Coursera
Discover the power of Statistical Thinking for Industrial Problem Solving, an applied statistics course designed for scientists and engineers. Developed by JMP, a division of SAS, this course equips you with essential skills to use data and basic statistical methods to tackle real-world challenges effectively.
Coursera
Expand your understanding of statistics and learn how to apply complex analytical methods using Excel in this advanced course. Following on from 'Part 1', you'll delve deeper into probability, distributions, and more practical applications of statistical analysis.
Coursera
Dive into the world of biostatistics with 'Mathematical Biostatistics Boot Camp 2'. This course is designed to equip you with essential skills in data analysis and statistical inference, specifically focusing on one and two independent samples. Whether you're a healthcare professional, researcher, or student, this program will enhance your understanding of key concepts that are crucial for making informed decisions based on data.
Coursera
Dive into the world of advanced statistical modeling with 'Variable Selection, Model Validation, Nonlinear Regression' on Coursera. This course is designed for those with a technical background in mathematics, statistics, computer science, or engineering looking to transition into data-driven careers across various industries including finance, retail, tech, healthcare, and more. Learn essential skills in variable selection, model validation, and nonlinear regression to unlock endless opportunities.
Coursera
Embark on a journey to master the art and science of data analysis with our Data Analysis Tools course on Coursera. This course is designed for learners who want to delve into statistical testing, hypothesis formulation, and application of various analytical techniques such as ANOVA, Chi-Square tests, and Pearson correlation analysis using either SAS or Python. Whether you're a beginner looking to build foundational skills or an intermediate analyst aiming to refine your abilities, this course offers the tools and knowledge needed to transform raw data into actionable insights.
Coursera
Dive into the world of Business Statistics with our advanced course on Confidence Intervals and Hypothesis Testing. Gain essential skills that will empower you to make informed decisions, quantify risks, and understand the nuances of statistical analysis as applied to real-world business scenarios. This course is perfect for those looking to elevate their analytical capabilities in a business context.
Coursera
Discover the power of Python in understanding data through inferential statistics. This course will guide you from basic principles to advanced techniques for analyzing both categorical and quantitative data, comparing populations, constructing confidence intervals, and testing theories using sample data. Perfect for beginners and professionals alike who want to harness the potential of statistical analysis with Python.
Coursera
Dive into the world of Biostatistics and enhance your ability to analyze public health research data effectively. This course focuses on evaluating sample variability and applying statistical hypothesis testing methods, equipping you with the tools needed to make informed decisions in public health.
Coursera
Dive deep into the world of statistics with 'What are the Chances? Probability and Uncertainty in Statistics'. This course unravels the complexities of probability theory and its application to statistical analysis, enabling you to confidently measure and communicate uncertainty. From understanding basic probability rules to conducting hypothesis tests and interpreting regression results, this course equips you with essential skills for analyzing data effectively.