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Building A Data Science Team

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350 results for "building a data science team"

Johns Hopkins University
Mastering Software Development in R
Skills you'll gain: Statistical Programming, R Programming, Data Analysis, Data Visualization, Exploratory Data Analysis, Basic Descriptive Statistics, Computer Programming, Application Development, Software Engineering, Software Engineering Tools, Plot (Graphics), Computational Thinking, Statistical Analysis, Theoretical Computer Science, Communication, Journalism, Software Testing
4.3
(1.5k reviews)
Beginner · Specialization · 3-6 Months
IBM
AI Workflow: AI in Production
Skills you'll gain: Computer Programming, Applied Machine Learning, Data Analysis, Machine Learning, Application Development, Cloud Computing, Forecasting, General Statistics, Kubernetes, Probability & Statistics, Software Engineering, Software Testing, Artificial Neural Networks, Computer Vision, Data Engineering, Data Science, Deep Learning, Dimensionality Reduction, Docker (Software), Feature Engineering, Machine Learning Algorithms, Machine Learning Software, Natural Language Processing, Python Programming
4.5
(41 reviews)
Advanced · Course · 1-4 Weeks
Johns Hopkins University
Data Science
Skills you'll gain: R Programming, Data Analysis, Statistical Programming, Data Science, General Statistics, Statistical Analysis, Probability & Statistics, Statistical Tests, Machine Learning, Exploratory Data Analysis, Basic Descriptive Statistics, Machine Learning Software, Linear Algebra, Bayesian Statistics, Correlation And Dependence, Econometrics, Estimation, Regression, Data Visualization Software, Software Visualization, Statistical Visualization, Probability Distribution, Theoretical Computer Science, Data Visualization, Interactive Data Visualization, Natural Language Processing, Plot (Graphics), Big Data, Computer Programming, Computer Programming Tools, Data Structures, Experiment, Machine Learning Algorithms, Software Engineering Tools, Spreadsheet Software, Algorithms, Application Development, Applied Machine Learning, Business Analysis, Data Management, Extract, Transform, Load, Knitr
4.5
(49.8k reviews)
Beginner · Specialization · 3-6 Months
Johns Hopkins University
Data Science: Statistics and Machine Learning
Skills you'll gain: R Programming, Statistical Programming, General Statistics, Statistical Analysis, Data Analysis, Machine Learning, Probability & Statistics, Statistical Tests, Data Science, Machine Learning Software, Basic Descriptive Statistics, Bayesian Statistics, Correlation And Dependence, Econometrics, Estimation, Linear Algebra, Regression, Exploratory Data Analysis, Theoretical Computer Science, Data Visualization, Interactive Data Visualization, Natural Language Processing, Probability Distribution, Plot (Graphics), Machine Learning Algorithms, Algorithms, Applied Machine Learning, Business Analysis
4.4
(7k reviews)
Intermediate · Specialization · 3-6 Months
Johns Hopkins University
Executive Data Science
Skills you'll gain: Data Analysis, Probability & Statistics, Exploratory Data Analysis, Entrepreneurship, Leadership and Management, Data Science, Business Analysis, Statistical Analysis, Research and Design, Statistical Tests, Decision Making, Business Research, Experiment, Human Resources, Market Research, Talent Management, Basic Descriptive Statistics, Data Visualization, Estimation, General Statistics, Organizational Development, People Management, Plot (Graphics), Statistical Visualization, Strategy and Operations, Business Communication, Collaboration, Communication, Computer Programming, Computer Programming Tools, Correlation And Dependence, Data Analysis Software, Data Mining, Machine Learning, Recruitment, Software Engineering, Software Framework, Strategy, Survey Creation, Application Development, Econometrics, Forecasting, Software Engineering Tools, Writing
4.5
(10.7k reviews)
Beginner · Specialization · 1-3 Months
Duke University
Introduction to Probability and Data with R
Skills you'll gain: General Statistics, Probability & Statistics, Probability Distribution, Statistical Tests, Data Analysis, Statistical Analysis, Correlation And Dependence, Experiment, R Programming, Basic Descriptive Statistics, Bayesian Statistics, Data Mining, Plot (Graphics), Statistical Visualization, Data Analysis Software, Data Visualization, Exploratory Data Analysis, Statistical Programming
4.7
(5.4k reviews)
Beginner · Course · 1-3 Months
IBM Skills Network
Fundamentals of Scalable Data Science
Skills you'll gain: Apache, Data Management, Statistical Programming, Python Programming, Cloud Computing, Basic Descriptive Statistics, General Statistics, IBM Cloud, Probability & Statistics, Data Analysis, Data Visualization, SQL, Statistical Visualization, Cloud Platforms, Cloud Storage, Correlation And Dependence, Data Structures, Data Warehousing, Database Application, Dimensionality Reduction, Linear Algebra, Machine Learning, Mathematics, NoSQL, Plot (Graphics), R Programming, Big Data, Computer Architecture, Computer Programming, Data Analysis Software, Data Mining, Distributed Computing Architecture, Exploratory Data Analysis, Programming Principles, Statistical Analysis
4.3
(2k reviews)
Beginner · Course · 1-4 Weeks

In summary, here are 10 of our most popular building a data science team courses

Building a Data Science Team: Johns Hopkins University
Mastering Software Development in R: Johns Hopkins University
BigQuery Soccer Data Ingestion: Google Cloud
AI Workflow: AI in Production: IBM
Data Science: Johns Hopkins University
Data Science: Statistics and Machine Learning: Johns Hopkins University
Executive Data Science: Johns Hopkins University
Introduction to Probability and Data with R: Duke University
Modernizing Data Lakes and Data Warehouses with Google Cloud: Google Cloud
Fundamentals of Scalable Data Science: IBM Skills Network

Filter by

350 results for "building a data science team"

Building a Data Science Team

Mastering Software Development in R

BigQuery Soccer Data Ingestion

AI Workflow: AI in Production

Data Science

Data Science: Statistics and Machine Learning

Executive Data Science

Introduction to Probability and Data with R

Modernizing Data Lakes and Data Warehouses with Google Cloud

Fundamentals of Scalable Data Science

Making Data Science Work for Clinical Reporting

Building Autonomous AI

In summary, here are 10 of our most popular building a data science team courses

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In summary, here are 10 of our most popular building a data science team courses

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