A Course in a Book For Passing The Pmi Agile Certified Practitioner

Can you imagine valuing a book so much that you send the author a Thank You letter?

Hundreds of thousands of project managers understand why PMP Exam Prep by Rita Mulcahy, PMP, is a worldwide best-seller. Is it Rita's years of PMP exam preparation experience? The endless hours of ongoing research? The interviews with project managers who failed the exam, to identify gaps in their knowledge? Or is it the razor-sharp focus on making sure project managers don't waste a single minute of their time studying any more than they absolutely have to? Actually, it's all of the above.

PMP Exam Prep, Sixth Edition by Rita Mulcahy contains hundreds of updates and improvements from previous editions–including new exercises and sample questions never before in print. Offering hundreds of sample questions, critical time-saving tips plus games and activities available nowhere else, this book will help you pass the PMP exam on your FIRST try.

PMI-ACP Complete Training Program, including case study, Quizzes & Simulation Exam and 21 PMI-ACP Contact Hours.

A premium set of 'must have' tools to help you confidently pass the PMI-Agile Certified Practitioner Exam.

The First Course in a Series for Attaining the Google Certified Data Engineer

The First Course in a Series for Attaining the Google Certified Data Engineer

Unlock the Power of Numbers for Personal Insight and Growth

Unlock the Power of Numbers for Personal Insight and Growth

Sinai's book leads the student through the standard material for ProbabilityTheory, with stops along the way for interesting topics such as statistical mechanics, not usually included in a book for beginners. The first part of the book covers discrete random variables, using the same approach, basedon Kolmogorov's axioms for probability, used later for the general case. The text is divided into sixteen lectures, each covering a major topic. The introductory notions and classical results are included, of course: random variables, the central limit theorem, the law of large numbers, conditional probability, random walks, etc. Sinai's style is accessible and clear, with interesting examples to accompany new ideas. Besides statistical mechanics, other interesting, less common topics found in the book are: percolation, the concept of stability in the central limit theorem and the study of probability of large deviations. Little more than a standard undergraduate course in analysis is assumed of the reader. Notions from measure theory and Lebesgue integration are introduced in the second half of the text. The book is suitable for second or third year students in mathematics, physics or other natural sciences. It could also be usedby more advanced readers who want to learn the mathematics of probability theory and some of its applications in statistical physics.