Data science Course in Singapore

5 ( 1407 Learners)

Get Your Dream Job With Our Data science course in Singapore

30+ Hrs

Hands On Training

Lifetime Access

Updated Content

Customizable

Learning Paths

Industry Expert

Mentors

Projects

Advanced Interactive

Data Science Course Singapore - Course Overview

Data science refers to the study of data with the objective of gaining important business insights. In order to analyze massive volumes of data, this multidisciplinary approach incorporates ideas and methods from the domains of mathematics, statistics, artificial intelligencr, and computer engineering. Data scientists can determine the answers to questions like what happened, why it happened, what will happen, and what can be done with the result of this research.

HKR Trainings enables the aspirants to learn the concepts as per the current industry standards. We possess experienced trainers who provide you in-depth knowledge of all the concepts from the basics like data science exploration, manipulation, and visualization, Machine learning, Logistics Regression, unsupervised learning, decision trees, AI basics, text mining, etc. As part of this course, our trainers will assist you and guide you in every aspect. They ensure that you would get the best Data science training in Singapore. Our Data Science Course in Singapore will pave the way for your successful career as a data scientist. So enroll now and advance your career.

Prerequisites

To apply for the Data science course in Singapore, you need to either:

You need to have a good foundation in mathematical concepts like linear algebra, calculus, probability and statistics
You need to know at least one programming language like Python or R. You need to have a good understanding of OOPs concepts, algorithms, and data structures.
You need to have some basic data analysis and data visualisation skills.

Data Science Course Singapore - Course Content

We have curated the course curriculum of the Data Science course in Singapore with the help of industry experts. So you would get in-depth knowledge of data science concepts. Have a glance at the modules included in this data science course:

In this module, you are going to learn about the various Data Science concepts, as follows:

Introduction to Data Science, Importance of data science, applications, lifecycle, and components.
Big data Hadoop, machine learning and deep learning
Introduction to R programming and R studio.

Introduction to data exploration
Importing and exporting data to and from external sources
Data exploratory analysis
Data Frames, factors, loops, operators, conditional and looping statements, user-defined functions and data types, etc.

Introduction to data manipulation
Introduction to dplyr package
Briefing about functions and combining different features with the pipe operator
Implementing SQL operations with sqldf.

Introduction to data visualization
Explaining different graphs functions and it's implementations
Multivariate analysis with geom_boxplot
Univariate analysis with a barplot
Creation of barplots
Visualization with Plotly
Working with themes and coordinates to present graphs more visually and clearly.
Geographic visualization with ggmap() and building applications with shinyR.

Need for statistics
Categories of statistics
Correlation and covariance, standardization, normalization, normal distribution, chi-square testing, ANOVA, and binary distribution.

Introduction to machine learning, linear regression, predictive modeling, formulas, assumptions, and building a simple linear model
Introduction to logistic regression
Comparison of different types of regressions.
Confusion matrix the accuracy of a model, threshold evaluation with ROCR, and understanding qqnorm() and qqline()
Building linear models with multiple independent variables.

Introduction to logistic regression
Concepts of logistic regression
Building a simple binomial model
Finding out the right threshold using the ROC plot
Real-time applications of logistic regression.

Classification and it's techniques
Introduction to decision trees, algorithm and building a decision tree in R
Confusion matrix, regression trees vs. classification
trees Introduction to bagging
Random Forest and its implementation in R
Naive Bayes and it's computing possibilities
Concepts of Impurity function, Entropy, Gini index, and Information gain for the right split of node
Overfitting, pruning basics, finding out the correct number of trees, and evaluating performance metrics.

