Tina W. on LinkedIn: FINRA Data Analytics- People and Culture (Cohort 4) was issued by… (2024)

Hi connectionsData science involves extracting insights and knowledge from structured and unstructured data through a combination of statistics, machine learning, and domain expertise. It plays a crucial role in informing decision-making and solving complex problems across various industries.

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Data science involves extracting insights and knowledge from data through various techniques, including statistics, machine learning, and data analysis

Data science: Extracting insights from data through statistical analysis, machine learning, and data visualization to inform decision-making and solve problems.

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Glad to have completed the first certificate course on my journey to use AI and ML in Financial analysis with an emphasis on merging quantitative and qualitative analysis for trading. #ai #trading #ml #fiance

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Data Science: Unlocking Insights from InformationIn today's digital era, an overwhelming amount of data is being generated and collected across various domains, from business and healthcare to education and entertainment. Amidst this data deluge, the field of data science has emerged as a critical discipline for extracting valuable insights and making informed decisions. Let's explore what data science is all about and why it holds such significance.Data science can be defined as the interdisciplinary field that combines scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It encompasses a wide range of techniques, including data mining, machine learning, statistical analysis, and visualization, to uncover patterns, trends, and correlations within

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The next generation of data leaders will have far-reaching roles that impact strategy, decision-making, operations, and countless other functions. #datascience #dataanalytics #analytics #ai #deeplearning #data

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🧠 Data Modeling & Analysis first, then Data ScienceEver wondered how our brains forge links? The intricate web of synapses, formed from experience and learning, resembles the journeys of data modeling, analysis and science. Sifting through vast volumes of unstructured data might seem overwhelming. Yet, much like the synapses in our brains, the relationships between data elements accumulate over time. Then, in a flash, there's that electrifying 'aha' moment where business insights bursts forth, and value is generated.While ML and AI bring robust tools for brute-forcing answers, they're not the silver bullet some might believe.For instance, when a new product or sales process is developed, you may have lot's of market data, but without feedback data, prediction models won't help, and the way to build the first synapses is the good and old data modeling and analysis processes.Much like this, consider the development of a child's brain. In the early stages of life, the brain is at full potential, while forming its initial synapses. However, it's through the directed guidance and stimuli provided by their parents and environment that the first connections take shape, setting the stage for the robust feedback process that unfolds in subsequent phases.In summation, while data science is a formidable ally, the elegance and depth of traditional data modeling and analysis shouldn't be overshadowed. Recognizing when to harness each method is the true mark of data expertise.#dataanalytics #datascience #datamodeling

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Business insights help leaders, managers, and decision-makers to make better decisions for organisations across the industry. Find out how statistics, data science, and machine learning help us to get data insights for business..ConsultivoBlog -https://lnkd.in/gcjP_UhD..#Consultivo#TogetherForABetterTomorrow#businessinsights#dataanalytics#datascience#ai#machinelearning#bigdata#digitaltransformation#business#decisionmaking

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DATA SCIENCE #snsinstitutions #snsdesignthinking #snsdesignthinkers Data science empowers insights from vast datasets, extracting valuable information for informed decision-making. Through statistical analysis, machine learning, and artificial intelligence, it unveils patterns, trends, and correlations. The synergy of programming skills, domain knowledge, and statistical expertise drives the field. From predicting stock prices to healthcare advancements, data science permeates diverse industries. Ethical considerations around data privacy and biases underscore its societal impact. As a dynamic discipline, data science continuously evolves, enhancing our ability to leverage data for innovation and problem-solving, fostering a data-driven future.

📊 🔎 Most important asset in IT world is #Data and Its #SecurityOne can use it to grow 🕺 in a firm and help a firm to grow 🏢 #growtogether #ai #ml #dataanalytics #dataanlysis #machinelearning #artificialintelligenceforbusiness

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