Coursera - Data Analysis
WEBRip | English | MP4 + PDF Slides | 960 x 540 | AVC ~33.8 kbps | 30 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | Subs: English (.srt) | 12h 36mn | 949 MB
AAC | 128 Kbps | 44.1 KHz | 2 channels | Subs: English (.srt) | 12h 36mn | 949 MB
Genre: eLearning Video / Programming
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.)
also You can watch my other last: Programming-posts
General
Complete name : 006_3 - 4 - Representing Data (1842).mp4
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Duration : 18mn 42s
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Encoded date : UTC 1970-01-01 00:00:00
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Complete name : 006_3 - 4 - Representing Data (1842).mp4
Format : MPEG-4
Format profile : Base Media
Codec ID : isom (isom/iso2/avc1/mp41)
File size : 22.8 MiB
Duration : 18mn 42s
Overall bit rate : 170 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
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 : 18mn 42s
Bit rate : 33.8 Kbps
Width : 960 pixels
Height : 540 pixels
Display aspect ratio : 16:9
Frame rate mode : Constant
Frame rate : 30.000 fps
Color space : YUV
Chroma subsampling : 4:2:0
Bit depth : 8 bits
Scan type : Progressive
Bits/(Pixel*Frame) : 0.002
Stream size : 4.53 MiB (20%)
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
ID : 2
Format : AAC
Format/Info : Advanced Audio Codec
Format profile : LC
Codec ID : 40
Duration : 18mn 42s
Bit rate mode : Constant
Bit rate : 128 Kbps
Channel(s) : 2 channels
Channel positions : Front: L R
Sampling rate : 44.1 KHz
Frame rate : 43.066 fps (1024 spf)
Compression mode : Lossy
Stream size : 17.1 MiB (75%)
Default : Yes
Alternate group : 1
Encoded date : UTC 1970-01-01 00:00:00
Tagged date : UTC 1970-01-01 00:00:00
Screenshots
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