Filter by
SubjectRequired
LanguageRequired
The language used throughout the course, in both instruction and assessments.
Learning ProductRequired
LevelRequired
DurationRequired
SkillsRequired
SubtitlesRequired
EducatorRequired
Results for "building a data science team"
- Status: New
Skills you'll gain: Docker (Software), CI/CD, Application Performance Management, Google App Engine
- Status: Free Trial
Skills you'll gain: Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Exploratory Data Analysis, Programming Principles, Jupyter, Integrated Development Environments
- Status: NewStatus: Free Trial
University of Michigan
Skills you'll gain: Debugging, Data Analysis, Critical Thinking
- Status: Free Trial
Johns Hopkins University
Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Wrangling, Data Visualization, Plot (Graphics), Statistical Programming, Ggplot2, Git (Version Control System), Dimensionality Reduction, Data Visualization Software, Knitr, Data Sharing, GitHub, Machine Learning
- Status: Free Trial
Skills you'll gain: Relational Databases, Database Design, SQL, Database Management, Databases, Query Languages, Data Analysis, Exploratory Data Analysis, Data Science, R Programming, Data Manipulation, Data Modeling, Data Access
- Status: Free Trial
University of Washington
Skills you'll gain: Feature Engineering, Unsupervised Learning, Data Ethics, Statistical Visualization, Data Storytelling, Big Data, Relational Databases, Supervised Learning, Database Systems, Dataflow, Data Visualization Software, Data Science, Statistical Machine Learning, Predictive Analytics, R Programming, Data Analysis, SQL, Predictive Modeling, Data Processing, Python Programming
- Status: Free Trial
Skills you'll gain: Exploratory Data Analysis, AWS SageMaker, Data Presentation, Data Visualization, Amazon Web Services, Project Documentation, Amazon S3, Feature Engineering, Applied Machine Learning, Data Processing, Data Science, Solution Design, Business Intelligence, Business Solutions, Technical Documentation, Data Pipelines, Technical Communication, Cloud Infrastructure, Project Management, Automation
- Status: Free Trial
Duke University
Skills you'll gain: Data-Driven Decision-Making, Strategic Decision-Making, Business Analytics, Business Intelligence, Analytics, Business Transformation, Data Literacy, Forecasting, Data Science, Operational Analysis, Data Analysis, Market Intelligence, Artificial Intelligence
- Status: Free Trial
Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Scikit Learn (Machine Learning Library), Data Processing, Deep Learning, Data Transformation, Machine Learning, Distributed Computing, Exploratory Data Analysis
- Status: Preview
Duke University
Skills you'll gain: Probability, Bayesian Statistics, General Mathematics, Calculus, Graphing, Data Science, Data Analysis, Plot (Graphics), Algebra, Geometry, Arithmetic, Derivatives
- Status: Free Trial
Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Exploratory Data Analysis, Data Ethics, OpenAI, Feature Engineering, Predictive Modeling, Large Language Modeling, Artificial Intelligence, Data Storytelling, Artificial Intelligence and Machine Learning (AI/ML), Data Modeling, Data Presentation, Predictive Analytics, Data Science, Data Synthesis, Data Analysis, IBM Cloud, Machine Learning
- Status: Preview
Maven Analytics
Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Data Analysis Expressions (DAX), Power BI, Deep Learning, Excel Formulas, Analytics, Google Sheets, Machine Learning Methods, Large Language Modeling, Microsoft Excel, Artificial Intelligence, Data Analysis, Python Programming, SQL, Business Intelligence, Data Science, Debugging
In summary, here are 10 of our most popular building a data science team courses
- Data Science Model Deployments and Cloud Computing on GCP: Packt
- Introduction to R Programming for Data Science: IBM
- NumPy and Pandas Basics for Future Data Scientists: University of Michigan
- Data Science: Foundations using R: Johns Hopkins University
- SQL for Data Science with R: IBM
- Data Science at Scale: University of Washington
- Building a Real-World Data Science Solution : Coursera
- Data Science for Agile Decision-Making: Duke University
- Perform data science with Azure Databricks: Microsoft
- Data Science Math Skills: Duke University