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Top 11 Data Analytics Courses in Grenada With Placement

Empower your future with Data Analytics to avail yourself of promising opportunities in the field of data science. Equip yourself with the necessary skills, learn to gather data from various sources, the process of how to clean and organize it, and the substantial use of statistical techniques and software tools to analyze trends and patterns within the data for unlocking the findings of customer behavior, identifying opportunities, and solving problems by joining extensive data analytics courses in Grenada. Read below the detailed guide.

DATA ANALYTICS COURSES IN GRENADA

The Tools Used in Data Analysis

Various tools are used in importing, inspecting, collecting, and validating big data. A few are mentioned below:

  • R programming
  • Tableau Public
  • QlikView
  • RapidMiner
  • KNIME
  • Excel
  • SAS
  • Python
  • Splunk
  • Apache Spark

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Top 11 Data Analytics Courses in Grenada With Placements

1. IIM SKILLS

IIM SKILLS brings to learners a strong pedagogy of world-class expert trainers for data analytics courses in Grenada helping students to understand and learn about this transforming world of data science.

IIM SKILLS combines learning tools with a hands-on approach to prepare and equip students with knowledge and essential skills from basics to advanced techniques.

 

IIM SKILLS enables learners to gain in-depth practical experience through case studies and projects. Such training increases students’ confidence to successfully face real-time challenges on the job. The data analysis course includes interview preparation and placement assistance.

The Core Modules of IIM SKILLS Data Analytics Program

Module NameImportant Topic
Module 1: Basic and Advance Excel
Introduction to Data Handling
Data Manipulation Using Functions
Data Analysis and Reporting
Data Visualization in Excel
Overview of Dashboards
Module 2: Visual Basic Application
Introducing VBA
How VBA Works with Excel
Key Components of Programming Language
Programming Constructs in VBA
Functions & Procedures in VBA
Objects & Memory Management in VBA
Error Handling
Controlling Accessibility of Your Code
Communicating with Your Users
Module 3: SQL
Basics RDBMS Concepts
Utilizing the Object Explorer
Data Based Objects Creation (DDL Commands)
Data Manipulation (DML Commands)
Accessing Data from Multiple Tables Using SELECT
Optimizing Your Work
Module 3.1: SQL Server Reporting Services
Basics of SSRS
Creating Parameters
Understanding Visualization
Creating Visualization Using SSRS
Module 3.2: SQL Server Integration Services
Understanding Basics of SSIS
Understanding Packages
Creating Packages to Integrate
Creating Project Using SSIS
Module 4: Power BI
Introduction
Data Preparation and Modeling
Data Analysis Expressions (DAX)
Reports Development (Visuals in Power BI)
Module 5: Data Analytics Using Python
Introduction to Basic Statistics
Introduction to Mathematical Foundations
Introduction to Analytics & Data Science
Python Essentials (Core)
Operations with NumPy (Numerical Python)
Overview of Pandas
Cleansing Data with Python
Data Analysis Using Python
Data Visualization with Python
Statistical Methods & Hypothesis Testing
Module 6: Tableau
Getting Started
Data Handling & Summaries
Reports Development (Visuals in Tableau)
Module 7: R For Data Science
Data Importing/Exporting
Data Manipulation
Data Analysis
Using R with Databases
Data Visualization with R
Introduction to Statistics
Linear Regression: Solving Regression Problems
Module 8: Alteryx
Overview of the Alteryx Course and Fundamental Concepts
Using the Select Tool to Rename Fields, Change the Data Type
Understanding the User Environment and Alteryx Settings
Filtering Data/Data Processing
Blending/Joining Data from Different Sources
Data Cleansing
Impute Values
Random Sample

 

By the end of the course, students will acquire key skills like SQL concepts in Excel, such as the SQL command, the query tool, and the Python command concept, including the nuances of lists, sets, complements, branches, dictionaries, objects, nymph, Programming statement, Tableau workspace.

