info@trainevo.lu   +35220601127

Trainevo

Training Services

Master Data Analysis with Pandas, Matplotlib Python

Reference: Trainevo-082022-IT- 08
Domain: IT


LANGUAGE (S):
FR
DURATION :
5 days
Document
pdf icon

This training allows you to learn how to collect, clean and analyze data with Python using Datascience libraries.

This course is for anyone who wants to learn how to analyze data with Python.

Prerequisite:
Basics in statistics.

 

Collect different types of data.

Clean data using the Pandas library, Numpy.

Visualize data using Matplotlib, Seaborn libraries etc …

Make descriptive / Multivariate statistics, Regressions.

Create dashboards, etc…

Python:

  • Reminders about Python
  • Reminders on descriptive statistics

Libraries in data science 1:

  • Data manipulation with pandas library, numpy
  • Types of data
  • Tools for loading data
  • Describe and transform data
  • Describe and transform unstructured data
  • Temporal data processing
  • Extract descriptive statistics

Data science libraries 2:

  • Data visualization with Malplotlib and seaborn
  • Scatter plot
  • Constructions of histograms, bar charts etc …
  • Motion graphics
  • Installation and use of Cartopy (Cartography)
  • Interactive charts
  • Scrape data on a web page
  • Dashboard creation

 Handling missing data:

  • Causes of missing data
  • Identify and manage missing data

 Introduction to Machaine Learning:

  • Linear regression
  • Logistic regression

Application exercises.

Data analysis project.

 

This course takes place in three stages:

  • Presentation of concepts,
  • Examples & Application Exercises (Data Analysis),”
  • Exercises & quizzes – correction of exercises.

20% theory & 80% practice.

Make a project containing all the tools discussed in class.

Submission of a certificate of attendance.

Address: 19 rue de l’industrie, 8069, Bertrange

For in-company training, please contact us.

Price

1600 € Tax free / Participant

Subscription request

Consent to the use of data:

By submitting this form, I agree that the information recorded may be used to contact me regarding my request and for any possible commercial relationship that may arise. To withdraw your consent to the use of the data requested by this form, please consult our legacy statement.

Please fill in all mandatory fields !
Thank you for your registration. Your request has been sent successfully. We will get back to you as soon as possible to confirm your registration.