Top Data Analysis courses in 2025

Data analysis is the process of interpreting numerical data to extract meaning and knowledge. Companies like Netflix, Amazon, and Google use data analysis to make decisions. Data analysis is also used in scientific research to test hypotheses. Data analysis can be used to find patterns within data that might not otherwise be noticed. This process is commonly used in business, finance, economics, and marketing. Data analysis can also be used in scientific research to test hypotheses.

The best Data Analysis course of 2025

This course teaches you how to analyze a data set in a variety of ways with a variety of techniques in order to extract all possible information from it. You’ll learn how to use a variety of tools, from Excel to Python to Tableau, and how to apply these tools to a variety of datasets, from basic to complex.

Among the main topics of the course, you will learn:

• Enriching Data with Pivot Table Calculated Values & Fields
• Getting Started
• Visualizing Data with Excel Pivot Charts
• Formatting Data with Pivot Tables
• Wrapping Up
• Sorting, Filtering & Grouping Data with Pivot Tables
• Excel Pivot Table Case Studies
• Excel Pivot Table 101

BEST SELLER Microsoft Excel – Data Analysis with Excel Pivot Tables Maven Analytics, Chris Dutton Master Excel pivots & learn data analysis w/ advanced Excel cases from a top Excel & business intelligence instructor 4.60 (33917 ratings)

The best Data Analysis Complete course of 2025

This Data Analysis course will take you through how to analyze data in Excel and Python. You will be taught how to organize data, clean data, create charts and graphs, and create visualizations. You will also learn to do basic calculations and statistical analysis.

Among the main topics of the course, you will learn:

• MultiIndex
• BONUS: Python Crash Course
• Working with Dates and Times in Datasets
• Merging, Joining, and Concatenating DataFrames
• DataFrames II: Filtering Data
• Series
• Working with Text Data
• The GroupBy Object
• Conclusion
• DataFrames III: Data Extraction

Data Analysis with Pandas and Python Boris Paskhaver Analyze data quickly and easily with Python’s powerful pandas library! All datasets included — beginners welcome! 4.64 (15700 ratings)

The best Data Analysis Rapid course of 2025

Data analysis is a crucial field for business strategy and decision-making, yet many professionals lack the analytical skills necessary to make the most of the data they collect. In this course, you’ll learn the basics of data analysis, including how to make sense of data, identify trends, and make predictions. I will teach you how to make sense of data from a business perspective, identify trends, make predictions, and provide insights. I will teach you how to make sense of data from a business perspective, identify trends, make predictions, and provide insights.

Among the main topics of the course, you will learn:

• Variance Analysis
• Ranking Analysis
• Contribution Analysis
• Preparing Data for Analysis
• Data Analysis – Key Metrics
• Comparison Analysis
• Conclusion
• Pareto Analysis
• Trend Analysis
• Correlation Analysis

Complete Introduction to Business Data Analysis Ian Littlejohn Move beyond BASIC reports and learn data ANALYSIS. Learn to easily turn data into information, insight and intelligence 4.60 (8842 ratings)

The best Data Analysis Practical course of 2025

This Data Analysis course, is a course that, through practical exercises, teaches you how to analyze data in order to make more informed decisions. This course is geared towards professionals in the field who are looking for a way to sharpen their skills by learning proven techniques in analyzing data. Through exercises and case studies, you will learn how to extract, clean, and analyze data with the goal of making more informed decisions.

Among the main topics of the course, you will learn:

• Sample or population data?
• Practical example: inferential statistics
• Hypothesis testing: Introduction
• Distributions
• Dealing with categorical data
• Estimators and estimates
• Confidence intervals: advanced topics
• The fundamentals of regression analysis
• Measures of central tendency, asymmetry, and variability
• Hypothesis testing: Let’s start testing!

Statistics for Data Science and Business Analysis 365 Careers, 365 Careers Team Statistics you need in the office: Descriptive & Inferential statistics, Hypothesis testing, Regression analysis 4.55 (28300 ratings)

The best Data Analysis course for Beginners in 2025

This Data Analysis course is for beginners, designed to teach you all the basics, and give you the skills to become an expert. You will learn the skills needed to be able to interpret data, and answer questions with data. You will learn how to get data from various sources, and how to clean your data. You will also learn how to perform statistical calculations, and explore data.

Among the main topics of the course, you will learn:

• Example Projects.
• BONUS SECTION: THANK YOU!
• Appendix: Web Scraping with Python
• Learning Numpy
• Working with Data: Part 3
• Appendix: SQL and Python
• Appendix: Statistics Overview
• Appendix: Python Special Offers
• Setup
• Working with Data: Part 1

Learning Python for Data Analysis and Visualization Jose Portilla Learn python and how to use it to analyze,visualize and present data. Includes tons of sample code and hours of video! 4.43 (17130 ratings)