Showing posts with the label sas course on analytics

Featured Post

SQL Query: 3 Methods for Calculating Cumulative SUM

SQL provides various constructs for calculating cumulative sums, offering flexibility and efficiency in data analysis. In this article, we explore three distinct SQL queries that facilitate the computation of cumulative sums. Each query leverages different SQL constructs to achieve the desired outcome, catering to diverse analytical needs and preferences. Using Window Functions (e.g., PostgreSQL, SQL Server, Oracle) SELECT id, value, SUM(value) OVER (ORDER BY id) AS cumulative_sum  FROM your_table; This query uses the SUM() window function with the OVER clause to calculate the cumulative sum of the value column ordered by the id column. Using Subqueries (e.g., MySQL, SQLite): SELECT, t1.value, SUM(t2.value) AS cumulative_sum FROM your_table t1 JOIN your_table t2 ON >= GROUP BY, t1.value ORDER BY; This query uses a self-join to calculate the cumulative sum. It joins the table with itself, matching rows where the id in the first table is greater than or

Data analytics popular free video course on SAS

The Introduction to Analytics course is a set of 12 videos that take you through the basics of data analytics and the language of SAS.You should do this course if you are interested in data analytics and would like to pursue it as a career or if you have heard about the buzz it is creating and just want to know what it is all about. Each video is 5 to 30 minutes in length. If done in one go, it should take you about two hours to cover the course. The course is divided into three sections. The first section 'Introduction to Analytics' is a set of 6 videos. Here is a snapshot of the 6 videos: 1. What is analytics? This module explains the basis of analytics. 2. Why is analytics popular? This module talks about why analytics has become a big buzzword in business circles and the advantages of analytics. 3. Analytics applications? Here you will be introduced to the various analytics applications popularly used today. 4. Analytics technology Link to free course L