コース
Pythonで学ぶ統計シミュレーション
中級スキルレベル
更新日 2023/12
PythonProbability & Statistics4時間16 ビデオ58 演習4,800 XP19,850修了証明書
無料アカウントを作成
Googleで続行その他のオプションを表示または
何千もの企業の従業員が支持
チームのトレーニングを担当していますか？
Businessをお試しくださいコース説明
前提条件
Sampling in Python1
Basics of Randomness & Simulation
This chapter gives you the tools required to run a simulation. We'll start with a review of random variables and probability distributions. We will then learn how to run a simulation by first looking at a simulation workflow and then recreating it in the context of a game of dice. Finally, we will learn how to use simulations for making decisions.
2
Probability & Data Generation Process
This chapter provides a basic introduction to probability concepts and a hands-on understanding of the data generating process. We'll look at a number of examples of modeling the data generating process and will conclude with modeling an eCommerce advertising simulation.
3
Resampling Methods
In this chapter, we will get a brief introduction to resampling methods and their applications. We will get a taste of bootstrap resampling, jackknife resampling, and permutation testing. After completing this chapter, students will be able to start applying simple resampling methods for data analysis.
4
Advanced Applications of Simulation
In this chapter, students will be introduced to some basic and advanced applications of simulation to solve real-world problems. We'll work through a business planning problem, learn about Monte Carlo Integration, Power Analysis with simulation and conclude with a financial portfolio simulation. After completing this chapter, students will be ready to apply simulation to solve everyday problems.
Pythonで学ぶ統計シミュレーション
コース完了 19百万人を超える学習者と共にPythonで学ぶ統計シミュレーションを始めましょう！
無料アカウントを作成
Googleで続行その他のオプションを表示または
DataCamp for Mobileでデータスキルを磨きましょう
モバイル コースと毎日の 5 分間のコーディング チャレンジで、外出先でも進歩できます。