10 Video Editing Skills That Look Good on a Resume
March 6, 2024
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This course is part of Practical Data Science with MATLAB Specialization
Instructors: Michael Reardon
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(25 reviews)
Apply a full data science workflow, including importing & cleaning data, creating features, training machine learning models, & evaluating results
Effectively communicate results by identifying your target audience & creating meaningful visualizations
Create a final report that includes text, code, & visualizations to share with colleagues
Add to your LinkedIn profile
5 assignments
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
Like most subjects, practice makes perfect in Data Science. In the capstone project, you will apply the skills learned across courses in the Practical Data Science with MATLAB specialization to explore, process, analyze, and model data. You will choose your own pathway to answer key questions with the provided data.
To complete the project, you must have mastery of the skills covered in other courses in the specialization. The project will test your ability to import and explore your data, prepare the data for analysis, train a predictive model, evaluate and improve your model, and communicate your results.
In this module you'll be introduced to the goals of the capstone project. You will complete the initial task of preparing a data set and performing an exploratory analysis.
5 videos6 readings2 assignments1 discussion prompt
In this module you'll perform feature engineering. You'll create a response variable and investigate the relationships between features and the response variable.
1 video3 readings2 assignments1 discussion prompt
In this module you will perform machine learning. You'll train and customize various models. Using validation data and common evaluation metrics you'll choose the most appropriate model for the problem.
2 videos3 readings1 assignment1 peer review1 discussion prompt
In this module, you'll learn a framework for creating a data science story and the importance of crafting your narrative for the intended audience, along with tips for creating meaningful visualizations.
2 videos2 readings1 discussion prompt1 plugin
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
Instructor ratings
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
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Reviewed on Mar 13, 2021
Very good course, it was a big challgenge to me. I learned so much. I am very happy
Reviewed on Jan 26, 2021
A very good project on classification problems. Thank you so much!
Reviewed on Mar 28, 2021
The capstone project gives full autonomy to the learner to execute the project in whichever way he deems good, which is a great learning step in the data science workflow
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Financial aid available,