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14+ < title > Data Science Specialization Course Notes by Xing Su</ title >
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30+ < h1 > Data Science Specialization Course Notes</ h1 >
31+ < h2 >
32+ Notes for all 9 courses in the < a href ="https://www.coursera.org/specialization/jhudatascience/1 "> Coursera Data Science Specialization</ a > from Johns Hopkins University
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62+ < a id ="datasciencespcoursenotes " class ="anchor " href ="#datasciencespcoursenotes " aria-hidden ="true ">
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65+ Happy Learning
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68+ < img class ="datascience " src ="https://s3.amazonaws.com/coursera/specializations/jhudatascience/logo.png " alt ="Data Science Specialization " width ="250px " height ="250px "> </ a >
69+ < br >
70+ < p >
71+ All notes are written in < strong > R Markdown</ strong > format and encompass all concepts covered in the < a href ="https://www.coursera.org/specialization/jhudatascience/1 "> Data Science Specialization</ a > , as well as additional examples and materials I compiled from lecture, my own exploration, < em > StackOverflow</ em > , and < em > Khan Academy</ em > .
72+ </ p >
73+
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75+ They are
< em > by no means perfect
</ em > , but feel free to
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> [email protected] </ a > if you have any questions.
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77+
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79+ All files are hosted in < a href ="https://github.com/sux13/DataScienceSpCourseNotes "> this</ a > repository.
80+ </ p >
81+ < br >
82+
83+ < table >
84+ < thead >
85+ < tr >
86+ < th align ="center "> Course</ th >
87+ < th align ="center "> HTML</ th >
88+ < th align ="center "> PDF</ th >
89+ < th align ="center "> Rmd</ th >
90+ </ tr >
91+ </ thead >
92+ < tbody >
93+ < tr >
94+ < td align ="center "> The Data Scientist’s Toolbox</ td >
95+ < td align ="center ">
96+ < a href ="1_DATASCITOOLBOX/Data_Scientists_Toolbox_Course_Notes.html ">
97+ < span class ="fa fa-link " title = "HTML "> </ span >
98+ </ a >
99+ </ td >
100+ < td align ="center ">
101+ < a href ="1_DATASCITOOLBOX/Data_Scientists_Toolbox_Course_Notes.pdf ">
102+ < span class ="fa fa-file-text " title = "PDF "> </ span >
103+ </ a >
104+ </ td >
105+ < td align ="center ">
106+ < a href ="1_DATASCITOOLBOX/Data%20Scientists%20Toolbox%20Course%20Notes.Rmd ">
107+ < span class ="fa fa-file-code-o " title = "Rmd "> </ span >
108+ </ a >
109+ </ td >
110+ </ tr >
111+ < tr >
112+ < td align ="center "> R Programming</ td >
113+ < td align ="center ">
114+ < a href ="2_RPROG/R_Programming_Course_Notes.html ">
115+ < span class ="fa fa-link " title = "HTML "> </ span >
116+ </ a >
117+ </ td >
118+ < td align ="center ">
119+ < a href ="2_RPROG/R_Programming_Course_Notes.pdf ">
120+ < span class ="fa fa-file-text " title = "PDF "> </ span >
121+ </ a >
122+ </ td >
123+ < td align ="center ">
124+ < a href ="2_RPROG/R%20Programming%20Course%20Notes.Rmd ">
125+ < span class ="fa fa-file-code-o " title = "Rmd "> </ span >
126+ </ a >
127+ </ td >
128+ </ tr >
129+ < tr >
130+ < td align ="center "> Getting and Cleaning Data</ td >
131+ < td align ="center ">
132+ < a href ="3_GETDATA/Getting_and_Cleaning_Data_Course_Notes.html ">
133+ < span class ="fa fa-link " title = "HTML "> </ span >
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136+ < td align ="center ">
137+ < a href ="3_GETDATA/Getting_and_Cleaning_Data_Course_Notes.pdf ">
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140+ </ td >
141+ < td align ="center ">
142+ < a href ="3_GETDATA/Getting%20and%20Cleaning%20Data%20Course%20Notes.Rmd ">
143+ < span class ="fa fa-file-code-o " title = "Rmd "> </ span >
144+ </ a >
145+ </ td >
146+ </ tr >
147+ < tr >
148+ < td align ="center "> Exploratory Data Analysis</ td >
149+ < td align ="center ">
150+ < a href ="4_EXDATA/Exploratory_Data_Analysis_Course_Notes.html ">
151+ < span class ="fa fa-link " title = "HTML "> </ span >
152+ </ a >
153+ </ td >
154+ < td align ="center ">
155+ < a href ="4_EXDATA/Exploratory_Data_Analysis_Course_Notes.pdf ">
156+ < span class ="fa fa-file-text " title = "PDF "> </ span >
157+ </ a >
158+ </ td >
159+ < td align ="center ">
160+ < a href ="4_EXDATA/Exploratory%20Data%20Analysis%20Course%20Notes.Rmd ">
161+ < span class ="fa fa-file-code-o " title = "Rmd "> </ span >
162+ </ a >
163+ </ td >
164+ </ tr >
165+ < tr >
