needed to learn these tools supplied with working projects on Big Data for real-time scenarios. With the completion of this course, you will become a full-fledged Data Scientist.
Data Scientist Course – Certificate of Completion
What is Data Science?
Data Science is typically viewed as talking of complicated models, their visualizations, and explorations but rather it is about utilizing the data in various ways such that it can be used for various purposes in your organization. Now, these purposes can be visualized in many ways such as- data products, recommendations, and insights. Nowadays, the main use of Data Science in an organization is for making the appropriate decisions, for carrying out pattern recognition as well as predictive analysis. So, the main role of a Data Science Professional in a firm is solving real organizational problems. This Data Science Course in Singapore helps you in mastering various modules like data models, data analysis, Artificial Intelligence, Data Visualizations, and many more. This course will provide you training as well as certification with experience on various real-time working projects in banking, finance, e-commerce, etc.
Industry Growth Trend
The overall data science platform market is expected to grow from USD 19.58 billion in 2016 to USD 101.37 billion by 2021, at a CAGR of 38.9% from 2016 to 2021.[Source - MarketsandMarkets]
Average Salary
Average Salary$120,301 per year
The average salary for a Data Scientist is $120,301 per year in the United States.
[Source - Indeed]
[Source - Indeed]
Which skills you will learn in this course?
This is a full-package of becoming a successful Data Science Professional that supplies you with a brief explanation of various modules in Data Visualization, Data Analytics, and Data Science. All the topics introduced in this Data Science Course in Singapore delivers the toolkit that you will require to become a Data Science Expert specifically in some programming languages like- Python and R.
Pre-requisites
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- Data Science Module for Python – It comprises of NumPy, Pandas, Data Management, Machine Learning with SciKit, Python Shells & Opencv, Matplotlib for Video Analytics, Predictive Modeling, Sentiment Analysis, Seaborn, PySpark, etc.
- Data Science Module for R – It comprises of Decision Tree Modeling, Marketing Analytics, Financial Analytics, Logistic Regression, R Script Basics & R Studio UI, Churn Prediction Model, etc.
- Data Science Module for SAS– It comprises of programming with SAS SQL & SAS DS2, SAS PROC SQL, Predictive Modeling, SAS Business Analytics, SAS Output Delivery System(ODS), SAS Enterprise Miner, etc.
- Data Science Module for Hadoop– It comprises of PIG, Hive, Apache Spark, Apache Storm, Apache Flume, Apache Oozie, Apache Avro, MapReduce, NoSQL Fundamentals, HDFS & Hadoop Architecture, etc.
- Matlab, Splunk, Minitab, Splunk, Tableau, SPSS
Ideal learners for this Data Science Course in Singapore are determined learners possessing :
- The eagerness in the field of Data Science, Artificial Intelligence, and Machine Learning.
- No earlier experience is needed. This training is designed in such a way like first it covers all the basics concepts then goes on.
- The will of striking with equitable questions.
- Will to strike their minds with new methods to decode a particular not-so-common business problem and also able to detect problems in prior and take actions accordingly.
- Ability to communicate well to inform the outcomes of the findings in the correct way.
- Basic Excel knowledge is required. It is helpful when you play with a big amount of data.
- Knowledge of common maths operations. If you have regard in maths, it is helpful for you while going through this Data Science course.
Target Audience
- Beginners – Individuals having a keen interest in studying Data science subjects can go for this online training to have hands-on experience in the field. It is also helpful for anyone who seeks to path his/her career in the field of Data Science.
- Students – Scholars pursuing a degree or diploma in the field of Data Science and want to acquire added knowledge can opt for this Data Science Course in Singapore.
- Professionals – Developers, Professionals in Business Intelligence and Big Data, Information Architects, Business Analyst, Statisticians, looking to grasp Predictive Analytics, Machine Learning, and also those thinking about taking up the roles such as Data Scientist & Machine Learning experts very soon.
Data Science Course in Singapore – FAQ’s
Why should you go to learning Data Science?
Being a hot conversation topic in the market, Data Science is the field where individuals need to focus to make their career shine and also scholars or workaholics having the understanding and proficiency on technologies for data management such as Machine learning, Big Data, Hadoop, etc. opting for this Data Science Course in Singapore will add a bonus to his/her career.
What are the roles or jobs offered to personals with Data Science knowledge?
The knowledge and opportunities in this field of Data Science are immense and it provides you a chance with various key roles to be played in the Big Tech giants such as Data Scientist, Data Analyst, Business Analyst, Data Engineer, Quality Engineer, Quality Analyst, Quality Manager, Statistician, Statistical Analyst, Software Engineer, etc.
Why should you enroll yourself in this Data Scientist Training online?
Our Data Science Course is built in such a manner that it is paved with all the necessary tools and technologies needed to become a proficient Data Science Expert. It will help you learn every topic in this Data Science Course in Singapore very deliberately with hands-on experience of live working projects which will help fast-tracking your career and to provide you with your dream jobs after the course.
