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Python Course For Data Analysis
Unlock the power of data with our Python Course for Data Analysis, geared towards Business Intelligence professionals. Master data cleaning, preprocessing, and visualisation using Matplotlib and Seaborn. Dive into anomaly detection and sales trend analysis to unearth hidden insights. Sharpen your skills in exploratory data analysis and learn to communicate findings effectively through clear, concise reports. This high-quality, practice-focused course equips you with essential tools to drive strategic decisions and take your career to the next level.
- Master data visualisation: Create impactful charts with Matplotlib and Seaborn.
- Detect anomalies: Identify outliers using statistical methods for accurate insights.
- Clean data efficiently: Standardise formats and handle duplicates and missing values.
- Analyse sales trends: Uncover patterns by category, season, and region.
- Communicate insights: Write concise reports and strategic recommendations.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Unlock the power of data with our Python Course for Data Analysis, geared towards Business Intelligence professionals. Master data cleaning, preprocessing, and visualisation using Matplotlib and Seaborn. Dive into anomaly detection and sales trend analysis to unearth hidden insights. Sharpen your skills in exploratory data analysis and learn to communicate findings effectively through clear, concise reports. This high-quality, practice-focused course equips you with essential tools to drive strategic decisions and take your career to the next level.
Elevify advantages
Develop skills
- Master data visualisation: Create impactful charts with Matplotlib and Seaborn.
- Detect anomalies: Identify outliers using statistical methods for accurate insights.
- Clean data efficiently: Standardise formats and handle duplicates and missing values.
- Analyse sales trends: Uncover patterns by category, season, and region.
- Communicate insights: Write concise reports and strategic recommendations.
Suggested summary
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.What our students say
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