Top 10 Data Science Courses In Jamaica With Placements

Today, data plays a vital role in decision-making. Big data, data analysis, and data science set the trend in business decision-making. Data science is gaining its ground in Jamaica at a rapid pace, especially in the field of education and digital transformation. Jamaica is an island country. The service sector contributed approximately 58% (2022) to the GDP of Jamaica. Tourism generates approximately 30% of GDP. The health sector is embracing data science and artificial intelligence to improve health care. Individuals looking to make a successful career in this domain can refer to this article to find out the top data science courses in Jamaica. 

Refer to the below-mentioned data science courses in Jamaica to achieve your dream career.

Difference between Data Science and Data Analysis

Data science and data analysis are closely related. The scope of data science is broad when compared to data analysis.

Creating models and algorithms for predicting the future are the focus points of Data science. The main tasks involved are data cleaning and data preparation, machine learning models and data cleaning, data preparation, machine learning models, and predictive algorithms.

Insights and predictive analytics play an important role in decision-making. Data analysis is more focused and specific.

Examination and interpretation of existing data to discover insights and trends. Data cleaning and visualisation, use of statistical tools for analysis, and reporting are the main tasks involved in data analysis.

Let’s quickly discuss the top data science courses in Jamaica that can play a vital role in the supply of data science professionals in Jamaica.

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1. IIM SKILLS

IIM SKILLS is one of the best data science courses in Jamaica that offers data science programs. The training is provided via live online classes.

You have an option to attend the demo class, and if you do not like the class, your money will be 100% refunded.

All the live classes are made available in LMS and can be accessed from anywhere. LMS access is for a lifetime.

The paid internship is part of the program. Profile building, resume building, and ten guaranteed interviews are part of the placement assistance program. It is one of the leading data science institutes in Jamaica.

 Data Science Master Course  Offered by IIM SKILLS:

Course	Fees	Duration
Data Science Master Courses	144020.40 JMD	11 Months + 2 Months Of Guaranteed Internship

 

