Businesses all over the globe speak a new language. Deal in a new form of currency. That language, that currency, is DATA. Leveraging this new language and currency for the company’s benefit to generate profits and positive results requires some unique skills and knowledge. The person equipped and trained to provide such kind of servitude is a Data Analyst. The demand and buzz created by the emergence of Big Data has made Data Analytics one of the most sought-after and lucrative career options among the current workforce. With its penchant for education, innovation and technological advancement, Costa Rica is witnessing a surge in the need for such specialised training. You have come to the right place if you are seeking competent and proficient data analytics courses in Costa Rica.
But before focusing on data analytics courses in Costa Rica, let us delve a little deeper into this specialised field of study and its significance to this country, often referred to as the jewel of Central America.
What is Data Analytics?
John Tukey, the American mathematician and statistician, often touted as the Father of Analytics, said that his favourite part of analytics was taking boring flat data and bringing it to life through visualisation. It sums up the basic crux of what data analytics is at its core.
Data Analytics primarily involves scrutinising crude collated data to gain practical insights, draw pragmatic inferences and comprehend trends. It employs a variety of processes, technologies and tools to decode and make sense of the raw data. Its broad scope is paramount in increasing business efficiency and organisational growth.
When done correctly data analysis can present a plethora of useful and varied information. Depending on the exigencies, a business can invest in the following types of analytics:
1) Predictive
Forecasting future market trends and demands is the primary function of this branch of analytics. It uses statistical data and mathematical algorithms to predict upcoming patterns. These are predictions and might not be 100% accurate or factual. But it does help businesses formulate and anticipate strategies.
Examples: Predicting the rise or fall in demand for a product.
2) Descriptive
Involves decoding past patterns from historical data to understand success and failures. Descriptive analytics gives a detailed insight into the current status of the company.
Examples: Expenditure or Revenue generated per customer
3) Diagnostic
Relying on the data from descriptive analysis, it determines the causes and correlations between events, strategies and results. Diagnostic and descriptive analysis work hand in hand to streamline decision-making.
Example: Detecting the cause behind increasing customer complaints
4) Prescriptive
Data from predictive analysis enables prescriptive analytics to formulate recommendations and simulations of future courses of action. It helps businesses make calculated decisions and implement strategies.
Example: Introducing improved production and delivery methods based on past results
5) Cognitive
Learning from human thought processes it utilises data to extract solutions and insights. Cognitive analysis is constantly improving and evolving with each set of data it processes.
Example: Suggesting diet recommendations based on eating patterns and medical history.
While selecting from data analytics courses in Costa Rica, one should make sure the course covers all of the above types.
Opportunities and Implications for the Costa Rican Workforce
Eric Schmidt, the former CEO of Google, once said “There were 5 Exabytes of information created between the dawn of civilisation through 2003, but that much information is now created every two days.”
The data industry is expected to grow to 229.4 billion USD by the end of 2025.
All clear indications of the exponential increase in demand for data scientists and analysts.
Costa Rica has a population of 5.2 million. According to data from Statista.com, its current literacy rate is 98.04%. The country’s zeal for education and development is well-known and evident in its government’s policies.
It is no surprise that the Costa Rican youth is catching up to the progression of this exciting career prospect. The search for trustworthy data analytics courses in Costa Rica has increased significantly.
Costa Rica’s dedication to the data industry is showcased by the numerous companies and startups that have locally emerged in the field of data and analytics.
Following Are a Few Local Companies Excelling in Providing Data Analytic Services in Recent Years:
- Fundamental Partners
2022
Escazu
- Inditech Collective LLC
2021
San Jose
- Appy LLC
2018
Cartago
- Citisense
2018
Curridabat
- Next Curve Solutions
2019
San Jose
- Bamboo Coding
2017
San Jose
Many such companies are lobbying for intensifying data analytics courses in Costa Rica to meet their requirements.
A career in Data Analytics is one of the most promising and exciting options for the citizens and workforce of Costa Ricans.
