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Data Analysis and Representation, Selection and Iteration
by Dr. Tim "Dr. T" Chamillard- 4.7
Approx. 11 hours to complete
This course is the second course in the specialization exploring both computational thinking and beginning C programming. This course assumes you have the prerequisite knowledge from the previous course in the specialization. You should make sure you have that knowledge, either by taking that previous course or from personal experience, before tackling this course. Course Introduction Navigating a Coursera Course...
Managing Data Analysis
by Jeff Leek, PhD , Brian Caffo, PhD , Roger D. Peng, PhD- 4.6
Approx. 9 hours to complete
This one-week course describes the process of analyzing data and how to manage that process. This is a focused course designed to rapidly get you up to speed on the process of data analysis and how it can be managed. Course cover image by fdecomite. What this Course is About Course Textbook: The Art of Data Science...
Designing the Organization
by Michael Bednar , E. Geoffrey Love- 4.6
Approx. 13 hours to complete
This course is part of Gies College of Business’ suite of online programs, including the iMBA and iMSM. Learn more about admission into these programs and explore how your Coursera work can be leveraged if accepted into a degree program at https://degrees. Course Orientation Welcome to the Course Get Your Course Certificate...
Accounting Analysis I: The Role of Accounting as an Information System
by Gregory L. Davis, CPA, CMA, CFM, CCM- 4.8
Approx. 26 hours to complete
To gain the most relevant knowledge from these courses, learners should have taken a basic accounting course prior to this Specialization (which can be done through Coursera courses, such as any accounting course from the Fundamentals of Accounting Specialization: https://www. Module 8: Course Wrap-Up & Case Study Course Wrap-Up and Case Study Introduction...
Introduction to Data Science in Python
by Christopher Brooks- 4.5
Approx. 31 hours to complete
This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. Introduction to the Course The Coursera Jupyter Notebook System...
Foundations of Everyday Leadership
by Jeffrey Loewenstein , Denise Lewin Loyd , Elizabeth A. Luckman- 4.8
Approx. 16 hours to complete
Central to the course is forming a nuanced understanding of why and how leadership skills are critical to an organization’s success. This course is part of Gies College of Business’ suite of online programs, including the iMBA and iMSM. Course Orientation Get Your Course Certificate...
Inferential Statistical Analysis with Python
by Brenda Gunderson , Brady T. West , Kerby Shedden- 4.6
Approx. 19 hours to complete
At the end of each week, learners will apply what they’ve learned using Python within the course environment. This course utilizes the Jupyter Notebook environment within Coursera. Course Syllabus Meet the Course Team! Course Feedback...
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Algorithms for Searching, Sorting, and Indexing
by Sriram Sankaranarayanan- 4.6
Approx. 34 hours to complete
This course covers basics of algorithm design and analysis, as well as algorithms for sorting arrays, data structures such as priority queues, hash functions, and applications such as Bloom filters. Algorithms for Searching, Sorting, and Indexing can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform....
Managing the Organization
by Michael Bednar , E. Geoffrey Love- 4.7
Approx. 13 hours to complete
This course is intended to help you become a better manager by helping you more fully understand and deal with the complexities and challenges associated with managerial life in organizations. Course Orientation Welcome to the course 6 Course Recap Get Your Course Certificate...
Machine Learning Algorithms: Supervised Learning Tip to Tail
by Anna Koop- 4.7
Approx. 9 hours to complete
This course takes you from understanding the fundamentals of a machine learning project. This is the second course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute. Introduction to the Course...