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SKODOR Learning Academy
Beginner to AdvancedCareer FocusedPractical / Project-Based

Data Analytics with AI

Transform raw data into strategic business intelligence using modern SQL, Power BI, advanced analytics, and AI-powered insights.

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Data Analytics with AI system overview
Duration

3–5 Months

Internship

3 Months Practical

Capstone Delivery

Verified Projects

Modules

5 Core Modules

Engineered for High Technical Competence

Data Analytics with AI empowers aspiring analysts and business professionals to make high-impact data-driven decisions. You will master data preparation in Excel, complex relational queries in SQL, executive dashboards in Power BI and Tableau, and modern AI tools that automate data cleaning, query generation, and narrative business reporting.

What You Will Master

  • Master professional data cleaning, transformation, and modeling in Excel and Power Query
  • Write advanced SQL queries using joins, subqueries, CTEs, and window functions for deep business analysis
  • Build interactive enterprise BI dashboards with Power BI, DAX formulas, and Star Schema modeling
  • Apply statistical methods, regression, and forecasting to sales, marketing, and operations datasets
  • Leverage Generative AI and LLMs for automated SQL generation, insights discovery, and data storytelling
  • Construct conversational AI analytics tools connecting business users directly to structured databases

Detailed Course Syllabus

All topics and modules are extracted directly from the official course specification.

5 Detailed Syllabus Modules

|
01Introduction to Data Analytics & the Analytics Lifecycle
02Advanced Excel: Data Cleaning, Validation & Preparation Techniques
03Excel Formulas, Lookup Functions (XLOOKUP, INDEX/MATCH) & Conditional Logic
04Pivot Tables, Pivot Charts & Dynamic Array Formulas
05Data Visualization Best Practices & Design Principles
06Descriptive Statistics: Central Tendency, Dispersion & Variance
07Correlation Analysis, Trend Identification & Outlier Detection
08Introduction to Python for Analysts: NumPy & Pandas Foundations
09Exploratory Data Analysis (EDA) Workflows

Tools & Technologies Taught

Directly aligned with production engineering environments.

ExcelData & BI
SQLLanguage
Power BIData & BI
Power QueryData & BI
DAXLanguage
TableauData & BI
PythonLanguage
Pandas & NumPyData & BI
JupyterDevOps & Tools
Generative AIAI & LLM
LLM APIsAI & LLM
Git & GitHubDevOps & Tools

Capstone Projects

Four commercial-grade analytics projects culminating in an autonomous AI Data Analyst solution for enterprise stakeholders.

Sales & Revenue Analytics Dashboard

Sprint Project

Interactive Power BI executive dashboard with drill-down views, cohort analysis, and sales performance indicators.

Customer & Marketing Analytics

Sprint Project

Customer segmentation, retention analysis, CAC/LTV modeling, and campaign ROI tracking using SQL and Python.

AI-Powered Business Intelligence Dashboard

Sprint Project

Automated anomaly detection, predictive forecasting, and automated executive narrative summaries.

AI Data Analyst for Real-World Business

Sprint Project

End-to-end conversational analytics agent enabling business users to query SQL databases using natural language.

3-Month Practical Internship

Practical business intelligence and analytics internship solving live organizational reporting and KPI tracking problems.

Internship Highlights

  • Structured engineering sprint cadence
  • Peer code reviews and architecture defense
  • Portfolio deployment to production cloud instances

Verified Course Learning Outcomes

Extract, clean, and model complex multi-table datasets across relational databases and flat files.
Formulate sophisticated analytical SQL queries using CTEs, window functions, and aggregations.
Build high-impact executive dashboards in Power BI utilizing custom DAX measures and clean UX design.
Apply statistical methods and predictive analytics to forecast business metrics and evaluate performance.
Leverage modern AI tools to accelerate analysis, automate documentation, and build conversational BI interfaces.

Course Specific Questions

Is coding experience required for this course?

No prior coding background is required. The course begins with business tools like Excel and systematically builds up to SQL, Python for data, and Power BI.

How will AI tools be integrated into daily analyst workflows?

You will learn how to use LLMs to automate tedious data cleaning, translate natural language into accurate SQL queries, and automatically generate narrative executive summaries.

What types of roles does this course prepare me for?

The course trains you for roles such as Data Analyst, Business Intelligence (BI) Analyst, Product Analyst, Reporting Specialist, and Analytics Consultant.

Earn Your Data Analytics with AI Certification

Every successful graduate receives an industry-recognized certificate demonstrating verifiable competence in real-world systems, architectures, and practical engineering execution.

Official SKODOR Academy Certificate of Excellence
Authenticated SKODOR Digital CredentialSample Certificate

Proof of Practical Engineering Autonomy

Unlike traditional course certificates awarded for passive video watching, SKODOR credentials prove that you built, debugged, and shipped commercial-grade systems.

Verifiable Credential

Includes unique cryptographic credential ID and instant QR code verification for recruiters and hiring managers.

Demonstrated Production Skills

Issued only upon completing all technical modules, code reviews, and defending live capstone deliverables.

Shareable Globally

Seamlessly add your verified SKODOR certificate to LinkedIn, personal engineering portfolios, and resumes.

Verified with immutable credential ID • Globally shareable on LinkedIn

Enroll in Data Analytics with AI

Cohorts have limited seating to maintain high mentor-to-student interaction and rigorous code reviews. Speak with an admissions advisor today.