If you are wondering where to pursue such learning and education, your search is over.
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Top 7 Data Analytics Courses In Costa Rica With Placements
1) IIM SKILLS
IIMSKILLS is an online Ed Tech Institute based in New Delhi, India. The institute offers courses with certification in marketing, finance, data analytics etc.
Founded in 2015, it has become one of the most sought-after learning platforms in the world. Their courses are expertly curated combining live sessions with practical assignments and internships. This made IIMSKILLS a top priority when selecting from data analytics courses in Costa Rica.
Having trained over 45000 students globally, it continues to help students and companies excel in their respective fields. IIMSKILLS has valid accreditation from recognised accrediting bodies. Aligning their courses with Hubspot, Meta, Google, and the Ministry of Micro, Small & Medium Enterprises Government of India has given them a competitive edge. IIMSKILLS offers a comprehensive six-month Data Analytics Master Course.
Course Details:
Name: Data Analytics Course
Duration: 6 Months Of Training + 2 Months Internship (optional)
EMI: Interest-Free
Certification: Yes
Fees- 311164.58 Costa Rican Colón + Taxes

The Topics Covered Are:
DATA ANALYTICS USING ADVANCED EXCEL | Introduction to data handling |
Data visualisation in Excel | |
Data manipulation using functions | |
Data analysis and reporting | |
Overview of dashboards | |
Creating dashboards in Excel with the use of pivot controls | |
DATA ANALYTICS USING VBA | Introducing VBA |
Key components of programming language | |
How VBA works with Excel | |
Programming constructs in VBA | |
Functions and procedures in VBA – Modularising your programs | |
Objects and memory management in VBA | |
Communicating with your users | |
Others | |
DATA ANALYTICS USING SQL | Basics RDBMS concepts |
Utilising the Object Explorer | |
Data-based object creation (DDL commands) | |
Data manipulation ( DML commands) | |
SQL server reporting services | |
SQL server integration services | |
Others | |
DATA ANALYTICS USING POWER BI | Introducing Power BI |
Data preparation and modelling | |
Keep and remove rows, Add remove and go to columns | |
Data analysis expressions (DAX) | |
Reports development (Visuals in Power BI) | |
DATA ANALYTICS USING PYTHON | Introduction to basic statistics |
Introduction to Mathematical Foundations | |
Introduction to analytics and data science | |
Python Essentials (Core) | |
Operations with mumpy (Numerical Python) | |
Overview of Pandas | |
Cleansing data with Python | |
Data analysis using Python | |
Basic visualisation tools | |
Visualising Geospatial Data | |
Data visualisation with Python | |
Advance visualisation tools | |
Statistical Methods and hypothesis testing | |
DATA ANALYTICS USING TABLEAU | Getting Started |
Data handling and summary | |
Data handling and summary 2 | |
Building advanced Reports/Maps | |
Table calculations | |
Calculated field | |
R FOR DATA SCIENCE | Data importing / exporting |
Data manipulation | |
Data manipulation 2 | |
Data analysis | |
Data visualisation with R | |
Using R with database | |
Introduction to statistics | |
Linear regression: solving regression problems | |
Testing | |
DATA ANALYSIS USING ALTERYX | General Overview of the course with fundamental concepts |
Using the select tool for renaming fields and changing the data type | |
Understanding the user environment and Alteryx settings | |
Remove the data set | |
Understanding the user environment and Alteryx settings | |
Connect to data sources | |
Alteryx designer interface | |
Set data field types | |
User and workflow settings | |
Remove and Rename fields | |
Filtering data / Data processing | |
S blending / Join data from different sources | |
Filtering using String data | |
Finding customers with 10 or more than 10 transaction history | |
Transpose, dynamic rename, input data, text to columns | |
Identify common data fields | |
See how all records fit the filter | |
Data cleansing | |
Impute values | |
Random sample |
IIM SKILLS’s broad-gauged design has created a favourable demand for its data analytics courses in Costa Rica.
