Applied Data Science courses can help you learn data analysis, statistical modeling, machine learning, and data visualization techniques. You can build skills in data cleaning, exploratory data analysis, and predictive analytics to derive insights from complex datasets. Many courses introduce tools like Python, R, and SQL, along with libraries such as Pandas and Scikit-learn, that support implementing data-driven solutions and automating processes in real-world applications.

LearnQuest
Skills you'll gain: Relational Databases, SQL, Databases, Data Access, Data Manipulation, Database Management, Query Languages
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Ggplot2, Data Cleansing, Tidyverse (R Package), Data Wrangling, Data Transformation, Data Visualization, R Programming, Data Manipulation, Data Analysis, Data Management, Pivot Tables And Charts
Intermediate · Guided Project · Less Than 2 Hours

University of California San Diego
Skills you'll gain: Supervised Learning, Feature Engineering, Predictive Modeling, Predictive Analytics, Data Manipulation, Classification Algorithms, Applied Machine Learning, Design Thinking, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Data Cleansing, Data Preprocessing, Regression Analysis, Tensorflow, Statistical Methods, Logistic Regression
Intermediate · Course · 1 - 3 Months
University of Glasgow
Skills you'll gain: Health Informatics, ICD Coding (ICD-9/ICD-10), Clinical Data Management, Data Mining, Medical Records, Clinical Informatics, Descriptive Analytics, Database Design, Electronic Medical Record, Precision Medicine, Analytics, Relational Databases, Patient Flow, Exploratory Data Analysis, Descriptive Statistics, Predictive Analytics, Predictive Modeling, SQL, Interoperability, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Dataflow, Google Cloud Platform, NoSQL, Cloud Storage, Data Pipelines, Data Integration, Data Storage Technologies, Data Processing, Big Data, Data Validation
Beginner · Project · Less Than 2 Hours

University of California, Irvine
Skills you'll gain: Extract, Transform, Load, Data Warehousing, Data Mining, Business Intelligence, Star Schema, Snowflake Schema, Data Modeling, Unsupervised Learning, Business Analytics, Data-Driven Decision-Making, Predictive Modeling, Cloud Computing, Market Analysis, Supervised Learning, Classification Algorithms
Beginner · Course · 1 - 4 Weeks

University of California, Davis
Skills you'll gain: Spatial Analysis, ArcGIS, Geographic Information Systems, Geospatial Mapping, Data Quality, Data Mapping, Data Modeling, Vector Databases, Data Management, Data Storage, Data Sharing, Data Manipulation, Relational Databases, Query Languages, Analytics
Intermediate · Course · 1 - 4 Weeks
Coursera
Skills you'll gain: Apache Kafka, Data Pipelines, Data Mapping, Data Integrity, Data Transformation, Database Design, Data Modeling, Query Languages, SQL, PostgreSQL, Data Capture, Data Validation, Continuous Integration, Data Storage Technologies, Real Time Data, Continuous Monitoring, Software Versioning, Schematic Diagrams
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Data Modeling, Data Transformation, Data Warehousing, Data Preprocessing, Apache Hadoop, Data Pipelines, Apache Spark, Feature Engineering, Star Schema, Real Time Data, Data Access, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Simplilearn
Skills you'll gain: Data Analysis Expressions (DAX), Microsoft Excel, Excel Formulas, Pivot Tables And Charts, Dashboard, Data Processing, Data Presentation, Data Transformation, Data Analysis, Data Visualization, Barcoding, Microsoft PowerPoint, Data Import/Export
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Storytelling, Data Presentation, Generative AI, Data Ethics, Prompt Engineering, Data Visualization, Interactive Data Visualization, Plotly, Responsible AI, Data Visualization Software, Data-Driven Decision-Making, Matplotlib, Seaborn, Artificial Intelligence, Automation, Data Integrity
Intermediate · Course · 1 - 4 Weeks

Università di Napoli Federico II
Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, R (Software), Artificial Neural Networks, Transfer Learning, Machine Learning, Exploratory Data Analysis, Tidyverse (R Package), Deep Learning, Predictive Modeling, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Wrangling, Data Modeling
Intermediate · Course · 1 - 4 Weeks