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Introduction to Python for Data Analytics
Course 4509
1 DAY COURSE

Course Outline

Gain the skills you need to analyse and visualise 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 analysing data to answer key business questions.

Introduction to Python for Data Analytics Benefits

  • 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 visualisation.

  • 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
  • Mining text with Natural Language Processing (NLP) and Large Language Models (LLMs)
  • Plotting and visualising data using MatPlotLib
  • Making use of scikit-Learn to mine and analyse a data set
Course Dates
Attendance Method
Note about the Certification Exam

When you register for the course, you will be prompted to choose Y/N to take the exam. Please select yes, as all HHS CISO employees are required to attempt the exam if one is offered for the course. Please be advised, if your course if funded by DIR, the Certification Organization has agreed to provide DIR the pass/fail status of your exam. DIR will only share this information in an aggregated report to state leadership that reflects total exam pass or fails. No individual names of any students will be included in any reports.

DIR requires that you submit the request for your exam voucher within one month of the last day of your course. DIR requires that you take your exam within six months of the last day of your course.

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