Coursera

4.83

Confidence intervals and Hypothesis tests are very important tools in the Business Statistics toolbox. A mastery over these topics will help enhance your business decision making and allow you to understand and measure the extent...

4.77

In this course the learner will be shown how to generate forecasts of game results in professional sports using Python. The main emphasis of the course is on teaching the method of logistic regression as...

4.72

In this course, you will learn how to harness the power of Apache Spark and powerful clusters running on the Azure Databricks platform to run large data engineering workloads in the cloud. You will discover...

4.51

The concept of various machine learning algorithms. How to apply machine learning models on datasets with Python in Jupyter Notebook. How to evaluate machine learning models. How to optimize machine learning models.

4.16

This capstone is the last course in the Data Analytics in Accountancy Specialization. In this capstone course, you are going to take the knowledge and skills you have acquired from the previous courses and apply...

3.6

You will refresh and test your knowledge of the skills​ mapped to all the main topics covered in the DP-203 exam.

4.87

Sports analytics now include massive datasets from athletes and teams that quantify both training and competition efforts. Wearable technology devices are being worn by athletes everyday and provide considerable opportunities for an in-depth look a...

4.35

Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples.

4.37

TensorFlow is a library for is an open-source software library for high-performance numerical computation that's great for writing models that can train and run on platforms ranging from your laptop to a fleet of servers...

4.44

Use regression analysis, least squares and inferenceUnderstand ANOVA and ANCOVA model casesInvestigate analysis of residuals and variabilityDescribe novel uses of regression models such as scatterplot smoothing

4.42

At the end of the course, you will be able to: *Retrieve data from example database and big data management systems *Describe the connections between data management operations and the big data processing patterns needed...

4.45

This is the fourth course in the Data Warehouse for Business Intelligence specialization. Ideally, the courses should be taken in sequence. In this course, you will gain the knowledge and skills for using data warehouses...

4.25

You will learn how to use Azure Data Lake Storage to make processing Big Data analytical solutions more efficient.

5

You will learn how to perform operational analytics against Azure Cosmos DB using the Azure Synapse Link feature within Azure Synapse Analytics.

4.87

In this course, you learn advanced techniques within the DATA step and procedures to manipulate data. “By the end of this course, a learner will be able to…” ● Use additional functions (LAG, FINDC/FINDW, and...

4.7

Use different tools to browse existing databases and tables in big data systemsUse different tools to explore files in distributed big data filesystems and cloud storageCreate and manage big data databases and tables using Apache...

3.6

Welcome to the second course in the Data Analytics for Business specialization! This course will introduce you to some of the most widely used predictive modeling techniques and their core principles. By taking this course,...

4.64

This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.

Perform monitoring, troubleshooting, testing and CI/CD on Dataflow pipelines. Deploy Dataflow pipelines with reliability in mind to maximize stability for your data processing platform

4.65

How to create advanced data items (like calculated items and aggregated measures) in SAS Visual Analytics. How to create advanced static and interactive filters and advanced ranks in SAS Visual Analytics. How to create and...