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Data Science Training in Singapore from the leading Data Science training institute in Singapore helps aspirants accelerate their careers. Data science courses in Singapore are designed with the perfect combination of capstone projects, case studies, practical and theoretical subjects to enable the aspirants to understand the concepts easily. Data science course training concepts cover basic to advanced concepts in Data Science, including data collection, data cleansing, data transformation, data integration, building prediction models, and many more. The trainers of data Science training are experienced professionals working in top MNC companies and IT industries worldwide. The aspirants acquire the internationally valuable data science course completion certificate once they finish the Data science training course from Besant Technologies.

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Upcoming Batch Schedule for Data Science Training in Singapore

Besant Technologies provides flexible timings to all our students. Here are the Data Science Training Classes in Singapore Schedule in our branches. If this schedule doesn’t match please let us know. We will try to arrange appropriate timings based on your flexible timings.

  • 01-11-2021 Mon (Mon - Fri)Weekdays Batch 08:00 AM (IST)(Class 1Hr - 1:30Hrs) / Per SessionGet Fees
  • 28-10-2021 Thu (Mon - Fri)Weekdays Batch 08:00 AM (IST)(Class 1Hr - 1:30Hrs) / Per SessionGet Fees
  • 30-10-2021Sat (Sat - Sun)Weekend Batch11:00 AM (IST) (Class 3Hrs) / Per SessionGet Fees
Data Science Training in Singapore

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Syllabus of Data Science Course in Singapore

Module 1: Introduction to Data Science

  • What is Data Science?
  • What is Machine Learning?
  • What is Deep Learning?
  • What is AI?
  • Data Analytics & it’s types

Module 2: Introduction to Python

  • What is Python?
  • Why Python?
  • Installing Python
  • Python IDEs
  • Jupyter Notebook Overview

Module 3: Python Basics

  • Python Basic Data types
  • Lists
  • Slicing
  • IF statements
  • Loops
  • Dictionaries
  • Tuples
  • Functions
  • Array
  • Selection by position & Labels

Module 4: Python Packages

  • Pandas
  • Numpy
  • Sci-kit Learn
  • Mat-plot library

Module 5: Importing data

  • Reading CSV files
  • Saving in Python data
  • Loading Python data objects
  • Writing data to csv file

Module 6: Manipulating Data

  •  Selecting rows/observations
  • Rounding Number
  • Selecting columns/fields
  • Merging data
  • Data aggregation
  • Data munging techniques

Module 7: Statistics Basics

  • Central Tendency
    • Mean
    • Median
    • Mode
    • Skewness
    • Normal Distribution
  • Probability Basics
    • What does mean by probability?
    • Types of Probability
    • ODDS Ratio?
  • Standard Deviation
    • Data deviation & distribution
    • Variance
  •  Bias variance Trade off
    • Underfitting
    • Overfitting
  • Distance metrics
    • Euclidean Distance
    • Manhattan Distance
  • Outlier analysis
    • What is an Outlier?
    • Inter Quartile Range
    • Box & whisker plot
    • Upper Whisker
    • Lower Whisker
    • catter plot
    • Cook’s Distance
  • Missing Value treatments
    • What is a NA?
    • Central Imputation
    • KNN imputation
    • Dummification
  • Correlation
    • Pearson correlation
    • Positive & Negative correlation
  • Error Metrics Duration-3hr
    • Classification
    • Confusion Matrix
    • Precision
    • Recall
    • Specificity
    • F1 Score
  • Regression
    • MSE
    • RMSE
    • MAPE

Module 8: Machine Learning

Module 9: Supervised Learning

  • Linear Regression
    • Linear Equation
    • Slope
    • Intercept
    • R square value
  • Logistic regression
    • ODDS ratio
    • Probability of success
    • Probability of failure
    • ROC curve
    • Bias Variance Tradeoff

Module 10: Unsupervised Learning

  • K-Means
  • K-Means ++
  • Hierarchical Clustering

Module 11: Other Machine Learning algorithms

  • K – Nearest Neighbour
  • Naïve Bayes Classifier
  • Decision Tree – CART
  • Decision Tree – C50
  • Random Forest

For More Details About Data Science with Python Course Click Here! →

Data Science with SAS Training Syllabus

Module 1: Overview of SAS

  • Introduction and History of SAS
  • Significance of SAS software solutions in various industries
  • Demonstrate SAS Capabilities
  • Job Profile / career opportunities with SAS worldwide?

