Data Analysis
| ľhe knowledge and abilities you gain in this couíse will qualify you foí intíoductoíy-level data analyst positions. In this couíse, you’ll
leaín about the píogíamming language known as R. You’ll leaín the ins and outs of R Studio, the R píogíamming language’s integíated development enviíonment. R packages and otheí R-specific softwaíe applications and tools will also be coveíed in this couíse. |
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| Intíoduction to Data | ▪ Couíse Oveíview |
| Analysis | ▪ Intíoduction to Data Analysis Basics |
| ▪ Data collection | |
| ▪ Population vs sampling | |
| ▪ Random sampling | |
| ▪ Data types | |
| Intíoduction to R | ▪ Intíoduction to R
▪ Installing R ▪ Data Objects in R ▪ Data Impoít and Expoít ▪ Basic Data Manipulation ▪ Computing with Data |
| Summaíizing and Descíibing | ● Simple summaíy statistics (Fíequency ľables & Gíaphs) |
| Data | ● Descíibing tíends in data |
| ● Mean (Vaíiance & Standaíd deviation) | |
| ● Median, Mood | |
| ● Quaítiles | |
| ● Data distíibutions | |
| Gíaphical Display using R | ▪ Data visualization plots
▪ Boxplot, Histogíam, Scatteíplot, Heatmap, Baíplot, Density plots ▪ Multi-plots ▪ Assignment. Píactice exeícise of Data visualization using R on case study data |
| Píobability | ● Sample Space and Events
● Píopeíties of Píobability ● Conditional Píobability ● Bayes ľheoíem |
| Simple Infeíence | ● Student t-test |
| Conditional Infeíence | ● Paiíed t-test |
| ● χ2- test | |
| ● Fisheí’s Exact ľest | |
| Assignment. Píactice on Moítality and Wateí Haídness data | |
| Hands-on Data Analysis | Fosteí Feeding of Rats of Diffeíent Genotypes + Male Egyptian Skulls |
| Hands-on Data Analysis | Student peífoímance data +Lineaí model fitting on Micíoaííay data |
| Intíoduction to python | ● Intíoduction to python
● Data Objects in python ● Data Impoít and Expoít ● Basic Data Manipulation ● Computing with Data ● Hands-on with Jupiteí notebook |
| Intíoduction to Machine Leaíning | ● Oveíview, Supeívised Leaíning & applications
● Python foí Machine Leaíning |
| Python foí Machine Leaíning |
• numpy |
| • matplotlib | |
| • pandas | |
| • scipy | |
| • scikit | |
| Simple Lineaí Regíession | ● Using python |
| Multiple Lineaí Regíession | ● Intíoduction to Supeívised Leaíning |
| ● Decision ľíees | |
| ● Random Foíes |
