Data Analytics

Data Analytics

Build practical data analytics skills and gain hands-on experience with modern tools used by organizations to drive smarter business decisions.

Data Analytics

Learn how to transform raw data into actionable business insights using industry-leading tools such as Excel, SQL, Power BI, Tableau, and Python. Develop practical analytical skills through real-world datasets, interactive dashboards, data visualization, and business reporting projects.

This program helps learners build strong data analysis and visualization skills while gaining hands-on experience with tools used by modern organizations for data-driven decisions.

What You'll Learn

Master the essential skills required to collect, analyze, visualize, and communicate data insights using modern analytics tools and techniques.

Data Analysis

Analyze datasets using Excel, SQL, and Python techniques.

Data Visualization

Create interactive dashboards using Power BI and Tableau.

Business Intelligence

Transform data into actionable business insights and reports.

Analytics Projects

Work on real-world datasets and portfolio-ready projects.

CURRICULUM

01 — Excel & Data Foundations
• Advanced Excel: formulas, Pivot Tables, VLOOKUP/XLOOKUP & data validation
• Data cleaning: handling duplicates, missing values & formatting inconsistencies
• Charts, conditional formatting & dashboard creation in Excel
• Analytical thinking: understanding business problems before analyzing data
• SQL fundamentals: SELECT, WHERE, JOIN, GROUP BY & ORDER BY
• Advanced querying techniques: subqueries, window functions & CTEs
• Working with real databases using MySQL and SQL environments
• Writing data-driven queries to solve real business problems
• Power BI: data modeling, DAX fundamentals & report creation
• Tableau: connecting data sources, building dashboards & storytelling
• Data visualization best practices for clear and effective insights
• Creating interactive dashboards for business reporting and decision-making
• Python fundamentals and Pandas for data analysis and manipulation
• Data visualization using Matplotlib and Seaborn
• Automating reports, workflows, and analytical tasks with Python
• Capstone project: complete end-to-end analytics solution with presentation

Data Analytics

4.8 Stars
Yes, certificate of completion.

Tools & Technologies

Why Learners Choose NexEdge For Career Growth

Focused on practical learning, industry exposure, and career-focused programs designed to prepare learners for real-world opportunities.

Industry-Focused Curriculum

Programs designed around real industry tools, trends, and skills.

Hands-On Learning

Practical projects and real-world exposure to improve confidence.

Expert Trainers

Learn from experienced professionals with industry expertise.

Placement Support

Career-focused guidance and support for future opportunities.

Flexible Learning Modes

Online, offline, and hybrid training designed for modern learners.

Start A Conversation With Us

Email Support

info@nvvnexedge.com

Business Hours

Monday – Saturday, 09:00 – 17:00

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