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aeshna.pahwa joined the group Storyboarding 3 years, 2 months ago
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aeshna.pahwa joined the group Power Bi: Level 0 3 years, 2 months ago
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aeshna.pahwa joined the group Python: Level 02 3 years, 2 months ago
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aeshna.pahwa joined the group Tableau: Level 01 3 years, 2 months ago
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aeshna.pahwa joined the group Visual Basic for Application(VBA) in Excel: Level 01 3 years, 2 months ago
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aeshna.pahwa joined the group Amazon Redshift: Level 0 3 years, 2 months ago
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aeshna.pahwa joined the group Hyper Text Markup Language(HTML): Level 01 3 years, 2 months ago
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aeshna.pahwa joined the group muSeek 3 years, 2 months ago
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aeshna.pahwa joined the group muCoach 3 years, 2 months ago
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aeshna.pahwa joined the group How to use Microsoft Teams 3 years, 2 months ago
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aeshna.pahwa joined the group Fraud Management 3 years, 9 months ago
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aeshna.pahwa completed the lesson Module 1: Why Statistics? + Data and Visualizations 4 years, 11 months ago
Lesson
Module 1: Why Statistics? + Data and Visualizations
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aeshna.pahwa completed the topic Topic 1: Introduction to Big Data World 4 years, 11 months ago
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aeshna.pahwa completed the lesson Trends & Priorities in Pharma 5 years, 3 months ago
Lesson
Trends & Priorities in Pharma
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aeshna.pahwa started taking the course Pharmaceuticals Industry: Level 01 5 years, 3 months ago
Course
Pharmaceuticals Industry: Level 01
The pharmaceutical industry discovers, develops, produces, and markets drugs or pharmaceutical drugs for use as medications to be administered (or self-administered) to patients to cure them, vaccinate them, or alleviate a symptom. Healthcare is a part and parcel of our lives and hence it is important that we understand how this industry functions across different business units, This course teaches you different aspects of how a drug is procured by any individual and the details of what goes into the design of a seamless healthcare experience for any individual.
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aeshna.pahwa started taking the course Exploratory Data Analysis (EDA): Level 01 5 years, 3 months ago
Course
Exploratory Data Analysis (EDA): Level 01
This course covers essential exploratory techniques to get familiar with datasets. Using business intuition, graphical & statistical techniques to define the behavioral nature of the data. It also addresses various issues with the dataset like missing values and outliers and describes different ways to treat them. These important techniques generally serve as a pre-cursor to statistical modeling.
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aeshna.pahwa joined the group Exploratory Data Analysis (EDA): Level 01 5 years, 3 months ago
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aeshna.pahwa completed the lesson String and date manipulations and visualization in R 5 years, 3 months ago
Lesson
String and date manipulations and visualization in R
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aeshna.pahwa completed the lesson Data manipulation and transformation using dplyr & tidyr 5 years, 3 months ago
Lesson
Data manipulation and transformation using dplyr & tidyr
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