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 Delivery Methods
Choose from instructor-led and blended delivery methods
Attend online or bring this course to your facility
After-course instructor coaching
Introduction to Python for Data Analytics Course Benefits
Use Python for statistical data analysisGenerate summary statistics with pandasClean, transform, and reshape dataGlean insights from the data through visualization
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
Course Outline & On-Demand Training Content
eBooks
Managing Data Science
Hands-On Data Analysis with Pandas
Hands-On Python Natural Language Processing
Data Science Algorithms in a Week – Second Edition
Machine Learning for Algorithmic Trading – Second Edition
Hands-On Neural Networks
Mastering Machine Learning Algorithms – Second Edition
Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits
Hands-On Data Science for Marketing
Python Feature Engineering Cookbook
Artificial Intelligence By Example – Second Edition
Hands-On Machine Learning on Google Cloud Platform
On-Demand Videos
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