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Continuing Education Course in Data & Business Analytics

Become an expert in data analysis and data collection to help your organization make strategic decisions that support business goals. Support your company’s growth, uncover new opportunities, and foster data-driven innovation.

format, Continuing Education Course in Data & Business Analytics

Format 100% online

calendar, Continuing Education Course in Data & Business Analytics

Start date January 2027

language, Continuing Education Course in Data & Business Analytics

Duration 16 weeks

medal, Continuing Education Course in Data & Business Analytics

Language Spanish

Unlock growth and development with the power of data

Strengthen your professional profile with MIU’s course in Data & Business Analytics by learning how to use data efficiently to support business transformation and effective decision-making. Learn how to develop the organizational and management skills that make your company stand out in today’s competitive market.

During this fully online 16-week course, consisting of three weekly classes of 45 to 90 minutes each, you will learn how to collect, analyze, and visualize relevant data for your business while also developing technical skills in key industry tools.

Combine analytics, visualization, and Business Intelligence to help you uncover patterns, identify opportunities, and communicate information effectively in business environments.

7,000+

Students

30+

Countries

Why specialize in Data & Business Analytics?

By specializing in Data & Business Analytics at MIU, you will combine a solid foundation in economics, finance, marketing, and management with real-world projects and problem-solving. This practical approach allows you to understand how modern markets operate and apply your knowledge to today’s business environment.

As technology continues to evolve and businesses undergo digital transformation, expertise in data analytics and business strategies will prepare you to:

  • Automate processes to support real-time, data-driven decision-making.
  • Generate competitive intelligence to support decision-making using CRM systems, cloud computing, big data, artificial intelligence, machine learning, and the Internet of Things.
  • Use SQL to interact with relational databases and apply machine learning techniques through the R programming language.
  • Identify success factors in the implementation of modern business intelligence projects.
  • Understand the leading data visualization solutions for traditional and large-scale data analysis.
  • Use storytelling techniques to present data visualization insights in a clear and impactful way.
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Why study Data & Business Analytics at MIU?

As organizations generate and store more information than ever before, the demand for professionals who can extract meaningful insights and create business impact through data continues to grow. This business analyst training course allows you to accelerate your growth and prepares you to pursue new national and international opportunities in business. You will also have access to the following benefits:

  • Professional development: This program increases your employability while helping you grow within your organization and pursue new professional opportunities.
  • Diversification opportunities: This specialization opens doors to multiple industries, as there is a need across every sector for professionals with the expertise to interpret data and support strategic decision-making.
  • Growth and innovation: Data analytics is at the core of technological innovation, and MIU’s Data & Business Analytics Course places you at the forefront of the developments that are shaping the present and the future of business.
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Format

MIU’s Continuing Education Course in Data & Business Analytics is available fully online to offer greater flexibility. Study at your own pace, wherever and whenever you want.

Online

Start dates

January, May, or September.

Language

Spanish.

Classes

Pre-scheduled weekday classes: participate in real time and/or watch the recorded sessions.

Study Plan

16 weeks (4 months)

As part of MIU’s Data & Business Analytics course, you will have access to live classes during Miami evening hours, as well as recordings available after each session. You will also benefit from the guidance of a personal tutor who will help you plan your studies. You will learn through a hands-on methodology focused on real-world projects.

You will complete 160 contact hours plus independent work. Course topics are as follows:

