Data analysts use several Data Engineering From Other Data Jargons. Data Lifecycle Management is a process that helps organizations to manage the flow of data throughout its lifecycle. By which a Data analysts should be well versed. Also with such Data Jargons and with Python for Data Wrangling, Pipelining & Analysis. But the question is how? Well, here are all your answers.
In this webinar you will learn:
Stages of Data Solutions Lifecycle
Differentiating Data Engineering From Other Data Jargons
Using Python for Data Wrangling, Pipelining & Analysis
Data Visualisation Live Demo
About Ashutosh Ranjan:
I am a Data Scientist working with Data Factory and doing Data Analysis for the last 4 years and specialized to help companies with their decision-making abilities by providing meaningful insights from data to grow their business.
In the last 4 years, I have helped over 100+ users globally by developing modules, aligning peers, deploying components under strict timelines, and ensuring a seamless end-to-end delivery.
I have an excellent understanding of Data Science & Analysis with a strong knowledge of Python, SQL, SOQL, Tableau, SAS, Statistics, Informatica Cloud & Machine Learning Algorithms/techniques.