Course Details

Name: Data Analytics Course

Duration: 6 Months Of Training + 2 Months Internship (optional)

Fees: 1618.73 East Caribbean Dollars + Taxes

EMI: Interest Free

Certification: Yes

Other Professional Courses from IIM SKILLS

The Key Features of the IIM Skills Data Analytics Program

  • 6 Months Course
  • 2 Months Non-Paid Internship
  • 160 Hours of Lectures
  • 100+ Hours Practical Assignments
  • Hands-On Tool Based Learning
  • 7+ Live Projects
  • 10+ Case Studies
  • Master 7+ Tools
  • Interview Guarantee
  • Lifetime access to LMS
  • Flexible hours of study

Course Fees

1616 XCD + 18% GST

Contact information

+91 9580740740

[email protected]

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2. University of the Commonwealth Caribbean

The University of the Commonwealth Caribbean is the leading data analytics Institute in Grenada offering a bachelor’s degree in data which is an important discipline that guides business decision-making.

In a rapidly growing world of data, this innovative program is effective, transformative, and valuable for all relevant stakeholders who depend on data for their business operations.

The data analytics courses in Grenada have Mathematics, statistics, machine learning, and computer science as a combination of subjects within this discipline.

Students in this data analytics training program in Grenada are introduced to data visualization, database systems, data analysis, data mining, and computer programming and learn how to manage, manipulate, interpret, and understand data.

In addition, this program provides a better understanding of algorithmic reasoning and the computing skills needed to analyze data.

Graduates of the Bachelor of Science program will acquire essential skills needed for careers in the following fields. This can be reduced by up to two years if the student achieves a relevant research associate degree or equivalent qualification.

Degree Type

Bachelor of Science

Delivery Modality

Blended

The Curriculum of the Program

Module – 1

  • Introduction to Data Science and
  • Introduction to Natural Language
  • Processing and Deep Learning
  • Introduction to Data
  • Science and Programming
  • Calculus
  • Programming Techniques
  • Computer Information
  • Discrete Mathematics
  • Mathematical Methods
  • Data Visualization and Data-Driven
  • Decision-Making
  • Introduction to Data
  • Science and Programming
  • Computer Data Analysis
  • Python Programming
  • Programming Techniques
  • Machine Learning and Data Science

Module 2

  • Capstone Project
  • IT Capstone Project
  • Capstone Project
  • Calculus II MTH103 Calculus
  • Introduction to Cryptography
  • Database Management Systems
  • Linear Statistical Modelling with
  • R programming
  • Computer Data Analysis
  • Database Management
  • Technical Writing for Digital Media
  • Discrete Mathematics

Module 3

  • Algorithms and Machine Learning Python Programming
  • Statistical Modeling and Inference
  • Linear Statistical
  • Modeling with R programming
  • Bayesian Modelling
  • Stochastic Optimisation
  • Machine Learning and
  • Communication and Networks
  • Malware Analysis and Reverse Engineering
  • Digital Forensics
  • Network Services Fortinet

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3. Constructor University

Join a leading data analytics institute in Grenada to complete the 2-year master’s program Data in Society and Business (DSSB) which is a highly selective program for business and social science students who want to become data science experts.

The program is also of great interest to students who wish to use their strong quantitative background to expand into big data analysis. During the systematic data analysis training program in Grenada, graduates get a cut of state-of-the-art tools and methods to discuss, model, anticipate, and solve the pressing challenges of digital societies, modern organizations, and competitive businesses.

A truly interdisciplinary program that combines a wide range of courses from several areas of social and data science into three elective courses that allow individual variation and specialization.

Why choose Constructor University Data Analytics Institute in Grenada?

  • An innovative interdisciplinary program with elective tracks for individuals
  • A cutting-edge demanding academic program with access to material.
  • Authentic Mentorship to Students.
  • Aim at employability and preparation for the demanding career paths in all areas of a data-driven professional.
  • DSSB graduates are best prepared for fast-growing, global professional and academic

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4. Data Science Institute

The MSc in Data Analytics courses in Grenada are designed to develop skills and knowledge in mathematics, statistics, and programming, and to provide career opportunities for those who wish to develop their academic, practical, research, and critical skills in the field of data science.

As a result, students develop all the skills that organizations in many industries and sectors require from data scientists worldwide. The MSc is worth 90 ECTS degree credits under the European Qualifications Framework and consists of ten modules covering core skills and knowledge, culminating in a 30-credit degree major project.

The course combines self-paced learning with scheduled live online lectures and exam preparation tutoring. All students receive a supervisor for their capstone project.

In this data analytics training program in Grenada, students will gain mathematical and statistical knowledge besides the understanding needed for simple to complex data analysis. Develop skills in R, Python, and SQL programming languages.

