Virtual Training Data Science, AI, and Advanced Analytics

Data Analytics for Human Resources (HR) Online Course

Join our virtual, live instructor-led session and master Data Analytics for Human Resources (HR) Training from anywhere in the world.

10 Days Duration
Live Online Delivery
7 Dates Available
Certificate Included
Master HR Data Analytics to optimize talent acquisition, improve employee retention, and drive strategic workforce planning through evidence-based human capital insights.

Upcoming Virtual Training Schedules

Join from anywhere in the world with our live instructor-led sessions

Code Start Date End Date Duration Fee
DHR-02 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Register my team →
DHR-02 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Register my team →
DHR-02 Weekend (8 Weeks) USD 1,700 Reserve my seat → Register my team →
DHR-02 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Register my team →
DHR-02 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Register my team →
DHR-02 Weekend (8 Weeks) USD 1,700 Reserve my seat → Register my team →
DHR-02 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Register my team →
Training Date
to
10 Days
USD 1,700
DHR-02
Reserve my seat
Training Date
to
10 Days
USD 1,700
DHR-02
Reserve my seat
Training Date
to
8 Weeks
USD 1,700
DHR-02
Training Date
to
10 Days
USD 1,700
DHR-02
Reserve my seat
Training Date
to
10 Days
USD 1,700
DHR-02
Reserve my seat
Training Date
to
8 Weeks
USD 1,700
DHR-02
Training Date
to
10 Days
USD 1,700
DHR-02
Reserve my seat

Here's What You'll Learn

Each module tackles real challenges you face in your role

1

Foundations of People Analytics and ISO 30414

2

HR Data Governance and Privacy Compliance

3

Metrics, KPIs, and Strategic Scorecards

4

Recruitment and Talent Acquisition Analytics

5

Retention Analytics and Turnover Modeling

6

Performance and Productivity Analytics

7

Compensation, Benefits, and Pay Equity

8

Diversity, Equity, and Inclusion (DEI) Metrics

9

Strategic Workforce Planning and Forecasting

10

Organizational Network Analysis (ONA)

11

Visualizing HR Data with Power BI and Tableau

12

Strategic Integration and C-Suite Reporting

Market-specific guidance for Eswatini

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

3

Field-relevant examples that may be featured in training where they support the confirmed scope. Exact coverage depends on participant needs and delivery format.

  • Sage 300 People Sage Group plc
    Used by organizations in Eswatini and the wider Southern African region to manage payroll, HR records, and people data in a single system, which can then be exported for analysis in tools like Power BI or Excel.
  • Microsoft Power BI Microsoft Corporation
    Adopted by HR and finance teams across Southern Africa to create interactive dashboards and visualizations, enabling people analytics on headcount, turnover, and compensation trends.
  • SAP SuccessFactors SAP SE
    Used by larger employers in the SADC region for cloud-based human capital management, including performance, learning, and recruitment data that feeds into HR analytics and reporting.

Where this course runs

Data Analytics for Human Resources (HR) Training is delivered in the cities below — pick the one that fits your schedule.

Real Results from Real Professionals

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

Customize Training Duration

The standard duration for Data Analytics for Human Resources (HR) Training is 10 Days. The options below are alternative durations with adjusted pricing.

Looking for the standard 10 Days schedule? Use the button below.

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