About this Professional Certificate
Data science is making us smarter and more innovative in so many ways. How does it all work? In this
you will gain insight into the latest data science tools and their application in finance, health care, product development, sales and more. With real world examples, we will demonstrate how data science can improve corporate decision-making and performance, personalize medicine and advance your career goals.
Taught by a distinguished team of professors at Columbia University’s Data Science Institute, this program is perfect for anyone who wants to understand basic concepts in data science without getting into the weeds of programming. Aimed at organization leaders, business managers, health care professionals and anyone considering a career in data science, this program will steep learners in the fundamentals of statistics, machine learning and algorithms. It will also introduce emerging technologies such as the Internet of Things (IoT) , or wirelessly connected products, and techniques that allow computers to summarize mountains of text, audio and video. Concrete examples provided throughout the program will ensure that learners fully grasp and master key concepts.
What you'll learn
- The history of data science, tangible illustrations of how data science and analytics are used in decision making across multiple sectors today, and expert opinion on what the future might hold
- A practical understanding of the fundamental methods used by data scientists including; statistical thinking and conditional probability, machine learning and algorithms, and effective approaches for data visualization
- The major components of the Internet of Things (IoT) and the potential of IoT to totally transform the way in which we live and work in the not-to-distant future
- How data scientists are using natural language processing (NLP), audio and video processing to extract useful information from books, scientific articles, twitter feeds, voice recordings, YouTube videos and much more
| From | Columbia University, ColumbiaX via edX |
|---|---|
| Hours | 8 |
| Instructors | Eva Ascarza, James Curley, Andrew Gelman, Lauren Hannah, David Madigan, Tian Zheng, Shih-Fu Chang, Michael Collins, Julia Hirschberg, Fred Jiang, Zoran Kostic, Kathy McKeown, Professor Ansaf Salleb-Aouissi, Cliff Stein, David Blei, Itsik Peer, Mihalis Yannakakis, Peter Orbanz, Ansaf Salleb-Aouissi |
| Language | English |
| Subjects | Business Programming Data Science |
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Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
AD, Data Science $47k
Associate Data Science Supervisor $55k
Science writer / data analyst $63k
Genomic Data Science Programmer $75k
Volunteer Director of Data Science $78k
Expert Data Science Supervisor $79k
Supervisor 1 Data Science Supervisor $91k
Guest Director of Data Science $101k
Data Science Architect $105k
Head of Data Science $131k
Assistant Director 1 of Data Science $133k
Owner Director of Data Science $149k
Courses in this Professional Certificate
Listed in the order in which they should be taken
| Starts | Course Information | |
|---|---|---|
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On Demand |
Statistical Thinking for Data Science and Analytics This statistics and data analysis course will pave the statistical foundation for our discussion on data science. You will learn how data scientists exercise statistical thinking... edX | Columbia University, ColumbiaX |
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On Demand |
Enabling Technologies for Data Science and Analytics: The Internet of Things The Internet of Things is rapidly growing. It is predicted that more than 25 billion devices will be connected by 2020. In this data science course, you will learn about the major... edX | Columbia University, ColumbiaX |
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On Demand |
Machine Learning for Data Science and Analytics Machine Learning is a growing field that is used when searching the web, placing ads, credit scoring, stock trading and for many other applications. This data science course is an... edX | Columbia University, ColumbiaX |
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&
| From | Columbia University, ColumbiaX via edX |
|---|---|
| Hours | 8 |
| Instructors | Eva Ascarza, James Curley, Andrew Gelman, Lauren Hannah, David Madigan, Tian Zheng, Shih-Fu Chang, Michael Collins, Julia Hirschberg, Fred Jiang, Zoran Kostic, Kathy McKeown, Professor Ansaf Salleb-Aouissi, Cliff Stein, David Blei, Itsik Peer, Mihalis Yannakakis, Peter Orbanz, Ansaf Salleb-Aouissi |
| Language | English |
| Subjects | Business Programming Data Science |
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
AD, Data Science $47k
Associate Data Science Supervisor $55k
Science writer / data analyst $63k
Genomic Data Science Programmer $75k
Volunteer Director of Data Science $78k
Expert Data Science Supervisor $79k
Supervisor 1 Data Science Supervisor $91k
Guest Director of Data Science $101k
Data Science Architect $105k
Head of Data Science $131k
Assistant Director 1 of Data Science $133k
Owner Director of Data Science $149k
Similar Courses
Sorted by relevance
