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 →
DSP-04 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Register my team →
Training Date
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10 Days
USD 1,700
DSP-04
Training Date
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8 Weeks
USD 1,700
DSP-04
Training Date
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10 Days
USD 1,700
DSP-04
Training Date
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10 Days
USD 1,700
DSP-04
Training Date
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8 Weeks
USD 1,700
DSP-04
Training Date
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10 Days
USD 1,700
DSP-04
Training Date
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10 Days
USD 1,700
DSP-04

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 Colombia

From your market

Real tools and case studies from Colombia — taught against the configurations and outcomes you'll actually encounter.

Industry Tools and Platforms Featured in this Training

5
  • Python Python Software Foundation
    Used for data cleaning, exploratory analysis, feature engineering, model training, and automation in predictive analytics workflows.
  • scikit-learn scikit-learn developers
    Used for regression, classification, model validation, and building reproducible machine learning pipelines.
  • Power BI Microsoft
    Used to build interactive dashboards that communicate forecasts, performance trends, and KPI drivers to business stakeholders.
  • Tableau Salesforce
    Used for visual analysis and executive reporting when teams need fast, interactive interpretation of model outputs.
  • SQL Server Microsoft
    Used to query, structure, and prepare datasets from operational systems before analytics and modeling.

Real Results from Real Professionals

Thousands of professionals have transformed their careers through our training programs. Now, it's your turn.

Trusted by 100+ organizations across 40+ countries

Premier Bank
Amnesty International
UNDT SACCO
UNFPA
USAID
AMREF Health Africa
KENTRADE
CPF
UFIA
UNICEF
Central Bank of Kenya
UNDP
GIZ
Premier Bank
Amnesty International
UNDT SACCO
UNFPA
USAID
AMREF Health Africa
KENTRADE
CPF
UFIA
UNICEF
Central Bank of Kenya
UNDP
GIZ
Barbours
Bank of Rwanda
RFA
Dahabshil Bank
Dorcas Aid
Finn Church Aid
KCB Foundation
Ministry of Education Saudi Arabia
NSSF Uganda
RBA
Reserve Bank of Malawi
WASREB Kenya
Virginia Commonwealth University
Barbours
Bank of Rwanda
RFA
Dahabshil Bank
Dorcas Aid
Finn Church Aid
KCB Foundation
Ministry of Education Saudi Arabia
NSSF Uganda
RBA
Reserve Bank of Malawi
WASREB Kenya
Virginia Commonwealth University