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.
Offered By
IBM Skills NetworkAbout this Course
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Flexible deadlines
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Shareable Certificate
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Intermediate Level
This course requires working knowledge of Python programming, Data Analysis, Data Visualization, SQL, Model Development and Evaluation.
Approx. 17 hours to complete
English
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Try Coursera for BusinessWhat you will learn
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
Skills you will gain
- Methodology
- Github
- Jupyter Notebook
- Data Science Methodology
- K-Means Clustering
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level
This course requires working knowledge of Python programming, Data Analysis, Data Visualization, SQL, Model Development and Evaluation.
Approx. 17 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for Business
Offered by
Syllabus - What you will learn from this course
7 hours to complete
Introduction
7 hours to complete
3 videos (Total 10 min), 1 reading, 8 quizzes
3 hours to complete
Exploratory Data Analysis (EDA)
3 hours to complete
1 video (Total 2 min)
3 hours to complete
Interactive Visual Analytics and Dashboard
3 hours to complete
1 video (Total 2 min)
2 hours to complete
Predictive Analysis (Classification)
2 hours to complete
1 video (Total 1 min)
Reviews
- 5 stars80.24%
- 4 stars14.18%
- 3 stars3.11%
- 2 stars1.09%
- 1 star1.35%
TOP REVIEWS FROM APPLIED DATA SCIENCE CAPSTONE
by SJMar 23, 2019
Last week took me too much time, but that was my own laziness. The course is well designed and taught me a lot about data cleaning, and strict deadlines are also a good learning. Thank you.
by RWMar 22, 2022
An excellent course! Requires you to bring together a large part of the material learned in previous courses.
Furthermore, adds new skills like creating a presentation using PowerPoint.
by AEFeb 8, 2020
What a wonderful way to complete the '9 courses' IBM Data Science Professional Certificate training! Applied Data Science Capstone is the best way to delve into professional experience.
by RRJun 6, 2020
Overall it was a good course. It could have been better is the support staff for the course were available answering questions. Some of the materials are outdated and needs to be updated.
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