Explore The Best Udemy Courses For Data Analysis In 2025: Student Reviews & Ratings

Complete Introduction to Business Data Analysis

A clear, concise course focused on transforming data into business insights using Microsoft Excel. This course teaches 8 different data analysis techniques with easy-to-master drag-and-drop methods (no complex formulas), covers best practices for data presentation, and shows how to build interactive dashboards. Perfect for Excel users from version 2010 to Office 365 who want to move beyond basic reporting.

“This course completely changed my approach to Excel. I used to spend hours creating basic reports, but now I can build insightful analyses that actually impress my managers—all without writing a single complex formula!” – Jordan Maxwell

“The interactive dashboard techniques alone were worth the price. I implemented what I learned in my quarterly business review and the executive team was amazed at how clearly I could present our data trends.” – Vanessa Torres

The Data Analyst Course: Complete Data Analyst Bootcamp

A comprehensive bootcamp covering the complete skill set needed to become a data analyst. This course focuses on Python programming (beginner to advanced), NumPy, pandas, data collection, cleaning, preprocessing, and visualization. It includes practical exercises with real-world data, coding challenges, and a capstone project, providing both broad understanding and deep technical skills for the data analyst role

“The progression from basic Python to advanced pandas techniques was perfectly paced. Unlike other courses that overwhelmed me with concepts, this one built my confidence through practical exercises that mimicked real work tasks.” – Raj Patel

“The capstone project pushed me to integrate everything I’d learned and helped me build a portfolio piece that actually landed me my first data analyst interview. The real-world focus of this bootcamp made all the difference.” – Eliza Crawford

Data Analyst: Professional Certificate in Data Analysis

A professional certificate program covering the full spectrum of data analysis skills and specialized knowledge. This comprehensive course includes business analysis, Microsoft Excel, data collection, cleaning, statistical analysis, visualization, and ethics. It offers specialized modules for marketing, sales & service analytics, data quality management, and data-based decision making with cost-benefit analysis, and includes SQL for database skills.

“The specialized modules in marketing analytics were exactly what I needed for my current role. The course went beyond generic data skills to show how analytics applies differently across business functions.” – Omar Hassan

“I appreciated how the course balanced technical skills with business context and ethics. The section on data privacy prepared me for compliance questions that came up in my job interviews—something other courses completely overlooked.” – Lauren Wilson

Data Analysis in Python. A Pandas Crash Course for Beginners

A beginner-friendly crash course focusing specifically on pandas for exploratory data analysis in Python. This hands-on course teaches Python basics before diving into real-life data analysis projects, including working with COVID-19 datasets. It covers Jupyter notebooks, pandas, NumPy, matplotlib, Plotly, and SQLite, teaching students where to find data and how to clean it for meaningful insights.

“As someone who tried to learn pandas three times before, this course finally made it click for me. Working with real COVID data made the learning process relevant and engaging rather than abstract.” – Michael Chen

“The instructor’s approach to showing where to find messy real-world data and then clean it was invaluable. This skill alone has saved me countless hours in my current data analyst internship.” – Aisha Kimani

The Complete Data Analyst Course: From Zero to Data Hero!

A truly comprehensive course covering all major tools in the data analyst toolkit. This course teaches Excel (including PivotTables and advanced functions), Python, NumPy, Pandas, visualization with Matplotlib and Seaborn, SQL for database querying, and even an introduction to machine learning with Scikit-Learn. It includes theoretical knowledge, coding challenges, practice activities, and real-world projects for portfolio building.

“The breadth of tools covered was impressive—I went from only knowing Excel basics to confidently working with Python, Pandas, and SQL in just a few months. The portfolio projects were instrumental in showcasing my new skills.” – Diego Morales

“The course’s progression from Excel to Python to SQL gave me a natural learning path that built my confidence gradually. The machine learning section was an unexpected bonus that helped me stand out in interviews.” – Priya Sharma