Statistics For Data Science Courses
Statistics for Data Science courses can help you learn data visualization, hypothesis testing, regression analysis, and probability theory. You can build skills in interpreting data trends, making predictions, and conducting A/B testing. Many courses introduce tools like R, Python, and SQL, that support analyzing datasets and implementing statistical models. By engaging with these tools, you can effectively apply statistical methods to real-world data challenges, enhancing your ability to draw meaningful insights.
Popular Statistics For Data Science Courses and Certifications
Skills you'll gain: Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Dashboard, Data Architecture, Data Governance, Apache Kafka, Cloud Deployment, Apache Hadoop, Metadata Management, Data Storage, Application Programming Interface (API), Apache Hive, Data Quality, Data Cleansing, Applied Machine Learning, Cloud Services
University of Colorado Boulder
Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Scatter Plots, Microsoft Excel, Probability & Statistics, Statistics, Data Import/Export, Data Analysis
Skills you'll gain: MySQL, Database Management, Database Administration, Data Warehousing, Linux Commands, Data Integrity, Unit Testing, Algorithms, Software Versioning, Command-Line Interface, Software Visualization, Linux, Pseudocode, Query Languages, Collaborative Software, Django (Web Framework), Database Architecture and Administration, Programming Principles, Computational Thinking, Test Driven Development (TDD)
Johns Hopkins University
Skills you'll gain: Biostatistics, Statistical Hypothesis Testing, Logistic Regression, Regression Analysis, Sampling (Statistics), Statistical Methods, Statistical Visualization, Statistical Analysis, Epidemiology, Quantitative Research, Descriptive Statistics, Probability & Statistics, Statistical Inference, Probability Distribution, Public Health, Scientific Methods, Statistics, Statistical Modeling, Advanced Analytics, Predictive Modeling
DeepLearning.AI
Skills you'll gain: Probability & Statistics, Statistical Analysis, Statistics, Statistical Hypothesis Testing, Statistical Visualization, Descriptive Statistics, Data Analysis, Histogram, Probability Distribution, Correlation Analysis, Statistical Inference, Estimation, Simulation and Simulation Software, Sampling (Statistics), LLM Application, Spreadsheet Software
Peking University
Skills you'll gain: Language Learning, Language Competency, Vocabulary, Oral Comprehension, Grammar, Communication
University of Illinois Urbana-Champaign
Skills you'll gain: Environmental Policy, Sustainable Development, Environment, Water Resources, Demography, Energy and Utilities, Environmental Science, Environmental Resource Management, Sustainability Standards, Sustainable Engineering, Water Resource Management, Social Sciences, Climate Change Adaptation, Economics
Macquarie University
Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Statistics, Descriptive Statistics, Probability & Statistics, Microsoft Excel, Data Analysis, Statistical Inference, Spreadsheet Software, Data-Driven Decision-Making, Box Plots, Probability Distribution, Histogram, Data Visualization Software, Variance Analysis
Macquarie University
Skills you'll gain: Excel Formulas, Microsoft Excel, Excel Macros, Data Validation, Spreadsheet Software, Data Modeling, Financial Forecasting, Data Integrity, Business Modeling, Automation
Google Cloud
Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Prompt Engineering, Kubernetes, Containerization, Cloud Storage, Cloud Services, Identity and Access Management, Application Deployment, Virtual Machines, Virtual Networking, Cloud Computing, Application Development, Generative AI Agents, Data Storage Technologies, Cloud Computing Architecture, Network Infrastructure, Serverless Computing, Scalability
Skills you'll gain: Data Storytelling, Data Presentation, Business Metrics, Key Performance Indicators (KPIs), Data Cleansing, Data Modeling, Analytics, Data Analysis, Data Visualization, Data Validation, Exploratory Data Analysis, Data Quality, Business Analysis, Data Manipulation, Generative AI, Data Collection, Data Management, Marketing
University of London
Skills you'll gain: Data Literacy, Unsupervised Learning, Data Science, Applied Machine Learning, Data Analysis, Machine Learning, Big Data
In summary, here are 10 of our most popular statistics for data science courses
- Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
- Statistics and Applied Data Analysis: University of Colorado Boulder
- Meta Database Engineer: Meta
- Biostatistics in Public Health: Johns Hopkins University
- Applied Statistics for Data Analytics: DeepLearning.AI
- Chinese for Beginners: Peking University
- Introduction to Sustainability: University of Illinois Urbana-Champaign
- Statistics and Data Analysis with Excel: Essentials: Macquarie University
- Excel Skills for Business: Intermediate II: Macquarie University
- Google Cloud Fundamentals: Core Infrastructure: Google Cloud
