中This Predictive Modeling with Python course provides a practical introduction to statistical analysis and machine learning with Python. You will learn essential machine learning concepts, methods, and algorithms with a strong emphasis on applying them to solve real-world business and data problems.
Predictive Modeling with Python
您将学到什么
Manage and preprocess data for statistical analysis and modeling.
Conduct hypothesis testing using advanced statistical techniques.
Build exploratory data analysis (EDA) models to uncover insights.
Build and evaluate models to solve real-world data challenges.
您将获得的技能
要了解的详细信息
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作业
23 项作业
授课语言：英语（English）
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积累特定领域的专业知识
本课程是 Applied Data Analytics 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书
该课程共有6个模块
In the first module of this course, learners will explore various data types and utilize different measures of central tendency and measures of dispersion to address data inconsistencies.
涵盖的内容
12个视频3篇阅读材料4个作业2个讨论话题1个插件
In this module, learners will learn to manage data using probability distribution functions. Learners will start by applying the Bernoulli distribution to model categorical data, explore the Poisson distribution for forecasting, and utilize the Exponential and Normal distributions for regression modeling.
涵盖的内容
17个视频3篇阅读材料5个作业
In the third module of this course, Learners will learn to apply the Central Limit Theorem in scenarios where data may be improperly distributed. Identify and analyze sample data, using both parametric and non-parametric methods to handle various test cases for hypothesis testing and decision-making.
涵盖的内容
30个视频3篇阅读材料5个作业1个讨论话题
In the fourth module, learners will explore implementing Exploratory Data Analysis (EDA) on large, complex datasets by conducting both univariate and multivariate analysis. They will also learn how to clean and process data, as well as perform feature engineering to prepare the data for analysis.
涵盖的内容
29个视频3篇阅读材料4个作业1个讨论话题
In this module, learners will learn how to use machine learning models to extract insights from data. They will apply regression and classification algorithms and then optimize the results produced by these models.
涵盖的内容
42个视频2篇阅读材料4个作业1个讨论话题
This module is designed to assess an individual on the various concepts and teachings covered in this course. Evaluate your knowledge with a comprehensive graded quiz on Probability, Statistical Modeling, and Machine Learning.
涵盖的内容
1个视频1篇阅读材料1个作业1个讨论话题1个插件
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将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。
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常见问题
This course is designed with emphasizes on predictive modeling and statistical analysis, providing learners with the skills and methods to examine data, discern trends, and make well-informed forecasts about future results.
Predictive Modeling with Python is tailored for professionals and enthusiasts seeking to deepen their expertise in predictive modeling and statistical analysis, including data analysts, aspiring data scientists, business leaders, and individuals dedicated to data-driven decision-making.
The course spans approximately 6 weeks, allowing flexibility based on the learner's pace, with an estimated weekly commitment of 2-3 hours for lectures, practical projects, and assessments.
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提供助学金，