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    • Customize Your Learning Journey
    Customize Your Learning Journey
    Customize Your Learning Journey
    Customize Your Learning Journey
    Customize Your Learning Journey
    Customize Your Learning Journey
    Customize Your Learning Journey
    Customize Your Learning Journey
    Customize Your Learning Journey
    Customize Your Learning Journey
    Customize Your Learning Journey

    Class and Course
    1. NExT
    2. Digital Technology
    3. Data Science Fundamentals

    Data Science Fundamentals

    • Foundation
    • 3 Days
    • classroom1Classroom

    "Data Science Fundamentals" is a comprehensive three-day course introducing data science, AI, and data analytics. The training, conducted on the no-code platform Dataiku, covers exploratory data analysis, data pre-processing, cleaning techniques, and unconventional data types. It also includes supervised and unsupervised machine learning concepts. The blend of theory and hands-on experience through daily sessions ensures a practical understanding of the subject matter.

    General introduction to Data Science, AI and Data analytics

     

    Introduction to Data Science

    Introduction to Artificial Intelligence concepts

    Exploratory Data Analysis (EDA) (Visualization, and Descriptive Statistics)

    Statistical analysis

    Data science platform overview

    Hands-on session


    Data pre-processing and cleaning for Data analytics

     

    An introduction to unconventional data types (Textual data, times series, image)

    Data manipulation

    Data cleaning (Missing values, outliers …)

    Data transformation (Standardization, normalization, …)

    Data balancing

    Hands-on session


    Supervised and unsupervised Machine Learning

     

    Introduction to supervised and unsupervised Machine Learning

    Regression and classification methods

    Clustering algorithms (K-means)

    Model evaluation and metrics

    Ensemble learning (Random forest, bagging, boosting)

    Hands-on session


    Currently there are no scheduled classes for this course.

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