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  • 2 months ago
Welcome to our deep dive into Statistics & Probability with Python – the foundation of data-driven decision-making! πŸš€

Whether you’re a student, data enthusiast, or professional, this video will help you understand:

Core statistical concepts (mean, median, variance, standard deviation)

Probability theories & real-world applications

Probability distributions (Normal, Binomial, Poisson)

Hypothesis testing, correlation, and regression

Advanced techniques: Bayesian analysis, predictive modeling, time series forecasting

Python libraries like NumPy, Pandas, SciPy, and Statsmodels

πŸ‘‰ Learn how statistics and probability power machine learning, AI, business forecasting, finance, and healthcare.

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Expert Trainers with deep industry experience

25+ Real Projects and 300+ hours of learning

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πŸ”— Start your data science journey with the Postgraduate Program in Data Science & Analytics (PGA) at Imarticus Learning today!
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