Eligibility Criteria:
- Bachelors Degree(Any Field)
- Foundational knowledge of computers and technology
- Basic knowledge of mathematics and statistics can be advantageous but not compulsory
Highlights:
- 160 hours of live lectures
- 100+ hours of practical assignment
- 16 Projects
- Placement Assistance
- 10% Group discount on 3 or more applicants

IIM SKILLS also provides customised training for corporates and companies.
List of other Professional Courses from IIM SKILLS
- Financial Modeling Course
- Digital Marketing Course
- SEO Course
- Technical Writing Course
- GST Course
- Content Writing Course
- Business Accounting and Taxation Course
- Investment Banking Course
Contact Details:
Contact: +91 9580 740 740
Email: info@iimskills.com
Website: www.iimskills.com
2) ULATINA
Universidad Latina de Costa Rica has been a pillar of the education and learning community for 30 years. 110 thousand students have graduated from the institute in its long history of operations.
It is ranked as the premier institute in Central America by QS Stars University Ranking. Its courses are accredited by SINAES (Sistema Nacional de Acreditación de la Educación Superior), the National Accreditation System for Higher Education.
The university offers various self-paced online Executive Master’s programs.
Masters in Big Data and Business is One of the Popular Courses
The Course curriculum is as follows:
- Data-driven decisions
- Data Analytics and Business Strategies
- Enterprise data management
- Descriptive analysis and visualisation
- Predictive modelling and optimisation
- Advanced analytics
With practical training in Python, Tableau, MongoDB and Microsoft Power BI, it is a program one must consider while choosing data analytics courses in Costa Rica.
Eligibility Criteria:
- Bachelor’s Degree in any Discipline
- Minimum two years of recent work experience
- Candidates with experience between one and two years are valued as special cases, and approved by the program coordinator.
- Command of instrumental English
Highlights:
- Continuous learning and evaluation.
- Highly experienced faculty
- Networking with high-level contacts from various industries
Mode: Online
Duration: 12 months. Self Paced.
Fees: ₡1,475,695.20*
Certificate: Yes
Contact Details:
Tel: 506 4000 6958
admissions@onlineulatina.com
www.online.ulatina.cr
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3) ESI School of Management
ESI School of Management was established in 2004 in Guatemala to provide global quality education in the region. It has now established itself in 7 Latin and Central American countries. Initially offering on-campus education, the school launched its online program in 2015.
ESI has accreditation from IACBE (International Accreditation Council for Business Education). With additional support from Franklin University (Ohio), its courses are expertly crafted to meet modern-day industry demands. In recent years they focused on delivering quality business and data analytics courses in Costa Rica and other associate nations.
Diploma in Business Intelligence and Data Analytics Offered by the School is a 24-week Online Course. The Course Curriculum is as Follows:
MINDSET AND DATA GOVERNANCE | DATA-DRIVEN ORGANISATIONS |
DATA GOVERNANCE | |
The context and evolution of data | |
Data strategies | |
DATA GOVERNANCE FUNDAMENTALS | |
Data governance | |
Principles | |
Frameworks | |
BUSINESS INTELLIGENCE AND ADVANCED ANALYTICS | |
Levels of analytical competence | |
Methods, techniques and analytical tools | |
Data Architecture | |
MINDSET AND DATA CULTURE | |
Problem definition | |
Data-driven problem solving | |
organisational roles of data profiles | |
Development of data-oriented organisations | |
Platforms are generating value from data | |
MAKING BUSINESS DECISIONS WITH DATA | MANAGERIAL DECISION-MAKING MODELS |
Characteristics of data and information for decision-making | |
Decision-making strategies | |
Innovation in the context of decisions | |
QUANTITATIVE ANALYSIS AND ANALYTICAL TOOLS | |
Management Statistics | |
DECISION THEORY | |
Models with total uncertainty | |
Models under certainty | |
BUSINESS INTELLIGENCE | FUNDAMENTALS OF BUSINESS INTELLIGENCE |
DIGITAL TRANSFORMATION | |
INTELLIGENCE TOOLS | |
Business | |
Advanced analytics | |
BPM | |
DATA ANALYTICS | |
Data mining | |
Data warehouse | |
Big data | |
ANALYTICS AND BI TOOLS | INFORMATION DISPLAY |
DASHBOARDS | |
POWER BI | |
FINAL DRAFT | FINAL CERTIFICATION PROJECT |
DATA GOVERNANCE |
ESI offers all its courses in Spanish. This makes it rank highly amongst the data analytics courses in Costa Rica.
