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Madhurya started taking the course Data Engineering: Level 0 2 years, 3 months ago
Course
Data Engineering: Level 0
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Madhurya joined the group Data Engineering for Induction 2 years, 3 months ago
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Madhurya earned the forum badge achievement: Scored 100% on a quiz 2 years, 3 months ago
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Madhurya completed the lesson Session 5: Window Functions in SQL 2 years, 3 months ago
Lesson
Session 5: Window Functions in SQL
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Madhurya earned the forum badge achievement: Scored 100% on a quiz 2 years, 3 months ago
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Madhurya earned the forum badge achievement: Scored 100% on a quiz 2 years, 3 months ago
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Madhurya earned the forum badge achievement: Scored 100% on a quiz 2 years, 3 months ago
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Madhurya completed the lesson Session 1: Introduction to Data & DBMS 2 years, 3 months ago
Lesson
Session 1: Introduction to Data & DBMS
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Madhurya started taking the course Excel: Level 0 2 years, 4 months ago
Course
Excel: Level 0
This course will enable learners to understand basic concepts of Excel. Learners will gain knowledge and skills to create and edit worksheets, use formulas and functions, sort and filter data, and present information in a consumable and professional format.
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Madhurya joined the group Excel: Level 0 2 years, 4 months ago
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Madhurya completed the lesson Questions from participants 2 years, 5 months ago
Lesson
Questions from participants
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Madhurya started taking the course Agile Leadership Lab 2 years, 5 months ago
Course
Agile Leadership Lab
The contents used in the workshop and the recordings of the sessions are available in this course.
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Madhurya joined the group Agile Leadership Lab: Nov 19th – Nov 25th, 2020 2 years, 5 months ago
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Madhurya started taking the course Statistical Analysis System (SAS): Level 01 2 years, 6 months ago
Course
Statistical Analysis System (SAS): Level 01
SAS (previously called “Statistical Analysis System”) is a statistical software suite developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, criminal investigation, and predictive analytics. Providing a scalable, integrated software environment designed for data access, transformation, and reporting, it includes a fourth-generation programming language; ready-to-use programs for data manipulation, information storage and retrieval, descriptive statistics and report writing; an object-oriented language for advanced data manipulation (DS2); a federated query language (FedSQL); and a powerful macro facility that reduces programming time and maintenance issues. SAS was developed at North Carolina State University from 1966 until 1976, when SAS Institute was incorporated.
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Madhurya joined the group Statistical Analysis System(SAS):Level 01 2 years, 6 months ago
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Madhurya has passed the Test Your Banking Knowledge quiz with score 5 2 years, 8 months ago
Test Your Banking Knowledge
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Madhurya completed the lesson Pre-Course Quiz 2 years, 8 months ago
Lesson
Pre-Course Quiz
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Madhurya started taking the course Banking Industry: Level 01 2 years, 8 months ago
Course
Banking Industry: Level 01
This course gives you an overview of the functioning and structure of the banking industry and the current trends driving the industry.
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Madhurya joined the group Know Your Industry – Banking (Level 1) 2 years, 8 months ago
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Madhurya started taking the course Data Engineering: Level 01 2 years, 10 months ago
Course
Data Engineering: Level 01
Data engineering is the aspect of data science that focuses on practical applications of data collection and analysis. For all the work that data scientists do to answer questions using large sets of information, there must be mechanisms for collecting and validating that information. In order for that work to ultimately have any value, there also have to be mechanisms for applying it to real-world operations in some way. Those are both engineering tasks: the application of science to practical, functioning systems. Data engineers focus on the applications and harvesting of big data. Their role doesn’t include a great deal of analysis or experimental design. Instead, they are out where the rubber meets the road (literally, in the case of self-driving vehicles), creating interfaces and mechanisms for the flow and access of information.
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