Fundamentos de Inteligência Artificial para Finanças from Coursera

Nossas boas-vindas ao Curso Fundamentos de Inteligência Artificial para Finanças.

Neste curso, você aprenderá que a transformação digital em Finanças é a reorganização e a remodelagem das funções financeiras e contábeis, utilizando a tecnologia para recriar sistemas operacionais e processos eficientes, que inclui substituir ou não os sistemas tradicionais para todas as áreas do negócio.

Podemos resumir como uma mudança de mentalidade que as empresas passam com o objetivo de se tornarem mais modernas e acompanharem os avanços tecnológicos que não param de surgir, como Internet das Coisas (IoT), computação em nuvem, Big Data, inteligência artificial e os robôs.

Ao final deste curso, você será capaz de entender temas como Aprendizado de Máquinas, Aprendizado Profundo e Inteligência Artificial.

Este curso é composto por quatro módulos, disponibilizados em semanas de aprendizagem. Cada módulo é composto por vídeos, leituras e testes de verificação de aprendizagem. Ao final de cada módulo, temos uma avaliação de verificação dos conhecimentos.

Estamos muito felizes com sua presença neste curso e esperamos que você tire o máximo de proveito dos conceitos aqui apresentados.

What's inside

Syllabus

O Futuro dos Sistemas Financeiros

Conforme a nova economia avança, mais o mercado financeiro se torna mais dependente da coleta, estruturação e análise de dados. Por isso, decisões baseadas em dados têm se tornado tão importantes para companhias que querem se tornar rentáveis, com operações mais enxutas e aumentar o retorno financeiro a médio e longo prazo. As empresas com finanças orientadas por dados vão além de só analisar número e gerar relatórios padrões. Elas utilizam os dados para tomar decisões precisas e eliminar vieses e suposições, gerando resultados através de análises preditivas e modelos de aprendizado de máquina para aproveitar as oportunidades e reduzir os riscos.

Fundamentos de Inteligência Artificial e Suas Aplicações

A inteligência Artificial já está presente em nossas vidas e as utilizamos desde o momento em que desbloqueamos nosso smartphone utilizando reconhecimento facial, respondemos um e-mail ou acessamos nossas redes sociais preferidas. De forma bem simples a Inteligência artificial (ou simplesmente IA) são programas de computadores que imitam a maneira como os humanos aprendem e resolvem problemas complexos. Computadores com IA são programados para aprender atividades como reconhecimento de fala, reconhecimento visual, identificação de padrões, resolução de problemas e planejamento de tarefas.

Aprendizado de Máquina

De forma bem simples, o aprendizado de máquina nos permite usar algoritmos de computador para construir modelos que podem fazer previsões, descobrir padrões ou resolver problemas. Porém, não vamos dizer explicitamente como o computador vai fazer isso, então o algoritmo de aprendizado de máquina vai utilizar uma grande variedade de dados, estruturados e não-estruturados para aprender com esses dados e realizar suas previsões.

Aplicações de Modelos

A área de Machine Learning está em constante evolução, por isso, é necessário entender cada componente que é utilizado em cada tipo de projeto e como podemos analisar os impactos e obter o melhor retorno para essa abordagem.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Apresenta conceitos como aprendizado de máquina, aprendizado profundo e inteligência artificial, noções que são muito utilizadas na área financeira atualmente

É ministrado por Anderson França, que traz consigo sua experiência e conhecimento no mercado de finanças

Promove uma mudança de mentalidade, buscando acompanhar os avanços tecnológicos em áreas importantes para o mercado de finanças, como IoT e Big Data

Disponibiliza vídeos, leituras e testes de verificação de aprendizagem para reforçar o conteúdo apresentado

É composto por quatro módulos, que serão disponibilizados semanalmente

Requer que o aluno tenha conhecimentos prévios em Inteligência Artificial e Aprendizado de Máquina

Career center

Learners who complete Fundamentos de Inteligência Artificial para Finanças will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists are responsible for working on tasks that are not well-defined in order to extract knowledge and insights from data. They work across all industries and most frequently work with data that has been collected from different sources, like databases, spreadsheets, and servers, and use algorithms to analyze data and make predictions about the future, identify trends, and present data in an understandable way. As such, taking this course would significantly increase one's fitness for this role. More specifically, this course's discussion of predictive analysis, machine learning, and data structuring would go a long way in helping a Data Scientist succeed in their day-to-day role.