Eligibility Criteria:
- Intermediate level of Microsoft Excel
- Skills in Quantitative Concepts
Highlights:
- Case Studies of Tables, Forecasts and Dashboards
- Industry Applications
- Signature of the highest academic authorities of ESI and Franklin University in the diploma issued by ESI;
Mode: Online, Live session once a week
Duration: 24 weeks.
Certification: Yes
Fees: $1130
Contact Information:
ESI Guatemala
Tel: (502) 2411-9400
23 street 15-14 Zone 13 Edif. Condesa,
4th. Guatemala Level
info@esieduc.org
www.esieduc.org
4) NobleProg
NobleProg is a training and consulting group functioning on a franchise-based business model. The company was founded in Krakow, Poland in 2005. In a short time, NobleProg established itself as a global force in training and consultancy. Focusing on process automation has enabled the company to provide training in various fields on all continents.
Functioning with a big corporation’s dominance and local providers’ adaptability, it tenders customised data analytics courses in Costa Rica and other training programs.
The Clients Have the Option of Choosing Their Desired Training in Various Formats:
- Onsite
- Online
- Public Courses
- Private Courses
In the 18 years since its inception, NobleProg has trained over 63000 participants and serviced 6000 plus companies. They have an impressive repertoire of curating over 5000 courses worldwide. The variety of data analytics courses in Costa Rica that they offer is unmatched.
The duration can range from anywhere between a day to a couple of months. The same course can be availed in both online and onsite modes. The course fees vary according to the mode chosen and the number of participants.
Example:
Data Analysis with SQL, Python, and Tableau Training Course
Course Duration: 14 hours
Online Fees/Participant: 3937 USD (1 Participant)
1687 USD(4 Participants)
Onsite Fees/Participant: 4237 USD(1 Participant)
1837 USD(4 Participants)
All open and public courses require a minimum of 5 participants.
In Costa Rica, Onsite trainings are conducted in San Jose, Plaza Roble Las Terrazas.
If you are an institution or business having a dilemma finding data analytics courses in Costa Rica for your employees, NobleProg is the answer for you.
Companies and participants can choose the course from their website or contact them for consultation.
Contact Information:
Tel: +506 4000 1105
costarica@nobleprog.com
www.nobleprog.co.cr

5) Cornell
eCornell University established in 1865, has been a leader in providing high-quality education for over 150 years. eCornell is the executive wing of the university engaged in online education programs.
eCornell offers a panoramic depth for students looking for data analytics courses in Costa Rica. They provide 25 certification programs in the field of Data Analytics. Each Certification has several courses the candidates must complete in the order mentioned.
