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patrick.yue joined the group Power Bi: Level 0 3 years, 2 months ago
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patrick.yue joined the group Python: Level 02 3 years, 2 months ago
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patrick.yue joined the group Pyspark: Level 01 3 years, 2 months ago
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patrick.yue joined the group R Shiny: Level 0 3 years, 2 months ago
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patrick.yue joined the group R Programming Level 02 3 years, 2 months ago
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patrick.yue joined the group Google Cloud Platform(GCP):Level 0 3 years, 2 months ago
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patrick.yue joined the group Cloud Platforms: Level 0 3 years, 2 months ago
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patrick.yue started taking the course Retail Industry: Level 01 3 years, 11 months ago
Course
Retail Industry: Level 01
Retailing is a fast-paced, exciting and essential service industry that employs a high proportion of the working population and contributes significantly to the health and wealth of advanced economies. The retail sector probably is the most important sector of economy because it has to do directly with consumer. It includes all stores, from kiosks and small groceries to supermarket chains and shopping malls that sell products and services to final consumer
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patrick.yue joined the group Retail Industry: Level 01 3 years, 11 months ago
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patrick.yue started taking the course R Programming: Level 01 4 years, 1 month ago
Course
R Programming: Level 01
This course will enable its learners to enhance their data analysis and visualization skills in R. The course is aimed for people who are aware of R basics and will help them become adept at performing complex data manipulation and exploration.
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patrick.yue joined the group R Programming: Level 01 4 years, 1 month ago
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patrick.yue started taking the course Machine Learning: Level 01 4 years, 1 month ago
Course
Machine Learning: Level 01
Machine Learning is a subset of Artificial Intelligence, which provides systems the ability to automatically learn and improve through experience. It is an up and coming branch of applied mathematics. Machine Learning for Beginners is an introductory level course, intended to provide learners with pre-requisites of R and Python Basics, Hypothesis Testing, Exploratory Data Analysis (EDA), and Feature Engineering.
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patrick.yue joined the group Machine Learning: Level 01 4 years, 1 month ago
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patrick.yue started taking the course Exploratory Data Analysis (EDA): Level 01 4 years, 2 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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patrick.yue joined the group Exploratory Data Analysis (EDA): Level 01 4 years, 2 months ago
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patrick.yue started taking the course Demand Forecasting 4 years, 2 months ago
Course
Demand Forecasting
Demand forecasting is comprised of a series of steps that involves anticipation of demand for a product in future under both controllable and non-controllable factors. Predicting right demand of a product enables an organization to: plan and schedule the production and acquire the inputs accordingly, make provisions for finances, formulate a pricing strategy and prepare marketing plans and implement them.
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patrick.yue joined the group Demand Forecasting 4 years, 2 months ago
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patrick.yue started taking the course Excel: Level 0 4 years, 3 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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patrick.yue joined the group Excel: Level 0 4 years, 3 months ago
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patrick.yue started taking the course Probability & Statistics 4 years, 3 months ago
Course
Probability & Statistics
This course provides learners with key Statistical concepts and will enable them to apply these concepts in their daily deliverable(s).
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