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Data Wrangling with Python and Pandas

ExcelR's Data Analyst Course offers a comprehensive learning path to master the skills required for effective data analysis. <br>Business name: ExcelR- Data Science, Data Analytics, Business Analytics Course Training Mumbai<br>Address: 304, 3rd Floor, Pratibha Building. Three Petrol pump, Lal Bahadur Shastri Rd, opposite Manas Tower, Pakhdi, Thane West, Thane, Maharashtra 400602<br>Phone: 09108238354, <br>Email: enquiry@excelr.com<br>

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Data Wrangling with Python and Pandas

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  1. DataWranglingwithPythonandPandas • IntroductiontoDataWrangling: • Begin by introducing the concept of data wrangling and its role in preparing raw data for analysis.DataAnalystCourse.Explainhowdatawranglinginvolvestaskssuchasdata cleaning, transformation, normalization, and reshaping to make data suitable for downstream analysis.Highlightthechallengesofworkingwithmessy,incomplete,orinconsistentdataand theimportance of data wrangling skills indata science and analytics. • IntroductiontoPandas: • Introduce the Pandas library in Python, a powerful tool for data manipulation and analysis. Teach students how to import, manipulate, and analyze tabular data using Pandas DataFrames. CoverbasicPandas operations such as indexing, selecting, filtering, sorting, grouping, and aggregatingdata. • DataCleaningandPreprocessing: • Cover techniques for data cleaning and preprocessing using Pandas. Teach students how to handle missing values, remove duplicates, correct errors, and standardize formats in the data. Discuss methods for data imputation, outlier detection, and dealing with inconsistent or invalid datavalues. • DataTransformationandFeatureEngineering: • Discuss techniques for data transformation and feature engineering using Pandas. Teach students how to create new features, transform variables, and encode categorical variables for machinelearningmodels.Covermethodsforscaling,normalization,binning,andcreating dummyvariables to prepare data for modeling. • HandlingTime SeriesandTextData: • Introduce students to advanced data wrangling techniques for handling time series and text datausingPandas.Teachthemhowtomanipulatetimeseriesdata,performdate/time operations,andextractfeaturesfromtemporaldata.Covertextdatapreprocessingtaskssuch as tokenization, stemming, lemmatization, and vectorization using Pandas and other libraries suchas NLTK or spaCy.

  2. Bymasteringthesepointers,studentscandevelopproficiencyinSQLanddatabase managementforqueryingandmanipulatingrelationaldatabases,aswellasdatawrangling skills using Python and Pandas for cleaning, transforming, and preparing data for analysis and modeling. Data Analytics Course in Mumbai. These skills are essential for data professionals workingwith diverse datasets in variousdomains and industries. Business name: ExcelR- Data Science, Data Analytics, Business Analytics Course Training Mumbai Address: 304, 3rd Floor, Pratibha Building. Three Petrol pump, Lal Bahadur Shastri Rd, oppositeManas Tower, Pakhdi,Thane West, Thane,Maharashtra 400602 Phone:09108238354, Email:enquiry@excelr.com

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