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
Skills you'll gain: Data Integration, Data Import/Export, NumPy, Data Wrangling, Data Manipulation, Data Preprocessing, Pandas (Python Package), Data Pipelines, Data Transformation, Data Processing
University of California, Irvine
Skills you'll gain: Decision Support Systems, Database Design, Relational Databases, Database Management, SQL, Descriptive Statistics, Statistics, Statistical Analysis, Business Intelligence, Microsoft Excel, Extract, Transform, Load, Business Analytics, Data Manipulation, Data Science, Conceptual Design
Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Hypothesis Testing, Statistical Inference, Statistical Methods, Statistics, Estimation, Statistical Analysis, Probability & Statistics, Data Analysis, Analysis, Correlation Analysis
University of Minnesota
Skills you'll gain: Social Determinants Of Health, Health Equity, Health Disparities, Health Systems, Community Health, Public Health, Health Informatics, Healthcare Ethics, Health Policy, Maternal Health, Statistical Analysis, Systems Thinking, Statistical Software, Data Analysis, Community Development, Box Plots, Data Ethics, Substance Abuse, Scatter Plots, Climate Change Programs
Skills you'll gain: Pandas (Python Package), Matplotlib, NumPy, Statistical Visualization, Machine Learning Algorithms, Applied Machine Learning, Data Manipulation, Pivot Tables And Charts, Model Optimization, Machine Learning Methods, Linear Algebra, Natural Language Processing, Deep Learning, Programming Principles, Machine Learning, Python Programming, Data Science, Numerical Analysis, Computer Programming, Artificial Neural Networks
Skills you'll gain: MySQL, SQL, MySQL Workbench, Query Languages, Descriptive Statistics, Data Analysis
Skills you'll gain: Plot (Graphics), Pandas (Python Package), Data Visualization, Data Manipulation, Statistical Visualization, Data Processing, Data Import/Export, Regression Analysis
Skills you'll gain: Prompt Engineering, OpenAI API, Generative AI, Data Visualization, Data Visualization Software, OpenAI, ChatGPT, Data Literacy, Plot (Graphics), Data Analysis, Python Programming, Data Manipulation, Natural Language Processing
Skills you'll gain: Model Optimization, Calculus, Machine Learning Methods, NumPy, Machine Learning Algorithms, Applied Machine Learning, Tensorflow, Python Programming, Derivatives, Development Environment
Johns Hopkins University
Skills you'll gain: Calculus, Integral Calculus, Advanced Mathematics, Mathematical Theory & Analysis, Applied Mathematics, Numerical Analysis, Mathematical Modeling, Mathematical Software, Derivatives
Skills you'll gain: Graph Theory, Data Structures, Algorithms, Computational Thinking, Theoretical Computer Science, Computer Science, Computer Programming, Python Programming
Skills you'll gain: Classification Algorithms, File I/O
In summary, here are 10 of our most popular data analytics courses
- From Raw to Ready: Data Preparation in Python:Â Coursera
- The Nature of Data and Relational Database Design:Â University of California, Irvine
- Data Science Fundamentals Part 2: Unit 2:Â Pearson
- Social Determinants of Health: Data to Action:Â University of Minnesota
- Foundations of Data Science and Machine Learning with Python:Â Packt
- Aggregate Data in SQL using MySQL Workbench:Â Coursera
- Python for Data Visualization - A Beginner's Guide:Â Packt
- Data Visualization with OpenAI API: Generate code with GenAI:Â Coursera
- Matrix Calculus for Data Science & Machine Learning:Â Packt
- Calculus through Data & Modelling: Series and Integration:Â Johns Hopkins University
