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Python Course Data Science

What will I learn?

Unlock the power inside data with our Python Course for Data Science, specially made for Business Intelligence people. Get right into Exploratory Data Analysis so you can find patterns and see what's trending, get good at handling data with Python, and make your skills better when it comes to sales data analysis. Learn how to write Python code that works well, use libraries for data analysis, and explain what you find in a way that people can understand and use. This course focuses on being practical and having good quality information, so it will get you ready to turn raw data into smart business decisions.

Apoia's Unique Features

Online course accessible for life
Certificate compliant with educational standards
Printable PDF summaries
Online support always available
Select and arrange the chapters you wish to study
Set your own course workload
Instant feedback on practical activities
Study at your convenience, without needing internet access

Develop skills

Strengthen the development of the practical skills listed below

Master EDA: Find patterns and see what's trending using ways to show data visually.

Clean Data: Deal with missing information and use good ways to clean data.

Analyze Sales: Check how different regions are doing and divide customers into groups efficiently.

Optimize Python: Write code that works well and use libraries for data analysis.

Deliver Insights: Understand data, explain what you find, and suggest what to do.

Suggested summary

Workload: between 4 and 360 hours

Before starting, you can change the chapters and the workload.

  • Choose which chapter to start with
  • Add or remove chapters
  • Increase or decrease the course workload

Examples of chapters you can add

You will be able to generate more chapters like the examples below

This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.