What is Data Science?

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About Course

What is Data Science?, Do you want to know why data science has been labeled the sexiest profession of the 21st century? After taking this course, you will be able to answer this question, understand what data science is and what data scientists do, and learn about career paths in the field. The art of uncovering insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and accurately predicted the Nile River’s flooding every year. Since then, people have continued to use data to derive insights and predict outcomes. Recently, they have carved out a unique and distinct field for the work they do. This field is data science. In today’s world, we use Data Science to find patterns in data and make meaningful, data-driven conclusions and predictions. This course is for everyone and teaches concepts like how data scientists use machine learning and deep learning and how companies apply data science in business. You will meet several data scientists, who will share their insights and experiences in data science. By taking this introductory course, you will begin your journey into this thriving field.

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What Will You Learn?

  • Define data science and its importance in today’s data-driven world.
  • Describe the various paths that can lead to a career in data science.
  • Summarize advice given by seasoned data science professionals to data scientists who are just starting out.
  • Explain why data science is considered the most in-demand job in the 21st century.

Course Content

What is Data Science

  • 001 01_course-syllabus_instructions.html
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  • 002 02_professional-certificate-career-support_instructions.html
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  • 007 01_what-is-data-science.mp4
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  • 012 02_fundamentals-of-data-science.mp4
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  • 017 03_the-many-paths-to-data-science.mp4
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  • 022 04_advice-for-new-data-scientists.mp4
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  • 023 05_lesson-summary_instructions.html
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  • 028 01_a-day-in-the-life-of-a-data-scientist.mp4
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  • 033 02_old-problems-new-problems-data-science-solutions.mp4
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  • 038 03_data-science-topics-and-algorithms.mp4
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  • 043 04_cloud-for-data-science.mp4
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  • 044 05_lesson-summary_instructions.html
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  • 047 01_foundations-of-big-data.mp4
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  • 050 02_what-is-hadoop.mp4
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  • 053 03_how-big-data-is-driving-digital-transformation.mp4
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  • 056 04_data-science-skills-big-data.mp4
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  • 059 05_data-scientists-at-new-york-university.mp4
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  • 060 06_lesson-summary_instructions.html
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  • 063 01_whats-the-difference.mp4
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  • 066 02_neural-networks-and-deep-learning.mp4
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  • 069 03_applications-of-machine-learning.mp4
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  • 070 04_lesson-summary_instructions.html
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  • 074 01_how-data-science-is-saving-lives.mp4
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  • 077 02_how-should-companies-get-started-in-data-science.mp4
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  • 080 03_applications-of-data-science.mp4
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  • 081 04_lesson-summary_instructions.html
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  • 084 01_how-can-someone-become-a-data-scientist.mp4
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  • 085 02_recruiting-for-data-science.mp4
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  • 088 03_careers-in-data-science.mp4
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  • 091 04_high-school-students-and-data-science-careers.mp4
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  • 092 05_lesson-summary_instructions.html
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  • 093 01_lesson-summary_instructions.html
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  • links.txt
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