The Key Highlights of the Program

  • Attain a comprehensive understanding of classical data analysis and data reduction.
  • Explore next-generation machine learning techniques and apply them to business and other problems to find alternatives and solutions.
  • Understand, evaluate, and apply data science and analytics in business and organizational contexts.

The Curriculum Content

  • Basic Excel functions
  • Advanced Excel Functions,
  • Lookup, VLookup & HLookup
  • Dashboard using Power BI Tools
  • Toolbar, Grouping/Ungrouping
  • MS Access
  • SQL using SQL Server
  • SQL Fundamental
  • Python
  • R programming

 

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5. Cuny Schools of Professional Study

The MS in Data Analytics Courses in Grenada, offered by the Cuny School of Professional Studies, is an online degree program that helps students earn credentials and gain the skills needed to enter or advance in the rapidly growing field of data science.

It was ranked as one of the best online master’s programs in the country by Fortune magazine for its innovative and holistic approach to providing fundamental knowledge and practical programming skills to the students that result in project-based work samples that are in high demand in the market.

This Data Analytics Institute in Grenada covers the learning goals of the program and demands practical courses that are well-designed with the employer in mind, according to the needs of the industry.

Apart from this, The comprehensive data analytics courses in Grenada will help students build predictive and prescriptive models, and practice presenting and evaluating each other’s work in a convenient online environment.

The program culminates in a capstone project that provides highly complex yet practical solutions to real-world problems. In addition, the program’s faculty consists of committed and dedicated technology professionals who are experts in their fields. They invest time to create courses using open-source best practice tools that meet the employer’s high-quality standards and use advanced technologies.

The Modules Cover a Broad Range of Curricula in the Data Analytics Training Program in Grenada

  • Probability and statistics
  • Descriptive statistics
  • Sampling techniques
  • Discrete probability models
  • Statistical distributions
  • Correlation and null hypothesis testing
  • Applied maths
  • Matrix manipulation
  • Linear equations and loss functions
  • Creating, testing, and optimizing regression, and Bayesian models using R and Python
  • Data acquisition and management
  • Acquiring data frames
  • Normalizing and manipulating data via SQL
  • Critical thinking and communication
  • Framing real-world phenomena as quantitative representations
  • Explaining results in simple and cogent language

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 6. ISDC Learning

The Certificate in Data Analytics Courses in Grenada from ISDC is an IoA Endorsed Programme. The program curriculum on Data Analytics comprises 6 modules namely, Python Programming, Big Data Analytics, Deep Learning and Cloud Computing, Machine Learning, Artificial Intelligence, and Natural Language Processing.

Their faculty members address the need to propel information-gathering and exploit potential information and knowledge hidden in routinely collected data to improve decision-making. Students will have the opportunity to gain a deep understanding of the data technology and practices adopted within the business intelligence and analytics practices.

 

Hours of Learning

240 Hours

Duration

One Year

Mode of Learning

Online

Fees

£ 300

The Key Highlights of the ISDC Data Analytics Training Program in Grenada

  • Access to Our Web Portal Compromising the Latest Analytics News.
  • Networking Opportunities with Like-Minded Professionals.
  • Annual & Regional Conference.
  • Access to Our Online CPD Log with access to record any development activities.
  • Membership at the time of Enrollment and Upgradation to IoA Associate Membership after Completion of the program.

The Core Module of the Curriculum

  • Module 1: Python Programming
  • Module 2: Big Data Analytics
  • Module 3: Natural Language Processing
  • Module 4: Machine Learning and Artificial Intelligence
  • Module 5: Deep Learning
  • Module 6: Cloud Computing

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7. CloudKampus

CloudKampus is the best online data analytics Institute in Grenada, known for its interactive certified programs and work-based courses. These courses, facilitate students with relevant skills for specific jobs in various industries as well as guide hands-on training and direct exposure to real-world job requirements/demands for students while working on projects in each module.

During the data analytics training program in Grenada, they help students apply for internships and job opportunities after they have completed the programs. The duration of the program is 80-100 hours, which includes at least 16 hours of projects.

The course introduces the roles and responsibilities of a data analyst and provides the conceptual understanding and programming skills necessary to become an excellent data communicator. It introduces Python, SQL, Talent, and Tableau, programming languages, and applications to the future data analyst.

