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Data Analysis and Visualization Course

Data Analysis and Visualization Course
4 to 360 hours of flexible workload
valid certificate in your country

What Will I Learn?

This Data Analysis and Visualization Course shows you how to clean transactional CSVs, fix dates, validate fields, and handle missing values for reliable metrics. You will build features like AOV, RFM, and time-based aggregations, explore distributions and trends, and detect anomalies. Then you will design clear dashboards, optimize performance, and turn findings into concise, actionable insights stakeholders can trust.

Elevify Differentials

Develop Skills

  • Clean transactional CSVs: fix dates, nulls, outliers for trusted BI data.
  • Engineer BI metrics: build AOV, RFM, and time-based features in hours, not weeks.
  • Visualize insights fast: design clear dashboards, KPIs, and time-series views.
  • Analyze patterns: run EDA, correlations, and anomaly checks on sales performance.
  • Turn data into action: craft concise executive stories and data-driven decisions.

Suggested Summary

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.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to switch platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the presentation style and video transcription, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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