https://www.unialfa.com.br/vestibular/

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Postgraduate:
Data Science

12 months (can be completed in 6 months).

Distance learning

12x of R$ 99.00

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Course Objective

Train specialists, called Data Scientists, capable of working with methods, processes, algorithms and systems optimized to analyze and interpret complex relationships of digitally produced data.

Target audience

Graduates or postgraduates in the areas of IT, engineering, energy, economics, finance, mathematics, statistics, accounting, administration and similar. Knowledge of Python or Machine Learning is not required, but participants should feel comfortable with programming logic. 

Graduate profile

You will be a professional capable of solving complex problems, always seeking to use:

  • Data, provide information and knowledge for organizational decision-making and analyze large volumes of data exploring new problems to be solved;
  • Graduates will be fluent in programming, have in-depth knowledge of databases, and will have experience with frameworks that allow the processing of huge amounts of data. They will also focus on automating knowledge production processes;
  • Graduates of the course will also have extensive practical knowledge related to statistics and multivariate analysis, being able to plan, execute and monitor a Data Science project.

Job market

Graduates must be able to interpret and conduct work well within the broad concept of information technology. With the support of the management disciplines available in the course, students must be able to conduct processes for implementing, selecting and coordinating projects in the area of the course. Graduates must also be able to lead work teams in the area of information technology for artificial intelligence.

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Doctor Adriano Pila

Intense experience in business management in the education sector with proven performance and results. Excellent systemic analysis and logical reasoning skills. PhD in Artificial Intelligence with a focus on Machine Learning and Evolutionary Computing for problem-solving in Data Science. SOFT SKILLS Proactive, strategic, determined, self-confident, versatile, flexible, agile, innovative, results-oriented, takes calculated risks, has a generalist vision without losing sight of the details, follows the processes, has the ability to improvise, has the vision of an owner, strategist and executor. Exercises leadership in a persuasive and friendly manner. HARD SKILLS Evolutionary computing, Artificial intelligence, Fuzzy logic, Machine learning, Probabilistic reasoning, Artificial neural networks, Genetic algorithms, Relational databases and SQL, Object-Oriented Programming, Python (Pandas, Numpy, Scikit-Learning), KPIs, Opex, Capex, BSC.

Lattes CV

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DISCIPLINECH
STARTUP MANAGEMENT80
BASIC STATISTICS80
BIG DATA AND DATA SCIENCE80
AGILE DEVELOPMENT METHODOLOGIES80
CLOUD COMPUTING INFRASTRUCTURE80
ARCHITECTURE AND BACK-END PROGRAMMING80
FRONT-END ARCHITECTURE AND PROGRAMMING80
TOTAL560
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Perimeter Unit

(62) 3272-5000
Perimetral Norte Avenue, 4129
Goiania / GO
ZIP Code 74445-190

Unidade Mutirão

(62) 3121-3236
Mutirão Avenue, 2600 (left with T-9)
Bueno Sector, Goiânia / GO
ZIP Code 74215-240

Unidade T1

AV. T 1, Nº 363, QUADRA 25, LOTE 7/8/17/19 - Bueno