Clustering, types and use cases
Introduction to unsupervised learning
Feature extraction, clustering algorithm, and k-means clustering algorithm
Briefing about k-means and its implementation
Explaining the Principal Component Analysis (PCA) in detail and implementing PCA in R

Introduction to association rule mining, advantages, types, measuring the association
rule mining and implementation.
Introduction to recommendation engines
How are recommendation engines implemented in R?
Recommendation engines use cases.Summary

AI and deep learning
Fundamental of Artificial Neural Networks
Tensor Flow
Computational frameworks for building AI models
Fundamental of tensorflow and working it with R

What is a time series?
Techniques, applications, and components of the time series
ARIMA model
Time series in R, sentiment analysis in R (Twitter sentiment analysis), and text analysis

What is the Bayes theorem?, Naïve Bayes Classifier?
How Naive Bayes classifier works and classifier building in Scikit-Learn.
classification model using Naïve Bayes and the zero probability problem

Introduction to text mining, use cases, and understanding and manipulating the text with 'tm' and 'stringR'.
Text mining algorithms and the quantification of the text
TF-IDF and after TF-IDF

Data science project

Project 1

Detection Of Gender

In this project, you will be creating an application that will help us to predict the gender and age of the individual.

Project 2

Detecting The Drowsiness Of The Driver

Drowsiness is one of the main reasons for the many accidents that occur. So, in this project, we will be creating an application t.....hat will detect the sleepy drivers and alert them by an alarm. Read more

Project 3

Recognition Of Handwritten Digits

In this project, we will be creating an application that identifies the handwritten digits. This project is implemented with the h.....elp of Convolutional Neural Networks. For the prediction a graphical user interface is developed for drawing the digits on canva and the model will detect the digit. Read more

Project 4

Chatbot For Organisations

Organisations cannot handle multiple operations at the same time and cannot focus on the important operations/tasks that actually .....need focus. The tasks that don't need much focus and are repetitive, like customer interactions, can be automated with the help of chatbots. So, using the concepts of data science, create a chatbot that can assess the customers' enquiry and respond to them. Read more

Data Science Course Singapore Options

LIVE ONLINE TRAINING

Preferred

Interactive sessions
Learn by doing
Instant doubt resolution
Expert's Guidance
Industry-ready skills

Batch	Start Date	Time
Weekday	29-Apr - 29-May	09:30 AM IST
Fast Track	3-May - 23-May	11:30 AM IST
Weekday	7-May - 6-Jun	01:30 PM IST

299

Pay installments with no cost EMI

1:1 LIVE ONLINE TRAINING

Exclusive training
Flexible timing
Personalized curriculum
Hands-on sessions
Simplified Learning

Exclusive learning from industry experts

699

Pay installments with no cost EMI

SELF-PACED E-LEARNING

Skill up easily
Learn in no hurry
Less expensive
Unlimited access
Convenient

Hone your skills from anywhere at anytime

119

Pay installments with no cost EMI

Corporate Training

Employee and Team Training Solutions

Top Companies Trust HKR Trainings

Employee and Team Training Solutions

Employee and Team Training Solutions

Our Learners

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I had an insightful experience with HKR Trainings while participating in the ServiceNow ITOM (IT Operations Management) Training online. Engaging in instructor-led sessions, the trainer offered detailed insights into various ServiceNow ITOM modules and practices. Throughout the course, the support team was consistently available, and the trainer adeptly clarified all my inquiries, ensuring a comprehensive understanding of ServiceNow ITOM concepts.

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IT Analyst

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Technical Lead - Service Now

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I had a rewarding experience with HKR Trainings while delving into the ServiceNow ITOM (IT Operations Management) Training online. Engaging in instructor-led sessions, the trainer provided comprehensive insights into various ServiceNow ITOM modules and best practices. Throughout the course, the support team was consistently available, and the trainer adeptly addressed all my queries, ensuring a robust understanding of ServiceNow ITOM concepts.