Course Outline

Foundation To Data Science
	Introduction to Linear Algebra
	Matrices Operations
	Introduction to Statistics
	Measures of Central Tendencies
	Measures of Variance, Measures of frequency
	What are analytics and data Science?
	Business Analytics vs. Data Analytics vs. Data Science
	Common Terms in Analytics
	Analytics vs. Data warehousing, OLAP, MIS Reporting
	Types of data (Structured vs. Unstructured vs. Semi-Structured)
	Relevance of Analytics in Industry
	Critical success drivers
	Overview of analytics tools & their popularity
	Analytics Methodology & problem-solving framework.
	Stages of Analytics
Data Science Using SQL
	Basic RDBMS Concepts
	Data Types in SQL
	Example of Database design
	Types of relationship (Primary key & Foreign Key)
	Utilising The Object Explorer
	Introduction to SQL Server Management Studio
	Understanding basic Database concepts
	Getting started
	Data-Based Objects Creation
	Types of relationship (Primary key & Foreign Key)
	Drop & Truncate statements – Uses & Differences
	Alter Table & alter Column statements
	Data manipulation
	Select statement (Sub-setting, Filters, Sorting, and Removing)
	Duplicates, grouping and aggregations, etc.
	Where, Group By, Order by & Having clauses
	SQL Functions (Using Number, Text, Date, etc.)
	SQL Keywords (Top, Distinct, Null, etc.)
	Merging Data
	Union and Union All (Use and Constraints- A brief study)
	Intersect and Except statements
	Table Joins – inner join, left join, right join, full join.
	Sub-queries
	Optimising your work
Data Science Using Power BI
	Introducing Power BI
	Introduction to Power BI
	Installing Power BI Desktop (Signup for Power BI)
	Various Options in Power BI Desktop
	Views in Power BI Desktop
	ETL vs ELT
	Data Preparation and Modelling
	Connect and Retrieve data from different sources (With CSV, excel, etc.)
	Query editor in Power BI
	Power Query for cleaning the data
	Power Query Functions (Using Text, Date, and Numeric)
	Power Query Conditional Columns
	Clean & transform data (Query Editor)
	Work with relationships and cardinality.
	Combining data – Merging & Appending
	Types of Relationships (1:1, 1: Many, Many:1)
	Data Analysis Expressions
	Introduction to DAX
	Calculated tables, Columns & Measures
	Time Intelligence in DAX
	Reports Development
	Introduction to work (Power BI visuals)
	Reports Development in Power BI
	Working with Different Visuals /Charts
	Formatting Options in Reports
	Use a slicer to filter visualisations.
	Working with Filters (Using Page Level, Include/Exclude, Report Level, Cross report Filter)
	Download & use Custom Visuals (Gallery)
	Add an R or Python visual
	Work with key performance indicators.
Data Science Using Python
	Python Essentials (Core)
	Overview of Python- Starting with Python
	Why Python for data science?
	Anaconda vs. Python
	Introduction to installation of Python
	Introduction to Python IDE’s (Jupyter/Python)
	Concept of Packages – Important packages
	Installing & loading Packages and Name Spaces
	Data Types & Data objects/structures (strings, Tuples, Lists, Dictionaries)
	List and Dictionary Comprehensions
	Variable & Value Labels – Date & Time Values
	Basic Operations – Mathematical/string/date
	Control flow & conditional statements
	Debugging & Code profiling
	Python Built-in Functions (Text, numeric, date)
	User-defined functions – Lambda functions
	Overview of Pandas
	What are pandas, their functions & methods
	Pandas Data Structures (Discuss Series & Data Frames)
	Creating Data Structures (Data import – Detailed discussion on reading into Pandas)
	Operations With NumPy (Numerical Python)
	What is NumPy?
	Overview of functions & methods (NumPy)
	Data structures in NumPy
	Creating arrays and initialising
	Reading arrays from files
	Special initialising functions
	Slicing and indexing
	Reshaping arrays
	Combining arrays
	NumPy Maths
	Data Cleaning and Transformation
	Understand the data
	Using [] brackets
	Using functions
	Dropping rows & columns
	Mutation of table (Adding/deleting columns)
	Renaming columns or rows
	Sorting (by data/values, index)
	By one column or multiple columns
	Ascending or Descending
	Type conversions
	Setting index
	Handling duplicates /missing/Outliers
	Applying functions (All the variables in a data frame (broadcasting))
	Data Visualization with Python
	-Introduction to Data Visualization
	-Plotting with Matplotlib
	-Plotting with Seaborn
	-Visualizing geospatial Data (Maps with Marker)
	-Waffle Charts
	-Word Cloud
	-Regression Plots
	Data Analysis using Python
	Exploratory data analysis
	Descriptive statistics, Frequency Tables, and summarisation
	Uni-variate Analysis (Distribution of data & Graphical Analysis)
	Bi-Variate Analysis (Cross Tabs, Distributions & Relationships, Graphical Analysis)
	Linear Regression using SkLearn
	Accuracy Metrics (RMSE & MSE)
	Text Cleaning using Regex
	Sentiment Analysis using TexBlob
R For Data Science
	Data Importing/Exporting
	Introduction R/R-Studio – GUI
	Concept of Packages – Useful, Base, and Other packages
	Data Structure & Data Types (Vectors, Matrices, Factors, Data frames, and Lists)
	Importing Data from various sources
	Exporting Data to various formats
	Viewing Data (Partial data and full data)
	Variable & Value Labels – Date Values
	Data Manipulation
	Creating New Variables (calculations & Binning)
	Dummy variable creation
	Applying transformations
	Handling duplicates/missing’s
	Sorting and Filtering
	Sub-setting (Rows/Columns)
	Appending (Row/column appending)
	Merging/Joining (Left, right, inner, full, outer)
	Data type conversions
	Renaming & Reshaping
	Control Structures (if, if else)
	Loops (Conditional, iterative loops)
	Aggregation/Summarization
	Data Analysis using R
	Introduction exploratory data analysis
	Descriptive statistics, Frequency Tables and summarization
	Uni-variate Analysis (Distribution of data)
	Data Visualization with R
	Basic Visualization Tools
	Bar Charts/Histograms/Pie Charts
	Scatter Plots
	Line Plots and Regression plot
	Word Clouds
	Box Plots
	Visualisation using GGplot
	Statistical Methods & Hypothesis Testing using R
	– Discrete and continuous distributions
	– What is a probability distribution?
	– Important distributions (discrete & continuous distributions)
	– Normal distributions and properties A Deep Dive (Central Limit Theorem)
	– Concept of Hypothesis Testing
	– Statistical Methods – Z/T-Tests, ANOVA, Correlation and Chi-square
	Linear Regression using R
	Introduction – Applications
	Assumptions of Linear Regression
	Building Linear Regression Model
	Understanding standard metrics
	Interpretation of Results
Statistics in Data Science
	Random Variable
	Probability
	Probability distribution
	SND
	Expected Value
	Sampling funnel
	Sampling Variation
	Central Limit Theorem
	Confidence Interval
	Linear Regression
	Logistic Regression
	Forecasting
	Time Series
Data Science (AI & ML)
	Machine Learning Concepts (46 Hours)
	Hypothesis Testing
	Supervised Machine Learning
	Support Vector Machines (SVM)
	Linear Regression
	Logistic Regression
	K-Nearest Neighbours (KNN)
	Gradient Boosting Machines (GBM)
	Discriminant Analysis (Linear Discriminant and Quadratic Discriminant Analysis)
	Support Vector Regression (SVR)
	Recursive Feature Elimination (RFE)
	Model Validation Techniques
	Parameter and Hyper Parameter Tuning
	Ensemble Techniques (Bagging, Random Forest, Boosting)
	Regularisation Techniques
	Naive Bayes
	Forecasting
	Unsupervised Machine Learning
	Clustering Algorithms (e.g., K-Means, Hierarchical Clustering)
	Dimensionality Reduction Techniques (PCA)
	AI-Deep Learning
	Multilayer Perceptron (MLP)
	Neural Networks
	CNN
	RNN

