Learn Business Data Analytics With AI with AI Tools

Business Data Analytics With AI

Build a future-ready career with Skill Shikshya's professional business data analytics course in Nepal. Learn how top companies and enterprises make smarter business decisions using data analytics, Power BI, Excel, Python, SQL, and AI-powered analytics tools used by leading business intelligence teams across the globe. Whether you want to join a company as a business data analyst, make data-driven decisions for your own business, grow as a Power BI developer, or become a freelance data analyst in Nepal, this course gives you the portfolio, skills, and certification to make it happen.

Business Data Analytics With AI
10,000+Certified Students
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Building the Future with Industry & Academic Leaders!

Course Key Highlights

Online Classes

Hybrid Classes

Attend class physically or online from anywhere and learn practical, real-world skills with guidance from industry professionals.

Industry Practices

Industry Practices

Learn essential strategies used by agencies, brands, and global marketing teams.

Beginner Friendly

Flexible Schedule

Morning and evening batches designed for students and working professionals.

Flexible Schedule

Beginner Friendly

No prior experience required to start learning and building your skills.

Learn Business Data Analytics With AI at Skill Shikshya

Skill Shikshya's Business Data Analytics with AI Course is one of the most comprehensive data analytics courses in Kathmandu, designed for students, business professionals, and aspiring analysts who want to build a serious career in business intelligence, data analysis, and AI-powered decision making. Whether you're a complete beginner searching for a data analytics course for beginners in Nepal or a working professional looking to upgrade to advanced business analytics skills, this course takes you from the fundamentals of data all the way to building a job-ready data analytics portfolio.

This course goes further into the technical foundations of analytics than a typical BI-tool course. In 2026, the highest-value data analysts are increasingly described in industry research as "full-stack", professionals who blend dashboard-building with real data engineering fundamentals: writing SQL with window functions and CTEs, understanding how data is modeled and structured in a database, and working comfortably across cloud data platforms. This course is built around that direction, not a beginner-only spreadsheet course relabeled with "AI" in the title.

You'll master the complete business data analytics workflow, including data collection, data cleaning, statistical analysis, data visualization, dashboard building with Power BI, business reporting, advanced SQL for data querying, Python for data analysis, cloud platform fundamentals, and leveraging AI tools for business intelligence using technologies that top companies, banks, and enterprises in Nepal and globally actively hire for. Our hands-on, project-based curriculum mirrors real-world data analytics workflows used in business intelligence teams, consulting firms, and data-driven organizations.

What You'll Achieve:

  • Build a complete data analytics portfolio with real business case studies and dashboards
  • Write advanced SQL; joins, window functions, CTEs, the skills that separate job-ready analysts from beginners in 2026 hiring
  • Analyze business data and create professional Power BI and Excel dashboards
  • Master SQL, Python, Power BI, and AI analytics tools used by top companies
  • Understand business intelligence, KPI tracking, and data-driven decision making
  • Get career-ready with job placement support for data analysts in Nepal

Who Is This Course For

Aspiring Professionals

Students and Graduates

Start your career with practical training and build job-ready, indusrty-relevant skills.

Entrepreneurs and Business Owners

Entrepreneurs and Business Owners

Apply modern strategies to grow your business and reach more customers.

Students and Graduates

Aspiring Professionals

Build a strong foundation and transition into a professional career path.

Freelancers and Side Hustlers

Freelancers and Side Hustlers

Work independently, offer services globally, and build income-generating skills.

Skills You Will Learn

Business Data Analytics Fundamentals

Understand data analytics concepts, lifecycle, and how businesses use data for smarter decision-making.

Microsoft Excel for Data Analysis

Master Excel functions, pivot tables, and data modeling for professional business reporting.

SQL for Business Data Querying

Write SQL queries to extract, analyze, and manage data from real business databases including joins, window functions, and CTEs used in modern analytics teams.

Power BI for Business Intelligence

Build interactive dashboards and reports to track KPIs and business performance.

Python for Data Analysis

Use Python, Pandas, and NumPy to analyze and visualize large business datasets.

AI Tools for Business Analytics

Leverage AI tools and automation to generate insights and speed up analytics workflows.

