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Statistics and Probability Workbook | Dataisgood

Statistics and Probability Workbook | Dataisgood

Regular price Rs. 999.00
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Embark on your journey to understanding the fundamentals of Data Science with our comprehensive workbook, "Mastering Data Science: A Comprehensive Workbook on Statistics and Probability". This carefully curated workbook, tailored for both beginners and intermediate learners, encompasses a robust curriculum, spanning from basic statistical concepts to advanced probability and statistical modeling.

Our workbook consists of four parts:

  1. 'Foundations of Statistics', where you will dive deep into the essence of Statistics, explore various data types and sampling, and unravel the visual aspect of data.
  2. 'Probability and Statistical Modeling', which will allow you to understand the nuances of probability beyond traditional scenarios, grapple with discrete and continuous distributions, and establish a firm grasp of statistical modeling.
  3. 'Statistical Inference', where you'll explore sampling distributions, learn about estimators, and gain an understanding of the cornerstone of statistical inference.
  4. 'Statistical Analysis Techniques', where the key concepts of hypothesis testing and regression analysis are simplified and presented for you to understand and apply in practical situations.

We understand the importance of hands-on learning; hence, our workbook integrates theory with practical exercises, enabling you to strengthen your foundational knowledge while developing essential analytical skills. Suitable for students, professionals, or anyone keen on demystifying the world of data science, our workbook is a step-by-step guide that will equip you with the necessary expertise in Statistics and Probability.

This workbook is more than just a learning resource; it's your companion on the path to mastering data science. Don't miss this opportunity to learn, apply, and excel in the world of data science. Add it to your cart today and step into the exciting realm of statistical analysis and probabilistic modeling!

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