Revou Full Stack Data Analytics Course

The RevoU Full Stack Data Analytics Course is an intensive and comprehensive program designed to equip participants with the essential skills and knowledge required to excel in the field of data analytics. Throughout the course, students engage in hands-on projects and practical exercises that cover the entire data analytics process, from data collection and cleaning to analysis, visualization, and presentation.

Key Highlights of the Course:

Data Collection and Cleaning: Techniques for gathering and preparing data from various sources, ensuring its accuracy and reliability.

Data Analysis: In-depth exploration of data analysis methods using SQL and Python to uncover insights and trends.

Data Visualization: Creating compelling visualizations with tools such as Tableau, Power BI, and Looker Studio to effectively communicate findings.

Programming Skills: Developing proficiency in programming languages such as Python and SQL, essential for automating and enhancing the data analysis process.

Real-world Projects: Applying learned skills to real-world projects, simulating the challenges and tasks encountered in professional data analytics roles.

Ongoing Project:

As part of the RevoU course, I am currently working on a comprehensive project that involves analyzing a dataset from Samba Commerce. The project's objectives include:

Collecting and cleaning sales data to ensure its accuracy and usability.

Performing detailed data analysis using SQL and Python to identify key trends and insights.

Creating interactive visualizations with Tableau and Looker Studio to present findings to stakeholders.

Developing scripts to automate data analysis processes, enhancing efficiency and reproducibility.

This project not only strengthens my technical skills but also provides valuable experience in handling real-world data challenges, preparing me for a successful career in data analytics.

Portfolio:

For more details on my work and projects, please visit my portfolio: [https://drive.google.com/drive/u/1/folders/1NLDL4eLZEzhXXD8zyARE_bjIrUOoE427]