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Data Science online Course in Singapore - Objectives

The following list of things can be learned or explored during the data science course in Singapore. They are:

Learn everything there is to know about data structure and manipulation.
Learn about linear and non-linear regression models, as well as classification approaches for data analysis, and how to use them.
Learn about clustering, dimensionality reduction, linear regression, logistic regression, K-NN, and pipeline learning methods, as well as supervised and unsupervised learning models.
Use the SciPy package and its subpackages, such as Integrate, Optimize, Statistics, IO, and Weave, to perform technical and scientific computing.
Using the NumPy and Scikit-Learn packages, get experience in the field of mathematical computing.
Learn about the many components of the Hadoop ecosystem.
Work with HBase, its architecture, and data storage to get experience. Learn the differences between HBase and RDBMS, as well as how to partition data with Hive and Impala.
Learn about MapReduce and all of its features, as well as how to use tools like Sqoop and Flume to ingest data.
Master the time series modeling and recommendation engine's basic concepts. Gain a practical understanding of machine learning algorithms, principles, and applications.
This data science training in Singapore will teach you how to use Tableau to analyze data and create interactive dashboards.

The Data Science training Certification offered in Singapore was designed for professionals with and without work experience in any of the profiles below:

IT Professionals
Analytics Managers
Business Analysts
Banking and Finance Professionals
Marketing Managers
Supply Chain Network Managers
Beginners or Recent Graduates in Bachelors or Master’s Degree

Candidates interested in learning or advancing their careers can enroll in a Data science course in Singapore. Basic statistics and programming language expertise are also advantageous.

To start with this Data Science training, you need to either click on the Enrol Now icon at the top of the screen, or contact us at our customer care number, or just enter your details in the pop-up and submit it. Our Team will contact you as soon as possible and give you more information regarding the training process.

Immediately after the successful completion of the course which is accompanied by the real time projects task and assignments, HKR trainings offers you the course completion certificate. This certification differentiates you from the other non-certified peers and also helps to get a job in any company in Singapore very quickly.

The Data Science certified professionals at HKR trainings in Singapore deliver the lectures to the individuals to unleash their abilities in this technology.

The benefits you can gain upon the completion of the certification are , you will be given higher preference for competitive jobs related to analytics.

Yes! Right from the first day of your Data Science training, our trainers make sure that you are clear with all the concepts. And when you complete your course, you will also get assistance in resume preparation, etc., which gives you the confidence to clear your interview. Moreover, We are also tied up with some corporate companies. So when they have a requirement, we forward your profiles to them.

Two real-time projects will be implemented for each course we deliver at HKR training in Singapore. During this portion, you can gain knowledge and skills on a certain topic that will be very useful during the interview sessions, and you can also receive official certificates for free.

FAQs

A Data Scientist will have to code however, it is not the day to day task of a data scientist to code.

The professionals involved in data science deal with huge work, deadlines and other management tasks. All these tasks make this job stressful.

Data Science is one of the Lucrative careers at present. The salary for an entry level data scientist will start from ₹5Lakhs per annum.

To become a data Scientist, you must be a graduate from the disciplines like Computer Science, Mathematics/statistics, Business Information systems, information management, etc.

There are many other languages that can be used in data science instead of Python. One such language is R programming. But every language will have its own strengths and weaknesses.

Every class is recorded. If you have missed your class, you can learn those concepts from the recorded sessions of the missed class. So, No worries!

Yes! Right from the first day of your Data Science training, our trainers make sure that you understand all the concepts and provide you with complete guidance to reach your dream job. And when you complete your course, we will also assist you in your resume preparation which will give you the confidence to clear your interview. Moreover, We are also tied up with some corporate companies. So when they have a requirement, we forward your profiles to them.

At HKR, we provide a free demo session for training seekers so they can check our quality and method of education before they enroll.

You can contact our customer care number if your query does not belong to any of the questions we have addressed in this article. We will get back to you as soon as possible.

HKR Trainings assures that the learners get a quality course from our trainers. You (the learners) will have lifetime access to recorded sessions. So in case of any doubts, you can watch these recorded sessions or even can ask your trainers to clarify them. Moreover, you will also be working on a real-time project which will help you understand the concepts more clearly. So there is no question of not being satisfied.

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