Dive into the world of statistics for data analysis. Explore descriptive and inferential statistics, probability, sampling, confidence intervals, and hypothesis testing. Learn to use Python for statistical analysis and communicate findings effectively. Google experts provide hands-on activities, real-world examples, and guidance for career preparation. Develop skills to apply statistics in data science, calculate probabilities, model data distributions, understand sampling methods, and conduct hypothesis tests. Enhance your data analytics proficiency with practical insights in this course.Read more.
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The techniques and tools covered in The Power of Statistics are most similar to the requirements found in Data Scientist job advertisements.
