Filter by
SubjectRequired
LanguageRequired
The language used throughout the course, in both instruction and assessments.
Learning ProductRequired
LevelRequired
DurationRequired
SkillsRequired
SubtitlesRequired
EducatorRequired
Explore the Statistics for Data Science Course Catalog
Johns Hopkins University
Skills you'll gain: Unix Commands, Bioinformatics, Unix, Data Management, Command-Line Interface, Molecular Biology, Linux Commands, Big Data, File Management, Data Analysis Software, Data Processing
Status: AI skillsSkills you'll gain: NoSQL, Data Warehousing, SQL, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, IBM Cognos Analytics, MySQL, Apache Spark, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Data Store, Jupyter, Generative AI, Professional Networking
Johns Hopkins University
Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Molecular Biology, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Data Analysis Software, Statistical Modeling, Data Structures, Data Analysis, R Programming, Computational Thinking, Jupyter
University of California, Davis
Skills you'll gain: Data Governance, Presentations, Data Cleansing, Feature Engineering, SQL, Apache Spark, A/B Testing, Distributed Computing, Descriptive Statistics, Data Lakes, Data Quality, Data Storytelling, Data Analysis, Peer Review, Exploratory Data Analysis, Data Manipulation, Data Pipelines, Databricks, Database Design, Query Languages
Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Inference, Data Processing, Data Access, Anomaly Detection, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Machine Learning, Probability & Statistics, Data Transformation, Workflow Management, Scalability
Skills you'll gain: Rmarkdown, Ggplot2, R Programming, Data Analysis, Tidyverse (R Package), Statistical Programming, Data Visualization Software, Data Cleansing, Data Manipulation, Exploratory Data Analysis, Data Import/Export, Package and Software Management, Data Structures
Skills you'll gain: Excel Formulas, Microsoft Excel, Spreadsheet Software, Power BI, Data Analysis, Productivity Software, Data Cleansing, Data Manipulation, Data Management
Skills you'll gain: Data Ethics, Data Analysis, Data Literacy, Data Security, Google Sheets, Data Cleansing, Databases, Data Access, Data Quality, Data Management, Data Collection, Relational Databases, SQL, Metadata Management, Unstructured Data
Google
Skills you'll gain: Object Oriented Programming (OOP), Data Analysis, Data Structures, Jupyter, Python Programming, NumPy, Pandas (Python Package), Programming Principles, Scripting, Data Manipulation, Algorithms
Status: FreeYale University
Skills you'll gain: Personal Development, Positive Behavior Support, Goal Setting, Resilience, Self-Awareness, Behavioral Economics, Adaptability, Mental Health, Productivity, Psychology, Social Skills, Mindfulness
Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Data Storytelling, OpenAI, Analytics, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Dashboard, Large Language Modeling, Data Ethics, Artificial Intelligence, Program Development, Data Visualization Software, SQL, Python Programming, Query Languages, Image Analysis, Content Creation, Virtual Environment
Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Validation, Sample Size Determination, Data Analysis, Data Manipulation, SQL, Data Transformation, Spreadsheet Software
Statistics For Data Science learners also search
In summary, here are 10 of our most popular statistics for data science courses
- Command Line Tools for Genomic Data Science: Johns Hopkins University
- IBM Data Engineering: IBM
- Genomic Data Science: Johns Hopkins University
- Learn SQL Basics for Data Science: University of California, Davis
- Exploratory Data Analysis for Machine Learning: IBM
- Data Analysis with R Programming: Google
- Preparing Data for Analysis with Microsoft Excel: Microsoft
- Prepare Data for Exploration: Google
- Get Started with Python: Google
- The Science of Well-Being: Yale University