Module 2: Base SAS Fundamentals

  • Explore SAS Windowing Environment
  • SAS Tasks
  • Working with SAS Syntax
  • Create and submit a SAS sample program

Module 3: Data Access & Data Transformation

  • Accessing SAS Data libraries
  • Getting familiar with SAS Data set

Module 4: Reading SAS data set

  • Introduction to reading data
  • Examine structure of SAS data set
  • Understanding of SAS works

Module 5: Reading Excel worksheets

  • Using Excel data as input
  • Create as sample program to import and export excel sheets

Module 6: Reading Raw data from External File

  • Introduction to raw data
  • Reading delimited raw data file (List Input)
  • Using standard delimited data as input
  • Using nonstandard delimited data as input
  • Reading raw data aligned to columns (Fixed or column input)
  • Reading raw data with special instructions (Formatted input)

Module 7: Writing to an External file

  • Write data values from SAS data set to an external file

Module 8: Data transformations (Data step processing)

  • Create multiple output datasets from single SAS dataset
  • Writing observations to one or more SAS datasets
  • Controlling which observations and variables to be written to output data

Module 9: Creating subset of observations using

  • Where condition
  • Conditional processing using: IF statements

Module 10: Processing Data Iteratively

  • Iterative DO loop processing with END statement
  • DO WHILE & DO UNTIL Statement
  • SAS Array statement

Module 11: Summarizing data

  • Creating and Accumulating total variable (Retain)
  • Using Assignment statement
  • Accumulating totals for a group of data (BY group)

Module 12: Manipulating Data

  • Sorting SAS data sets
  • Manipulating SAS data values
  • Presentation of user defined values /data/currency values using FORMAT procedure
  • SAS functions to manipulate char and num data
  • Convert data type form char-to num and num-to-char
  • SAS variables lists/ SAS variables lists range
  • Debugging SAS program
  • Accessing observations by creating index

Module 13: Restructuring a SAS data set

  • Rotating with the data step
  • Using the transpose procedure

Module 14: Combining SAS data sets

  • Concatenation
  • Interleaving
  • One to one reading
  • One to one merging (with non-matching)
  • Match merging (Merging types with IN=option)

Module 15: SAS Access & SAS Connect

  • Validating and cleaning data
  • Detect and correct syntax errors
  • Examining data errors

Module 16: Analysis & Presentation

  • SAS/REPORTS SAS/GRAPH
  • SAS/STATS SAS/ODS

Module 17: Producing detailed /Summary Reports

  • Freq Report
  • Means Report
  • Tabulate Report
  • Proc report
  • Summary report
  • Univariate report
  • Contents report
  • Print report
  • Compare proc
  • Copy proc
  • Datasets proc
  • Proc append
  • Proc delete

Module 18: Generating Statistical Reports using

  • Regression proc
  • Uni/Multivariate proc
  • Anova proc

Module 19: Generating Graphical reports using

  • Producing Bar and Pie charts (GCHART Proc)
  • Producing plots (GPLOT Proc)
  • Presenting Output Report result in:
  • PDF
  • Text files
  • Excel
  • HTML Files

Module 20: SAS/SQL Programming

  • Introduction and overview to SQL procedure
  • Proc SQL and Data step comparisons

Module 21: Basics Queries

  • Proc SQL syntax overview
  • Specifying columns/creating new columns
  • Specifying rows/subsetting on rows
  • Ordering or sorting data
  • Formatting output results
  • Presenting detailed data
  • Presenting summarized data

Module 22: Sub Queries

  • Non correlated sub queries
  • Correlated sub queries

Module 23: SQL Joins (Combining SAS data sets using SQL Joins)

  • Introduction to SQL joins
  • Types of joins with examples
  • Simple to complex joins
  • Choosing between data step merges and SQL joins

Module 24: SET Operators

  • Introduction to set operations
  • Except/Intersect/Union/Outer union operator

Module 25: Additional SQL Procedures features

  • Creating views with SQL procedure
  • Dictionary tables and views
  • Interfacing Proc SQL with the macro programming language
  • Creating and maintaining indexes
  • SQL Pass-Through facility

Module 26: SAS Macro Language

  • Introduction to macro facility
  • Generate SAS code using macros
  • Macro compilation
  • Creating macro variables
  • Scope or macro variables
  • Global/Local Macro variables
  • User defined /Automatic Macro variables
  • Macro variables references
  • Combing macro variables references with text
  • Macro functions
  • Quoting (Masking)
  • Creating macro variables in Data step (Call SYMPUT Routine)
  • Obtaining variable value during macro execution (SYMGET function)
  • Creating macro variables during PROC SQL execution (INTO Clause)
  • Creating a delimited list of values
  • Macro parameters
  • Strong Macro using Autocall Features
  • Permanently storing and using stored compiled macro program
  • SAS Macro debugging options to track problems

