Data Analysis Courses
Data analysis courses can help you learn statistical methods, data visualization techniques, and data cleaning processes. You can build skills in interpreting trends, making data-driven predictions, and communicating insights effectively. Many courses introduce tools like Excel, Python, and SQL, that support manipulating datasets and performing complex analyses. You'll also explore topics such as regression analysis, machine learning basics, and data storytelling, equipping you with practical knowledge to tackle real-world data challenges.
Popular Data Analysis Courses and Certifications
Skills you'll gain: Plotly, Histogram, Interactive Data Visualization, Scatter Plots, Plot (Graphics), Data Visualization, Data Analysis, Python Programming
Status: Free TrialSkills you'll gain: Data Structures, Graph Theory, Algorithms, Java, Object-Relational Mapping, Performance Tuning
Status: NewStatus: Free TrialSkills you'll gain: Exploratory Data Analysis, Matplotlib, Box Plots, Data Analysis, Data Visualization, Descriptive Statistics, Scatter Plots, Data Visualization Software, Histogram, Seaborn, Statistical Analysis, Correlation Analysis, Statistical Methods
Status: Free TrialDuke University
Skills you'll gain: Bash (Scripting Language), Linux Commands, Shell Script, Linux, Linux Administration, Unix Shell, File Management, Unix, Unix Commands, File Systems, Scripting, Command-Line Interface, Remote Access Systems, Data Manipulation, Data Processing, Data Management
Status: PreviewPeking University
Skills you'll gain: Algorithms, Pseudocode, Theoretical Computer Science, Mathematical Modeling, Computational Thinking, Applied Mathematics, Data Structures, Graph Theory, Mathematical Theory & Analysis, Design Strategies, Bioinformatics
Status: NewStatus: PreviewMicrosoft
Skills you'll gain: Data Manipulation, Data Transformation, Tidyverse (R Package), Data Wrangling, R Programming, Data Analysis, Data Cleansing
Status: Free TrialSkills you'll gain: Data Ethics, Responsible AI, Emerging Technologies, Business Ethics, Big Data, Information Privacy, Personally Identifiable Information, Diversity Awareness, Data Security, Artificial Intelligence
Status: NewSkills you'll gain: Data Pipelines, Data Warehousing, SQL, Google Cloud Platform, Data Processing, Data Quality, Apache Spark, Generative AI, Applied Machine Learning, Big Data, Serverless Computing, Machine Learning, Data Analysis, Time Series Analysis and Forecasting
Skills you'll gain: Ggplot2, Tidyverse (R Package), Data Visualization, Data Analysis, Exploratory Data Analysis, R Programming, Data Visualization Software, Data Manipulation, R (Software)
Status: Free TrialJohns Hopkins University
Skills you'll gain: Calculus, Mathematical Software, Data Analysis, Mathematical Theory & Analysis, Derivatives, Graphing, Algebra
Status: NewStatus: PreviewNortheastern University
Skills you'll gain: Data Mining, Text Mining, Time Series Analysis and Forecasting, Artificial Neural Networks, Statistical Analysis, Supervised Learning, Predictive Modeling, Deep Learning, Big Data, Data Science, Feature Engineering, Classification And Regression Tree (CART), Unsupervised Learning, Regression Analysis, Machine Learning, Algorithms
Skills you'll gain: Dashboard, Data Visualization Software, Real Time Data, Data Processing, Node.JS, Data Analysis, Application Programming Interface (API), Web Development Tools, JSON, Javascript
In summary, here are 10 of our most popular Data Analysis courses
- Crash Course on Interactive Data Visualization with Plotly: Coursera
- Java: Non-Linear Data Structures: Codio
- Data Science Fundamentals Part 2: Unit 1: Pearson
- Linux and Bash for Data Engineering: Duke University
- 算法设计与分析 Design and Analysis of Algorithms: Peking University
- Mastering Data Wrangling with dplyr: Microsoft
- Promote the Ethical Use of Data-Driven Technologies: CertNexus
- Google BigQuery for Data and ML Engineers: Pearson
- Data Visualization using dplyr and ggplot2 in R: Coursera
- Calculus through Data & Modeling: Limits & Derivatives: Johns Hopkins University
