Exerço a função de Technical Research Writer na empresa de engenharia sustentável Helpful Engineering (Ohio), onde elaboro e acompanho publicações de artigos e whitepapers.
Tenho três livros jurídicos publicados: “Direito Sumular – STF” (1.002 páginas), “Direito Sumular – STJ” (893 páginas) e “Direito Bancário” (320 páginas). Os dois primeiros livros têm Prefácio escrito por Luis Fux, que é Ministro da Justiça do Supremo Tribunal Federal. O terceiro livro é sobre Direito Bancário e tem Prefácio escrito por Luis Felipe Salomão, que é Ministro da Justiça do Superior Tribunal de Justiça.
This pedagogical endeavor is tailored to accommodate individuals harboring a desire to acquire a comprehensive comprehension of the unfolding data science paradigm. The central aspiration of this instructional undertaking is to expedite an efficient assimilation of the fundamental tenets of data science, devoid of any superfluous embellishments.
This course, developed at the Darden School of Business at the University of Virginia, and delivered by Professor of Business Administration Raj Venkatesan, explores an important frontier of digital transformation in marketing. It examines three key forces that enable AI in marketing strategies - Algorithms, Networks, and Data - for a deeper understanding of how businesses in a wide variety of industries can get the most out of this exciting technology.
This educational journey offers an exploration of the various applications embedded within the domain of natural language Participants will gain a foundational understanding of the essentials underpinning social media analytics. Additionally, this course opens windows to the future by delving into emerging trends and the expansive horizons that the realm of data science holds. Upon completion, participants will emerge equipped to wield newfound knowledge in deciphering the intricacies of natural language processing, analyzing social media dynamics, and embracing the exciting potentials that lie ahead in the world of data science.
This course offers participants a comprehensive platform to delve into the intricate realm of a junior or associate data analyst's daily operations. Through an immersive experience, participants will develop crucial analytical skills encompassing data cleansing, meticulous analysis, and insightful visualization. Moreover, participants will gain proficiency in vital tools including spreadsheets, SQL, R programming, and Tableau.
This course delves into real-world data science and effective team management. Contrasting idealized scenarios with practical complexities, gain insights to navigate challenges. Emphasizing managerial skills over technicalities, empower data leaders to describe ideal data science, evaluate designs, address retrieval pitfalls, communicate analyses, and understand the manager's role. Covering key concepts, including experimental design, causal inference, and bias mitigation, this program is tailored for active data science managers.
This course delineates the meticulous procedure of data analysis and the art of overseeing this intricate process. The discourse encompasses a comprehensive elucidation of the iterative facets inherent to data analysis, as well as the pivotal function of formulating precise inquiries, undertaking exploratory data analysis, conducting inference, engaging in formal statistical modeling, facilitating interpretation, and effectinguate communication of findings.
Bacharel em Direito
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