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Data Science for Startup

Home / EVENTS

Data Science for Startup

Our lives are flooded by large amounts of information, but not all of them are useful data. Therefore it is essential for us to learn how to apply data science in every aspect of our daily life from personal finances, reading and lifestyle habits, to make informed business decisions.In this session, a thorough introduction to data science will be provided. First of all, the main and important definitions will be displayed. Next, the data product life cycle with examples will be explained. Basic Python and R will be provided to show some real use cases using both of the programming languages.Key Takeaways Understand what is data science Understand the relationships between data science and other sciences Understand the life cycle of data-based products Understand the main skills of the data scientist Understand the main tools of the data scientist Understand the basics of Python Understand the basics of RCourse Breakdown What is Data Science Data Gathering/Data Pipelines Accessing Gathering Storing Data Preparation and Cleaning Data Cleaning Data Transformation Outliers Handling Data Integration Data Reduction Data Analysis Exploratory data analysis Answering Questions Conclusions Data Visualisation Why Visualisation is so important Graphs types Graphs Usages Python Vs R Real use case with Python Real use case with RAgendaTimeActivity8:30 AMRegistration9:00 AMClass commencing6:00 PMEnd

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Home / EVENTS

Data Science for Startup

Nov 5, 2019 12:00 AM

-

12:00 am

MaGIC (Malaysian Global Innovation & Creativity Centre)

RM100

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Our lives are flooded by large amounts of information, but not all of them are useful data. Therefore it is essential for us to learn how to apply data science in every aspect of our daily life from personal finances, reading and lifestyle habits, to make informed business decisions.In this session, a thorough introduction to data science will be provided. First of all, the main and important definitions will be displayed. Next, the data product life cycle with examples will be explained. Basic Python and R will be provided to show some real use cases using both of the programming languages.Key Takeaways Understand what is data science Understand the relationships between data science and other sciences Understand the life cycle of data-based products Understand the main skills of the data scientist Understand the main tools of the data scientist Understand the basics of Python Understand the basics of RCourse Breakdown What is Data Science Data Gathering/Data Pipelines Accessing Gathering Storing Data Preparation and Cleaning Data Cleaning Data Transformation Outliers Handling Data Integration Data Reduction Data Analysis Exploratory data analysis Answering Questions Conclusions Data Visualisation Why Visualisation is so important Graphs types Graphs Usages Python Vs R Real use case with Python Real use case with RAgendaTimeActivity8:30 AMRegistration9:00 AMClass commencing6:00 PMEnd

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