Search result for Online data science course Online Courses & Certifications
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Data Science and Machine Learning with Python and Libraries
by The Data X Startup- 4.3
7 hours on-demand video
Learn Data Science and Machine Learning with Python and Libraries such as Numpy, Matplotlib, Pandas and much more WHAT IS DATA SCIENCE The need for data science An immediate question that rises in the mind after hearing about data science is why is there a need to dig into depths for such a tool?...
$11.99
Understanding and Visualizing Data with Python
by Brenda Gunderson , Brady T. West , Kerby Shedden- 4.7
Approx. 20 hours to complete
In this course, learners will be introduced to the field of statistics, including where data come from, study design, data management, and exploring and visualizing data. (Cool Stuff in) Data Where Do Data Come From? Data Types in Python Introduction to Libraries and Data Management Course Syllabus Meet the Course Team!...
How Computers Work
by Dr Marco Gillies- 4.6
Approx. 10 hours to complete
Taking this course could be the start of your career in computer science, and the course is an introduction to the Bachelors in Computer Science from University of London, but it is also for you if you just want to learn a little computer science to help you better understand the computers you use in your ordinary life....
Assessment for Learning
by Dr William Cope , Dr Mary Kalantzis- 4.5
Approx. 14 hours to complete
Participants will be required to consider issues of data access, privacy and the challenges raised by ‘big data’ including data persistency and student profiling. Additional online resources are available here: Take this Course for Credit at the University of Illinois Course Orientation + Intelligence Tests Educational Data Mining + Evaluation Using Data to Analyze Learning...
2021 Data Science & Machine Learning with R from A-Z Course
by Juan E. Galvan- 4.5
22 hours on-demand video
Early Bird Release for the full upcoming 2021 Learn Data Science and Machine Learning with R from A-Z course! The course covers practical issues in statistical computing which include programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting on R code....
$12.99
Big Data Modeling and Management Systems
by Ilkay Altintas , Amarnath Gupta- 4.4
Approx. 13 hours to complete
This course provides techniques to extract value from existing untapped data sources and discovering new data sources. * Design a big data information system for an online game company This course is for those new to data science. Why is this a New Course in the Big Data Specialization? Designing a Big Data Management System for an Online Game...
Bioconductor for Genomic Data Science
by Kasper Daniel Hansen, PhD- 3.9
Approx. 9 hours to complete
This is the fifth course in the Genomic Big Data Specialization from Johns Hopkins University. Useful Online Resources Pre Course Survey rtracklayer - Data Import Basic Data Types Getting data into Bioconductor Post Course Survey...
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Learning to Teach Online
by Associate Professor Simon McIntyre , Dr Negin Mirriahi- 4.7
Approx. 18 hours to complete
You will also be encouraged to progressively design and reflect upon your own online learning activity, assessment or resource for use in your own class if you choose to undertake the course assignments. How to generate community in an online course that students start whenever each one enrols? Can you recommend online course analytics?...
R Programming
by Roger D. Peng, PhD , Jeff Leek, PhD , Brian Caffo, PhD- 4.5
Approx. 57 hours to complete
In this course you will learn how to program in R and how to use R for effective data analysis. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Course Supplement: The Art of Data Science...
Understanding User Needs
by Kentaro Toyama- 4.7
Approx. 11 hours to complete
In this UX course we will focus on how to interact with users (or potential users) to understand what they need, what they currently do, what they love and hate, and examine human capabilities and behavior as they relate to UX design. Learners will be introduced to numerous techniques to gather data from and about users. Course Syllabus...