Professional Data Analytics Program in Nepal

Master Excel, SQL, Python & Power BI with Hands-On Practical Training

Job-Ready, Industry-Focused & Fully Practical Program

Become a job-ready Data Analyst by learning the complete data analytics workflow using Microsoft Excel, SQL, Python, and Microsoft Power BI through hands-on projects and real-world business scenarios.

No unnecessary theory overload. Learn how to collect, clean, analyze, visualize, and present data to solve real business problems and make data-driven decisions.

What You Will Be Able To Do After This Training

You will learn how to:

● Understand the complete Data Analytics lifecycle
● Collect, clean and prepare data for analysis
● Analyze business data using Microsoft Excel
● Query and analyze databases using SQL
● Analyze and explore data using Python
● Build interactive dashboards using Power BI
● Solve real-world business problems using data
● Present actionable insights to stakeholders
● Build a professional Data Analytics portfolio
● Prepare for Data Analyst technical and HR interviews

Core Data Analytics Skills

You will master how to:

● Perform data cleaning and preparation
● Use Excel functions, formulas and Pivot Tables
● Write SQL queries and work with databases
● Perform data analysis using Python, NumPy and Pandas
● Conduct Exploratory Data Analysis (EDA)
● Create meaningful data visualizations
● Build data models and use DAX in Power BI
● Design interactive reports and dashboards
● Convert raw data into actionable business insights

What You Will Learn (Modules Covered)

● Data Analytics Fundamentals – Analytics Lifecycle, Types of Analytics, Business Understanding & Data-Driven Decision Making
● Microsoft Excel for Data Analytics – Data Cleaning, Functions & Formulas, Pivot Tables, Charts, Dashboards & Business Reporting
● SQL for Data Analytics – Database Fundamentals, Queries, Filtering, Aggregation, Joins, Subqueries, CTEs, Window Functions & Query Optimization
● Python for Data Analytics – Python Fundamentals, NumPy, Pandas, Data Cleaning, EDA & Visualization
● Microsoft Power BI – Power BI Fundamentals, Power Query, Data Modeling, DAX, Interactive Reports, Dashboard Design & Power BI Service
● Capstone Project – Business Problem Understanding, Data Preparation, Analysis, Dashboard Development & Insight Presentation
● Career Development & Interview Preparation – Resume Building, LinkedIn Optimization, Portfolio Development, Technical & HR Interview Preparation and Business Case Solving

Hands-On Projects

Throughout the program, you will work on practical projects including:

● Sales Performance Dashboard
● Retail Sales Analysis
● Customer Behavior Analysis
● Executive Business Dashboard
● Capstone Data Analytics Project

Who This Course Is For

Perfect for:

● Students and fresh graduates looking for Data Analyst careers
● Professionals looking to transition into data analytics
● Business professionals who want to make data-driven decisions
● Working professionals upgrading their analytical skills
● Aspiring Data Analysts and Business Analysts
● Anyone looking to build a career in data analytics

No prior educational qualification is required.

Why This Training Is Different

✔ Basic to Advanced structured learning path
✔ Learn through Theory + Practical + Industry Projects
✔ Complete analytics workflow from raw data to insights
✔ Hands-on projects based on real-world business scenarios
✔ Dedicated portfolio development
✔ Technical and HR interview preparation
✔ Practical exposure to multiple industry-standard tools
✔ Capstone project to demonstrate your analytics skills

Tools You Will Learn

● Microsoft Excel
● MySQL / SQL Server
● Python
● NumPy & Pandas
● Jupyter Notebook
● Visual Studio Code
● Microsoft Power BI
● Git & GitHub (Introduction)

Career After This Training

After completing this program, you can:

● Start your career as a Data Analyst
● Apply for data and business analytics roles
● Build and showcase a professional analytics portfolio
● Work with business data and generate actionable insights
● Create professional dashboards and reports
● Transition into data-driven roles across different industries

Program Structure

The program is designed as a 55-day, 2-hours-per-day practical learning program covering the complete journey from Data Analytics fundamentals to career preparation.

Learn Data → Analyze Data → Visualize Insights → Solve Business Problems → Build Your Career

Start Your Data Analytics Career Today

Data is at the heart of modern business decision-making. This program is designed to help you develop the technical, analytical, business and career skills required to become a job-ready Data Analyst.

Learn practical skills → Work on real projects → Build your portfolio → Prepare for interviews → Launch your career

Frequently Asked Questions (FAQ) – Professional Data Analytics Program

What is the Professional Data Analytics Program?

It is a comprehensive Basic to Advanced training program designed to develop the technical, analytical and business skills required to become a job-ready Data Analyst. The program covers Excel, SQL, Python and Power BI through practical projects and business scenarios.

Do I need any prior experience to join this course?

No. The syllabus states that there is no prior educational level requirement for the course.

What will I learn in this training?

You will learn Data Analytics fundamentals, Excel, SQL, Python, Power BI, data cleaning, data visualization, dashboard development, business problem-solving, portfolio development and interview preparation.

Will I work on practical projects?

Yes. The program includes mini projects such as Sales Performance Dashboard, Retail Sales Analysis, Customer Behavior Analysis and Executive Business Dashboard, followed by a capstone project.

Will the training help me prepare for Data Analyst jobs?

Yes. The program specifically includes resume building, LinkedIn optimization, portfolio development, technical interview preparation, HR interview preparation and business case solving.

What tools will I learn?

You will work with Microsoft Excel, MySQL/SQL Server, Python, Jupyter Notebook, Visual Studio Code, Microsoft Power BI, and an introduction to Git & GitHub.