Data Visualization & Storytelling

Create impactful charts and dashboards that turn data into actionable insights.

Statistical Analysis & Business Metrics

Apply statistics to analyze trends, performance, and business growth metrics.

Data Cleaning & Data Preparation

Clean, structure, and prepare real-world data for accurate and reliable analysis.

Business KPI Tracking & Reporting

Design KPI dashboards and automate reports for data-driven business decisions.

Google Analytics & Marketing Data

Analyze user behavior, traffic, and campaign performance using Google Analytics.

Data Analytics Portfolio & Case Studies

Build a strong portfolio with real projects to land data analyst roles in Nepa

Data Modeling & Database Design

Understand fact vs. dimension tables, join relationships, and how to structure data correctly, the foundation that separates analysts who query tables from analysts who understand the data underneath them.

Cloud Platforms & the Modern Data Stack

Get hands-on exposure to cloud data platforms and how modern analytics infrastructure works, knowledge increasingly expected of "full-stack" data analysts in 2026.

Experiments, Testing & Forecasting

Learn A/B testing fundamentals and basic forecasting techniques to support business decisions with evidence and prediction, not just historical reporting.

Platforms & Tools You'll Master

You will learn industry-standard tools used by agencies and companies.

PythonPython
PostgreSQLPostgreSQL
ExcelExcel
Google AnalyticsGoogle Analytics

AI-INTEGRATED LEARNING: WHAT YOU DO AT EVERY STAGE

This course doesn't just teach you business data analytics, it teaches you how to work with AI the way modern analysts and analytics engineers already do. Every phase includes real AI tools, applied to real business data, with a concrete deliverable.

THE AI TABLE:

Course PhaseWhat You LearnAI Tools UsedYour Output
Phase 1: Foundations & ExcelAnalytics fundamentals, Excel functions, pivot tablesChatGPT, Excel CopilotA cleaned dataset with a formula-driven summary report
Phase 2: Data Collection & ETLData sourcing, cleaning, ETL basicsChatGPT, GeminiA documented data cleaning and preparation pipeline
Phase 3: SQL & Database ConceptsJoins, window functions, CTEs, database fundamentalsChatGPT, GitHub CopilotA set of advanced SQL queries answering real business questions
Phase 4: Data Modeling & Cloud PlatformsFact/dimension tables, database design, cloud data basicsChatGPT, GeminiA data model diagram and a cloud platform walkthrough project
Phase 5: Visualization & EDAPower BI dashboards, exploratory data analysisPower BI Copilot, ChatGPTA published interactive Power BI dashboard
Phase 6: Experiments, Forecasting & KPIsA/B testing, forecasting, KPI designChatGPT, Power BI AI visualsA forecasting report with KPI dashboard and business recommendation
Phase 7: Capstone & AI ProjectEnd-to-end analytics project from raw data to business presentationAll tools abovePortfolio-ready capstone case study with dashboard and write-up

What Changes When You Work with AI in Business Data Analytics

In 2026, the more technical side of data analytics — writing SQL, designing data models, profiling datasets — is increasingly assisted by AI, according to current industry research on data management trends. This doesn't remove the need for analysts who understand databases; it shifts their work from repetitive technical tasks toward strategic problem-solving.

Here is how AI changes the real day-to-day in this more technical analytics track, and what we teach you to do with it:

  • Writing complex SQL: What used to take 20–30 minutes of trial and error to get a multi-table join or window function right now starts with an AI-drafted query that you verify against the actual schema. The skill shifts from "can you remember the syntax" to "can you tell whether the query's logic actually answers the business question."
  • Data modeling and schema design: AI tools can now suggest a starting fact-and-dimension structure for a dataset, or flag likely join relationships. You still need to understand why a model is structured a certain way, AI gives you a faster first draft, not the judgment to know if it's right
  • Dashboard and report building: Power BI's AI features can generate a first-pass dashboard or DAX formula from a plain-English description. You review, correct, and refine it, the time spent moves from manual configuration to validation and design judgment.
  • Forecasting and KPI design: Basic forecasting and trend analysis, which used to require dedicated statistical training, are increasingly accessible to a well-trained analyst using AI-assisted tools. The judgment of which KPI actually matters to the business and whether a forecast is trustworthy enough to act on remains entirely human.