Classes: 80 hours

2 hrs per day

Projects: 16 hours

Mode: Live- Instructor-Led Program

What Will You Gain Upon Completion of Cloudkampus Data Analytics Courses in Grenada?

  • Python data structures and programming fundamentals
  • Basics to use Pandas and Matplotlib
  • Obtain invaluable insight into various Languages in SQL
  • Create Constraints and work with Multiple tables
  • Design a Business Model
  • Create reports with Tableau.

Module 1

  • Python for Data Science and Data Analytics
  • Python basics
  • Libraries and Python Data Structures
  • Python Programming Fundamentals
  • Pandas library for data science
  • Matplotlib for data visualization

Module 2

  • Tableau for Business Intelligence
  • Visual Analytics
  • Data Visualization
  • Tableau prep builder tool
  • Tableau UI components
  • Geographic Visualizations in Tableau
  • Advanced charts in Tableau Desktop

Module 3

  • Machine Learning with Python
  • Introduction to Machine Learning
  • Classification algorithm
  • Unsupervised learning algorithm
  • Regression algorithm
  • Recommender System

Module 4

  • Essentials of SQL
  • Introduction
  • Data Definition Language
  • Data Manipulation Language
  • Data Control Language
  • Data Query Language
  • Transaction Control Language

8. Simplilearn

Data Analytics Courses in Grenada offered by Simplilearn in collaboration with IBM will equip you with knowledge of Data Analytics. This data analytics Institute in Grenada is led by trainers who are experts in this growing field, starting with leading analytical techniques and tools.

The skills acquired during the student’s study period include analysis, statistics prediction, working with SQL databases, Python, and R, and data visualization tools in the business domain.

Furthermore, the well-structured data analytics courses in Grenada focus on the non-technical workforce so that students understand the technical aspects and understand the basic concepts of mathematics and its application.

The teaching method facilitates learners with knowledge of data analytics through CloudLab demos and projects and after completing this data analytics training program in Grenada, you will become certified in data analytics with the all key skills that are in Excel in SQL concepts such as Universal Query Tool and SQL command, code in Python for variables, strings and using functions.

On top of this, students will be able to gather an understanding of details, conditions, and branching of Python lists, storing data with Panda. Along with this idea, data transformation in Python using NumPy multidimensional arrays, implementation of learning using Scikit-Learn, and Python data visualization libraries including Matplotlib, Seaborn, and Folium knowledge will also be provided to students.

Course Duration

 11 Months

The Core Syllabus of the Course

  • Data cleaning and Preparation
  • Conditional Formatting
  • Spotlight
  • Analyzing Data with Pivot Tables
  • Dashboarding
  • Data Analysis Using Statistics
  • Introduction to SQL
  • Operators Constraints
  • Functions in SQL
  • Performance Optimization
  • Triggers in SQL

The Key Takeaways from the Course

Top-notch Data Analyst course curriculum

8X higher live interaction

Capstone Projects

Course Fees 

  1. 70 XCD

9. Intellipaat

Check out IIT Madras Online Course in Data Analytics Courses in Grenada through Comprehensive hands-on training led by Intellipaat Institute, which provides live projects and simulations. Such a detailed data analysis course has helped students find employment in many different companies.

Intellipaat’s trainers are industry-specific company professionals who offer in-depth knowledge of Data Analytics. This program introduces the learner to up-to-date data analysis tools including Presto, R Studio, and SQL.

Through real-time projects and case studies, lecturers help you gain valuable analytical skills. After successful completion of the course, the student will receive a certificate from IIT Madras, which will strengthen the knowledge of the field and give wings to advance in the career of a data analyst.

The following skills that students will acquire after completion of the course are Excel, Data wrangling with SQL, Presto Introduction to Data Science and Statistical analysis for Business problem solving, optimization techniques, predictive modeling, machine learning techniques, data science execution, and master projects.

