02889nam 22006373 450 991079572430332120231110232228.01-5231-4740-71-68392-818-01-68392-819-9(MiAaPQ)EBC6975918(Au-PeEL)EBL6975918(CKB)21957564700041(NjHacI)9921957564700041(DE-B1597)653299(DE-B1597)9781683928195(EXLCZ)992195756470004120220507d2022 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierDealing with Data Pocket PrimerBloomfield :Mercury Learning & Information,2022.©2022.1 online resource (246 pages)Computing Print version: Campesato, Oswald Dealing with Data Pocket Primer Bloomfield : Mercury Learning & Information,c2022 9781683928201 Frontmatter -- Contents -- Preface -- Chapter 1: Introduction to Probability and Statistics -- Chapter 2: Working with Data -- Chapter 3: Introduction to Pandas -- Chapter 4: Introduction to RDBMS and SQL -- Chapter 5: Working with SQL and MySQL -- Chapter 6: NLP and Data Cleaning -- Chapter 7: Data Visualization -- IndexAs part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of managing data using a variety of computer languages and applications. It is intended to be a fast-paced introduction to some basic features of data management and covers statistical concepts, data-related techniques, features of Pandas, RDBMS, SQL, NLP topics, Matplotlib, and data visualization. Companion files with source code and color figures are available. FEATURES: Covers Pandas, RDBMS, NLP, data cleaning, SQL, and data visualization. Introduces probability and statistical concepts. Features numerous code samples throughout. Includes companion files with source code and figures.Computing Quantitative researchReliabilityQuantitative researchData processingNLP.Pandas.RDBMS.SQL.computer science.data analytics.data cleaning.data visualization.programming.python.statistics.Quantitative researchReliability.Quantitative researchData processing.001.42Campesato Oswald1466694MiAaPQMiAaPQMiAaPQBOOK9910795724303321Dealing with Data Pocket Primer3785277UNINA