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所在平台: Udemy |
课程主页: https://www.udemy.com/course/hands-on-statistics-data-science-with-python-in-hindi/
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课程名称：印地语版 - 数据科学实用统计学 概述： 本课程旨在帮助印地语学员掌握数据科学和机器学习所需的统计学、概率论与 Python 编程。统计学是数据科学、机器学习和人工智能的基础，强大的统计学能力是做出数据驱动决策、分析数据集和构建准确机器学习模型的前提。本课专为希望使用 Python 学习数据科学统计学的印地语学习者设计，适合有志于成为数据科学家、机器学习工程师或商业分析师的学员，帮助他们建立扎实的统计基础，并将其应用于实践。 学习内容： - 描述性与推断性统计：均值、中位数、众数、方差、标准差、偏度、峰度 - 概率与分布：二项分布、正态分布、泊松分布和均匀分布 - 假设检验与统计推断：p 值、t 检验、卡方检验、方差分析（ANOVA） - Python 统计学库：NumPy、Pandas、SciPy、Matplotlib 和 Seaborn - 实际数据科学案例研究：使用统计学解决实际商业问题 - 机器学习统计学：特征选择、相关性和数据预处理 适合对象： - 有志于成为数据科学家和分析师的人士 - Python 程序员和开发者 - 机器学习和人工智能的爱好者 - MIS 执行人员和商业分析师 - 学生和职业转换者 课程优势： - 以印地语授课，适合喜欢母语学习的学员 - 实践 Python 编程，学习 NumPy、Pandas、Matplotlib 和 SciPy - 真实案例研究与项目，应用统计学于实际商业与 ML 问题 - 初学者友好，无需前置统计知识 - 高质量内容，涵盖 25 小时以上的视频讲座，从基础到高级 预备知识： - 基础数学知识（代数、数字） - Python 基础知识（变量、循环、函数）——非必需，但有帮助 - 需要有一台连接互联网的笔记本电脑或PC，以便进行编码练习 立即注册，开启数据科学之旅！掌握 Python 中的统计学与概率论，成为数据科学专家——以印地语学习！
Master Statistics, Probability & Python for Data Science and Machine Learning - in Hindi!Why Learn Statistics for Data Science?Statistics is the foundation of Data Science, Machine Learning, and AI. Without a strong grasp of statistics, it's impossible to make data-driven decisions, analyze datasets, or build accurate ML models.This course is specially designed for Hindi-speaking learners who want to master Statistics for Data Science using Python. Whether you are an aspiring Data Scientist, Machine Learning Engineer, or Business Analyst, this course will help you build a strong foundation in statistics and apply it practically with Python.What Will You Learn?Descriptive & Inferential Statistics - Mean, Median, Mode, Variance, Standard Deviation, Skewness, KurtosisProbability & Distributions - Binomial, Normal, Poisson, and Uniform DistributionsHypothesis Testing & Statistical Inference - p-value, t-tests, Chi-square tests, ANOVAPython for Statistics - NumPy, Pandas, SciPy, Matplotlib, and SeabornReal-World Data Science Case Studies - Solve practical business problems with statisticsStatistics for Machine Learning - Feature selection, correlation, and data preprocessingWho Should Take This Course?Aspiring Data Scientists & Analysts - Build a solid foundation in statistics for Data Science & MLPython Programmers & Developers - Learn how to apply statistics for data analysis & AIMachine Learning & AI Enthusiasts - Understand how statistics powers ML modelsMIS Executives & Business Analysts - Improve data-driven decision-makingStudents & Career Switchers - Learn statistics from scratch in Hindi, with hands-on Python practiceWhy Take This Course?Course in Hindi - Best for Hindi-speaking learners who prefer learning in their native languageHands-on Python Implementation - Learn practical coding with NumPy, Pandas, Matplotlib & SciPyReal-World Case Studies & Projects - Apply statistics to real business & ML problemsBeginner-Friendly - No prior statistics knowledge required!High-Quality Content - 25+ hours of step-by-step video lectures covering everything from basics to advancedPrerequisitesBasic understanding of Mathematics (Algebra, Numbers)Python Basics (Variables, Loops, Functions) - Not mandatory, but helpfulA Laptop/PC with Internet to follow along with coding exercisesEnroll Now & Start Your Data Science Journey!Master Statistics & Probability with Python and become a Data Science Expert - in Hindi!