CERTIFICATE | COURSES |
DATA SCIENCE | |
Understanding Data Analytics | |
Finding patterns in data using Association rules, PCA, and factor analysis | |
Using cluster and hotspot analysis to find patterns in data | |
Regression analysis and discrete choice models | |
Supervise learning techniques | |
Neural networks and machine learning | |
DATA SCIENCE ESSENTIALS | |
Exploring data sets with R | |
Summarising and visualising data | |
Measuring relationship and uncertainty | |
Data cleaning with Tidyverse | |
DATA SCIENCE MODELING | |
Nonlinear regression models | |
Modelling interactions between predictors | |
Foundations of predictive modeling | |
Ensemble Methods | |
DATA ETHICS | |
Individual ethics | |
Ethics and data life cycle | |
Integrating virtual ethics into data science practice | |
Creating an ethical data science practice and workplace | |
DATA ANALYTICS | |
Understanding and visualising data | |
Implementing scientific decision-making | |
Using predictive data analysis | |
DATA ANALYTICS 360 | |
Understanding and visualising data | |
Implementing scientific decision | |
Using predictive data analysis | |
Modelling uncertainty and risk | |
Optimisation and modelling simultaneous decisions | |
DATA ANALYTICS IN R | |
Predictive analytics in R | |
Clustering, classification, and machine learning in R | |
Prescriptive analytics in R | |
DATA SCIENCE WITH SQL AND TABLEAU | |
Querying relational databases | |
Working with data using SQL | |
Creating data visualisations with tableau | |
Enhancing data visualisations with tableau | |
Telling a data-driven story with tableau | |
DATA VISUALIZATION IN TABLEAU | |
Creating data visualisations with tableau | |
Enhancing data visualisations with tableau | |
Telling data-driven story with tableau | |
Elective course(1 course) | |
Leadership symposium(live) | |
DATA MANAGEMENT IN SQL | |
Exploring data | |
Integrating data from multiple tables | |
Extracting insights from data | |
Fundamentals of database design | |
Introduction to scalability and automation | |
PYTHON FOR DATA SCIENCE | |
Constructing expressions in Python | |
Writing custom Python functions, classes, and workflows | |
Developing data science applications | |
Creating data arrays and tables in Python | |
Organising data with Python | |
Analysing and visualising data with python | |
Building predictive machine learning models | |
PYTHON PROGRAMMING | |
Python fundamentals | |
User-defined functions in Python | |
Developing a currency converter | |
Controlling program flow | |
Mastering data structures | |
Auditing data sets | |
NATURAL LANGUAGE PROCESSING WITH PYTHON | |
Natural language processing fundamentals | |
Transforming text into numeric vectors | |
Classifying documents with supervised machine learning | |
Topic modelling with a supervised machine learning | |
Clustering documents with unsupervised machine learning | |
Conducting semantic and sentiment analysis | |
MACHINE LEARNING | |
Problem-solving with machine learning | |
Estimating probability distributions | |
Learning with linear classifiers | |
Debugging and improving machine learning models | |
Learning with kernel machines | |
Deep learning and neural networks | |
Linear algebra: low dimension | |
Matrix and linear algebra: high dimension | |
APPLIED STATISTIC | |
Data analysis and probability | |
Decision analysis | |
Continue distributions | |
Sampling | |
Hypothesis testing | |
Simple regression | |
Multiple regression | |
BUSINESS STATISTIC | |
Presenting quantitative data | |
Descriptive statistics for business | |
Meeting predictions using statistical probability | |
Inferential statistics | |
Multivariable comparisons | |
Statistical forecasting | |
Practical applications of statistics | |
BUSINESS ANALYTICS | |
Getting started with Business Analytics and Spread Sheet modelling | |
Harvesting spreadsheet data | |
Visualising and communicating insights in Excel | |
Making predictions and forecasts for data | |
Using prescriptive analytics in Excel | |
Creating and sharing interactive data models | |
Leadership symposium(live) | |
STATISTICAL FOUNDATIONS | |
Interpreting and communicating data | |
Using statistical tests to make decisions | |
Applying statistical tests | |
Making predictions with data models | |
MARKETING ANALYTICS | |
Leverage in customers for growth | |
A/B testing and Analytics | |
Customer behaviour segmentation analysis | |
Predicting customer response | |
Driving growth through customer Centricity | |
HR ANALYTICS | |
Essentials of HR Analytics | |
Strategic talent Analytics | |
Applied predictive analytics in HR | |
Valuing HR Initiatives | |
OPERATIONS ANALYTICS | |
Process performance | |
Queuing analysis | |
Inventory management analysis | |
Decisions support models for operations | |
SUPPLY CHAIN ANALYTICS | |
Forecasting supply chain demand | |
Optimising inventory management | |
Optimising production capacity allocation | |
Supply chain Finance, coordination, and sustainability | |
PROBABILITY ANALYTICS | |
BIG DATA FOR BIG POLICY PROBLEMS | |
BIG DATA FOR POLICY | |
Income inequality and intergenerational mobility | |
Impact of racial-ethnic segregation education and Neighbourhood inequality | |
Social and economic importance of the early covid-19 pandemic | |
Crime and incarceration |
Giving a cyclopedic perspective when selecting from data analytics courses in Costa Rica, eCornell has become very popular.
