Do I need to know how to write code to become a Data Analyst?

No. Data Analytics relies heavily on modern low-code business intelligence platforms (Excel, Power BI, Tableau) and structured query statements (SQL). You do not need to learn complex software languages like Python, C++, or Java to complete this course or land a job in this field.

What is the primary difference between Data Analytics and Data Science?

Data Analysts focus primarily on the present and past—asking "What happened, why did it happen, and how can we optimize our current setup?" through reports and dashboards. Data Scientists look heavily toward the future—using advanced mathematics, coding, and machine learning to build automated predictive algorithms.

Will I need to purchase expensive licenses for Tableau or Power BI?

Not at all. We utilize Power BI Desktop, which is completely free to download and use. For Tableau, we will guide you through setting up a free Tableau Public account or obtaining an official academic license, ensuring zero added software costs during your training.

data TrackOnline (Live mentored evening/weekend sessions) or Offline (In-person classroom training)Internship Included

Data Analytics

Transform vast pipelines of unstructured corporate metadata into high-fidelity actionable insights utilizing Python, advanced SQL query design, and interactive visualization matrices.

Duration

10 Weeks

Certification

Executive Certificate in Data Analytics & Business Intelligence. Includes a verified dynamic credentials link containing your verified dashboard portfolio to share with prospective employers on LinkedIn.

Technical Stack

Advanced Spreadsheet Modeling & Power QueryDatabase Querying & Management (SQL)Interactive Dashboard Design (Power BI, DAX)Visual Storytelling (Tableau)Business Communication & KPI Reporting

Program Objectives

What You Will Achieve

Automate Manual Reporting: Transform hours of repetitive Excel copying-and-pasting into single-click automated data pipelines using Power Query.

Extract Custom Datasets: Query complex relational databases to aggregate exactly the data needed to address urgent corporate questions.

Model Relational Data: Design clean star-schema data models that link sales, marketing, and operational data smoothly.

Build Live Enterprise Dashboards: Construct real-time, interactive visual tracking systems that refresh automatically as new transactions hit the company databases.

Deliver Strategic Recommendations: Analyze charts to identify underperforming regions, product bottlenecks, or cost leaks, and confidently present these findings to team leaders.

Syllabus Blueprint

Curriculum Structure

A comprehensive, step-by-step training framework designed to take you from foundational logic to advanced enterprise deployment.

Structural spreadsheet design, absolute/relative referencing, and nested logical tracking components.
Advanced formulas: XLOOKUP, INDEX/MATCH, dynamic array filters, and text-parsing mechanisms.
Power Query essentials: Ingesting messy text files, merging split columns, and unpivoting unorganized spreadsheets.

Understanding databases, tables, data types, and primary vs. foreign key constraints.
Core data extraction commands: SELECT, WHERE filtering, pattern matching (LIKE), and relational sort operators.
Advanced analytics aggregation: Multi-field GROUP BY grouping, HAVING conditional loops, and structural INNER/LEFT multi-table joins.

Navigating the Tableau environment: Dimensions vs. Measures, continuous vs. discrete variables.
Chart architecture: Bullets, dual-axis trends, heatmaps, maps, and scatter plots.
Designing interactive dashboards using actions, parameter filters, and structural storyboards.

Importing multi-source assets, resolving modeling errors, and establishing clean data relationships.
Introduction to DAX (Data Analysis Expressions): Calculated columns, explicit measures, and fundamental time-intelligence logic.
Setting up custom themes, row-level security parameters, and publishing live tracking grids to the Power BI Service cloud.

Selecting a real-world corporate dataset (Sales, E-commerce, or Marketing metrics).
Cleaning the data in SQL, building an interactive analytical dashboard, and extracting three concrete business optimizations.
Graduation Presentation: Delivering a 10-minute professional briefing to an industry panel.

Career Trajectory

Industry Opportunities

Upon graduation, you will be equipped to step into these high-demand technical roles across our corporate partner networks.

Data Analyst

Tracks daily operational metrics, isolates product bottlenecks, and builds standardized reports for departmental managers.

Business Intelligence (BI) Analyst

Specializes in building and maintaining live visual dashboards, establishing KPI metrics, and maintaining company-wide data integrity.

Operations Analyst

Reviews internal production, supply chain, or HR processes to uncover inefficiencies and recommend cost-saving measures.

Marketing Data Analyst

Measures multi-channel campaign returns (ROI), tracks customer acquisition costs (CAC), and designs user behavioral funnels.

Knowledge Base

Frequently Asked Questions

Enrollment Portal

Secure Your Seat

Initialize your professional journey by submitting an academic registration request below. Our counselors will contact you to verify details.

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Data Analytics

Transform vast pipelines of unstructured corporate metadata into high-fidelity actionable insights utilizing Python, advanced SQL query design, and interactive visualization matrices.

Duration

10 Weeks

Certification

What You Will Achieve

Automate Manual Reporting: Transform hours of repetitive Excel copying-and-pasting into single-click automated data pipelines using Power Query.

Extract Custom Datasets: Query complex relational databases to aggregate exactly the data needed to address urgent corporate questions.

Model Relational Data: Design clean star-schema data models that link sales, marketing, and operational data smoothly.

Build Live Enterprise Dashboards: Construct real-time, interactive visual tracking systems that refresh automatically as new transactions hit the company databases.

Deliver Strategic Recommendations: Analyze charts to identify underperforming regions, product bottlenecks, or cost leaks, and confidently present these findings to team leaders.

Data Analytics

Technical Stack

What You Will Achieve

Curriculum Structure

Module 1: Advanced Spreadsheet Mastery & Data Cleansing (Weeks 1-2)

Module 2: Relational Databases & SQL Foundations (Weeks 3-5)

Module 3: Exploratory Visual Data Analysis via Tableau (Weeks 6-8)

Module 4: Enterprise Business Intelligence with Power BI (Weeks 9-11)

Module 5: Business Insights Capstone Showcase (Week 12)

Industry Opportunities

Data Analyst

Business Intelligence (BI) Analyst

Operations Analyst

Marketing Data Analyst

Frequently Asked Questions

Do I need to know how to write code to become a Data Analyst?

What is the primary difference between Data Analytics and Data Science?

Will I need to purchase expensive licenses for Tableau or Power BI?

Secure Your Seat

Data Analytics

Technical Stack

What You Will Achieve

Curriculum Structure

Module 1: Advanced Spreadsheet Mastery & Data Cleansing (Weeks 1-2)

Module 2: Relational Databases & SQL Foundations (Weeks 3-5)

Module 3: Exploratory Visual Data Analysis via Tableau (Weeks 6-8)

Module 4: Enterprise Business Intelligence with Power BI (Weeks 9-11)

Module 5: Business Insights Capstone Showcase (Week 12)

Industry Opportunities

Data Analyst

Business Intelligence (BI) Analyst

Operations Analyst

Marketing Data Analyst

Frequently Asked Questions

Do I need to know how to write code to become a Data Analyst?

What is the primary difference between Data Analytics and Data Science?

Will I need to purchase expensive licenses for Tableau or Power BI?

Secure Your Seat

Course Inquiry Form

Course Inquiry Form