The Curriculum of this Programme

  • Data Transformation using MS Excel and Python
  • Business Problem Solving, Insights and Storytelling
  • KNIME
  • Statistics and Machine Learning using R Programming
  • Predictive Modeling
  • Time-Series Forecasting
  • Feature Engineering
  • Business Case Studies
  • Visualization using Power BI

The Highlights of the Course

  • 50+ Live sessions
  • 218 Hrs Self-paced Videos
  • 200 Hrs Projects
  • Learn from IIT Madras Faculty
  • One-on-one Mentorship
  • Resume Preparation
  • 24*7 Support

Course Fees

3,241.29 XCD

 

10.Besant Technologies

The outstanding Data Analytics courses in Grenada offered by industry experts at Besant Technologies help participants become familiar with data analysis and equip them with necessary skills such as regression analysis, hypothesis testing, and descriptive and inferential statistics.

Students will gain experience using tools and techniques such as Excel, R, SAS, Tableau, Python, and SQL will position them for a data analytics role upon completion of the course.

This well-structured data analytics course is rigorously designed by data analytics professionals to give your career a new direction and help increase your professional achievement.

The Major Skills students acquire in the data analysis course include Data Visualization, MATLAB, R, Python, SQL, and NoSQL.This data analytics course requires a good knowledge of programming languages ​​such as R and SAS, strong communication skills, and extensive experience with Excel, business intelligence, and Hadoop.

The Course Content of this Programme

  • Counting, Probability, and Probability Sampling Distribution
  • Estimation and Hypothesis Testing
  • Scatter Diagram
  • Anova and Chi-Square
  • Imputation techniques
  • Correlation and Regression
  • The Concatenation Functions
  • Absolute Cell References
  • Conditional formatting
  • Oracle Database
  • Invoke Conversion Functions
  • Learn to Restrict and sort Data
  • Microsoft SQL Server
  • Creating Hierarchies
  • String Operation in Python

The Key Features of the Course

  • 100+ hours of Practical learning
  • 6 industry projects
  • Lifetime access to class recording
  • 100% placement- oriented class
  • Unlimited interview opportunity
  • Certification of data analytics course including lab session
  • Global partner with top MNCs

11. Uniathena

The Uniathena comprehensive data analytics courses in Grenada will teach the students to leverage data for important decision-making relating to all business processes and present valuable insights about data analytics which nourish the students with statistical and analytical presentation.

In addition to this, students will learn how to use various sources of data, including big data with analytical tools and techniques, to improve overall performance.

This course covers the methods, issues, and challenges associated with business data analysis. It illustrates the processes of analysis, enabling students to apply business analysis algorithms and methods to solve business problems as well as provides the basics to advance level understanding of data and various tools that can be used to analyze data and make in-depth decisions.

Students will gain knowledge about cutting-edge technologies such as big data that allow companies to analyze vast amounts of data which eventually make them experts in handling business analytics and practice how to use it to make effective decisions.

Content

Free Learning

Certification (Paid)

Content

Self-Paced

The Course Content

  • Basic Excel functions
  • Advanced Excel Functions,
  • Lookup, VLookup & HLookup
  • Dashboard using Power BI Tools
  • Toolbar, Grouping/Ungrouping
  • MS Access
  • SQL using SQL Server
  • SQL Fundamental
  • Python
  • R programming

FAQs

1. How to become a Data Analyst or Data Scientist in Grenada?

Join any Data analytics courses in Grenada to get a degree/diploma/certificate in Data Analytics professional and acquire all the necessary skills.

2. Which degree would be best for data analysis?

A degree in mathematics, statistics, economics, or computer science would be the best educational background in the field of data analysis.

3. Is there a requirement for data analysis?

The accelerated digitization of every process has increased the demand for data analysis that bridges the gap between business and profit and creates an impressive data solution.

Conclusion

No department or industry does not need a data analyst. Every organization and company depends on data to make important business decisions, from analyzing the latest trends in the market, creating new markets, looking for investment opportunities, or attracting new customers, they need data analysts to explore all available data and information.

Author:
Hello! I am Shruti Singh, a girl born in Jharkhand, presently living in Howrah (West Bengal), a simple graduate with a Bachelor of Science, currently preparing for competitive entrance exams. There is no such achievement I have made to be mentioned here, but I am making constant efforts to not let the rest of my valuable time slip away from my hands. My hobbies are: Reading books mostly self-help genre, drawing mandalas, listening to music, and watching creepy spookish horror movies as well as sci-fi, while travelling is still on my wishlist. I found myself best during meditation and developed an interest in gathering in-depth knowledge of the universe, the connected cosmos, science vs. spirituality, and geopolitics.

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