Learn data cleaning, formulas, pivot tables, charts, functions, and analytical techniques for business data.
Learn to query databases, filter records, join tables, aggregate information, and extract meaningful business insights.
Create interactive dashboards, reports, visualizations, and business intelligence solutions from different data sources.
Build interactive visualizations and dashboards to explore data, identify trends, and communicate insights effectively.
Learn the fundamentals of Python for data manipulation, analysis, automation, and analytical workflows.
Work with structured datasets by cleaning, transforming, filtering, grouping, and analyzing data efficiently.
Perform numerical calculations, array operations, and data processing tasks using Python.
Create interactive analytical workflows combining Python code, data, visualizations, and documentation.
Create interactive reports and dashboards for presenting data and monitoring key business performance metrics.
Learn how to clean, organize, analyze, and interpret datasets using industry-relevant analytics techniques.
Create professional dashboards and visual reports that make complex data easier to understand and communicate.
Complete practical analytics projects and develop a professional portfolio that demonstrates your data analysis capabilities.
Learn the latest design trends, techniques, and professional workflows.
Work on live projects, branding assignments, and portfolio-building exercises.
Get trained by creative professionals with real-world industry expertise.
Access advanced systems and professional software for enhanced learning.
Prism World helps learners develop practical data analytics skills through structured training, real-world datasets, hands-on projects, and industry-focused tools.
Transform your interest in data into practical analytics skills through industry-focused training, real-world projects, and hands-on experience with modern data analysis and visualization tools.
You will learn data preparation, Excel analysis, SQL, data visualization, dashboard development, reporting, and business data analysis through practical training.
The course includes Microsoft Excel, SQL, Power BI, Tableau, Python, Pandas, NumPy, Jupyter Notebook, and Google Looker Studio.
Yes. The course starts with fundamental data concepts and gradually develops practical skills in analysis, visualization, reporting, and dashboard creation.
Yes. Students work with practical datasets and business scenarios to understand how data analytics techniques are applied in professional environments.
Yes. Students learn to create interactive dashboards and reports using tools such as Power BI, Tableau, and Google Looker Studio.
Students can explore opportunities as Data Analysts, BI Analysts, Reporting Analysts, Data Visualization Analysts, MIS Analysts, and Business Intelligence professionals.
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