Eligibility Criteria:
- There are no prerequisites to enroll but the university has recommendations for each course
- Candidates can also take a quiz on the website to get recommendations
Highlights:
- Classes are conducted in small batches to facilitate discussion among peers
- Sessions with industry experts
- Real-world projects and case studies
Mode: Online
Duration: 2 to 5 months
Fees: $3000 to $4000
Certificate: Yes
Contact Information:
Tel: 866-326-7635
+1-607-330-3200
ecornellinfo@cornell.edu
www.ecornell.cornell.edu
Address:
950 Danby Rd.
Suite 150
Ithaca, NY 14850
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6) Nexford University
Nexford University launched in 2019, is a 100% online global education platform. Based in Washington DC, it aims to provide quality with affordability. Its courses are some of the cheapest yet most comprehensive in the world. Home to more than 8000 students, it serves learners in more than 100 countries.
The university offers over 100 courses in numerous fields including Data Science and AI. Nexford has accreditation from the Distance Education Accrediting Commission (DEAC). The U.S. Department of Education has recognised The DEAC as an accrediting agency. It is also recognised by the Council for Higher Education Accreditation (CHEA).
Nexford offers a master’s Degree Program in Data Analytics for candidates with a bachelor’s Degree in Business Administration or a related field. The Degree program consists of 12 courses.
You can fast-track your program by maintaining higher grades. The higher your grades are the more courses you’ll be allowed to take at the same time (a maximum of 3 courses in a term). And the faster you finish the less you pay.
MSC Degree in Data Analytics:
PROGRAMMING IN R & PYTHON | |
|
Introduction to R and Python
Working with Data Structures, Libraries and Files
Object-Oriented Programming in R and Python
Data Visualization in R and Python for Data Analysis
Data Manipulation in R and Python
Use of R and Python in Emerging Technologies
Final Project |
DATA MODELING & MINING | |
|
Data Modeling and Mining Fundamentals
Data Pre-Processing and Cleaning
Preparing, Refining, and Optimization of Data
Data Extraction and Patterning Techniques
Analysing and Validating Data Models
Data Analytics Insights and Applications
Final Project |
APPLIED MACHINE LEARNING FOR BUSINESS ANALYTICS | |
|
Machine Learning and Relevancy to Predictive Analytics
Machine Learning Models
Machine Learning Methods
Clustering and Dimensionality Reduction
Machine Learning Algorithms
Quantum Computation and Optimisation of Algorithms in Machine Learning
Final Project |
INFORMATION VISUALIZATION & COMMUNICATION | |
|
Introduction to Business Analytics & Data Visualization
Fundamental Data Visualization Techniques: The Basics
Fundamental Data Visualization Techniques: Advanced
Demonstrating Perspectives & Data Storytelling
Leveraging BI Tools and Governance
The Future of Data Visualization
Final Project |
THE LAW & ETHICS OF INFORMATION TECHNOLOGY | |
|
Introduction to Law and Computer Ethics
Professional Ethics
Privacy and Data Protection
Understanding Property Rights and Software in the Digital Era
Accountability in IT and Professional Responsibility
Ethical issues and legality in ICT Research
