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Python for Data Science with Pandas, NumPy and Matplotlib |
OverviewThis two-day course provides an overview of how Python can be used in Data Science to manipulate, process, clean, and crunch data. It is an introduction to scientific computing in Python focusing data-intensive applications. Specifically, the class will review the essential Python libraries: NumPy, pandas, matplotlib, IPython, and SciPy. Audience Students wanting use Python in data analytics applications. Prerequisites Students should have taken an introductory Python course or have six months of Python programming experience. Course Outline CHAPTER I BUILDING BLOCKS WORKING WITH PYTHON NUMPY NDARRAYS SLICING AND INDEXING SCALAR OPERATIONS SHAPE SHIFTING DESCRIPTIVE STATISTICS ARRAY OPERATIONS MULTIPLE DIMENSIONS ARRAY CREATION OPTIONS DATA TYPES GETTING NUMPY-SPECIFIC HELP OVERVIEW OF DATA VISUALIZATION / PRESENTATION TOOLS CHAPTER II OVERVIEW OF PANDAS WORKING WITH PANDAS IN AN IDE ENHANCEMENTS FROM NDARRAY OBJECTS SERIES OBJECTS PANDAS IN 2-D PANDAS IN 3-D CHAPTER III DATA ACQUISITION DEALING WITH MISSING DATA AND OUTLIERS SLICING, DICING AND RE-INDEXING DATA DESCRIPTION / ANALYSIS TOOLS CHAPTER IV DATA VISUALIZATION CHAPTER V DATETIME-LIKE OBJECTS BASIC TIME SERIES OPERATIONS INTROSPECTING TIME SERIES TOOLS FOR HOLIDAYS, BUSINESS DAYS, ETC. COMPARING AND COMBINING DATA FROM DIFFERENT SERIES TIME SHIFTING AND TIME "WINDOW" OPERATIONS CHAPTER VI PANDAS DATABASE OPS COMPARISON OF SQL OPERATIONS AND PANDAS METHODS CREATING PIVOT TABLES AND CROSS-TABULATIONS AGGREGATING DATA ACROSS DIFFERENT TABLES CREATING COMPLEX QUERIES WITH INTERMEDIATE DATA FRAME OBJECTS CHAPTER VII PANDAS + MACHINE LEARNING TOOLS WHAT IS LDA? GETTING TO KNOW THE DATA EXPLORING DATA INTEGRITY APPLYING THE LDA MODEL DO YOU WANT A DOGGIE BAG? QUICK RECAP OF THE ANALYSIS APPENDIX A TEXT-ONLY DEBUGGING THE PDB DEBUG LIBRARY OTHER TEXT-BASED TOOLS INTEGRATING LOGGING WITH DEBUGGING APPENDIX B INTRODUCTION TO BAYESIAN ANALYSIS A SIMPLE REAL-LIFE EXAMPLE THE BAYESIAN APPROACH REALITY CHECKING |
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Very interesting course. I loved the module-topic approach. I learned a a lot about Microsoft 365 and all of it's capabilities. I'm looking forward to taking me new knowledge back to my company. Thank you!
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