DATA SCIENCE FOR BEGINNERS, DATA ANALYSIS WITH PYTHON, SQL COMPUTER PROGRAMMING FOR BEGINNERS, STATISTICS FOR BEGINNERS
Cód:
491_9781801091954
De: R$ 0,00Por: R$ 224,30ou X de
Master the Skills of Data and Statistical Analysis, and Become a Top-Notch Python and SQL Expert!Do you want to know the secret behind the success of the huge business moguls, such as Facebook and Netflix? Are you aware that you can implement their data analysis strategies in your company or business to make it more successful and competitive?This bundle will provide you with everything you need to know to start conducting successful data analysis. It will guide you through every step of this application, from gathering the data, processing it, and extracting information and using it for smart decision making. Its easy to get lost in the amount of available sources if youre only getting started with this subject. Wouldnt it be nice if all the information you need can be found in one place?Well, they can! With this bundle, youll master the Python Programming Language, SQL language, and statistical and data analysis. But thats certainly not everything. Heres what else you get: A detailed introduction on data science, its applications, and fields of studyA guide on tools and techniques used by data scientistsAn easy to understand guide on data analysisInformation about the concepts behind Python programmingA guide on how to use Python libraries such as Pandas and NumPy for data analysisInstructions on how to create the right analytical algorithm for predicting the market trendsA list of the Python Data typesInstructions on how to use the Python language and codeA step-by-step guide on Object-oriented programming (OOP) and mind mappingInstructions on how to start using data science in your company or businessA guide on programming languages used in data scienceA guide on writing SQL codesA guide on how to use predictive analytics techniques to turn data into valuable informationInstructions on database normalization for maintaining data integrityA guide on using Python for files manipulation and handlingInformation
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