What perks and wages offered to a Data Scientist Professional in India?
Due to its huge demand in the market and fewer professionals with adequate knowledge, Data Science has become a shining star in the IT sector. Professionals in this field get to start their careers with an average salary of 12 lakhs per annum and much more in some MNC’s.
Name the companies employing Data Science Professionals?
Major IT companies in India like TCS, Infosys, Accenture, Wipro, Capgemini, or companies of e-commerce sector such as Amazon, Snapdeal, Paytm Mall, Flipkart adding with multiple other start-ups coming in India are using the efforts of well experienced Data Science Professionals.
Do we need to have any prior experience before getting a Data Science Role?
The most seductive thing to become a proficient Data Scientist is to have proper and deep knowledge. Nowadays companies are realizing the necessary potential in individuals and seek people with determination towards their work and company.
Why should you take up the Data Science course in Singapore?
Data science is the most emerging field in technology currently. But the number of people with the required skill-set is very few. The benefit of opting for Data Science training in Singapore is because of many reasons like- high in demand, highly paid job, prestigious and versatile. The demand for Data Scientist is very high but the supply of them is low. So, choosing this training and going for it, will help you to kick-start your career.
What is the Data Science market trend in Singapore?
Singapore is a talent hot spot and hottest center for Data Analytics and Data Science-based organizations who are leading the jobs market. It is the central hub for Data-based firms and it offers a wide number of opportunities also. According to market research, the number of jobs has been doubled in Data Science. Currently, Data scientists are mostly in demand in Singapore and there seems to have a big disparity in demand and supply of Data scientists in Singapore, and because of that, it is the most highly paying job in IT. So, if you want to start your career as a Data scientist in Singapore then it would require the proper skill-set and competencies which can be obtained with the help of this Data Science training in Singapore.
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Career Benefits
- The Data Science sector is nowadays one of the growing fields in the IT world. But, if you want to get a position in this sector, it would depend upon your experience, knowledge, and training. However, organizations are now realizing the value of technologies like Machine Learning, Artificial Intelligence, Deep Learning, etc. So, the need for skilled professional and proficient Data Scientist is going to increase shortly.
- Thriving Career: If you would like to jump-start your profession in the Data Science field then having a certification in Data Science can become your first step in the direction.
- Acknowledging the tools and algorithms used in Data Science: Data Science is an ever sparking field that leads the professionals to use the latest tools and methodologies for analysis and data visualization. In this training, you will learn about various algorithms used in Data Science as our course material is getting upgraded timely.
- Keeps you updated with the latest methods, technologies, and tools used: Registering for this Data Science Course in Singapore would keep you updated with new methods, tools, and technologies used in Data Science paving your way of learning tension free.
- With the help of this training certification, you easily exhibit your skills and expertise: Nowadays organizations are considering various factors before hiring a Data Scientist. So, being a little bit of experience in this sector gives you an edge and increases your chance of getting hired.
Reviews
Excellent
It was a well-explained course! Easy to understand and practice. Recommended for beginners.
Linked
Arjun Gaggar
Data Scientist Certification Course
The data scientist training covers t-distribution, Z statistic, and Central limit theorem with exceptional clarity. It helped me in understanding the concepts with such a depth that I would never forget them now. The examples are highly practical and apt. The parallel execution of formulas in R makes it simple to remember rather than just going through the formulae, this Data Science course explains the underlying concepts first. It is the best course on R-Statistics I have come across so far.
Linked
Abbas Singapurwala
Data Scientist Course
Business Analytics is an excellent course for beginners in both Statistics and R programming. A lot of concepts have been covered from basics. It includes descriptive analysis, regression modeling, time series forecasting. It’s good knowledge if someone does not have any background in these techniques.
Linked
Ankit Tyagi
Very good
Detailed and informative Data Scientist course. covered everything in depth. need to know basic statistics for this Data scientist course. but this will lay a solid ground to become a data analyst. with this course realized how powerful is R software and its possibilities. Loved every bit of the data scientist training and would do more courses from EduCBA
Linked
Mudassir Ahmed
Best Professional Development Platform
I have tried a lot of e-portals to have a complete set of curriculum on a specific professional course but did not find any. Thanks to EduCBA for their brilliant initiative to put details of the data scientist course and related topic in a single platform along issuing a course completion certificate……
Linked
SANJAY KUMAR KHILAR
Effective Tool for dashboard creation
This Data Science course is very informative and good for beginners. Clear, easy to understand and the instructor delivered the data scientist training in a very smooth way and covered a lot of topics. It lists the typical activities carried out in analytics and dashboard creation. Furthermore, it helps to define how to make a dashboard effectively. Simple and easily demonstrated Sales and Marketing analysis, chart, and table creation.
Linked
Patrick
Nice & Refreshing Course
This course on Hadoop and HDFS Basics was nice and refreshing. The instructor has explained all the concepts simply by providing sample examples. If you are completely new to Hadoop and need to learn basics then I recommend you to go for this Data Science course.
Linked
Almaamoon rasool abdali