Module 27: Basics Statistics

  • Standard deviation
  • Correlation Coefficients
  • Outliers
  • Linear regressions
  • Clustering
  • Chi Square

For More Details About Data Science with Python Course Click Here! →

Data Science with R Training Syllabus

Module 1: Introduction to Data Science

  • What is Data Science?
  • What is Machine Learning?
  • What is Deep Learning?
  • What is AI?
  • Data Analytics & it’s types

Module 2: Introduction to R

  • What is R?
  • Why R?
  • Installing R
  • R environment
  • How to get help in R
  • R Studio Overview

Module 3: R Basics

  •  Environment setup
  • Data Types
  • Variables Vectors
  • Lists
  • Matrix
  • Array
  • Factors
  • Data Frames
  • Loops
  • Packages
  • Functions
  • In-Built Data sets

Module 4: R Packages

  • DMwR
  • Dplyr/plyr
  • Caret
  • Lubridate
  • E1071
  • Cluster/fpc
  • Data.table
  • Stats/utils
  • Ggplot/ggplot2
  • Glmnet

Module 5: Importing Data

  • Reading CSV files
  • Saving in Python data
  • Loading Python data objects
  • Writing data to csv file

Module 6: Manipulating Data

  • Selecting rows/observations
  • Rounding Number
  • Selecting columns/fields
  • Merging data
  • Data aggregation
  • Data munging techniques

Module 7: Statistics Basics

  • Central Tendency
    • Mean
    • Median
    • Mode
    • Skewness
    • Normal Distribution
  •  Probability Basics
    • What does mean by probability?
    • Types of Probability
    • ODDS Ratio?
  • Standard Deviation
    • Data deviation & distribution
    • Variance
  • Bias variance Trade off
    • Underfitting
    • Overfitting
  • Distance metrics
    • Euclidean Distance
    • Manhattan Distance
  • Outlier analysis
    • What is an Outlier?
    • Inter Quartile Range
    • Box & whisker plot
    • Upper Whisker
    • Lower Whisker
    • Scatter plot
    • Cook’s Distance
  • Missing Value treatments
    • What is a NA?
    • Central Imputation
    • KNN imputation
    • Dummification
  • Correlation
    • Pearson correlation
    • Positive & Negative correlation

Module 8: Error Metrics

  • Classification
    • Confusion Matrix
    • Precision
    • Recall
    • Specificity
    • F1 Score
  • Regression
    • MSE
    • RMSE
    • MAPE

Module 9: Machine Learning Module 10: Supervised Learning

  • Linear Regression
    • Linear Equation
    • Slope
    • Intercept
    • R square value
  •  Logistic regression
    • ODDS ratio
    • Probability of success
    • Probability of failure
    • ROC curve
    • Bias Variance Tradeoff

Module 11: Unsupervised Learning

  • K-Means
  • K-Means ++
  • Hierarchical Clustering

Module 12: Machine Learning using R

  • Linear Regression
  • Logistic Regression
  • K-Means
  • K-Means++
  • Hierarchical Clustering – Agglomerative
  • CART
  • 5.0
  • Random forest
  • Naïve Bayes

Besant Technologies boasts of being the Best Data Science training institute in Chennai. And the syllabus for this course has been broken down below (not in any specific order) for your convenience.

For More Details About Data Science with R Course Click Here! →

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Data Science Training Course Program – An Overview

As a part of the Data Science training in Singapore, the trainers cover essential data science skills and tools that range from text mining, hypothesis testing, machine learning, neural networks, predictive modeling, Tableau, Hadoop, statistical analysis, regression modeling, predictive analytics, deep learning, natural language processing, R Studio, Spark. Some of the programming languages covered in the data science course include Python and R Programming. There are ample job opportunities available for the aspirants choosing data science as their career path. According to NASSCOM, more than 1.4 lakhs of jobs are available in data science, big data, and artificial intelligence.

According to the Talent supply index, the demand for data scientist experts is increasing every year. If you are professionals working on reporting tools, data warehousing, and business intelligence, six sigma consultants, software programmers, professionals from a different domain with analytical, mathematical, and logical skills, mathematicians, economists, statisticians, business analysts, and freshers can choose the data science training course from Besant Technologies. Apart from data science training in Singapore, the trainers also help aspirants with resume building, evaluating aspirant’s expertise, knowledge, mock interviews, and placement assistance. According to PayScale.com, the aspirants with data science skills receive a salary of S$70699 per annum in Singapore.

