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
Status: NewStatus: PreviewSkills you'll gain: Salesforce, Data Mapping, Advanced Analytics, Data Integration
Status: Free TrialRice University
Skills you'll gain: Statistics, Descriptive Statistics, Probability & Statistics, Probability Distribution, Business Analytics, Microsoft Excel, Data Analysis, Statistical Analysis, Box Plots, Sampling (Statistics), Correlation Analysis
Status: PreviewSkills you'll gain: Information Privacy, Data Governance, Law, Regulation, and Compliance, Personally Identifiable Information, General Data Protection Regulation (GDPR), Data Security, Data Management, Data Architecture, Data Strategy, Data Ethics, Metadata Management, Encryption
Skills you'll gain: Pandas (Python Package), Data Visualization, Data Manipulation, Data Cleansing, Matplotlib, Text Mining, Exploratory Data Analysis, Data Analysis, Data Preprocessing, Python Programming
Status: Free TrialUniversity of Colorado System
Skills you'll gain: Computational Thinking, Data Collection, Microsoft Visual Studio, Program Development, C (Programming Language), Programming Principles, Algorithms, Data Storage, Computer Programming
Status: NewStatus: Free TrialSkills you'll gain: Data Processing, Data-Driven Decision-Making, NumPy
Status: NewStatus: Free TrialSkills you'll gain: AWS Kinesis, Data Engineering, Amazon Redshift, Apache Kafka, Cloud Computing Architecture, Data Lakes, Real Time Data, Amazon Elastic Compute Cloud, Data Management, Apache Hive, Data Visualization Software, Cloud Storage, Amazon S3, Data Integration, Data Architecture, Data Migration, Performance Tuning, Serverless Computing, Database Architecture and Administration, AWS Identity and Access Management (IAM)
Skills you'll gain: Prompt Engineering, OpenAI API, Generative AI, Data Visualization, Data Visualization Software, ChatGPT, Matplotlib, Seaborn, Data Analysis, Pandas (Python Package), Python Programming, Data Manipulation, Natural Language Processing
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 Governance, Database Management, Database Systems, Databases, NoSQL, SQL, MongoDB, Relational Databases, Big Data, Graph Theory, Data Storage, Apache Hadoop, Data Manipulation
Status: Free TrialUniversity of Virginia
Skills you'll gain: Model View Controller, Integrated Development Environments, Data Modeling, Database Design, Software Development Tools, NoSQL, Database Architecture and Administration, Application Programming Interface (API), OpenAI, ChatGPT, Version Control, Infrastructure Architecture, Artificial Intelligence, API Design
Skills you'll gain: Pandas (Python Package), Data Manipulation, Data Analysis, NumPy, Python Programming
In summary, here are 10 of our most popular applied data science courses
- Ace the Salesforce Certified Tableau Data Analyst Exam: Packt
- Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions: Rice University
- IBM Data Privacy for Information Architecture: IBM
- Mastering Data Analysis with Pandas: Learning Path Part 5: Coursera
- Algorithms, Data Collection, and Starting to Code: University of Colorado System
- Seaborn Setup: Tools, Data Prep & EDA for Visualization: EDUCBA
- Data Engineering on AWS - The Complete Training: Packt
- Data Visualization with OpenAI API: Generate code with GenAI: Coursera
- Calculus through Data & Modeling: Limits & Derivatives: Johns Hopkins University
- Data Management for Analytics Part 2: Northeastern University
