Applied Data Science Courses
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.
Popular Applied Data Science Courses and Certifications
University of Colorado Boulder
Skills you'll gain: Tidyverse (R Package), Rmarkdown, R Programming, Ggplot2, R (Software), Plot (Graphics), Data Visualization, Data Import/Export, Statistical Visualization, Data Wrangling, Statistical Reporting, Data Visualization Software, Data Presentation, Data Analysis, Data Science, Data Manipulation, Statistical Analysis, Relational Databases, Data Cleansing, Communication
University of Michigan
Skills you'll gain: Network Analysis, Social Network Analysis, Network Model, Graph Theory, Data Analysis, Predictive Analytics, Python Programming, Algorithms
Logical Operations
Skills you'll gain: Seaborn, Matplotlib, Data Transformation, Plot (Graphics), Pandas (Python Package), Data Manipulation, Data Visualization Software, NumPy, Data Visualization, Data Analysis, Scatter Plots, Data Science, Jupyter, Graphing, Data Processing, Box Plots, Python Programming, Computer Programming, Computer Programming Tools, Software Development
University of Pittsburgh
Skills you'll gain: NumPy, Matplotlib, Plot (Graphics), Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Python Programming, Data Analysis, Data Science, Mathematical Software, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning
Skills you'll gain: Data Validation, Extract, Transform, Load, Object-Relational Mapping, Data Cleansing, Data Manipulation, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Database Management, Data Transformation, Data Integrity, Relational Databases, Exploratory Data Analysis, Data Store, Databases, Descriptive Analytics, Data Persistence, Data Analysis, Graphical Tools
Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Methods, AI Personalization, Classification Algorithms, Machine Learning, Model Training, Logistic Regression, Model Optimization, Data Analysis, Driving engagement, Persona (User Experience)
Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Statistical Analysis, Data Analysis, Model Evaluation, Data Transformation, R Programming, Data Visualization, Regression Analysis, Predictive Modeling, Statistical Methods, R (Software), Data Manipulation, Plot (Graphics), Data Science, Box Plots, Statistical Visualization, Correlation Analysis, Model Training, Tidyverse (R Package)
Logical Operations
Skills you'll gain: Power BI, Business Reporting, Microsoft Power Platform, Business Intelligence, Business Intelligence Software, Data Visualization Software, Data Analysis, Microsoft Excel, Data Analysis Software, Data Modeling, Data Integration, Data Access, Self Service Technologies, Data Management, Microsoft PowerPoint, Microsoft 365, Microsoft Office
University of London
Skills you'll gain: Plot (Graphics), Data Visualization, Data Literacy, Statistical Methods, Data Science, Applied Machine Learning, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Data Processing, Analytics, Machine Learning, Data Manipulation
Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Data Science, Statistical Modeling, Predictive Modeling, Machine Learning Methods, Exploratory Data Analysis, Machine Learning, Data Analysis, Applied Machine Learning, Machine Learning Software, Feature Engineering, Random Forest Algorithm, Supervised Learning, Logistic Regression, Data Processing, Model Optimization, Data Manipulation, Data Visualization
University of Illinois Urbana-Champaign
Skills you'll gain: Business Workflow Analysis, Business Analysis, Analytics, Data Preprocessing, Data Analysis, Data-Driven Decision-Making, Descriptive Analytics, Data Presentation, Business Solutions, Python Programming
Skills you'll gain: Dashboard, Dashboard Creation, Power BI, Data Storytelling, Data Visualization Software, Microsoft Power Platform, Data Visualization, Data Presentation, Advanced Analytics, Statistical Reporting, Interactive Data Visualization, Data Analysis, Data-Driven Decision-Making, Web Content Accessibility Guidelines
In summary, here are 10 of our most popular applied data science courses
- Expressway to Data Science: R Programming and Tidyverse:Â University of Colorado Boulder
- Applied Social Network Analysis in Python:Â University of Michigan
- Python Data Science: pandas, Matplotlib, and Seaborn:Â Logical Operations
- Linear Algebra and Regression Fundamentals for Data Science:Â University of Pittsburgh
- Data Science Fundamentals Part 1: Unit 3:Â Pearson
- Applied Machine Learning with Python:Â Edureka
- Data Analysis with R:Â IBM
- Power BI: Data Analysis, Reporting, and Connecting:Â Logical Operations
- Foundations of Data Science: K-Means Clustering in Python:Â University of London
- Applied Machine Learning Without Coding:Â Edureka