Final Project |
THE ART OF COMMUNICATION | |
|
Exploring your knowledge about writing
Corporate genre studies
Audience-centered communication
Cognitive principles of negotiation
Oral communication
Communicating in a global workforce
Final Project |
DATA SCIENCES FOR DECISION MAKING | |
|
Big data analytics revolution
Successful data analytics transformation
Implications of value chain ecosystem on distribution models in big data analytics
Business models offering via big data analytics
Data mining and statistical modelling techniques
Data analytics impact on business recommendations
Final Project
|
STATISTICS FOR BUSINESS ANALYTICS | |
|
Data Preparation in Business Statistics
Sampling
Hypothesis Testing & Applications
Data Preparation in Business Statistics
Chi-Square Tests
Decision Theory
Final Project |
ACCOUNTING AND FINANCIAL REPORTING | |
|
International accounting frameworks
Financial reporting requirements
Accounting Analytics
Advanced financial accounting – part 1
Advanced financial accounting – part 2
Accounting and reporting for business segments
Final Project |
CORPORATE SUSTAINABILITY | |
|
Sustainability strategy and reporting
Shareholder approach vs. stakeholder approach
Principles of strong reporting
Effective strategy
Accountability
Crisis management
Final Project |
BUSINESS ANALYTICS | |
|
Foundations of Business Analytics
Data Collection and Preparation in Business Analytics
Data Analysis Techniques and Tools
Predictive and Prescriptive Analytics
Implementing Business Analytics in Organizations
Emerging Issues in Business Analytics
Final Project |
BUSINESS ANALYTICS CAPSTONE | |
|
Business Analytics Across Various Verticals
Business Analytics Project
Data Collection and Preparation in Business Analytics
Developing Business Analytics Models
Business Analytics Model Results Communication
Deployment and Monitoring in Business Analytics Solutions
Final Project |
Nexford’s exhaustive methodology makes this one of the coveted data analytics courses in Costa Rica.
Eligibility Criteria:
- Bachelor’s degree in Business Administration or similar discipline
- Course in Basic Statistics
- Some other prerequisites are required which the admission specialist helps out with. It might involve adding a few more courses to the program.
Highlights:
- Flexible Learning
- Affordable tuition
- Scholarships Available
Mode: Online
Duration: 18 months self-paced.
Fees: 240 USD/ month. Will reduce if finished sooner.
Certificate: Yes
Contact Information:
Tel: (202) 280-2049
www.nexford.edu
Address:
1140 3rd St NE
Suite 200
Washington, DC 20002, US
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7) Simplilearn
Simplilearn is an online learning platform that was established in San Francisco, California and Bangalore, India in 2010. Since then it has trained over a million professionals in over 150 countries.
Simplilearn began its foray as a blog on project management and has grown into a global education giant in a short time.
The company collaborates with various universities and organisations across the world to provide high-quality training and certificates with global renown.
It offers a Post Graduate Program in Data Analytics in partnership with Purdue University and in collaboration with IBM.
