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The future of data science

What is the future of data science? Find out by watching the video in this step
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Humans are social creatures and we learn and develop the knowledge necessary to survive and adapt through our shared experiences. Storytelling has always been a part of our programming. Stories are relatable and relevant to human experience. Stories provide us insight and new perspective. In today’s age of information, we look to the power of data to tell us new stories as we gather round the flickering light once again, yearning to gain new understanding about ourselves and our place in the world. As with language, STEM, art and philosophy, data science, through the application of analytics and the use of machine learning, provides us with a powerful set of tools with which to describe the world around us through data.
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Today’s big data will only grow bigger and this presents exciting new opportunities to discover what stories this data is telling us. What problems might it solve, and what warnings could it signal? Across all sectors, organisations have recognised the importance and value of data which has fueled the rapidly growing demand for data scientists. As more companies grow from the benefits that come from data driven insights, so too does the need to expand data analytics teams. Leading data scientists suggest this growth may drive an increasing need for specialist expertise and roles that are able to collaborate as part of a large team, allowing individuals to focus on fewer tasks rather than manage all the tasks required in the data science life cycle.
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This creates opportunities for data scientists, analysts, programmers, and business decision makers of varying levels, specialties and backgrounds. Which is why this field is fast becoming an attractive area of study and an exciting career prospect that many are making the transition towards. Essential skills for the data scientists of tomorrow will include algorithm and software engineering, statistical data mining and data visualisation, machine learning and knowledge of databases. As well as combining the soft skills of strong communication, problem solving and a good understanding of sector specific trends. The sources of existing big data are set for rapid expansion with approximately 7 billion connected Internet of Things.
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Devices predicted to increase beyond 21 billion within the coming decade, combined with new innovations in hardware technology, data will become even richer and more varied. This rise and rich and accessible data is set to facilitate an exponential increase in the effectiveness and accessibility of machine learning algorithms, increasing the precision and accuracy of predictive models and their deployment across new and exciting fields. Lowering the barriers and skills required to implement data science solutions, allowing for a greater integration into business processes. Through deep learning, data science is unlocking the power of data using AI solutions solutions that we may depend upon for future monitoring and management of infectious disease and global pandemics.
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Where accurate data modelling and time critical decision making is crucial to mitigating lots of life and the impact of economic damage. Data science will be called upon to provide insight and solutions to some of the biggest problems mankind is likely to face. As Data Scientists you will help shape the way we live and craft the stories that would inspire generations to come.

You have learned the core skills in data science as you have progressed through this course.

Data science as a discipline is relatively young, and continues to evolve as existing processes are refined, and new approaches developed as we see with advances in machine learning and artificial intelligence.

Your task

You will now watch our final video in the course where we consider the future direction of data science.
What direction do you think that data science will go in? Do you agree with the position in the video?
Please share your thoughts with your fellow learners.
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Applied Data Science

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