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Top 7 Data Analytics Courses In Costa Rica With Placements

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.

 

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.

Explore more about the in-demand:

 

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 EXCELIntroduction 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 VBAIntroducing 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 BIIntroducing 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 PYTHONIntroduction 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 ALTERYXGeneral 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

Contact Details:

Contact: +91 9580 740 740

Email: [email protected]

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

[email protected]

www.online.ulatina.cr

You may also be interested in:

 

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 GOVERNANCEDATA-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 DATAMANAGERIAL 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 TOOLSINFORMATION DISPLAY
  DASHBOARDS
  POWER BI
  
 FINAL DRAFTFINAL  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

[email protected]

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

[email protected]

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

[email protected]

www.ecornell.cornell.edu

Address:

950 Danby Rd.

Suite 150

Ithaca, NY 14850

Recommend Read,

 

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

A Must Check,

 

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 RIntroduction 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 TRAININGGetting 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 COURSESPower 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.”

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