 

Phone: +91 9580 740 740

Email ID: Info@iimskills.com

Website: https://iimskills.com/

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2. The University of West Indies

The University of West Indies provides data science courses in Jamaica. The course aims to supply a pool of data science graduates to fill positions in different fields.

The course is designed to provide not only theoretical concepts but also experience and real-world knowledge.

The candidates will be able to apply and develop new skills required in the data-driven decision-making process. It is considered one of the data science institutes in Jamaica.

Eligibility criteria:

Degree from an accredited University (in Natural, Applied, or Social Science)

Candidates from other disciplines who demonstrate quantitative coursework

Course Outline

Programme Structure (42 Credits)

Comp4217 Database Management Systems

Comp4610 Statistics for Data Science

Comp4620 Programming Principles

Comp4621 Programming for Data Science

Comp5630 Data Visualization

Comp6720 Advanced Databases

Comp6115 Knowledge Discovery and Data Analytics 1

Comp6120 Knowledge Discovery and Data Analytics 2

Comp6130 Big Data Analytics

Comp6815 Data Science Seminar

Comp6830 Data Science Capstone Project II

Plus 4 Credits of MSc Computing Electives.

Course name: MSc. in Applied Data Science

Certification: Yes

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3. Unichrone

Unichrone is one of the data science institutes that offer data science courses in Jamaica. The course aims at skilling candidates with expertise and abilities to succeed in the world of data science.

The data science institutes in Jamaica are imparted online by instructors from the industry with tons of experience.

Machine Learning, Big Data Analytics, and predictive modelling are the main skills covered in the course.

Course outline

Module 1: Python for Data Analysis (With NumPy)

Introduction to NumPy

NumPy Arrays

Aggregations

Computation on Arrays: Broadcast

Comparison, Boolean Logic, and Masks

Fancy Indexing

Sorting Arrays

NumPy’s Structured Arrays

Module 2: Python for Data Analysis (With Pandas)

Installing Pandas

Pandas Objects

Data Indexing and Selection

Operating on Data in Pandas

Handling Missing Data

Hierarchical Indexing

Concat and Append

Merge and Join

Aggregations and Grouping

Pivot Tables

Vectorised String Operations

Working with Time Series

Eval() and Query()

