Search result for Statistics and data science Online Courses & Certifications
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Natural Language Processing and Capstone Assignment
by Dursun Delen , Julie Pai- 0.0
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Approx. 5 hours to complete
Welcome to Natural Language Processing and Capstone Assignment. The Past, Present, and Future of Data Science I The Past, Present, and Future of Data Science I The Past, Present, and Future of Data Science II The Past, Present, and Future of Data Science II Future trends and possibilities in data science...
Data Science Methodology
by Alex Aklson , Polong Lin- 4.6
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Approx. 8 hours to complete
This course has one purpose, and that is to share a methodology that can be used within data science, to ensure that the data used in problem solving is relevant and properly manipulated to address the question at hand. - The major steps involved in tackling a data science problem. Data Requirements...
Agile Analytics
by Alex Cowan- 4.8
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Approx. 15 hours to complete
Analytics and Data Science Facilitating Collaboration with Your Data Science Team Interview: Drew Conway on Data Science Interview: Drew Conway’s Data Science Journey Interview: Casey Lichtendahl: Data Science and You Data Science IRL: Intro to the Casino Jack Case Data Science IRL: Data Wrangling and Exploratory Analysis Data Science IRL: Testing Hypotheses and Designing Interventions Analytics and Data Science...
SQL for Data Science Capstone Project
by Don Noxon- 3.9
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Approx. 35 hours to complete
Data science is a dynamic and growing career field that demands knowledge and skills-based in SQL to be successful. This course is designed to provide you with a solid foundation in applying SQL skills to analyze data and solve real business problems. You will explore your data and perform some initial statistics you have learned through this specialization....
Intro to Data Science
by Dave Holtz , Cheng-Han Lee- 0.0
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Approx. 2 months
You will have an opportunity to work through a data science project end to end, from analyzing a dataset to visualizing and communicating your data analysis. Through working on the class project, you will be exposed to and understand the skills that are needed to become a data scientist yourself. lesson 5 MapReduce Introduction to Big Data and MapReduce....
Free
Statistics
by Sean Laraway , Ronald Rogers , Katie Kormanik- 0.0
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Approx. 4 months
You'll learn how to use statistics to interpret that information and make decisions....
Free
Statistics for Genomic Data Science
by Jeff Leek, PhD- 4.2
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Approx. 9 hours to complete
An introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization from Johns Hopkins University. Welcome to Statistics for Genomic Data Science Experimental Design: Variability, Replication, and Power (14:17) Experimental Design: Confounding and Randomization (9:26) Statistics for Genomic Data Science Wrap-Up (1:53)...
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Six Sigma Tools for Define and Measure
by Christina Scherrer, PhD , David Cook, PhD , Gregory Wiles, PhD , Bill Bailey, PhD- 4.6
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Approx. 8 hours to complete
Six Sigma skills are widely sought by employers both nationally and internationally. You will learn about Six Sigma project development and implementation, you will become familiar with project management tools, you will be introduced to statistics and understand its significance to Six Sigma, and finally you will learn about data collection and its importance to an organization....
Spatial Data Science and Applications
by Joon Heo- 4.4
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Approx. 12 hours to complete
Based on such business trend, this course is designed to present a firm understanding of spatial data science to the learners, who would have a basic knowledge of data science and data analysis, and eventually to make their expertise differentiated from other nominal data scientists and data analysts. Four Disciplines for Spatial Data Science and Applications...
Meaningful Marketing Insights
by David Schweidel- 4.2
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Approx. 10 hours to complete
Surveys, transaction histories and billing records can all provide insight into consumers’ future behavior, provided that they are interpreted correctly. , sales) and on individual-level choice data (e. Exploring your Data with Visualization and Descriptive Statistics, Part 1 Exploring your Data with Visualization and Descriptive Statistics, Part 2 Common Descriptive Statistics for Quantitative Data...
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