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Learn Descriptive Statistics, earn certificates with free online courses from Stanford, Johns Hopkins, UC Irvine, UC Berkeley and other top universities around the world. Read reviews to decide if a class is right for you.
Master data manipulation and analysis using Numpy and Pandas libraries through hands-on practice with the Titanic dataset, covering array operations, DataFrame handling, descriptive statistics, and data filtering.
Master data visualization techniques using Python libraries while analyzing the Titanic dataset - create insightful plots, explore statistical patterns, and transform raw data into meaningful visual stories.
Master statistical concepts through hands-on practice with R, covering descriptive statistics, probability distributions, data visualization, and hypothesis testing for real-world data analysis.
Master statistical concepts, data visualization, and predictive analytics while learning to use powerful tools for forecasting, regression analysis, probability modeling, and prescriptive analytics.
Develop critical skills in interpreting statistical results through descriptive statistics, data visualization, measurement, regression modeling, and probability, enhancing your ability to evaluate quantitative analyses.
Explore data analysis fundamentals, including theory development, causal inference, descriptive statistics, and data visualization. Gain essential tools for interpreting and evaluating data-driven insights across various fields.
Comprehensive overview of data types, database design, and SQL, covering business intelligence, statistics, ERD creation, and practical SQL scripting for effective data management and analysis.
Equip yourself with essential business data analysis tools, from spreadsheet functions to data modeling, probability concepts, and linear regression, culminating in a practical capstone project.
Learn essential business statistics, including data descriptors, probability, and statistical distributions. Apply concepts using Excel for informed decision-making in various business scenarios.
Explore tools for informed decision-making in an uncertain world. Learn probability, statistics, estimation, hypothesis testing, and multivariate applications to enhance lifelong decision-making skills.
Comprehensive quantitative finance program covering time value of money, econometrics, and financial modeling. Develop practical skills for data analysis and decision-making in finance.
Learn to classify, visualize, and analyze data using R. Master descriptive statistics, probability distributions, sampling techniques, and hypothesis testing for informed decision-making and statistical inference.
Learn to analyze and visualize data effectively, using tools like RStudio and ROIStat to make informed decisions and solve problems in engineering and technical fields.
Develop data analysis skills to extract marketing insights from consumer data using Excel. Learn visualization, descriptive statistics, and regression analysis for informed decision-making.
Examine data drawn from allied fields of business such as Finance and HR, and learn how to simulate data to follow a specified distribution.
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