Module 3: Python for Data Visualization (With Matplotlib)

Overview

Object-Oriented Interface

Two interfaces

Simple Line Plots and Scatter Plots

Visualising Errors

Contour Plots

Histograms, Binnings, and Density

Customizing Plot Legends

Customizing Color Bars

Multiple Subplots

Text Annotation

Three-Dimensional Plotting

Module 4: Python for Data Visualization (With Seaborn)

Installing Seaborn and Load Dataset

Plot the Distribution

Regression Analysis

Basic Aesthetic Themes and Styles

Difference between Scatter Plots, Hexbin Plots, and KDE Plots

Use Boxplots and Violin Plots

Use Cases of Swarn Plots, Bar Plots Strip Plots, and Categorical Plots (A Comparison)

Recalling Use Cases and Features of Seaborn

Module 5: Machine Learning

Introduction

Importance

Types

How Machine Learning Works?

Machine Learning Mathematics

Course name: Advanced Data Science Training

Certification: Yes

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4. The Knowledge Academy

The Knowledge Academy is one of the most versatile data science institutes in Jamaica that offer data science programs.

Founded in 2009, the objective of the institute is to supply skilled professionals who can succeed in the data science domain.

It offers one of the best data science courses in Jamaica, where the candidates can choose from class-based, live online, and on-demand learning.

Course Outline

Module 1: Introduction to Data Science

What is Data Science?

Types of Data

Data Science Pipeline

Module 2: Understanding Data Wrangling

Data Wrangling Workflow

Data Acquisition

Five Steps of the Data Collection Process

Data Enriching

Data Cleansing

Module 3: Data Analysis

Data Analysis within Business

Confirmatory Data Analysis

Exploratory Data Analysis

Data Analysis Files

Module 4: Data Mining

Introduction to Data Mining

Common Classes of Tasks under Data Mining

Regression Analysis

Module 5: Understanding Data Visualization

Introduction to Data Visualization

Six Principles of Data Visualization

Elements of Data Visualization

Psychology of Charts

Module 6: Data Manipulation

Data Manipulation Overview

Types of Structuring Involved in Data Manipulation

Intrarecord Structuring

Interrecord Structuring

Module 7: Working on Large Amounts of Data

What is Big Data?

Different Devices and Applications

Fundamentals of Big Data

3 V’s

Sources of Big Data

Data Tools

Structure

Sampling

Methods of Sampling

Chunking Principles

How Big Should Data Chunks Be?

Course name: Data Science Analytics

Certification: Yes

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5. Imarticus Learning

Imarticus Learning is an ed-tech company that offers data science courses in Jamaica. The course is curated to load candidates with the skills to excel in real-world scenarios in the data science field.

Other key features of one of the leading data science institutes in Jamaica are 100% job assurance, profile building, resume building, preparation for interviews, career mentoring, and ten guaranteed interviews.

Course Outline

Foundation: Basics Programming for no-programming knowledge

Foundation: Principles of data science, machine learning, and Python programming

Excel

SQL

Python Programming

Statistics for Data Science

Machine Learning

Data Visualization with Tableau and Power BI

Tableau – Part 1

Tableau – Part 2

Project – Mortgage Analysis

Power BI – Part 1

Project – Stock Data Analysis

Exam – Tableau and Power BI Exam

Capstone Project 1 Allocation (ML-based)

Specialisation Track

Specialisation 1 – Advanced ML Track

Specialisation Track

Capstone Project

Specialisation Track

Career Services

Specialisation Track

Integrated Skills for Professional Excellence

Specialisation 2: Data Analytics & Track in Machine Learning

Specialisation Track

Capstone Project

Specialisation Track

Career Services

Specialisation Track

Integrated Skills for Professional Excellence

Course name: Data Science And Analytics, A Postgraduate Program

Course duration: 6 months

Certification: Yes

6. University of Technology (UTECH)

University of Technology (UTECH) is one of the popular data science institutes in Jamaica that offers data science training programs.

The data science courses in Jamaica are designed for professionals who want to gain deep knowledge in the field of data science.

