Tuesday, January 21, 2025

What are the core skills needed for data science course?

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  • #48967
    shivanshi770
    Participant

    Core skills for a data science course include:

    Programming: Python, R, and SQL.

    Statistics & Probability: For data analysis and validation.

    Data Wrangling: Cleaning and preparing data.

    Machine Learning: Algorithms like regression and clustering.

    Data Visualization: Using tools like Tableau, Matplotlib.

    Mathematics: Linear algebra, calculus.

    Big Data Tools: Hadoop, Spark, cloud platforms.

    Communication: Explaining insights to stakeholders.

    Domain Knowledge: Industry-specific understanding.

    These skills are essential for success in data science.

    #49117
    priyankarajput
    Participant

    The core skills needed for a data science course include:

    Mathematics and Statistics – Understanding probability, linear algebra, and calculus for machine learning algorithms.
    Programming – Proficiency in Python, R, and SQL for data manipulation and analysis.
    Data Wrangling – Cleaning and preparing raw data for analysis.
    Machine Learning – Knowledge of key algorithms and models.
    Data Visualization – Using tools like Tableau and Matplotlib to present insights.
    Big Data Technologies – Exposure to Hadoop, Spark, and cloud platforms.
    Analytical Thinking – Problem-solving and critical analysis.
    Communication Skills – Effectively presenting findings to stakeholders.

    #49175
    khushnuma123
    Participant

    Domain Knowledge: Understanding the specific industry you’re working in (e.g., healthcare, finance) to make data insights more relevant.

    Data Storytelling: The ability to narrate data findings effectively, turning insights into compelling stories that resonate with stakeholders.

    Version Control: Proficiency in tools like Git to manage code and collaborate efficiently with teams.

    Cloud Computing: Familiarity with platforms like AWS or Google Cloud for data storage and processing.

    Big Data Technologies: Understanding tools like Hadoop or Spark for handling large datasets.

    Ethical AI: Knowledge of responsible AI practices to ensure fairness and transparency in models.

    Experimentation Design: Skills in setting up A/B tests and other experiments to validate hypotheses.

    Soft Skills: Strong communication and collaboration abilities to work effectively in interdisciplinary teams.

    If you have any dought please visit here: https://uncodemy.com/course/data-science-training-course-in-delhi

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