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 Switzerland
From your market
Real tools and case studies from Switzerland — 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, statistical analysis, feature engineering, and building predictive models.
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scikit-learn Python Software FoundationUsed for supervised and unsupervised learning, model selection, and performance evaluation.
-
pandas The pandas development teamUsed to prepare, transform, and analyze tabular datasets before modeling.
-
Jupyter Notebook Project JupyterUsed to document analysis steps, run experiments, and share reproducible model-development work.
-
Power BI MicrosoftUsed to build interactive dashboards that communicate forecasts and model outputs to business stakeholders.
-
Tableau SalesforceUsed to visualize trends, monitor KPIs, and present predictive insights clearly to non-technical audiences.
Where this course runs
Data Science and Predictive Analytics Training is delivered in the cities below — pick the one that fits your schedule.
