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DURATION 90 DAYS

AI-Driven Data Science & Analytics Course

Build the skills to turn data into decisions. This program equips employees with practical expertise in Excel, SQL, Python, and Power BI—tools that drive smarter operations and stronger business outcomes.

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What You’ll Learn

Excel for Data Insights

(Days 1–20)

Clean, manipulate, and visualize data.

  • Apply advanced Excel functions for reporting.
  • Certificate: Excel for Analytics

SQL for Data Integration

(Days 21–40)

Write complex queries for reporting and analytics.

  • Combine data from multiple sources.
  • Certificate: SQL for Analytics

Python for Data Science

(Days 41–65)

Perform Exploratory Data Analysis (EDA).

  • Build predictive models with machine learning.
  • Certificate: Python for Data Science

Power BI for Business Intelligence

(Days 66–85)

Create interactive dashboards.

  • Visualize metrics to support data-driven decisions.
  • Certificate: Power BI for Business

Final Capstone Project

(Days 86–90)

Integrate Excel, SQL, Python, and Power BI.

  • Solve a real-world business problem end-to-end.
  • Certificate: AI-Driven Data Science & Analytics – Professional Certificate

Why Chose This Course?

  • Clear timelines: 90 days, structured into progressive modules.
  • Stackable certificates: recognition at every stage.
  • Practical focus: real-world projects, not just theory.
  • Business impact: empowers teams to make smarter, faster decisions.

Equip your workforce

Empower them with the skills to unlock insights, improve efficiency, and foster a data-driven culture.

Schedule a Class
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Multi-state BC network lifts activation & CX

Challenge: Inconsistent agent activity, slow break detection, and manual reporting across states.

What we did: Launched a unified performance cockpit with activation/throughput KPIs, threshold-based alerts, and WhatsApp summaries for field leads.

Results: (10 Weeks)

  • +12–18% agent activation across targeted districts
  • 50% faster issue closure for cash/float & device-health breaks
  • Service recovery before impact on peak days, improving CSAT
(Outcomes are illustrative of typical deployments; exact results vary by environment and scope.)

Regional bank boosts uptime & collections

Challenge: Fragmented views across core, payments, and BC networks led to slow incident response and rising collections TAT.

What we did: Deployed the Insight Hub with role-based dashboards, smart outage alerts, and a collections cockpit; enabled Ask-the-Data for branch/cluster managers.

Results: (12 Weeks)

  • Branch/BC uptime incidents are detected 1–2 hours earlier on average
  • TAT for collections actions down ~25% with prioritized queues
  • Manager reporting time cut ~60%, freeing capacity for customer handling

(Outcomes are illustrative of typical deployments; exact results vary by environment and scope.)