Introduction to Data Science with Python

Introduction to Data Science with Python (PYEX)

This trai­ning cour­se tea­ches the basics of using the Python pro­gramming lan­guage for data ana­ly­sis. Par­ti­ci­pan­ts recei­ve an over­view and sys­te­ma­tic intro­duc­tion to the most important soft­ware packa­ges for Python in the data sci­ence envi­ron­ment. The basics of data struc­tu­re and data manage­ment with the Pan­das packa­ge are taught. The crea­ti­on of simp­le and advan­ced gra­phics with the plot­ting packa­ges Mat­plot­lib and Sea­born will be cover­ed. The basics of simp­le sta­tis­ti­cal methods and data mining using Sci­kit-Learn are pre­sen­ted.

Con­tents

• • Over­view: Python basics
  • Over­view of soft­ware packa­ges in the data sci­ence envi­ron­ment
  • Data import and export
  • Data manage­ment and data cle­an­sing
  • Crea­ti­on of simp­le plots (his­to­gram, line plot, scat­ter plot, box plot)
  • Adjus­t­ment of plots and mul­ti­ple plots
  • Simp­le ana­ly­ti­cal methods (regres­si­ons, clus­te­ring, clas­si­fi­ca­ti­on)

Type
Python is a free pro­gramming lan­guage that is used for auto­ma­ti­on and appli­ca­ti­on deve­lo­p­ment. Through the use of free and exten­si­ve packa­ges, Python has deve­lo­ped into a popu­lar data sci­ence tool. Our Python cour­ses are desi­gned to be inter­ac­ti­ve to give par­ti­ci­pan­ts the oppor­tu­ni­ty to try out the methods taught direct­ly.

Each sec­tion is also con­cluded with a series of exer­ci­s­es to rein­force what has been lear­ned. In our trai­ning cen­ter in Ham­burg, a trai­ning PC is available for each par­ti­ci­pant to sol­ve the exer­ci­s­es. The cour­se pro­gress is ful­ly docu­men­ted so that no notes are requi­red and par­ti­ci­pan­ts can con­cen­tra­te on the acti­ve use of Python.

Key­words
box-plot, clus­te­ring, data mining, data sci­ence, data ana­ly­sis, data cle­an­sing, data import, data manage­ment, data struc­tu­re, export, gra­phics, his­to­gram, clas­si­fi­ca­ti­on, line plot, mat­plot­lib, mul­ti­ple plots, pan­das, plots, plot­ting packa­ges, pro­gramming lan­guage, python, regres­si­ons, scat­ter­plot, sci­kit-learn, sea­born, soft­ware packa­ges, sta­tis­ti­cal methods, Jupy­ter Notebook,NumPy,DataFrame, Sci­Py, data wrang­ling

Pre­re­qui­si­tes
Expe­ri­ence with the basics of pro­gramming (data types, varia­bles, func­tions) is requi­red for this trai­ning.