Python 203 - Data Sciences

Learn Python for data science. Work with Pandas, NumPy, and visualization tools to analyze and present data effectively.

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Essential Skills Gained

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Use `pandas` and `numpy` to identify trends within datasets

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Create rich visualizations with `matplotlib` and visual applications with `folium`

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Use open source toolset `scipy` for mathematics, science, and engineering applications

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Sourcing data sets, including pulling data from APIs, and cleaning data for training

Format

  • Instructor-led
  • 5 days with lectures and hands-on labs.

Audience

  • This course was written for professionals interested in Python and Data Sciences. This includes: Engineers, Mathematicians, Actuaries, Network Specialists, System Admins, and developers.

Description

In this course you will learn to use Python, the most popular programming language for data sciences, for data analysis and data visualization. Explore Python libraries to more easily sort and analyze data sets for emerging trends. Quickly produce Excel quality visualizations appropriate for displaying data in real time monitoring systems.

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Upcoming Course Dates

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Course Outline

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Certification

AI Lab Assistance

Software Control Management

Jupyter Notebook

Common Data Types

Regular Expression

Pandas

YAML

Python and Databases

SQL

noSQL

Matplotlib

Time Series

Numpy

Interactive Maps

Seaborn

Scipy

Machine Learning Metrics

Classifications

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