The data science courses in Jamaica are best suited for IT professionals and engineers. During the course, the candidates are required to complete a capstone project that will be useful in real-world data science situations.

Course Outline

Core Courses

Data Mining and Machine Learning

Big Data Analytics

Statistical Methods for Data Science

Data Visualization

Database Systems and Technologies

Elective Courses

Advanced Machine Learning

Natural Language Processing

Deep Learning

Data Security and Privacy

Cloud Computing for Data Science

Course name: Data Science, A Master of Science

Course duration: 2 years

Certification: Yes

7. Datamites

Datamites provides data science courses in Jamaica. The course is fabricated to make candidates specialists in data science. The training is provided in real time.

Datamites is one of the best data science institutes in Jamaica that offers cost-effective and qualitative training that transforms the candidates into a data science professional who is expert in data-driven decision-making.

The training team consists of experts from various domains.

Key Features of the Course

Live virtual classes

Instructor-led

25 Capstone

1 Client Project

Cloud Lab

Internship

Job Assistance

Course Outline

DATA SCIENCE FOUNDATION

Module 1: Data Science Essentials

Module 2: Data Science Demo

Module 3: Analytics Classification

Module 4: Data Science and Related Fields

Module 5: Data Science Roles & Workflow

Module 6: Machine Learning Introduction

Module 7: Data Science Industry Applications

PYTHON FOUNDATION

Module 1: Python Basics

Module 2: Python Control Statements

Module 3: Python Data Structures

Module 4: Python Functions

STATISTICS ESSENTIALS

Module 1: Overview of Statistics

Module 2: Harnessing Data

Module 3: Exploratory Data Analysis

Module 4: Hypothesis Testing

MACHINE LEARNING ASSOCIATE

Module 1: Machine Learning Introduction

Module 2:  Python Numpy Package

Module 3:  Python Pandas Package

Module 4: Visualization With Python – Matplotlib

Module 5: Python Visualization Package – Seaborn

Module 6: ML Algo: Linear Regression

Module 7: ML Algo: Logistic Regression

Module 8: ML Algo: K Means Clustering

Module 9: ML Algo: Knn

MACHINE LEARNING EXPERT

Module 1: Feature Engineering

Module 2: Machine Learning Algo: Support Vector Machine (SVM)

Module 3: Principal Component Analysis (PCA)

Module 4:  Ml Algo: Decision Tree

Module 5: Ensemble Techniques – Bagging

Module 6: Ml Algo: Naïve Bayes

Module 7: Gradient Boosting, Xgboost

ADVANCED DATA SCIENCE

Module 1: Time Series Forecasting – Arima

Module 2: Sentiment Analysis

Module 3: Regular Expressions With Python

Module 4:  Ml Model Deployment With Flask

Module 5: Advanced Data Analysis (Using MS Excel)

Module 6:  Aws Cloud for Data Science

Module 7: Azure for Data Science

Module 8:  Introduction to Deep Learning

DATABASE: SQL AND MONGODB

Module 1: Database Introduction

Module 2:  SQL Basics

Module 3: Data Types and Constraints

Module 4: Databases and Tables (Mysql)

Module 5: SQL Joins

Module 6: SQL Commands and Clauses

Module 7: Document Db/no-SQL Db

GIT

Module 1: Git Introduction

Module 2: Git Repository and Github

Module 3: Commits, Pull, Fetch and Push

Module 4: Tagging, Branching and Merging

Module 5: Git With Github and Bitbucket

BIG DATA FOUNDATION

Module 1: Big Data Introduction

Module 2: HDFS and Map-Reduce

Module 3: Pyspark Foundation

Module 4: Spark SQL and Hadoop Hive

BI ANALYST

Module 1: Tableau Fundamentals

Module 2:  Power-BI Basics

Module 3: Data Transformation Techniques

Module 4: Connecting to Various Data Sources

Course Name: Certified Data Scientist

Certification: Yes

8. ExceIR

ExcelR offers one of the best data science courses in Jamaica. It is one of the leading data science institutes in Jamaica that trains candidates in online mode.

It imparts training in over 40 countries. The course is curated for theoretical concepts and practical knowledge. The course aims to provide future leaders in the data science domain.