Business Data Foundations

5 subjects

The data ecosystem in modern organizations

Data taxonomy: structured, semi-structured, and unstructured data

The visualization pipeline: from data to decisions

Power BI in the context of corporate Business Intelligence

Technical architecture and components of the Power BI ecosystem

Visual Psychology and the Architecture of Perception

5 subjects

Fundamentals of human visual perception

Gestalt principles in information design

Preattentive attributes in data visualization

Cognitive load and executive decision-making

Design principles for corporate dashboards

UX Frameworks and Corporate Accessibility

5 subjects

Design Thinking as a methodology for report design

User experience (UX) in Business Intelligence environments

WCAG accessibility standards: principles and application in BI

Digital inclusion in corporate data communication

Functional minimalism and executive-focused design

Data Processing, Modeling, and Technical Connectivity

5 subjects

Data processing workflows in Power BI

Data transformation and cleansing with Power Query

Dimensional modeling: star and snowflake schemas

Connectivity options and performance in enterprise environments

Data governance and quality management in BI models

Advanced Analytics with R and Python

5 subjects

The role of programming in modern Business Intelligence

Python integration within the Power BI ecosystem

R integration for advanced statistical analysis

Predictive modeling and time-series analysis

Anomaly detection and intelligent reporting alerts

Data Storytelling and Executive Dashboards

5 subjects

Foundations of data storytelling: narrative as a competitive advantage

Story structure applied to data

Executive dashboard design and architecture

Interactivity and narrative experiences in Power BI

Executive presentation: from insight to action

BI Strategy and Project Architecture

5 subjects

Business Intelligence as a strategic corporate initiative

Gap analysis: from current state to desired state

Work Breakdown Structure (WBS) for BI projects

Stakeholder management and executive sponsorship

Success metrics, ROI, and governance models

Implementation Methodologies and Global Case Studies

5 subjects

The Business Intelligence project lifecycle

Agile methodologies for BI implementation

Hybrid approaches: combining Waterfall and Agile

Analysis of international success stories

Roadmap to organizational analytics maturity

Develop key skills in data analytics with the industry’s top tools

Succeeding in today’s rapidly evolving business world requires practical experience with key industry tools used in areas such as management, decision-making, financial analysis, organizational strategy, and marketing, including:

  • SQL
  • R Programming
  • Python
  • Tableau
  • SAS
  • Power BI
  • Google Analytics

Career opportunities with a Data & Business Analytics certificate

With a certificate in Data and Business Analytics, you will possess the technical and analytical skills needed to stand out in data analysis, trend identification, decision-making, and data-driven strategy creation. You will be prepared to pursue roles such as the following:

  • Business Manager or Administrator: Qualify for leadership roles involving resource management, team leadership, and data-driven business strategies.
  • Financial Analyst: Evaluate a business’s financial performance and interpret financial statements to support strategic decision-making.
  • Business Consultant: Advise organizations on the best course of action across areas like finance, marketing, human resources, and technology.
  • Marketing Manager: Develop data-driven marketing campaigns to gain a competitive advantage while fostering innovation and creativity in product development and user experience.
  • Business Operations Specialist: Apply administrative tools and techniques to improve operations and reach business goals.
  • Risk Analyst: Use data to mitigate potential risks, support real-time decision-making, and help businesses determine the best course of action.

Frequently Asked Questions

What’s the difference between a certification in Business Analytics and a full master’s degree?

A certification in Data & Business Analytics prepares you to develop specific technical skills, while a master’s degree in this area focuses on deeper training in specialized strategic knowledge and broader long-term career development.

How does DEAC accreditation help my certificate gain recognition in the United States?

DEAC accreditation validates the academic quality of MIU’s programs and supports the credibility and recognition of your certificate.

Does the course include hands-on training in the use of Artificial Intelligence to analyze data?

Yes, in the Data and Business Analytics course, you will learn to apply AI models, including generative AI, while developing skills aligned with current market trends and workforce demands.

How can I apply for the 75% scholarship, and what are the eligibility requirements?

Applicants must demonstrate an excellent academic background, recognized achievements, and the potential to make a meaningful impact upon program completion. Eligibility may also depend on MIU’s financial and professional evaluation criteria.

Does this course count for credits that can be transferred to other MIU degree programs?

Yes, you may earn credits that can be applied toward higher education studies through MIU’s stackable credentials pathway.

What professional profile do program graduates have, and in what industries are they currently working?

This program is designed for professionals who want to build a career in the business sector, particularly in marketing, management, and finance. Graduates are prepared to pursue roles in technology, cybersecurity, healthcare, finance, and logistics.

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Admission requirements

To be admitted to the Data & Business Analytics certification program, you must submit the following:

  • Completed admissions application
  • Copy of your passport or another official form of identification

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