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.

About this Course
This course requires working knowledge of Python programming, Data Analysis, Data Visualization, SQL, Model Development and Evaluation.
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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
This course requires working knowledge of Python programming, Data Analysis, Data Visualization, SQL, Model Development and Evaluation.
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Try Coursera for BusinessOffered by
Start working towards your Bachelor's degree
Syllabus - What you will learn from this course
Introduction
Exploratory Data Analysis (EDA)
Interactive Visual Analytics and Dashboard
Predictive Analysis (Classification)
Reviews
- 5 stars80.27%
- 4 stars14.15%
- 3 stars3.12%
- 2 stars1.10%
- 1 star1.35%
TOP REVIEWS FROM APPLIED DATA SCIENCE CAPSTONE
This is a great course and lots of fun. But it is a big commitment and you need to take it seriously. To get the most out of this course you will need to spend at least 30 hours doing it.
Its was great experience in completing the project using all skills that we learned in the course, thanks to coursera and IBM for giving me an opportunity to update my selft and also to test my skills
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!
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.
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