This is the final course in the IBM Data Science Professional Certificate as well as the Applied Data Science with Python Specialization. This capstone project course will give you the chance to practice the work that data scientists do in real life when working with datasets.

Об этом курсе
This course requires working knowledge of Python programming, Data Analysis, Data Visualization, SQL, Model Development and Evaluation.
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Попробуйте Coursera для бизнесаЧему вы научитесь
Demonstrate proficiency in data science and machine learning techniques using a real-world data set and prepare a report for stakeholders
Apply your skills to perform data collection, data wrangling, exploratory data analysis, data visualization model development, and model evaluation
Write Python code to create machine learning models including support vector machines, decision tree classifiers, and k-nearest neighbors
Evaluate the results of machine learning models for predictive analysis, compare their strengths and weaknesses and identify the optimal model
Приобретаемые навыки
- Methodology
- Github
- Jupyter Notebook
- Data Science Methodology
- K-Means Clustering
This course requires working knowledge of Python programming, Data Analysis, Data Visualization, SQL, Model Development and Evaluation.
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Программа курса: что вы изучите
Introduction
Exploratory Data Analysis (EDA)
Interactive Visual Analytics and Dashboard
Predictive Analysis (Classification)
Рецензии
- 5 stars80,25 %
- 4 stars14,16 %
- 3 stars3,12 %
- 2 stars1,10 %
- 1 star1,35 %
Лучшие отзывы о курсе APPLIED DATA SCIENCE CAPSTONE
This course gives a good overall exposure, in terms of providing the freedom to choose your own set of tasks and explore things on your own, just like any real life projects. I enjoyed it!
It was a long marathon for me, it lasted about 6.5 months. It was a useful and well-prepared course. I would like to thank all the instructors one by one. Thanks to IBM and Coursera.
This course for me was very challenging, not only for the assessments but also because I introduced new tools to my study like APIs. I really appreciate the time and the knowledge you gave me.
Very challenging but truly rewarding. I learnt a lot through the mistakes I made throughout the project but there is a lot of support on the forum and the internet to help with any issue.
Часто задаваемые вопросы
Когда я получу доступ к лекциям и заданиям?
Что я получу, оформив подписку на сертификацию?
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