hi fellow devs,
So I have recently completed my bsc degree in Computer Science and have recently started an internship. My biggest issue right now is I have been given a Data Science project, mind you I have no knowledge in data science so I am kind of confused on where to begin, and wanted to know if there are any free data science courses online. can somebody help me :) .
Top comments (8)
When you say data science, do you mean machine learning type stuff, or statistical analysis, our something else? Data science can be a pretty broad field
I mean in statistical terms as I am working with a large amount of data
Coursera has a bunch of courses on data science, coming at it from different angles. It looks like most of them were produced by IBM for their IBM Data Science Professional Certificate track, which has 9 courses, but you can do the courses for free if you don't care about their certificate thing. Several of them are focused on Python, which I can confirm from personal experience is very nice to work with for data science applications, but there are others that seem to focus on more foundational/theoretical aspects, like Data Science Methodology.
thank you so much, this has helped me a whole lot
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Data is everywhere, which is growing exponentially globally, and this may still grow at an accelerating rate for the foreseeable future. Businesses generate massive amounts of data within the type of blogs, messages, transaction documents, mobile device data, social media, etc. By using this data effectively, a firm can create vital value and grow their economy by enhancing productivity, increasing efficiency, and delivering more value to consumers.
Data Science helps in combining the disruption into categories and communicating their potential, which allows data and analytics leaders to drive better results. Top businesses thought there is a necessity to research the data for significant benefits. They use the insights from data for the advantage of users.
Human deciding is becoming increasingly inadequate to pander to a never-ending expansion of the data . However, Data Science and Machine Learning are excelling in solving highly complex data-rich problems. To think beyond the human brain and maintain the balance with the knowledge that's evolved, disrupted, and being employed the sectors altogether, data scientists foster new methodologies. Data scientists must try 'big data expeditions' to explore the data for previously undiscovered value - the first common application of data science. Typical applications include marketing segmentation, advertising, tweaking dynamic pricing models, or banks finding risks and adjusting the financial risk models.
What are the Tools utilized in Data Science?
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Data Science Training in Hyderabad
Data Science Course Training in Hyderabad
Advanced-Data science training with Free Internship & 100% Placement Assistance
About the Data Science course Training in Hyderabad
Data is everywhere, which is growing exponentially globally, and this may still grow at an accelerating rate for the foreseeable future. Businesses generate massive amounts of data within the type of blogs, messages, transaction documents, mobile device data, social media, etc. By using this data effectively, a firm can create vital value and grow their economy by enhancing productivity, increasing efficiency, and delivering more value to consumers.
Data Science helps in combining the disruption into categories and communicating their potential, which allows data and analytics leaders to drive better results. Top businesses thought there is a necessity to research the data for significant benefits. They use the insights from data for the advantage of users.
Human deciding is becoming increasingly inadequate to pander to a never-ending expansion of the data . However, Data Science and Machine Learning are excelling in solving highly complex data-rich problems. To think beyond the human brain and maintain the balance with the knowledge that's evolved, disrupted, and being employed the sectors altogether, data scientists foster new methodologies. Data scientists must try 'big data expeditions' to explore the data for previously undiscovered value - the first common application of data science. Typical applications include marketing segmentation, advertising, tweaking dynamic pricing models, or banks finding risks and adjusting the financial risk models.
What are the Tools utilized in Data Science?
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About : Data Science Course Training in Hyderabad
Data Science is a field that blends various scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It leverages techniques from statistics, mathematics, and computer science to solve complex problems and make data-driven decisions.
Data Science involves the use of statistical techniques, algorithms, and technology to analyze and interpret complex data sets. It incorporates aspects from multiple disciplines, such as mathematics, statistics, computer science, and specialized domain knowledge.
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to derive insights and knowledge from both structured and unstructured data. It combines elements from statistics, computer science, and domain expertise to analyse data and make informed decisions.
Data science is a dynamic and interdisciplinary field that plays a crucial role in transforming raw data into actionable insights, driving innovation, and enhancing decision-making across various domains.
what are the key Components of Data Science ?
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