Advanced Analytics with Python

Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. These programming languages are some of the most powerful and flexible tools in the data analytics toolkit.

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Learning Objectives

This course teaches delegates who are already familiar with analytics techniques and at least one programming language how to effectively use the programming language for three tasks: data manipulation and preparation, statistical analysis and advanced analytics (including predictive modelling and segmentation). Mastery of these techniques will allow delegates to immediately add value in their work place by extracting valuable insight from company data to allow better, data-driven decisions.

  • Outcomes: After completing the course, delegates will be capable of writing production-ready R code to perform advanced analytics tasks enabling their organisations make better, data-driven decisions.


    Course Details

    Course Outline

    1 - Topic 1
  • Intro to our chosen language
  • 2 - Topic 2
  • Basic programming conventions
  • 3 - Topic 3
  • Data structures
  • 4 - Topic 4
  • Accessing data
  • 5 - Topic 5
  • Descriptive statistics
  • 6 - Topic 6
  • Data visualisation
  • 7 - Topic 7
  • Statistical analysis
  • 8 - Topic 8
  • Advanced data manipulation
  • 9 - Topic 9
  • Advanced analytics – predictive modelling
  • 10 - Topic 10
  • Advanced analytics – segmentation
  • Actual course outline may vary depending on offering center. Contact your sales representative for more information.

    Who is it For?

    Target Audience

    Before taking this course delegates should already be familiar with basic analytics techniques, comfortable with basic data manipulation tools such as spreadsheets and databases and already familiar with at least one programming language

    Advanced Analytics with Python

    Course Length : 3 Days

    1. Choose a Date | 2. Click Enroll Now

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