Introduction to Python for Data Analytics
Course Outline
Gain the skills you need to analyze and visualize data with Python. In this Python training, you learn the fundamentals of Python programming with a focus on data analytics, and work with popular statistical computing libraries — like numPy, Pandas, sciPy, and Scikit-learn — that allow you to begin analyzing data to answer key business questions.
The eBooks and on-demand courses provided with this offering are a great way to explore your interest in the topics covered in the instructor-led course. At any time during your annual access to this offering, you may attend one of our 1-day review sessions, Course 4509: Introduction to Python for Data Analytics.
Introduction to Python for Data Analytics Benefits
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In this course, you will learn how to:
- Use Python for statistical data analysis.
- Generate summary statistics with pandas.
- Clean, transform, and reshape data.
- Glean insights from the data through visualization.
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Prerequisites
None.
Python for Data Analytics Training Outline
Instructor-Led Training Modules
- Working with data stored in pandas data frame objects
- Generating summary statistics with pandas
- Statistical modelling using NumPy and SciPy
- Plotting and visualizing data using MatPlotLib
- Making use of scikit-Learn to mine and analyse a data set
- choosing a selection results in a full page refresh