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Data Analysis Python Course

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What will I learn?

Unlock the potential of data with our Python Course for Data Analysis, specifically designed for Business Intelligence professionals. Gain expertise in time series analysis to identify anomalies and seasonal trends. Delve into sales performance analysis, using visualisations to extract key insights and highlight top-selling products. Enhance your abilities in data cleaning, loading, and exploration using Pandas. Learn to develop compelling visualisations with Seaborn and Matplotlib, and create data-backed reports that inform strategic decision-making. Enrol now to convert data into practical insights.

Apoia's Unique Features

Lifetime access to online courses
Certificate adhering to educational standards
Printable PDF summaries
Online support available at all times
Select and arrange the chapters you wish to study
Customize your course schedule
Instant feedback on practical activities
Study at your convenience, without needing an internet connection

Develop skills

Strengthen the development of the practical skills listed below

Master Time Series Analysis: Analyse trends and identify anomalies in sales data.

Visualise Data Effectively: Create impactful charts using Seaborn and Matplotlib.

Clean Data Efficiently: Transform, normalise, and manage missing values effectively.

Write Persuasive Reports: Structure clear, concise, and data-driven findings.

Develop Data-Driven Strategies: Formulate actionable insights for business growth.

Suggested summary

Workload: between 4 and 360 hours

Before starting, you can change the chapters and 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 it offers practical and relevant knowledge for your professional journey.