Turn Data Into Career-Ready Skills.
Learn how to work with real-world data, create meaningful dashboards and turn business information into actionable insights with practical Data Analytics training.
Business Dashboard
Learn to Work With Data. Learn to Think With Data.
Data Analytics is about more than creating reports. It is about understanding data, finding useful patterns and communicating insights that can support better business decisions.
At Tejas BI Academy, the Data Analytics learning path focuses on practical skills using commonly used tools such as Excel, SQL and Power BI. You will work through exercises, datasets, dashboards and project-style problems to strengthen your understanding.
Learn with purpose. Practice concepts on realistic data and build skills you can continue developing beyond the classroom.
Build the Skills Behind Modern Data Analysis
Develop a practical foundation across data preparation, analysis, visualization and business reporting.
Advanced Excel
Work confidently with formulas, PivotTables, data cleaning, analysis and professional reporting.
SQL & Databases
Learn how to retrieve, filter, combine and summarize information from structured datasets.
Power BI
Create interactive dashboards, work with data models and present insights through visual reports.
Data Visualization
Understand how to select charts, organize information and communicate important findings clearly.
Business Analysis
Connect data with business questions and learn how analysis can support better decisions.
Reporting Skills
Build structured reports and communicate insights in a clear and professional way.
Work With Tools Used Across Data Teams
Build practical familiarity with tools that are widely used for spreadsheets, databases, business intelligence, reporting and data visualization.
Discuss the Course →
Excel
Analysis & Reporting
SQL
Data & Databases
Power BI
BI & Dashboards
Python
Data Foundations
A Structured Path From Basics to Practical Analysis
The curriculum can be adapted according to the learner's background, current skills and course requirements.
Data Analytics Foundations
Understand the role of data analytics and learn how analysts approach business problems.
Excel for Data Analysis
Learn practical spreadsheet techniques for cleaning, organizing, analyzing and presenting data.
SQL & Data Extraction
Develop the ability to work with relational data and retrieve useful information using SQL queries.
Data Cleaning & Preparation
Learn how to identify inconsistencies and prepare datasets before analysis and visualization.
Power BI & Dashboard Development
Create interactive reports and dashboards that turn data into clear visual insights.
Business Reporting & Insights
Learn how to communicate findings and turn analysis into useful business recommendations.
Don't Just Learn Tools. Build With Them.
Apply your learning through realistic business-style projects involving data preparation, analysis, dashboards and reporting.
Sales Performance Dashboard
Analyze sales performance, products, regions and key business metrics through an interactive dashboard.
Customer Analysis
Explore customer data to identify useful patterns, segments and trends that can support business decisions.
Business KPI Report
Build a structured report that connects important business KPIs with clear analysis and recommendations.
Built for Learners Who Want Practical Data Skills
You don't need to be an expert before starting. The learning path can help beginners and professionals gradually build their analytics capabilities.
Learn Through a Practical Process
The goal is to help you move from understanding concepts to applying them independently.
Learn Concepts
Understand the fundamentals before moving into practical applications.
Practice Skills
Reinforce concepts with exercises, examples and structured datasets.
Work on Projects
Apply your learning to business-style scenarios and practical analytics projects.
Build Confidence
Strengthen your portfolio, analytical thinking and understanding of industry tools.
Data Analytics
This certificate represents completion of the applicable learning program.
TEJAS BI ACADEMYComplete Your Learning With Recognition
Learners who successfully complete the applicable course requirements may receive a course completion certificate from Tejas BI Academy, subject to the academy's certification criteria.
Build Skills With Your Career Goals in Mind
Learning is only one part of preparing for a data career. Tejas BI Academy focuses on helping learners understand how their skills can be presented and developed for relevant opportunities.
Talk to Our Learning Team →Understand how to present relevant skills, projects and tools on your profile.
Prepare for common questions and improve your confidence through practice.
Get direction on relevant learning paths and potential analytics career roles.
Questions About the Data Analytics Course?
Here are answers to some common questions learners may have before starting the program.
Yes. The learning path is structured to help learners build their understanding step by step. Prior professional experience in analytics is not required to begin learning the fundamentals.
The learning path focuses primarily on tools such as Microsoft Excel, SQL and Power BI, along with data visualization, reporting and business analysis concepts.
The course is designed around practical learning, including exercises, datasets, dashboards and project-style business problems where applicable.
The course can be suitable for professionals exploring a transition into data and analytics. Your previous experience, skill development and individual career profile will influence the roles you may pursue.
Learners who meet the applicable course completion requirements may receive a course completion certificate from Tejas BI Academy.
Career-focused support may include guidance around resumes, interviews, profile development and preparation for relevant opportunities, depending on the applicable program support.
Ready to Build Your Data Analytics Skills?
Explore the course, understand the learning path and speak with our team before you begin.