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Praneeth.Akondi started taking the course Machine Learning: Level 01 7 hours, 6 minutes 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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Praneeth.Akondi joined the group Machine Learning: Level 01 7 hours, 6 minutes ago
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Praneeth.Akondi started taking the course Probability & Statistics 2 days, 8 hours 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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Praneeth.Akondi joined the group Probability & Statistics 2 days, 8 hours ago
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utkarsh.raj completed the topic Extract, Transform & Load (ETL) 4 days, 16 hours ago
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sakshi.lingwal completed the lesson R basics, control statements and missing values 5 days, 13 hours ago
Lesson
R basics, control statements and missing values
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sakshi.lingwal started taking the course R Programming: Level 01 5 days, 13 hours 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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sakshi.lingwal joined the group R Programming: Level 01 5 days, 13 hours ago
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utkarsh.raj completed the topic References 5 days, 14 hours ago
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utkarsh.raj completed the topic Cross Industry Standardization 5 days, 14 hours ago
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utkarsh.raj completed the topic Data Source & Database 5 days, 14 hours ago
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utkarsh.raj completed the topic Significance of Data 5 days, 14 hours ago
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utkarsh.raj started taking the course Data Engineering: Level 01 5 days, 14 hours 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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utkarsh.raj joined the group Data Engineering: Level 01 5 days, 14 hours ago
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bhaswati.ramanujam completed the lesson R basics, control statements and missing values 6 days, 13 hours ago
Lesson
R basics, control statements and missing values
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Bhagavath.S completed the lesson Python Programming (Pre-requisite) 6 days, 13 hours ago
Lesson
Python Programming (Pre-requisite)
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Nithya.SN completed the lesson Beginner’s Guide 1 week, 2 days ago
Lesson
Beginner’s Guide
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Nithya.SN completed the lesson Pre-retail Supply Chain 1 week, 2 days ago
Lesson
Pre-retail Supply Chain
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Nithya.SN completed the lesson Rate your experience 1 week, 2 days ago
Lesson
Rate your experience
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Nithya.SN completed the lesson E-Tailing 1 week, 2 days ago
Lesson
E-Tailing
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