Utiva Data Academy

Acquire Data Analytics + Machine Learning Skills; transition into business role in tech industry

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What is the Class about?

The Utiva Data Analytics is a talent accelerator program that helps young professionals in transition into Data related roles in the top 5% firms.

Learning Modules

1. Business and Data: The Power of Intelligence.
2. Fundamentals of Analytical Tools: Learning the Concepts, Practise and Principles.
3. Business Analytics Tool 101 Using Excel.
4. Business Analytics Tool 201: SQL.
5. Business Analytics Tool 301: Power BI.
6. Machine Learning and Data Computation.
7. Fundamental concepts from: Probability Statistics.
8. Fundamental concepts from: Stochastic modelling.
9. Workplace Communication.

Data Analytics Hackathon

Working directly with the Utiva Data Partners, our talents get to engage in a 4-hours data challenge. The best(top 25%) of the talents get the opportunity to interview immediately with any of our partners.


* One(1) month of continous learning;
* Saturdays and Sundays in class;
* An average of five(5) hours per day

Class Structure

Blended learning model with 60% In-Class and 40% Online

Post Training Assessment

Cases: 2 Tech Projects: Fintech and Insurtech Projects

You will be given a different set of data within a period of hours and asked to analyze them. You'd also be asked to provide business information and intelligence for small tech businesses.

What Utiva Data Academy is all about?

The Academy is a 58-hours learning program that is designed to help transition in Business Analytics FAST!

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Data Engineering is about using analytics tools to transform huge data into a format that is useful for managers to make business decisions.

Job Opportunities: Data Engineer, Database Developer, Data Analyst

Data Mining means analyzing different data to show patterns and trends. This helps business executives create direction, solve problems and create stronger competitive advantages. This person will be able to look at a business problem and translate it to a data question, create predictive models to answer the question and story tell about the findings.

Job Opportunities: Data Scientist, Business Analyst, Statistician

Cloud and System are about designing and implementing infrastructure and platforms for businesses which often requires cloud and distributed computing. The role also analyzes system requirements and ensures that systems will be securely integrated with current applications and business uses.

Job Opportunities: Cloud Architect, Cloud Engineer , Platform Engineer

This role involves creating designs, deploying, and also providing maintenance supports to complex and high volume data sets.

Job Opportunities: Database Analyst, Database Administrator, Data Specialist

Business intelligence includes improving the back-end data sources so that it’s simple for the management team to analyze. BI also includes building tailored analytics solutions, managing dashboards, reporting to stakeholders, identifying opportunities and recognizing best practices in reporting and analysis.

Job Opportunities: BI Engineer, BI Developer, BI Analyst, Data Strategist

This is one the largest and most complex part of Data Analytics- “making robots”. It involves building a model and feeding the model with data. This might include building algorithms/models and statistical techniques.

Job Opportunities: ML Engineer, AI Specialist, Cognitive Developer, Researcher

Data, in its unrefined and unstructured way, can be very unattractive. Hence, data visualization is being able to present data in a visually appealing way. When you get a job in data visualization, you build solutions for teams and customers based on specific business requirements and use cases.

Job Opportunities: Data Viz Engineer, Data Viz Developer, Software Developer

This is an opportunity for people who do not consider themselves techy but have a passion for solving complex processses. These type of roles focus on leveraging the tools and data provided by the other members of the data science team (or developed by them) in opportunities for improvement within the operations of the business. These can either be focused on logistics, technology, financials, human resources, etc.

Job Opportunities: Planning Analyst, Decisions Analyst, Communications Analyst, etc

These people tend to focus on more external data related to customers, sales and marketing, yet their purpose is similar to those in operations: track performance and finds opportunities. It also involves looking for customer-centric patterns, trends etc to make marketing decisions

Job Opportunities: Web Analyst, Product Analyst, Market Analyst, Sales Analyst

This is a more sector-specific domain of analytics. Healthcare, Finance or something that requires domain-knowledge expertise to analyze, you might opt to look into simple analyst positions within organizations in these industries.

Job Opportunities: Data Analyst, Business Analyst, Data Scientist — specialized