Virtual Training
Data Science, AI, and Advanced Analytics
Exploratory Data Analysis (EDA) Online Course
Join our virtual, live instructor-led session and master Exploratory Data Analysis (EDA) Training from anywhere in the world.
5 Days
Duration
Live Online
Delivery
7 Dates
Available
Certificate
Included
Master Exploratory Data Analysis to uncover hidden patterns, validate data integrity, and drive evidence-based decision-making through advanced Python visualization and statistical profiling techniques.
Upcoming Virtual Training Schedules
Join from anywhere in the world with our live instructor-led sessions
| Code | Start Date | End Date | Duration | Fee | |
|---|---|---|---|---|---|
| EDA-01 | Weekend (4 Weeks) | USD 850 | Reserve my seat → Register my team → | ||
| EDA-01 | Mon - Fri (5 Days) | USD 850 | Reserve my seat → Register my team → | ||
| EDA-01 | Weekend (4 Weeks) | USD 850 | Reserve my seat → Register my team → | ||
| EDA-01 | Mon - Fri (5 Days) | USD 850 | Reserve my seat → Register my team → | ||
| EDA-01 | Mon - Fri (5 Days) | USD 850 | Reserve my seat → Register my team → | ||
| EDA-01 | Weekend (4 Weeks) | USD 850 | Reserve my seat → Register my team → |
Here's What You'll Learn
Each module tackles real challenges you face in your role
1
Exploratory Data Analysis Foundations and Frameworks
2
Data Profiling and Initial Inspection
3
Univariate Analysis and Distribution Discovery
4
Bivariate Analysis and Relationship Mapping
5
Multivariate Interrogation and Dimensionality
6
Outlier Detection and Anomaly Management
7
Missing Data Strategies and Imputation
8
Feature Engineering and Data Transformation
9
Time-Series and Geospatial EDA
10
EDA Synthesis and Executive Reporting
Built for Mauritius
From your market
Real tools and case studies from Mauritius — taught against the configurations and outcomes you'll actually encounter.
Industry Tools and Platforms Featured in this Training
4-
Python Python Software FoundationUsed for data cleaning, profiling, statistical summaries, and reproducible EDA workflows.
-
Pandas Open source Python ecosystemUsed to inspect tables, handle missing values, aggregate data, and generate profiling outputs.
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NumPy Open source Python ecosystemUsed for numerical operations, array handling, and efficient preprocessing of analytical datasets.
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Seaborn Open source Python ecosystemUsed to create exploratory visualizations such as distributions, relationships, and outlier checks.
Where this course runs
Exploratory Data Analysis (EDA) Training is delivered in the cities below — pick the one that fits your schedule.
