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Data Analytics Course in Mumbai

ExcelR's Data Analyst Course in Mumbai provides a robust curriculum designed to equip you with the essential skills for a successful career in 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: 9108238354, <br>Email: enquiry@excelr.com<br>

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Data Analytics Course in Mumbai

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  1. StatisticalAnalysisFundamentalsforDataAnalysts • FoundationalConcepts: • - Start by covering foundational statistical concepts that form the basis of data analysis. Explain key terms such as population, sample, variable, parameter, and statistic.Data Analyst Course.Introducebasicprobabilityconceptsincludingprobabilitydistributions,random variables,and expected values. • DescriptiveStatistics: • Teach descriptive statistics techniques to summarize and describe the characteristics of data sets.Covermeasuresofcentraltendencysuchasmean,median,andmode,aswellas measures of dispersion such as variance, standard deviation, and range. Show how to visualize datausing histograms, box plots, and summarytables. • InferentialStatistics: • Introduce inferential statistics techniques used to draw conclusions and make predictions about populations based on sample data. Cover hypothesis testing, confidence intervals, and p-values. Explain the process of hypothesis testing including formulating null and alternative hypotheses,selecting appropriate teststatistics, and interpreting results. • CorrelationandRegressionAnalysis: • Explore correlation and regression analysis techniques for examining relationships between variables. Teach students how to calculate correlation coefficients (e.g., Pearson correlation) to measure the strength and direction of linear relationships. Cover simple linear regression for predicting a dependent variable based on one independent variable, as well as multiple linear regressionfor modelingrelationships betweenmultiple predictorsand aresponse variable. • ExperimentalDesignandSamplingTechniques: • Discuss experimental design principles and sampling techniques used in data analysis. Cover concepts such as random sampling, stratified sampling, and cluster sampling. Explain the importance of controlling for confounding variables and selecting appropriate sample sizes to ensurethe validity and reliability of statisticalanalyses.

  2. By mastering these statistical analysis fundamentals, data analysts can effectively analyze data, draw meaningful insights, and make informed decisions. Data Analytics Course in Mumbai. These foundational concepts serve as building blocks for more advanced statistical techniques and provide a solid framework for conducting rigorous data analysis in various domains and industries. Businessname:ExcelR-Data Science, Data Analytics, Business Analytics Course Training Mumbai Address:304,3rdFloor,PratibhaBuilding.ThreePetrolpump,LalBahadurShastriRd, oppositeManas Tower, Pakhdi, Thane West, Thane, Maharashtra 400602 Phone:9108238354, Email:enquiry@excelr.com

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