Beginner data analysis courses can help you learn data collection techniques, basic statistical concepts, data visualization, and interpretation of results. You can build skills in using spreadsheets for data manipulation, creating charts for visual representation, and applying descriptive statistics to summarize findings. Many courses introduce tools like Excel, Google Sheets, and data visualization software such as Tableau, showing you how to effectively analyze and present data to support decision-making.

Skills you'll gain: Feature Engineering, Data Cleansing, Data Visualization, Data Preprocessing, Logistic Regression, Predictive Modeling, Applied Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning, Model Evaluation, Classification Algorithms, Data Science, Python Programming
Beginner Ā· Guided Project Ā· Less Than 2 Hours

Universidad de los Andes
Skills you'll gain: File I/O, Data Visualization Software, Programming Principles, Computational Thinking, Matplotlib, Python Programming, NumPy, Algorithms, Computer Programming, Pandas (Python Package), Debugging, Data Manipulation, Integrated Development Environments, Data Structures, Data Analysis, Scripting
Beginner Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Seaborn, Matplotlib, NumPy, Scatter Plots, Statistical Visualization, Data Visualization Software, Box Plots, Histogram, Exploratory Data Analysis, Jupyter, Heat Maps, Data Manipulation, Development Environment, Python Programming
Mixed Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Data Visualization Software, Data Cleansing, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Data Manipulation, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Python Programming
Beginner Ā· Guided Project Ā· Less Than 2 Hours

Skills you'll gain: Data Visualization, Keras (Neural Network Library), Data Preprocessing, Artificial Neural Networks, Interactive Data Visualization, Predictive Modeling, Tensorflow, Applied Machine Learning, Feature Engineering, Data Science, Predictive Analytics, Data Manipulation, Machine Learning, Model Evaluation, Regression Analysis, Python Programming
Beginner Ā· Guided Project Ā· Less Than 2 Hours

Universidad Nacional Autónoma de México
Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Extract, Transform, Load, Data Analysis, NumPy, Package and Software Management, Time Series Analysis and Forecasting, Data Visualization Software, Data Science, Python Programming, Jupyter, Graphing, Matplotlib, Data Import/Export, Data Manipulation, Software Installation, Ubuntu, Scripting, Computational Thinking, Mac OS
Beginner Ā· Specialization Ā· 3 - 6 Months

Skills you'll gain: Cloud API, Google Cloud Platform, Text Mining, Application Programming Interface (API), LLM Application, Generative AI, Natural Language Processing, Jupyter, Python Programming, Classification Algorithms
Intermediate Ā· Guided Project Ā· Less Than 2 Hours

Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Probability, Python Programming, Scikit Learn (Machine Learning Library), Data Preprocessing, Linear Algebra, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)
Beginner Ā· Specialization Ā· 3 - 6 Months

University of California, Irvine
Skills you'll gain: Linux, Operating System Administration, Operating Systems, Integrated Development Environments, File Systems, Internet Of Things, Development Environment, Embedded Systems, Python Programming, OS Process Management, Computer Hardware, UI Components, Computer Programming
Mixed Ā· Course Ā· 1 - 4 Weeks

Dartmouth College
Skills you'll gain: Business Ethics, Predictive Analytics, Advanced Analytics, Scikit Learn (Machine Learning Library), Model Evaluation, Digital Transformation, Data-Driven Decision-Making, Feature Engineering, Applied Machine Learning, Big Data, Regression Analysis, Python Programming, Cloud Computing, Data Quality, Model Deployment, Classification Algorithms, Artificial Neural Networks
Intermediate Ā· Course Ā· 1 - 3 Months

Skills you'll gain: Artificial Neural Networks, Data Visualization, Exploratory Data Analysis, Data Presentation, Applied Machine Learning, Classification Algorithms, Machine Learning Methods, Predictive Modeling, Deep Learning, Classification And Regression Tree (CART), Data Analysis, Predictive Analytics, Machine Learning Algorithms, Model Evaluation, Machine Learning, Feature Engineering, Python Programming
Beginner Ā· Guided Project Ā· Less Than 2 Hours

Rice University
Skills you'll gain: Graph Theory, Algorithms, Computational Thinking, Data Analysis, Data Structures, Theoretical Computer Science, Network Analysis, Analysis, Programming Principles, Python Programming
Intermediate Ā· Course Ā· 1 - 4 Weeks