Virtual Training
Data Science, AI, and Advanced Analytics
Data Science and Predictive Analytics Online Course
Join our virtual, live instructor-led session and master Data Science and Predictive Analytics Training from anywhere in the world.
10 Days
Duration
Live Online
Delivery
7 Dates
Available
Certificate
Included
Master Data Science and Predictive Analytics to build robust models, automate insights, and drive evidence-based decisions through Python and CRISP-DM methodologies.
Upcoming Virtual Training Schedules
Join from anywhere in the world with our live instructor-led sessions
| Code | Start Date | End Date | Duration | Fee | |
|---|---|---|---|---|---|
| DSP-04 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| DSP-04 | Weekend (8 Weeks) | USD 1,700 | Reserve my seat → Register my team → | ||
| DSP-04 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| DSP-04 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| DSP-04 | Weekend (8 Weeks) | USD 1,700 | Reserve my seat → Register my team → | ||
| DSP-04 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → |
Here's What You'll Learn
Each module tackles real challenges you face in your role
1
Foundations of Data Science and CRISP-DM
2
Data Engineering and SQL for Analytics
3
Exploratory Data Analysis with Python
4
Statistical Inference and Hypothesis Testing
5
Supervised Learning
6
Supervised Learning
7
Tree-Based Models and Ensemble Methods
8
Time Series Forecasting and Analysis
9
Unsupervised Learning and Clustering
10
Model Evaluation and Hyperparameter Tuning
11
Ethical AI and Algorithmic Governance
12
Data Storytelling and Strategic Integration
Built for Poland
From your market
Real tools and case studies from Poland — taught against the configurations and outcomes you'll actually encounter.
Industry Tools and Platforms Featured in this Training
6-
Python Python Software FoundationUsed for data cleaning, feature engineering, model building, and automation in analytics workflows.
-
scikit-learn scikit-learn developersUsed for supervised learning, model evaluation, and predictive modeling tasks.
-
pandas pandas development teamUsed to manipulate tabular datasets, join sources, and prepare training data.
-
Jupyter Notebook Project JupyterUsed for iterative analysis, documenting experiments, and sharing reproducible workflows.
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Power BI MicrosoftUsed to build interactive dashboards for business reporting and executive communication.
-
SQL Server MicrosoftUsed to query operational data, stage analytical datasets, and support reporting pipelines.
Where this course runs
Data Science and Predictive Analytics Training is delivered in the cities below — pick the one that fits your schedule.
