Learn data analysis, visualization, dashboards, reporting and business intelligence with Advanced Excel, SQL, Tableau and Microsoft Power BI.
Data analytics is the process of organizing information, finding useful patterns and presenting what those patterns mean. This course brings together spreadsheet analysis, SQL querying, visualization and business intelligence.
Work through Advanced Excel, Microsoft Power BI and Tableau concepts, then practice shaping and explaining data with business-focused reporting.
Build a practical toolkit for analyzing, visualizing and communicating business data.
Understand how business questions guide a useful analysis.
Use advanced formulas, lookups and pivot tables to explore data.
Prepare spreadsheet and database data for reliable analysis.
Shape source data with Power Query and repeatable workflows.
Create reports and interactive dashboards with Microsoft Power BI.
Import, clean and reshape data before it reaches a report.
Work with measures and calculated columns for BI analysis.
Choose clear visual forms to explain patterns and comparisons.
Arrange report visuals into navigable business dashboards.
Connect data models, reporting and business questions.
Track business indicators and present findings to stakeholders.
Translate trends into useful context for decision-making.
A step-by-step curriculum designed by top agency leaders and corporate technology mentors.
Work with advanced spreadsheet analysis and preparation workflows.
Query and combine relational data to answer business questions.
Build a structured model and create measures and report visuals.
Explore interactive visual analysis and storytelling with Tableau.
Present patterns and performance indicators for business decisions.
Get hands-on experience using the exact premium platforms and industry software used by leading Fortune 500 agencies.
Salary varies by role, location, skills and experience.
The course highlights five business datasets spanning retail, finance and healthcare. These are practice themes, not links to published project demos.
Practice theme using the retail datasets described for this course.
Practice theme based on the listed finance KPI and decision-reporting topics.
Practice theme using the healthcare datasets described for this course.
A useful fit for people who want to work with business data, reporting or dashboards.
Explore analytics tools alongside your studies.
Build familiarity with commonly used reporting tools.
Strengthen spreadsheet, SQL and dashboard skills.
Learn how reports can help review business performance.
Use data to better understand operations and customers.
Build confidence reading campaign and audience reports.
Practice KPI analysis and decision-focused reporting.
Explore business intelligence and data visualization.
The published course information does not specify formal prerequisites or a required experience level. Contact admissions to confirm the current entry criteria and whether the course matches your background.
The course lists these roles as possible directions. Outcomes depend on your experience, portfolio and employer requirements.
Analyze datasets and present useful trends to teams.
Support business reporting and decision intelligence.
Build data models, reports and interactive dashboards.
Prepare recurring reports and performance summaries.
Successful learners may receive the applicable DTCI course certification under the institute's current assessment and certification policy. Ask admissions to confirm the course-specific completion criteria. DTCI's ISO 9001:2015 status is an institute-level claim and is separate from any individual course certificate.
Ask DTCI for the current fee, batch schedule, eligibility and course-specific certification details.
Share your contact details and the admissions team can provide current batch information.
It is the process of examining and communicating data to identify patterns and help answer business questions.
Microsoft Power BI is a business intelligence tool used to model data and build interactive reports and dashboards.
The published course details do not state an entry level. Contact admissions to confirm prerequisites and the right starting point.
The listed tools include Microsoft Power BI, Tableau, MySQL, PostgreSQL, Microsoft Excel, Looker Studio and Python.
The course describes practice with five business datasets across retail, finance and healthcare. Ask admissions for the current project format.
Course-specific certification and assessment criteria depend on the institute's current policy. Confirm the applicable details with admissions.
The published duration is 3.5 months.
Use the course enquiry form or contact DTCI admissions at +91 70789 30141 for current fees and batch details.
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