166+ < td align ="center "> Reproducible Research</ td >
167+ < td align ="center ">
168+ < a href ="5_REPDATA/Reproducible_Research_Course_Notes.html ">
169+ < span class ="fa fa-link " title = "HTML "> </ span >
170+ </ a >
171+ </ td >
172+ < td align ="center ">
173+ < a href ="5_REPDATA/Reproducible_Research_Course_Notes.pdf ">
174+ < span class ="fa fa-file-text " title = "PDF "> </ span >
175+ </ a >
176+ </ td >
177+ < td align ="center ">
178+ < a href ="5_REPDATA/Reproducible%20Research%20Course%20Notes.Rmd ">
179+ < span class ="fa fa-file-code-o " title = "Rmd "> </ span >
180+ </ a >
181+ </ td >
182+ </ tr >
183+ < tr >
184+ < td align ="center "> Statistical Inference</ td >
185+ < td align ="center ">
186+ < a href ="6_STATINFERENCE/Statistical_Inference_Course_Notes.html ">
187+ < span class ="fa fa-link " title = "HTML "> </ span >
188+ </ a >
189+ </ td >
190+ < td align ="center ">
191+ < a href ="6_STATINFERENCE/Statistical_Inference_Course_Notes.pdf ">
192+ < span class ="fa fa-file-text " title = "PDF "> </ span >
193+ </ a >
194+ </ td >
195+ < td align ="center ">
196+ < a href ="6_STATINFERENCE/Statistical%20Inference%20Course%20Notes.Rmd ">
197+ < span class ="fa fa-file-code-o " title = "Rmd "> </ span >
198+ </ a >
199+ </ td >
200+ </ tr >
201+ < tr >
202+ < td align ="center "> Regression Models</ td >
203+ < td align ="center ">
204+ < a href = "7_REGMODS/Regression_Models_Course_Notes.html ">
205+ < span class ="fa fa-link " title = "HTML "> </ span >
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207+ </ td >
208+ < td align ="center ">
209+ < a href ="7_REGMODS/Regression_Models_Course_Notes.pdf ">
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211+ </ a >
212+ </ td >
213+ < td align ="center ">
214+ < a href = "7_REGMODS/Regression%20Models%20Course%20Notes.Rmd ">
215+ < span class ="fa fa-file-code-o " title = "Rmd "> </ span >
216+ </ a >
217+ </ td >
218+ </ tr >
219+ < tr >
220+ < td align ="center "> Practical Machine Learning</ td >
221+ < td align ="center ">
222+ < a href ="8_PREDMACHLEARN/Practical_Machine_Learning_Course_Notes.html ">
223+ < span class ="fa fa-link " title = "HTML "> </ span >
224+ </ a >
225+ </ td >
226+ < td align ="center ">
227+ < a href ="8_PREDMACHLEARN/Practical_Machine_Learning_Course_Notes.pdf ">
228+ < span class ="fa fa-file-text " title = "PDF "> </ span >
229+ </ a >
230+ </ td >
231+ < td align ="center ">
232+ < a href ="8_PREDMACHLEARN/Practical%20Machine%20Learning%20Course%20Notes.Rmd ">
233+ < span class ="fa fa-file-code-o " title = "Rmd "> </ span >
234+ </ a >
235+ </ td >
236+ </ tr >
237+ < tr >
238+ < td align ="center "> Developing Data Products</ td >
239+ < td align ="center ">
240+ < a href ="9_DEVDATAPROD/Developing_Data_Products_Course_Notes_HTML.html ">
241+ < span class ="fa fa-link " title = "HTML "> </ span >
242+ </ a >
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244+ < td align ="center ">
245+ < a href ="9_DEVDATAPROD/Developing_Data_Products_Course_Notes.pdf ">
246+ < span class ="fa fa-file-text " title = "PDF "> </ span >
247+ </ a >
248+ </ td >
249+ < td align ="center ">
250+ < a href ="9_DEVDATAPROD/Developing%20Data%20Products%20Course%20Notes%20HTML.Rmd ">
251+ < span class ="fa fa-file-code-o " title = "Rmd "> </ span >
252+ </ a >
253+ </ td >
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257+ < a href ="https://github.com/sux13/DataScienceSpCourseNotes ">
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260+
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262+ < br > < br >
263+ < a href ="https://github.com/sux13/DataScienceSpCourseNotes/zipball/master " id ="download-zip " class ="button ">
264+ < span > Download .zip</ span >
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267+ < span > Download .tar.gz</ span >
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276+ < a href ="https://www.linkedin.com/in/suxing/en " class ="vert-center " style ="float: left; ">
277+ < img class ="portrait " alt ="Xing Su " src ="https://media.licdn.com/mpr/mpr/shrink_100_100/p/4/000/172/23d/12d2ade.jpg " width ="100 " height ="100 "> </ a >
278+ < div id = "aboutme " class ="vert-center ">
279+ Xing graduated from Duke University in 2013, worked in consulting in NYC for 16 months, and moved to SF to pursue opportunities in product and data science. You can find him on
< a href ="
https://www.linkedin.com/in/suxing/en "
> LinkedIn
</ a > ,
< a href ="
https://github.com/sux13 "
> Github
</ a > , or through
< a href ="
mailto:[email protected] "
> [email protected] </ a > .
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