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Data Science Research Methods: 3rd Data Science Project
Self-Paced
Learning Style
Microsoft
Provider
Beginner
Difficulty
14 Days
Course Duration
Course Info
Certificate
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9:00 AM - 5:00 PM CST
Duration - 0 Days -
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Course Information
You've come so far in your data science journey! Over the past few weeks you've covered some essential math for machine learning, data science research methods, and kept improving your R and Python programming skills.
In the third project you're going to be applying some of those data science research method skills. You can choose to do this project in either R or Python.
Outline
More Information
| Brand | Microsoft |
|---|---|
| Lab Access | No |
| Learning Style | Self-Paced Learning |
| Learning Type | Course |
| Difficulty | Beginner |
| Course Duration | 14 Days |
| Language | English |
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Course Expert:
Tom Robertson
(Data Science Enthusiast)
Tom is an innovator first, and then a Data Scientist & Software Architect. He has integrated expertise in business, product, technology and management. Tom has been involved in creating category defining new products in AI and big data for different industries, which generated more than hundred million revenue cumulatively, and served more than 10 million users.
As a Data Scientist and Software Architect Tom has extensive experience in data science, engineering, architecture and software development. To date Tom has accumulated over a decade of experience in R, Python & Linux Shell programming.
Tom has expertise on Python, SQL, and Spark. He has worked on several libraries including but not limited to Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, SciPy, NLTK, Keras, and Tensorflow.
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