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
Skills you'll gain: Jupyter, Data Modeling, Model Deployment, Data Science, Data Preprocessing, Data Cleansing, Classification And Regression Tree (CART), Business Research, Data Mining, Data Manipulation, Model Evaluation, Model Training, Data Quality, Data Analysis, Business Requirements, Data Collection, Decision Tree Learning, Data Storytelling
Skills you'll gain: Data Storytelling, Dashboard Creation, Tableau Software, Dashboard, Market Data, Data-Driven Decision-Making, Data Presentation, Feature Engineering, Analytical Skills, Data Ethics, Exploratory Data Analysis, Data Visualization Software, Data Literacy, Case Studies, Business Intelligence, Business Analytics, Financial Market, Interactive Data Visualization, Data Analysis, Statistical Visualization
Skills you'll gain: Descriptive Statistics, Model Evaluation, Feature Engineering, Probability & Statistics, Supervised Learning, Statistical Hypothesis Testing, Exploratory Data Analysis, Box Plots, Regression Analysis, Statistics, Predictive Modeling, Time Series Analysis and Forecasting, Data Science, Statistical Programming, Histogram, Statistical Analysis, Database Application, Database Software, Integrated Development Environments, Python Programming
Edureka
Skills you'll gain: Power BI, Data Visualization, Data Analysis Expressions (DAX), Matplotlib, Plotly, Data Analysis, Exploratory Data Analysis, Seaborn, SQL, Pandas (Python Package), Probability & Statistics, Regression Analysis, Machine Learning, Statistical Hypothesis Testing, Python Programming, Data Transformation, Feature Engineering, Data Integration, NumPy, Web Scraping
University of Washington
Skills you'll gain: Data Visualization, Feature Engineering, Unsupervised Learning, Scientific Visualization, Data Ethics, Data Presentation, Statistical Visualization, Big Data, Relational Databases, Supervised Learning, Database Systems, Dataflow, Data Science, Model Evaluation, Machine Learning Methods, R Programming, Data Analysis, Model Training, SQL, Python Programming
Skills you'll gain: Data Visualization, Data Presentation, Regression Analysis, Advanced Analytics, Statistical Analysis, Data Analysis, Statistical Modeling, Applied Machine Learning, Analytical Skills, Data Science, Machine Learning Methods, Artificial Intelligence, Python Programming, AI literacy, Machine Learning, Portfolio Management
Skills you'll gain: Data Storytelling, Data Ethics, Data Analysis, Data-Driven Decision-Making, Analytics, Workflow Management, Data Science, Advanced Analytics, Analytical Skills, Business Solutions, Technical Communication, Process Design, Project Management, Communication, Stakeholder Communications, Machine Learning
University of Michigan
Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning Methods, Machine Learning, Model Training, Model Optimization, Machine Learning Algorithms, Unsupervised Learning, Python Programming, Classification Algorithms, Artificial Neural Networks
University of California, Davis
Skills you'll gain: Data Governance, SQL, Data Quality, Data Management, Data Manipulation, Database Design, Data Transformation, Data Wrangling, Query Languages, Data Modeling, Database Systems, Data Literacy, Relational Databases, Data Processing, Data Analysis, Descriptive Statistics
Illinois Tech
Skills you'll gain: NoSQL, Machine Learning Algorithms, Big Data, Model Evaluation, Apache Hadoop, Recurrent Neural Networks (RNNs), Deep Learning, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Apache Spark, Statistical Methods, Data Presentation, Generative AI, Convolutional Neural Networks, Transfer Learning, Analysis, Data Infrastructure, Machine Learning
University of Michigan
Skills you'll gain: Unsupervised Learning, Embeddings, Applied Machine Learning, Data Quality, Unstructured Data, Machine Learning Methods, Anomaly Detection, Supervised Learning, Data Preprocessing, Data Transformation, Python Programming, Exploratory Data Analysis
University of Colorado Boulder
Skills you'll gain: Process Capability, Sampling (Statistics), R (Software), Correlation Analysis, Statistical Inference, Probability Distribution, Statistical Visualization, R Programming, Statistical Process Controls, Statistical Hypothesis Testing, Statistical Methods, Probability & Statistics, Data Science, Statistics, Data Analysis, Statistical Analysis, Statistical Software, Descriptive Statistics, Quality Improvement, Process Engineering
In summary, here are 10 of our most popular applied data science courses
- Data Science Methodology: IBM
- Apply Advanced Tableau Analytics to Real-World Data: EDUCBA
- Python for Data Science: Real Projects & Analytics: EDUCBA
- Applied Data Analytics: Edureka
- Data Science at Scale: University of Washington
- Google Advanced Data Analytics Capstone: Google
- Foundations of Data Science: Google
- Applied Machine Learning in Python: University of Michigan
- SQL für Data Science: University of California, Davis
- Data Analytics and Deep Learning: Illinois Tech
