AI Fundamentals · Intermediate

    Statistics with Python for Data Science Beginners

    Data science is a multidisciplinary discipline, and a data scientist should acquire a comprehensive set of skills that covers every building block of the field to have a flourishing career. Statistics is one of the building blocks. Further…

    12+
    enrolled
    6 hrs
    of instruction
    8
    lectures
    4
    modules
    Statistics with Python for Data Science Beginners

    What's inside

    Readings
    7

    01 · What you'll be able to do

    Two things you can ship afterwards.

    Data science is a multidisciplinary discipline, and a data scientist should acquire a comprehensive set of skills that covers every building block of the field to have a flourishing career. Statistics is one of the building blocks. Further, the goal of data science is to get insights from data. The first step toward achieving this goal is to thoroughly understand the data. Statistics is the most powerful tool for understanding, interpreting, and evaluating data. The ADaSci, the premier global professional body of data science and machine learning professionals, is coming up with this opportunity to let data science aspirants dive deeply into Statistics. In this workshop, the attendees will get a complete understanding of the concept of statistics and where and how it is used. Different ways of understanding the data using methods like descriptive statistics and inferential statistics will be discussed in this workshop with hands-on experiments in Python. Note: ADaSci Members get 50% discount and Premium Members get 100% discount on the course.

    Gain a comprehensive understanding

    Gain a comprehensive understanding of statistical concepts, including measures of central tendency, dispersion, probability distributions, and hypothesis testing.

    Learn Python programming specifically

    Learn Python programming specifically tailored for data analysis purposes, covering libraries like NumPy, Pandas, and Matplotlib to manipulate, analyze, and visualize data.

    02 · Curriculum

    What's in the course.

    4 modules · 8 lectures

    • Intuition Part 1Reading
    • Intuition Part 2Reading

    04 · Is it for you?

    Who it's for, and what to bring.

    Built for

    • Beginners in Data Science

    Bring with you

    • A fundamental understanding of mathematics, including algebra, probability, and basic calculus, will greatly aid in comprehending statistical concepts. A willingness to dive into complex statistical theories and algorithms with persistence, as statistical concepts might require multiple iterations for full comprehension.

    05 · FAQ

    Before you enrol.

    It is self-paced, with 8 lectures across 4 modules.

    $54.99

    Ready to start?

    $54.99, or free with Premium membership.

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