Data analysis with python

Private session

This training is available in a private or personalized format. It can be provided in one of our training centres or at your offices. Call one of our consultants of submit a request online.

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  • Duration: 2.5 days
  • Regular price: On request

Course outline

Reference : @Python data analytics

Duration : 2,5 days

Prerequisites

Attendee must know how to use a computer and how to install software

Objectives

  • Data preparation (data aggregation, data normalization)
  • Data analysis and interpretation
  • Data visualization and results presentation
  • Support in decision making, in order to improve business strategies
  • Correct possible problems in data processing pipeline

Contents

  1. Introduction
  2. Data preparation for analysis, common issues and handling missing information
  3. Key metrics in Data analysis
  4. Comparison analysis
  5. Trend analysis
  6. Ranking analysis
  7. Variance analysis
  8. Contribution analysis
  9. Frequency analysis
  10. Correlation analysis
  11. Pareto analysis

Surround yourself with the best

Pierre-Edouard Brondel
Pierre-Edouard Brondel
Trainer and Desktop Application Consultant
Renowned as an educational expert in the IT and office technology field who has accumulated more than 25 years of experience, Pierre-Édouard is first and foremost passionate about human capital.
Marc Maisonneuve
Marc Maisonneuve
Trainer and Professional Efficiency Consultant
Frédéric Paradis
Frédéric Paradis
Certified Trainer and Cloud Architect
As a certified Microsoft trainer, Frédéric describes himself as a Cloud magician who easily navigates the mythical space between technology and reality.
Luc Labelle
Certified Trainer and IT Consultant
Recognized by his peers as an inspiring coach, trainer, and consultant, Luc is able to transfer his knowledge to benefit his teams.
Be aware of trends, innovations and best practices, every month.
Confidentiality
Training center accredited by Emploi-Québec, Accreditation : 0051460
GST : 141582528 – QST : 1019557738
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