Selection: FutureBiotech: Statistics and Data analysis

Author: Grigory Sapunov
Course
Description
Dates
1
Computing_b-02
Computing_b-02
Roger Peng
Johns Hopkins University
Medicine & Health Mathematics, Statistics and Data Analysis
Gb Paid Free
Course added: long ago
This course is about learning the fundamental computing skills necessary for effective data analysis. You will learn to program in R and to use R for reading data, writing functions, making informative graphs, and applying modern statistical methods. In this course you will learn how to program in R...
23 September 2013, 4 weeks
Favored by 1 person
2
Data_b-02
Data_b-02
Jeff Leek
Johns Hopkins University
Medicine & Health Mathematics, Statistics and Data Analysis
Gb Free
Course added: long ago
Learn about the most effective data analysis methods to solve problems and achieve insight. You have probably heard that this is the era of “Big Data”. Stories about companies or scientists using data to recommend movies, discover who is pregnant based on credit card receipts, or confirm the existence...
28 October 2013, 8 weeks
Favored by 3 people
3
Bootcamp_b-02
Bootcamp_b-02
This class presents the fundamental probability and statistical concepts used in elementary data analysis. It will be taught at an introductory level for students with junior or senior college-level mathematical training including a working knowledge of calculus. A small amount of linear algebra and...
16 April 2013, 7 weeks
18 November 2013, 7 weeks
3 March 2014, 7 weeks
16 June 2014, 7 weeks
24 November 2014, 7 weeks
23 March 2015, 7 weeks
13 July 2015, 7 weeks
Favored by 3 people
4
Bootcamp2_b-02
Bootcamp2_b-02
Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples. This class presents fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples. Students having taken this class should be able...
30 September 2013, 7 weeks
6 January 2014, 7 weeks
28 April 2014, 7 weeks
4 August 2014, 7 weeks
19 January 2015, 7 weeks
18 May 2015, 7 weeks
21 September 2015, 7 weeks
Favored by 3 people
5
Ph207x-listing-banner
Ph207x-listing-banner
PH207x is the online adaptation of material from the Harvard School of Public Health's classes in epidemiology and biostatistics. About this Course *Note - This is an Archived course* This is a past/archived course. At this time, you can only explore this course in a self-paced fashion. Certain features...
15 October 2012, 13 weeks
6
Course-logo
Course-logo
Andrew Conway
Princeton University
Mathematics, Statistics and Data Analysis
Gb Free
Course added: long ago
Statistics One is a comprehensive yet friendly introduction to statistics. Statistics One is designed to be a comprehensive yet friendly introduction to fundamental concepts in statistics. Comprehensive means that this course provides a solid foundation for students planning to pursue more advanced courses...
Details to be announced
Favored by 4 people
7
Stat2.1x-262x136_verified
Stat2.1x-262x136_verified
An introduction to descriptive statistics, emphasizing critical thinking and clear communication. About this Course *Note - This is an Archived course* This is a past/archived course. At this time, you can only explore this course in a self-paced fashion. Certain features of this course may not be active...
24 February 2014, 5 weeks
Favored by 4 people
8
Stat22_262x136_verified
Stat22_262x136_verified
An introduction to probability, with the aim of developing probabilistic intuition as well as techniques needed to analyze simple random samples. About this Course *Note - This is an Archived course* This is a past/archived course. At this time, you can only explore this course in a self-paced fashion...
14 April 2014, 5 weeks
Favored by 3 people
9
Stat23_262x136_verified
Stat23_262x136_verified
An introduction to statistical ideas and methods commonly used to make valid conclusions based on data from random samples. About this Course *Note - This is an Archived course* This is a past/archived course. At this time, you can only explore this course in a self-paced fashion. Certain features of...
2 June 2014, 5 weeks
Favored by 3 people
10
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Join the data revolution. Companies are searching for data scientists. This specialized field demands multiple skills not easy to obtain through conventional curricula. Introduce yourself to the basics of data science and leave armed with practical experience extracting value from big data. #uwdatasci...
30 June 2014, 8 weeks
Favored by 7 people
11
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Tejwuxziggaiuavtti69tdhkrrs9dobngvbhe487isvn38fgj-tmdlffwmqd_obde4f_fqelato3tziadw=s0#w=436&h=268
Get ready to analyze, visualize, and interpret data! Thought-provoking examples and chances to combine statistics and programming will keep you engaged and challenged.
Free schedule
Favored by 2 people
12
_yy2hpkgptwoavyz1alxuduszvmbmy8erkbloh827e0--j9t62wsg6mdh8etg8oyqrror55kn0sruaekzs4=s0#w=436&h=268
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We live in a time of unprecedented access to information. You'll learn how to use statistics to interpret that information and make decisions.
Free schedule
Favored by 1 person
13
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What does a data scientist do? In this course, we will survey the main topics in data science so you can understand the skills that are needed to become a data scientist!
Free schedule
Favored by 1 person
14
Lmdonphvisppe4bgif9a5uaecm_78f0s6egr2hmvw5hnqgluornnjcfpsnhbugvokcpfn0wasysqytt52ely=s0#w=1725&h=1060
Lmdonphvisppe4bgif9a5uaecm_78f0s6egr2hmvw5hnqgluornnjcfpsnhbugvokcpfn0wasysqytt52ely=s0#w=1725&h=1060
Data is everywhere and so much of it is unexplored. Learn how to investigate and summarize data sets using R and eventually create your own analysis.
Free schedule
Favored by 1 person
15
Jjc55ckwloph2koysqtvwd8hc4vzfodhg-x5jxcvfkth-dkw_id8zy9ax2w8opvyr6ioyoevprvclihvmde=s0#w=1725&h=1060
Jjc55ckwloph2koysqtvwd8hc4vzfodhg-x5jxcvfkth-dkw_id8zy9ax2w8opvyr6ioyoevprvclihvmde=s0#w=1725&h=1060
In this short course, learn the fundamentals of MapReduce and Apache Hadoop to start making sense of Big Data in the real world!
Free schedule
Favored by 2 people
16
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Data Scientists spend most of their time cleaning data. In this course, you will learn to convert and manipulate messy data to extract what you need.
Free schedule
Favored by 1 person
17
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Andrew Ng, Associate Professor
Stanford University
Computer Science Mathematics, Statistics and Data Analysis
Gb Free
Course added: long ago
Learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. Machine Learning is now available in Coursera’s on demand format! To watch videos and complete assignments at your own pace, join the on demand course now at: https:...
Details to be announced
Favored by 7 people
18
Caltech_data_262x136_0
Caltech_data_262x136_0
CaltechX
Computer Science
Gb Free
Course added: 15 September 2013
Introductory Machine Learning course covering theory, algorithms and applications. Our focus is on real understanding, not just "knowing." About this Course This is an introductory course in machine learning (ML) that covers the basic theory, algorithms, and applications. ML is a key technology in Big...
25 September 2014, 10 weeks
Favored by 3 people
19
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Daphne Koller, Professor
Stanford University
Computer Science
Gb Free
Course added: long ago
In this class, you will learn the basics of the PGM representation and how to construct them, using both human knowledge and machine learning techniques. What are Probabilistic Graphical Models? Uncertainty is unavoidable in real-world applications: we can almost never predict with certainty what will...
8 April 2013, 11 weeks
Favored by 2 people

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