Bangalore, India Data Science, AI, and Advanced Analytics

Data Management, Manipulation & Analysis using Excel Training Course

Join our hands-on, in-person training session in Bangalore and accelerate your professional growth.

5 Days Duration
In-Person Delivery
12 Dates Available
Certificate Included
Master Excel Data Analysis to automate complex ETL workflows, build relational data models, and deliver high-impact business intelligence through Power Query and Power Pivot.

Upcoming In-Person Schedules in Bangalore

Reserve Your Spot Today — Pay When You're Ready!

Code Start Date End Date Duration Fee
DMA-01 Mon - Fri (5 Days) USD 4,600 Reserve my seat → Register my team →
DMA-01 Mon - Fri (5 Days) USD 4,600 Reserve my seat → Register my team →
DMA-01 Mon - Fri (5 Days) USD 4,600 Reserve my seat → Register my team →
DMA-01 Mon - Fri (5 Days) USD 4,600 Reserve my seat → Register my team →
DMA-01 Mon - Fri (5 Days) USD 4,600 Reserve my seat → Register my team →
DMA-01 Mon - Fri (5 Days) USD 4,600 Reserve my seat → Register my team →
DMA-01 Mon - Fri (5 Days) USD 4,600 Reserve my seat → Register my team →
DMA-01 Mon - Fri (5 Days) USD 4,600 Reserve my seat → Register my team →
DMA-01 Mon - Fri (5 Days) USD 4,600 Reserve my seat → Register my team →
DMA-01 Mon - Fri (5 Days) USD 4,600 Reserve my seat → Register my team →
DMA-01 Mon - Fri (5 Days) USD 4,600 Reserve my seat → Register my team →
DMA-01 Mon - Fri (5 Days) USD 4,600 Reserve my seat → Register my team →
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5 Days
USD 4,600
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USD 4,600
DMA-01
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5 Days
USD 4,600
DMA-01
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5 Days
USD 4,600
DMA-01
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5 Days
USD 4,600
DMA-01
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5 Days
USD 4,600
DMA-01
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5 Days
USD 4,600
DMA-01
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5 Days
USD 4,600
DMA-01
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5 Days
USD 4,600
DMA-01
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5 Days
USD 4,600
DMA-01
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5 Days
USD 4,600
DMA-01
Training Date
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5 Days
USD 4,600
DMA-01

Here's What You'll Learn

Each module tackles real challenges you face in your role

1

Data Architecture and ETL Foundations

2

Advanced Manipulation with Power Query

3

Relational Data Modeling with Power Pivot

4

Advanced Analytical Calculations with DAX

5

Dynamic Visualization and Executive Dashboards

6

Predictive Analytics and Decision Modeling

7

Automation and AI-Driven Insights

8

Data Governance and Strategic Reporting

Market-specific guidance for United States

A country-aware view of the pressures, proof points, and practical tools that shape how this course applies locally.

Why this course matters in United States

Strategic context for the risks, opportunities, and capability gaps this training addresses locally.

Excel-based data management and analysis remains relevant in the United States because many teams still need fast, auditable ways to clean, reconcile, and report on operational data without waiting for engineering support. The course matters most for finance, operations, procurement, and business intelligence teams that must turn fragmented spreadsheets and exports into consistent reporting packs and decision-ready dashboards. It helps leaders make better short-term decisions on cost, performance, and risk by reducing manual handling and improving the reliability of recurring reports. In practice, Power Query and Power Pivot are especially useful where organizations need repeatable ETL-style workflows inside a familiar Microsoft 365 environment.

Spreadsheet-first analytics is still a business reality

Many U.S. organizations continue to use Excel for reporting, reconciliation, and spend or financial analysis, so staff who can structure data cleanly and build repeatable models can improve day-to-day decision speed.

Automation reduces manual reporting risk

Power Query and Power Pivot support reusable data-preparation and in-memory modeling workflows, which is valuable for teams that repeatedly consolidate exports from ERP, CRM, and finance systems into the same monthly pack.

Data quality is a practical control issue

The course’s emphasis on cleansing, validation, and the GIGO principle is important in roles where formula errors, inconsistent categories, or duplicate records can distort management reporting and operational decisions.

This training is timely because U.S. teams are under pressure to produce faster reporting with fewer manual steps while maintaining traceability in data handling. As organizations expand self-service analytics and automate more of their reporting stack, Excel users who can manage structured datasets well become a front line for operational efficiency and control.

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.

  • Microsoft Excel Microsoft
    Used for spreadsheet-based data cleaning, analysis, pivot reporting, and ad hoc dashboards in finance and operations workflows.
  • Power Query Microsoft
    Used to import, clean, reshape, and combine data from multiple sources without repeated manual copy-paste steps.
  • Power Pivot Microsoft
    Used to build relational data models and analysis layers that support larger datasets and more robust reporting.

Where this course runs

Data Management, Manipulation & Analysis using Excel 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.

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Premier Bank
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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