The rule we teach: AI drafts the query, the model, or the dashboard. Understanding the data well enough to know if the AI got it right and explaining that to a non-technical stakeholder, stays yours. Every AI-assisted query or report in class is reviewed and explained by the student before it counts as finished work.

BUSINESS DATA ANALYTICS COURSE CURRICULUM

Skill Shikshya's Business Data Analytics with AI Course in Nepal is structured to take you from zero data knowledge to a confident, job-ready business data analyst with a deliberately deeper technical foundation than a typical BI-tool-only course. Every module includes practical data projects, real business case studies, and hands-on Power BI and Python dashboard building, designed to create a strong, employer-ready data analytics portfolio.

The curriculum covers the complete business data analytics workflow: Advanced Excel, SQL (including window functions and CTEs), data modeling and database design, cloud platforms, Power BI, Python with Pandas, Google Analytics, statistical analysis, experiments and forecasting, AI analytics tools, data visualization, business KPI reporting, and portfolio development, everything required to succeed as a data analyst in Nepal's corporate and tech sectors and the global business intelligence market.

Below is the complete business data analytics roadmap covered in the course:

Accordian Title

Business Data Analytics With AI

Course Fee: NPR 30,000

How We Make Learning Different

Thinking of enrolling? Here's what makes our courses different.

Beginner Friendly

Beginner Friendly

Start from the basics and gradually progress to advanced concepts.

Expert Led Training

Expert Led Training

Learn from professionals with real-world industry experience.

Hands-On Projects

Hands-On Projects

Work on practical projects and build a strong, portfolio-ready skillset.

Lifetime Learning Resources

Lifetime Learning Resources

Access learning materials, updates, and resources even after completing the program.

Career Support

Career Support

Get guidance for job applications, internships, and career growth opportunities.

Industry Certification

Industry Certification

Earn a recognized certification that validates your skills and knowledge.

Batch Repeating Options

Batch Repeating Options

Repeat sessions if needed to strengthen your understanding.

Free Workshops

Free Workshops

Access additional workshops covering tools, trends, and evolving practices.

HR & CV Sessions

HR & CV Sessions

Resume building, interview preparation, and career counseling support.

Learn From Industry Experts

Our data analytics instructors are active business analysts, Power BI developers, and data science professionals working with real companies, banks, consulting firms, and enterprises across Nepal and internationally. You won't be learning outdated theory you'll learn exactly what the business intelligence and data analytics industry demands right now. Every session includes real business data challenges, live Power BI dashboard builds, Python data analysis exercises, and professional analytics workflows that hiring managers and business leaders at companies in Nepal actively look for when recruiting data analysts.
Saurav Raj Joshi

Saurav Raj Joshi

Business Data Analyst Mentor

Nitesh Raj Pokharel

Nitesh Raj Pokharel

Advanced Excel Mentor (MS Office)

Hemanta Adhikari

Hemanta Adhikari

Business Data Analyst Mentor

Kusum Khatri

Kusum Khatri

Business Data Analyst Mentor

Career Support

Experienced Industry Mentors
CV & Portfolio Development
Personal Brand Development
100% Internship Placement
Personalized Career Roadmap
LinkedIn Profile Positioning

Build real experience, present your skills professionally, and confidently step into jobs, internships, or freelance opportunities.

Join the Business Data Analytics with AI Course Today

Learn Excel, Power BI, Python, and AI tools to analyze data and make smarter business decisions.

Enroll Now

Real words from real learners

What Our Students Say

Hear what our students have to say

Alisha Bhattarai

If you are trying to learn from zero level, even without an IT background, I would definitely recommend SkillShikshya.

Alisha Bhattarai

BDA Student

Hear what our students have to say

Ugen Gautam

Before joining SkillShikshya, I had never used Python, SQL, Pandas, or Power BI. This course changed the way I see data analytics and its opportunities.

Ugen Gautam

BDA Student

Hear what our students have to say

Alina Shakya

Even without a technical background, this course helped me learn tools like Power BI, Excel, SQL, and understand their real-world implementation.

Alina Shakya

BDA Student

Frequently Asked Questions

Everything you need to know about our Professional Courses in Nepal

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