The Program consists of 7 courses to be completed in 8 months:
BUSINESS ANALYTICS WITH EXCEL | Introduction to Business Analytics
Conditional Formatting and Important Functions
Analyzing Data with Pivot Tables
Dashboarding
Business Analytics with Excel
Data Analysis Using Statistics
Power BI |
Introduction to Programming
Programming Environment Setup
OOPs Concepts
Programming Fundamentals of Python
File Handling, Exception Handling, and Package Handling |
|
SQL | Fundamental SQL Statements
Restore and Back-up
Selection Commands: Filtering
Selection Commands: Ordering
Alias
Aggregate Commands
Group By Commands
Conditional Statement
Joins
Subqueries
Views and Index
String Functions
Mathematical Functions
Date and Time Functions
Pattern (String) Matching
User Access Control Functions |
PROGRAMMING FOUNDATION AND DATA
ANALYTICS WITH PYTHON |
Introduction to Programming
Programming Environment Setup
OOPs Concepts
Programming Fundamentals of Python
File Handling, Exception Handling, and Package Handling
Course Introduction
Data Analytics Overview
Statistical Computing
Mathematical Computing Using NumPy
Data Manipulation with Pandas
Data Visualisation with Python
Intro to ModelBuilding |
R PROGRAMMING FOR DATA SCIENCE
|
R Basics
Data Structures in R
R Programming Fundamentals
Working with Data in R
Stings and Dates in R |
DATA ANALYTICS WITH R | Introduction to Business Analytics
Introduction to R Programming
Data Structures
Data Visualization
Statistics for Data Science I
Statistics for Data Science II
Regression Analysis
Classification
Clustering
Association |
TABLEAU TRAINING | Getting Started with Tableau
Core Tableau in Topics
Creating Charts in Tableau
Working with Metadata
Filters in Tableau
Applying Analytics to the Worksheet
Dashboard in Tableau
Modifications to Data Connections
Fundamentals of Level of Details in Tableau (LODS) |
DATA ANALYTICS CAPSTONE | |
ELECTIVE COURSES | Power BI |
Master Class – Purdue University | |
Industry Master Class – Data Science |
The panoptical approach makes this one of the highly-rated data analytics courses in Costa Rica.
Eligibility Criteria:
- Bachelor’s Degree in any field with 50% marks
- Programming background and prior work experience are not required
Highlights:
- Joint Certificates from Simplilearn, Purdue University and IBM
- 14+ industry-relevant projects
- Career assistance services
Mode: Online
Duration: 8 months
Fees: $ 2,790. EMI options are available.
Certificate: Yes
Contact Details:
USA
Simplilearn Americas, Inc.
201 Spear Street,
Suite 1100,
San Francisco,
CA 94105
Tel: +1-844-532-7688
www.simplilearn.com

FAQs
Will AI replace Data Analysts?
The rapid surge of AI in the last couple of years has given rise to the debate of AI vs Humans. But most industry pundits and gurus agree that AI can never completely replace humans. With more research AI will keep evolving but never be capable of replicating human cognitive thinking. Human insights will become more valuable when it comes to machine learning. AI will become a tool to accelerate the understanding and mastery of technologies in Data Analytics.
To keep up with the growing demand, all data analytics courses in Costa Rica and elsewhere are integrating AI tools into their curriculum.
Practising and prospective Data Analysts should remember that it won’t be AI that comes after their jobs. But the person who learns to leverage AI to his benefit will.
Can I become a Data Analyst at 40?
It’s not the age, but the attitude and aptitude that matters. Hunger for learning and flexibility to constantly adapt and evolve will determine your success. There are a lot of professionals who pursue data science late in their careers.
Data will stay relevant till the end of time. So if you can tread on a challenging career path, don’t hesitate. A world full of opportunities and possibilities awaits. Making the right decision in selecting from the data analytics courses in Costa Rica, could be paramount to your success.
Do data analysts have a future?
The increase in the demand for Data Analysts is unmatched by its apparent supply. Countries like Germany, the United Kingdom, and France are already beginning to face a shortage of such skilled talent. The market for data jobs is estimated to grow at a rate of 23% between 2021 and 2031. Making it a lucrative career option presently and in the future. This fact is evident in the increase in the number of data analytics courses in Costa Rica.
Conclusion
‘Pura Vida’ meaning Pure Life, the unofficial slogan of Costa Rica reflects their attitude towards life. Simplifying life to find fulfilment and contentment. Precisely what data analysis is at its core. Making sense of huge sets of seemingly random and meaningless information to achieve clarity and purpose. Any institute offering data analytics courses in Costa Rica should keep these values intact.
Costa Rica’s affinity for this fruitful and flourishing line of work is natural. It is important to pursue the right course for guidance and training. Make an informed and knowledgeable choice by selecting one of the data analytics courses in Costa Rica from the above list.
To sum it up, let us remember and resonate with this quote by American entrepreneur Andy Dunn, “Passion Provides Purpose, but Data Drives Decision.”