Data Analytics Courses
Data analytics courses can help you learn data visualization, statistical analysis, and data cleaning techniques. You can build skills in interpreting complex datasets, making data-driven decisions, and communicating insights effectively. Many courses introduce tools like Excel, SQL, and Tableau, that support analyzing data and presenting findings. You'll also explore methods such as regression analysis and A/B testing, which are crucial for evaluating performance and optimizing strategies.
Popular Data Analytics Courses and Certifications
Status: Free TrialVanderbilt University
Skills you'll gain: Image Analysis, Data Visualization Software, Machine Learning Methods, Matlab, Applied Machine Learning, Scatter Plots, Dimensionality Reduction, Classification And Regression Tree (CART), Data Analysis, Histogram, Data Processing, Computer Vision, Regression Analysis, Digital Communications
Status: NewStatus: Free TrialSkills you'll gain: MongoDB, Data Transformation, Customer Analysis, Data Analysis, Back-End Web Development, Customer Data Management, Data Processing, NoSQL, Data Maintenance, Pandas (Python Package), Data Validation, Financial Data, Data Import/Export, Database Management, Data Cleansing, Databases, Data Pipelines, Database Design, Data Access, Query Languages
Status: Free TrialUniversity of California San Diego
Skills you'll gain: Bioinformatics, Molecular Biology, Network Analysis, Biotechnology, Life Sciences, Infectious Diseases, Structural Analysis
Skills you'll gain: Presentations, Sales Presentations, Data Visualization, Productivity Software, Design
Status: Free TrialSkills you'll gain: Disaster Recovery, Remote Access Systems, File Systems, Data Access, Data Storage, File Management, Network Planning And Design, Distributed Computing, Network Protocols, System Configuration, System Implementation, Configuration Management, Open Source Technology
Skills you'll gain: Pandas (Python Package), Data Analysis, Data Manipulation, Data Wrangling, NumPy, Python Programming
Status: Free TrialSkills you'll gain: Data Structures, Java, Theoretical Computer Science, Programming Principles, Algorithms, Object-Relational Mapping
Status: NewStatus: Free TrialSkills you'll gain: Role-Based Access Control (RBAC), Continuous Deployment, Capacity Management, Software Versioning, API Gateway, Scalability, Large Language Modeling
Status: Free TrialJohns Hopkins University
Skills you'll gain: Integral Calculus, Calculus, Geometry, Applied Mathematics, Mechanics, Engineering Calculations, Mathematical Modeling, Physics
Status: FreeSkills you'll gain: Web Scraping, Data Visualization, Data Presentation, Data Cleansing, Exploratory Data Analysis, Scripting, Data Analysis, Data Manipulation, Data Import/Export, Data Capture, Data Transformation, Python Programming, Jupyter
Status: Free TrialSkills you'll gain: Patch Management, Data Security, Cloud Security, Amazon Web Services, Data Governance, AWS Identity and Access Management (IAM), Cyber Governance, Cloud Management, Key Management, Amazon S3, Amazon CloudWatch, Data Encryption Standard, AWS CloudFormation, Infrastructure as Code (IaC), Public Key Infrastructure, Configuration Management
Status: Free TrialJohns Hopkins University
Skills you'll gain: Calculus, Applied Mathematics, Trigonometry, Mathematical Modeling, Algebra, Derivatives, Geometry
In summary, here are 10 of our most popular data analytics courses
- Introduction to Data, Signal, and Image Analysis with MATLAB: Vanderbilt University
- Python NoSQL Data Engineering with MongoDB: EDUCBA
- Bioinformatics Capstone: Big Data in Biology: University of California San Diego
- Presenting Data Using Charts with Canva: Coursera
- IBM Storage Scale Remote Data Access: IBM
- Mastering Data Analysis with Pandas: Learning Path Part 2: Coursera
- Java: Linear Data Structures and Trees: Codio
- Persistent Data, Monitoring & Cost Optimization in AKS: Packt
- Calculus through Data & Modelling: Integration Applications: Johns Hopkins University
- Scrape and analyze data analyst job requirements with Python: Coursera