Course Outline

Module 1 – Statistical Analysis

Module 2 – Hypothesis Testing

Module 3 – Linear and Logistic Regression

Module 4 -EDA

Module 5 – Unsupervised ML Algorithms

Module 6 – Machine Learning Models

Module 7 – Neural Network

Module 8 – Bagging and Boosting

Module 9 – Text Mining

Module 10 – Forecasting

Core Python

Module 11 – Introduction

Module 12 – Variables

Module 13 – Code Practice Platform

Module 14 – Operators, Loops & String

Module 15: List, Tuples, and Dictionary

Module 16: Function & Modules

Module 17: Files & Directories

Module 18 – Exception Handling

Module 19 – OOP

Module 20 – Regular Expressions

Module 21 – SQLite and MySQL

Tableau

Module 22 – Tableau Products and Usage

Module 23 – Charts on Tableau

Module 24 – Filters and Calculations

Module 25 – Data Combining Techniques

Module 26 – Grouping the data

Module 27 – Analytics & Dashboard

MySQL

Module 28 – Introduction to Mysql

Module 29 – SQL Commands

Module 30 – DQL Operators

Module 31 – Functions

Module 32 – Constraints

Module 33 – Joins

Module 34 – SQL Concepts

Artificial Intelligence

Module 35 – Neural Network & Deep Learning (Introduction)

Module 36 – Parameter & Hyperparameter

Module 37 – CNN

Module 38 – RNN

Big Data Tools

Module 39 – Hadoop

Module 40 – Spark & Data Bricks

Module 41 – Azure

Basics of R

Module 42 – R and RStudio

ChatGPT

Module 43 – ChatGPT

Course Name: Data Science Certification Course

Course duration: 6 months

Certification: Yes

9. UpGrad

UpGrad is one of the premium data science institutes in Jamaica that offers one of the well-recognised data science courses in Jamaica.

The course is curated to transform candidates into leaders in data-driven decision-making. The training team consists of industry experts with extensive experience.

Program Outline

Core Modules

Data Toolkit

Machine Learning – 1

Capstone Project

Specialised Tracks

Track 1 – Deep Learning

Track 2 – Natural Language Processing

Track 3 – Business Analytics

Track 4 – Business Intelligence/Data Analytics

Track 5 – Data Engineering

Course duration: 24 months

Certification: Yes

10. Udemy

Udemy is a trendsetter as an e-learning institute. They provide data science courses in Jamaica.

The course is designed so that candidates with little or no data science knowledge can excel in this field.

The course is designed in such a way that after the completion of the course, the candidates are competent enough in decision-making abilities.

Along with other parts of the world, Udemy is one of the leading data science institutes in Jamaica as well.

Course Outline

Welcome

Review

Preliminaries: From Neurons to Neural Networks

Classifying more than two things

Training a neural network

Practical Machine Learning 10 lectures

Learn TensorFlow, exercises, and practice.

Project: Facial Expression Recognition

Backpropagation Supplementary Lectures

Higher-Level Discussion4 lectures

Extra Mile in Python Coding for Beginners

Appendix / FAQ Finale

Course Name: Data Science (Deep Learning and Neural Networks in Python)

Certification: Yes

Frequently Asked Questions

1. After completion of the data science course, what can I become?

Data Scientist

Data Analyst

Business Analyst

Business Intelligence Specialist

Business Analytics Professional

Analytics Manager

Data Science Consultant

Machine Learning Engineer

2. How much can one earn as a data science professional in Jamaica?

The median earning of a data science professional in Jamaica is around JMD 4 730,828 per annum.

3. Is there any scope for data science professionals in other countries after completing the above-mentioned data science courses in Jamaica?

Yes, the curriculum in data science courses in Jamaica is at par with other data science institutes, training candidates in other parts of the world. You can be a part of any business or multinational company across the globe.

Conclusion:

In a nutshell, we can conclude that the data science courses in Jamaica offer complete training in the data science field. The program designed by the above data science institutes upskills students with much-needed skills and expertise for data drive roles in the data science domain. It would only enhance their skills and should help new entrants and existing data science professionals’ careers to a new height.