Coursera - Data Analysis (2013)
Coursera - Data Analysis (2013)
MP4 | AVC 41kbps | English | 960x540 | 30fps | 12h 36mins | AAC stereo 111kbps | 949 MB
Genre: Video Training
This course is an applied statistics course focusing on data analysis. The course will begin with an overview of how to organize, perform, and write-up data analyses. Then we will cover some of the most popular and widely used statistical methods like linear regression, principal components analysis, cross-validation, and p-values. Instead of focusing on mathematical details, the lectures will be designed to help you apply these techniques to real data using the R statistical programming language, interpret the results, and diagnose potential problems in your analysis. You will also have the opportunity to critique and assist your fellow classmates with their data analyses.
Course Content:
The structure of a data analysis (steps in the process, knowing when to quit, etc.)
Types of data (census, designed studies, randomized trials)
Types of data analysis questions (exploratory, inferential, predictive, etc.)
How to write up a data analysis (compositional style, reproducibility, etc.)
Obtaining data from the web (through downloads mostly)
Loading data into R from different file types
Plotting data for exploratory purposes (boxplots, scatterplots, etc.)
Exploratory statistical models (clustering)
Statistical models for inference (linear models, basic confidence intervals/hypothesis testing)
Basic model checking (primarily visually)
The prediction process
Study design for prediction
Cross-validation
A couple of simple prediction models
Basics of simulation for evaluating models
Ways you can fool yourself and how to avoid them (confounding, multiple testing, etc.)
Format : MPEG-4
Format profile : Base Media
Codec ID : isom
File size : 28.6 MiB
Duration : 24mn 49s
Overall bit rate : 161 Kbps
Encoded date : UTC 1970-01-01 00:00:00
Tagged date : UTC 1970-01-01 00:00:00
Writing application : Lavf53.29.100
Video #1
ID : 1
Format : AVC
Format/Info : Advanced Video Codec
Format profile : High@L3.1
Format settings, CABAC : Yes
Format settings, ReFrames : 4 frames
Codec ID : avc1
Codec ID/Info : Advanced Video Coding
Duration : 24mn 49s
Bit rate mode : Variable
Bit rate : 41.8 Kbps
Width : 960 pixels
Height : 540 pixels
Display aspect ratio : 16:9
Frame rate mode : Constant
Frame rate : 30.000 fps
Resolution : 24 bits
Colorimetry : 4:2:0
Scan type : Progressive
Bits/(Pixel*Frame) : 0.003
Stream size : 7.43 MiB (26%)
Writing library : x264 core 120 r2120 0c7dab9
Encoding settings : cabac=1 / ref=3 / deblock=1:0:0 / analyse=0x3:0x113 / me=hex / subme=7 / psy=1 / psy_rd=1.00:0.00 / mixed_ref=1 / me_range=16 / chroma_me=1 / trellis=1 / 8x8dct=1 / cqm=0 / deadzone=21,11 / fast_pskip=1 / chroma_qp_offset=-2 / threads=12 / sliced_threads=0 / nr=0 / decimate=1 / interlaced=0 / bluray_compat=0 / constrained_intra=0 / bframes=3 / b_pyramid=2 / b_adapt=1 / b_bias=0 / direct=1 / weightb=1 / open_gop=0 / weightp=2 / keyint=250 / keyint_min=25 / scenecut=40 / intra_refresh=0 / rc_lookahead=40 / rc=crf / mbtree=1 / crf=28.0 / qcomp=0.60 / qpmin=0 / qpmax=69 / qpstep=4 / ip_ratio=1.40 / aq=1:1.00
Encoded date : UTC 1970-01-01 00:00:00
Tagged date : UTC 1970-01-01 00:00:00
Audio #2
ID : 2
Format : AAC
Format/Info : Advanced Audio Codec
Format version : Version 4
Format profile : LC
Format settings, SBR : No
Codec ID : 40
Duration : 24mn 49s
Bit rate mode : Variable
Bit rate : 111 Kbps
Maximum bit rate : 128 Kbps
Channel(s) : 2 channels
Channel positions : L R
Sampling rate : 44.1 KHz
Resolution : 16 bits
Stream size : 19.7 MiB (69%)
Encoded date : UTC 1970-01-01 00:00:00
Tagged date : UTC 1970-01-01 00:00:00
Coursera - Data Analysis (2013)
Coursera - Data Analysis (2013)
Coursera - Data Analysis (2013)
No mirrors please