Data Science has become one of the most sought-after fields in today’s data-driven world, and Python stands at its core. This course empowers learners to master the art of data science using Python—one of the most versatile programming languages for analyzing, visualizing, and interpreting data.
Mastering Python for Data Science
您将学到什么
Manage data and perform linear algebra in Python
Derive inferences using inferential statistics
Create data visualizations and mine for patterns
您将获得的技能
- Data Science
- Statistical Inference
- Python Programming
- Regression Analysis
- Data Preprocessing
- Apache Hadoop
- Data Mapping
- Big Data
- Data Manipulation
- Statistics
- HTML and CSS
- Machine Learning
- Object Oriented Programming (OOP)
- Data Visualization
- Data Analysis
- JavaScript Frameworks
- Probability & Statistics
- Pandas (Python Package)
- Random Forest Algorithm
- Analytics
- 技能部分已折叠。显示 12 项技能，共 20 项。
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February 2026
作业
12 项作业
授课语言：英语（English）
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该课程共有12个模块
In this section, we explore parsing raw data from multiple sources, cleaning datasets, and manipulating data using NumPy and pandas for effective analysis.
涵盖的内容
2个视频5篇阅读材料1个作业
In this section, we explore probability distributions, hypothesis testing, confidence intervals, and errors to make population inferences from sample data using statistical methods.
涵盖的内容
1个视频6篇阅读材料1个作业
In this section, we explore structured data mining techniques, domain-driven analysis, and pattern discovery to uncover actionable insights for informed decision-making in real-world scenarios.
涵盖的内容
1个视频3篇阅读材料1个作业
In this section, we explore techniques for controlling plot properties, combining multiple visualizations, and creating advanced data displays using Python. These methods enhance data communication and insight extraction.
涵盖的内容
1个视频4篇阅读材料1个作业
In this section, we explore supervised, unsupervised, and reinforcement learning, focusing on their applications, key concepts like feature vectors, and practical problem-solving in data-driven systems.
涵盖的内容
1个视频3篇阅读材料1个作业
In this section, we explore simple and multiple linear regression models, focusing on variable relationships, correlation coefficients, and model training for predictive analysis.
涵盖的内容
1个视频3篇阅读材料1个作业
In this section, we build and evaluate logistic regression models using statsmodels and SciKit, focusing on predicting event likelihood with the Titanic dataset and assessing performance via ROC curves.
涵盖的内容
1个视频3篇阅读材料1个作业
In this section, we explore user-based and item-based collaborative filtering techniques, focusing on calculating similarity using Euclidean distance and generating recommendations through weighted averages.
涵盖的内容
1个视频3篇阅读材料1个作业
In this section, we explore random forest models for classification, analyze census data to predict income levels, and evaluate model performance using accuracy metrics.
涵盖的内容
1个视频2篇阅读材料1个作业
In this section, we explore k-means clustering for customer segmentation, focusing on determining optimal clusters and interpreting results for business insights.
涵盖的内容
1个视频3篇阅读材料1个作业
In this section, we preprocess text data using NLTK, generate wordclouds, and apply tokenization, POS tagging, and named entity recognition to extract insights from unstructured data.
涵盖的内容
1个视频3篇阅读材料1个作业
In this section, we explore Python's role in big data processing, focusing on Hadoop, MapReduce, and distributed computing techniques for efficient data analysis.
涵盖的内容
1个视频5篇阅读材料1个作业
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常见问题
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
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