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 | 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 → | ||
| 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
Market-specific guidance for New Zealand
A country-aware view of the pressures, proof points, and practical tools that shape how this course applies locally.
Tools and platforms relevant to this field
4Field-relevant examples that may be featured in training where they support the confirmed scope. Exact coverage depends on participant needs and delivery format.
-
Pandas The pandas development teamUsed to load, clean, profile, and reshape tabular data during EDA.
-
NumPy NumPy communityUsed for numerical operations, array handling, and summary calculations on datasets.
-
Seaborn Seaborn development teamUsed to create statistical visualizations such as distributions, relationships, and outlier checks.
-
Python Python Software FoundationUsed as the primary scripting environment for exploratory analysis and reproducible reporting.
Where this course runs
Exploratory Data Analysis (EDA) Training is delivered in the cities below — pick the one that fits your schedule.
