ratings
Next Level Python for Data Science and /or Machine Learning covers the essentials of using Python as a tool for data scientists to perform exploratory data analysis, complex visualizations, and large-scale distributed processing on “Big Data”.
Unlimited Duration
March 5, 2021
This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises.In this course yiu will learn about:
· How to work with Python in a Data Science Context
· How to use NumPy, Pandas, and MatPlotLib
· How to create and process images with PIL
· How to visualize with Seaborn
· Key features of SciPy and Scikit Learn
· How to interact with Spark using DataFrames
How to use SparkSQL, MLib, and Streaming in Big Data
Course Curriculum
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- Python Review (Optional) 00:00:00
- iPython 00:00:00
- numpy 00:00:00
- scipy 00:00:00
- A tour of scipy subpackages 00:00:00
- pandas 00:00:00
- matplotlib 00:00:00
- The Python Imaging Library (PIL) 00:00:00
- seaborn 00:00:00
- SciKit-Learn Machine Learning Essentials 00:00:00
- TensorFlow Overview 00:00:00
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- PySpark Overview 00:00:00
- RDDs and DataFrames 00:00:00
- Spark SQL 00:00:00
- (Optional): Spark MLib 00:00:00
- (Optional) Spark Streaming 00:00:00
Course Reviews
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