Coursera

4.25

C​alcualte safety stock using SARIMA predictions combined with manipulaitng lead times.

4.43

Whether being used to customize advertising to millions of website visitors or streamline inventory ordering at a small restaurant, data is becoming more integral to success. Too often, we’re not sure how use data to...

4.14

Explain the three basic methods of Econometrics. Apply different econometrics models to examples of daily life. Interpret and carry out several basic analysis strategies (correlation, regression and distribution. Ask relevant questions that can...

4.72

Learn how advances in geospatial technology and analytical methods have changed how we do everything, and discover how to make maps and analyze geographic patterns using the latest tools. The past decade has seen an...

4.53

Create a useful data product for the publicApply your exploratory data analysis skillsBuild an efficient and accurate prediction modelProduce a presentation deck to showcase your findings

4.35

How to design Data Science workflows without any programming involvedEssential Data Science skills to design, build, test and evaluate predictive modelsData Manipulation, preparation and cclassification and clustering methodsWays to apply Data Scienc...

4.54

In this course, you will develop and test hypotheses about your data. You will learn a variety of statistical tests, as well as strategies to know how to apply the appropriate one to your specific...

4.54

This course introduces students to data and statistics. By the end of the course, students should be able to interpret descriptive statistics, causal analyses and visualizations to draw meaningful insights. The course first introduces a...

5

Demonstrate the importance of and techniques for presenting data and the “data story”Understand data distributions and the importance and use of statistical measuresUse statistical sampling and hypothesis testing to gain insight into population param...

4.3

Welcome to the specialization course of NoSQL Systems. This course will be completed on six weeks, it will be supported with videos and exercises that will allow you to identify the differences between the relational...

4.24

Are you interested in predicting future outcomes using your data? This course helps you do just that! Machine learning is the process of developing, testing, and applying predictive algorithms to achieve this goal. Make sure...

4.87

Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today....

4.39

This course focuses on one of the most important tools in your data analysis arsenal: regression analysis. Using either SAS or Python, you will begin with linear regression and then learn how to adapt when...

The course is devoted to the systematization of the mathematical background of the students necessary for the successful mastering of educational disciplines in the field of computer vision. The course includes sections of mathematical analysis,...

4.58

Note: You should complete all the other courses in this Specialization before beginning this course. This six-week long Project course of the Data Mining Specialization will allow you to apply the learned algorithms and techniques...

4.86

In this course you have the opportunity to use the skills you acquired in the two SAS programming courses to solve realistic problems. This course is also designed to give you a thorough review of...

4.48

Welcome to the specialization course of Designing data-intensive applications. This course will be completed on four weeks, it will be supported with videos and exercises. By the end of this specialization, learners will be able...

3.5

You will be able to use some machine learning and neural network techniques, in order to build more sophisticated recommender systems. You will learn how to combine different basic approaches into a hybrid recommender system,...

4.69

In this final course you will complete a Capstone Project using data analysis to recommend a method for improving profits for your company, Watershed Property Management, Inc. Watershed is responsible for managing thousands of residential...

5

This course is designed for business professionals that want to learn how to determine if a business issue is appropriate for a data science project and apply the data science process. The typical student in...