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Trainer Profile of Data Science Training in Singapore

Our Trainers provide complete freedom to the students, to explore the subject and learn based on real-time examples. Our trainers help the candidates in completing their projects and even prepare them for interview questions and answers. Candidates are free to ask any questions at any time.

  • More than 7+ Years of Experience.
  • Trained more than 2000+ students in a year.
  • Strong Theoretical & Practical Knowledge.
  • Certified Professionals with High Grade.
  • Well connected with Hiring HRs in multinational companies.
  • Expert level Subject Knowledge and fully up-to-date on real-world industry applications.
  • Trainers have Experienced on multiple real-time projects in their Industries.
  • Our Trainers are working in multinational companies such as CTS, TCS, HCL Technologies, ZOHO, Birlasoft, IBM, Microsoft, HP, Scope, Philips Technologies etc

Corporate Training

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Data Science Exams & Certification

Besant Technologies Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher’s as well as corporate trainees.

Our certification at Besant Technologies is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC’s of the world. The certification is only provided after successful completion of our training and practical based projects.

Data Science Training in Singapore

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Key Features of Data Science Training in Singapore

30+ Hours Course Duration

100% Job Oriented Training

Industry Expert Faculties

Free Demo Class Available

Completed 800+ Batches

Certification Guidance

Group Discount

If you have Three or more people in your training we will be delighted to offer you a group discount.

Data Science Training in Singapore

Training Courses Reviews

I would like to highlight a few points about my association with Besant Technologies. The faculty members out here are super supportive. They make you understand a concept till they are convinced you have gotten a good grip over it. The second upside is definitely the amount of friendliness in their approach. I and my fellow mates always felt welcome whenever we had doubts. Thirdly, Besant offers extra support to students with a weaker understanding of the field of IT.

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Siva Kumar

When I joined Besant Technologies, I didn’t really expect a lot from it, to be extremely honest. But as time went by, I realised I got from Besant Technologies exactly what I wanted- a healthy environment for learning. Cordial teachers and their valuable lectures make understanding things so much easy. I thank Besant for having been so supportive throughout the course.

D

Daniel

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Frequently Asked Questions

Call now: +91-9707 250 260 and know the exciting offers available for you!

Besant Technologies offers 250+ IT training courses in more than 20+ branches all over India with 10+ years of Experienced Expert level Trainers.

  • Fully hands-on training
  • 30+ hours course duration
  • Industry expert faculties
  • Completed 1500+ batches
  • 100% job oriented training
  • Certification guidance
  • Own course materials
  • Resume editing
  • Interview preparation
  • Affordable fees structure

Besant Technologies is the Legend in offering placement to the students. Please visit our Placed Students List on our website.

  • More than 2000+ students placed in last year.
  • We have a dedicated placement portal which caters to the needs of the students during placements.
  • Besant Technologies conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
  • 92% percent placement record
  • 1000+ interviews organized

  • Our trainers are more than 10+ years of experience in course relavent technologies.
  • Trainers are expert level and fully up-to-date in the subjects they teach because they continue to spend time working on real-world industry applications.
  • Trainers have experienced on multiple real-time projects in their industries.
  • Are working professionals working in multinational companies such as CTS, TCS, HCL Technologies, ZOHO, Birlasoft, IBM, Microsoft, HP, Scope, Philips Technologies, etc…
  • Trained more than 2000+ students in a year.
  • Strong theoretical & practical knowledge.
  • Are certified professionals with high grade.
  • Are well connected with hiring HRs in multinational companies.

No worries. Besant technologies assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.

Besant Technologies provides many suitable modes of training to the students like

  • Classroom training
  • One to One training
  • Fast track training
  • Live Instructor LED Online training
  • Customized training

You will receive Besant Technologies globally recognized course completion certification.

Yes, Besant Technologies provides group discounts for its training programs. To get more details, visit our website and contact our support team via Call, Email, Live Chat option or drop a Quick Enquiry. Depending on the group size, we offer discounts as per the terms and conditions.

We accept all major kinds of payment options. Cash, Card (Master, Visa, and Maestro, etc), Net Banking and etc.

Please Contact our course advisor+91-9677 266 800. Or you can share your queries through info@besanttechnologies.com

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