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Machine Learning Engineer

Machine Learning Engineers, like Data Scientists, are responsible for designing, developing, and deploying machine learning models. They typically have a deep understanding of machine learning algorithms and computer science, and the skills to apply them to a specific problem. This course would give a person interested in working in this field a deep understanding of the fundamentals of machine learning and artificial intelligence.

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Quantitative Analyst

Quantitative Analysts use mathematical and statistical techniques to analyze data to identify trends, risks, and opportunities. The work they produce is used to make investment decisions by financial institutions, mutual funds, and hedge funds. This course would help a person looking to work as a Quantitative Analyst better understand the data analysis methods that are commonly used in the financial industry and will give them a solid understanding of what goes into financial decision-making.

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Data Analyst

Data Analysts are responsible for cleaning, organizing, and analyzing data to extract meaningful insights. Unlike Data Scientists, Data Analysts do not use this data to create predictive models, but rather to assist businesses in making better decisions based on their data. This course would be a great starting place for someone interested in learning more about data analysis and how to apply it in a business setting.

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Financial Analyst

Financial Analysts are responsible for preparing financial reports and providing recommendations on investment opportunities. They gather data from a variety of sources to create financial models that are used to make investment decisions. This course would help someone looking to work as a Financial Analyst by enhancing their data analysis and visualization skills.

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Investment Analyst

Investment Analysts are responsible for researching and evaluating investment opportunities. They use financial data and models to make recommendations to clients on where to invest their money. This course would be useful to someone looking to work as an Investment Analyst by providing a solid understanding of financial data analysis and investment decision-making.

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Business Analyst

Business Analysts are responsible for analyzing business processes and making recommendations on how to improve efficiency and effectiveness. They use data analysis techniques to identify problems and opportunities within a business, and the skills to communicate their findings to stakeholders. This course would be useful to someone looking to work as a Business Analyst by providing a solid foundation in data analysis and problem-solving techniques.

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Management Consultant

Management Consultants are responsible for providing advice to businesses on how to improve their operations and achieve their goals. They use data analysis and problem-solving techniques to identify problems and opportunities within a business, and the skills to communicate their findings to stakeholders. This course would be useful to someone looking to work as a Management Consultant by providing a solid foundation in data analysis and problem-solving techniques.

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Software Developer

Software Developers are responsible for designing, developing, and maintaining software applications. They use a variety of programming languages and technologies to create software that meets the needs of businesses and consumers. This course would be useful to someone looking to work as a Software Developer by providing a foundation in data analysis techniques.

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Operations Research Analyst

Operations Research Analysts are responsible for using mathematical and analytical techniques to solve problems in business and industry. They use data analysis techniques to identify problems and opportunities within a business, and the skills to develop and implement solutions. This course would be useful to someone looking to work as an Operations Research Analyst by providing a foundation in data analysis techniques.

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Systems Analyst

Systems Analysts are responsible for analyzing and designing computer systems. They use data analysis techniques to identify problems and opportunities within a business, and the skills to develop and implement solutions. This course would be useful to someone looking to work as a Systems Analyst by providing a foundation in data analysis techniques.

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Financial Controller

Financial Controllers are responsible for overseeing the financial operations of a business. They prepare financial reports, manage cash flow, and develop financial plans. This course would be useful to someone looking to work as a Financial Controller by providing a foundation in data analysis and financial reporting.

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Statistician

Statisticians are responsible for collecting, analyzing, and interpreting data. They use statistical techniques to draw conclusions about the world around us. This course would be useful to someone looking to work as a Statistician by providing a foundation in data analysis and statistical modeling.

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Actuary

Actuaries are responsible for assessing and managing financial risks. They use mathematical and statistical techniques to develop models that are used to price insurance policies and make investment decisions. This course would be useful to someone looking to work as an Actuary by providing a foundation in data analysis and financial modeling.

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Auditor

Auditors are responsible for examining and evaluating financial records to ensure that they are accurate and complete. They use data analysis techniques to identify any discrepancies or irregularities. This course would be useful to someone looking to work as an Auditor by providing a foundation in data analysis techniques.

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