وب سایت تخصصی شرکت فرین
دسته بندی دوره ها

Python Mastery for Data, Statistics & Statistical Modeling

سرفصل های دوره

Python Mastery for Data Science & Statistical Modeling: Basics to Advanced Applications in Data Analysis, Visualization


1 - Python for Data Science and Data Analysis
  • 1 - Link to the Python codes for the projects and the data.html
  • 2 - Introduction About the Tutor and AI Sciences
  • 3 - Introduction Introduction To Instructor
  • 4 - Introduction Focus of the CoursePart 1
  • 5 - Introduction Focus of the Course Part 2
  • 6 - Basics of Programming Understanding the Algorithm
  • 7 - Basics of Programming FlowCharts and Pseudocodes
  • 8 - Basics of Programming Example of Algorithms Making Tea Problem
  • 9 - Basics of Programming Example of AlgorithmsSearching Minimun
  • 10 - Basics of Programming Example of AlgorithmsSearching Minimun Quiz
  • 11 - Basics of Programming Example of AlgorithmsSorting Problem
  • 12 - Basics of Programming Example of AlgorithmsSearching Minimun Solution
  • 13 - Basics of Programming Sorting Problem in Python
  • 14 - Why Python and Jupyter Notebook Why Python
  • 15 - Why Python and Jupyter Notebook Why Jupyter Notebooks
  • 16 - Installation of Anaconda and IPython Shell Installing Python and Jupyter Anaconda
  • 17 - Installation of Anaconda and IPython Shell Your First Python Code Hello World
  • 18 - Installation of Anaconda and IPython Shell Coding in IPython Shell
  • 19 - Variable and Operator Variables
  • 20 - Variable and Operator Operators
  • 21 - Variable and Operator Variable Name Quiz
  • 22 - Variable and Operator Bool Data Type in Python
  • 23 - Variable and Operator Comparison in Python
  • 24 - Variable and Operator Combining Comparisons in Python
  • 25 - Variable and Operator Combining Comparisons Quiz
  • 26 - Python Useful function Python Function Round
  • 27 - Python Useful function Python Function Round Quiz
  • 28 - Python Useful function Python Function Round Solution
  • 29 - Python Useful function Python Function Divmod
  • 30 - Python Useful function Python Function Is instance and PowFunctions
  • 31 - Python Useful function Python Function Input
  • 32 - Control Flow in Python If Python Condition
  • 33 - Control Flow in Python if Elif Else Python Conditions
  • 34 - Control Flow in Python if Elif Else Python Conditions Quiz
  • 35 - Control Flow in Python if Elif Else Python Conditions Solution
  • 36 - Control Flow in Python More on if Elif Else Python Conditions
  • 37 - Control Flow in Python More on if Elif Else Python Conditions Quiz
  • 38 - Control Flow in Python More on if Elif Else Python Conditions Solution
  • 39 - Control Flow in Python Indentations
  • 40 - Control Flow in Python Indentations Quiz
  • 41 - Control Flow in Python Indentations Solution
  • 42 - Control Flow in Python Comments and Problem Solving Practice With If
  • 43 - Control Flow in Python While Loop
  • 44 - Control Flow in Python While Loop break Continue
  • 45 - Control Flow in Python While Loop break Continue Quiz
  • 46 - Control Flow in Python While Loop break Continue Solution
  • 47 - Control Flow in Python For Loop
  • 48 - Control Flow in Python For Loop Quiz
  • 49 - Control Flow in Python For Loop Solution
  • 50 - Control Flow in Python Else In For Loop
  • 51 - Control Flow in Python Loops PracticeSorting Problem
  • 52 - Function and Module in Python Functions in Python
  • 53 - Function and Module in Python DocString
  • 54 - Function and Module in Python Input Arguments
  • 55 - Function and Module in Python Multiple Input Arguments
  • 56 - Function and Module in Python Multiple Input Arguments Quiz
  • 57 - Function and Module in Python Multiple Input Arguments Solution
  • 58 - Function and Module in Python Ordering Multiple Input Arguments
  • 59 - Function and Module in Python Output Arguments and Return Statement
  • 60 - Function and Module in Python Function PracticeOutput Arguments and Return Statement
  • 61 - Function and Module in Python Variable Number of Input Arguments
  • 62 - Function and Module in Python Variable Number of Input Arguments Quiz
  • 63 - Function and Module in Python Variable Number of Input Arguments Solution
  • 64 - Function and Module in Python Variable Number of Input Arguments as Dictionary
  • 65 - Function and Module in Python Variable Number of Input Arguments as Dictionary Quiz
  • 66 - Function and Module in Python Variable Number of Input Arguments as Dictionary Solution
  • 67 - Function and Module in Python Default Values in Python
  • 68 - Function and Module in Python Modules in Python
  • 69 - Function and Module in Python Making Modules in Python
  • 70 - Function and Module in Python Function PracticeSorting List in Python
  • 71 - String in Python Strings
  • 72 - String in Python Multi Line Strings
  • 73 - String in Python Indexing Strings
  • 74 - String in Python Indexing Strings Quiz
  • 75 - String in Python Indexing Strings Solution
  • 76 - String in Python String Methods
  • 77 - String in Python String Methods Quiz
  • 78 - String in Python String Methods Solution
  • 79 - String in Python String Escape Sequences
  • 80 - String in Python String Escape Sequences Quiz
  • 81 - String in Python String Escape Sequences Solution
  • 82 - Data Structure Introduction to Data Structure
  • 83 - Data Structure Defining and Indexing
  • 84 - Data Structure Insertion and Deletion
  • 85 - Data Structure Insertion and Deletion Quiz
  • 86 - Data Structure Insertion and Deletion Solution
  • 87 - Data Structure Python PracticeInsertion and Deletion
  • 88 - Data Structure Python PracticeInsertion and Deletion Quiz
  • 89 - Data Structure Python PracticeInsertion and Deletion Solution
  • 90 - Data Structure Deep Copy or Reference Slicing
  • 91 - Data Structure Deep Copy or Reference Slicing Quiz
  • 92 - Data Structure Deep Copy or Reference Slicing Solution
  • 93 - Data Structure Exploring Methods Using TAB Completion
  • 94 - Data Structure Data Structure Abstract Ways
  • 95 - Data Structure Data Structure Practice
  • 96 - Data Structure Data Structure Practice Quiz
  • 97 - Data Structure Data Structure Practice Solution

  • 2 - Mastering Probability Statistic Python Theory Projects
  • 98 - Link to the Python codes for the projects and the data.html
  • 99 - Introduction Introduction to Instructor and AISciences
  • 100 - Introduction Introduction To Instructor
  • 101 - Introduction Focus of the Course
  • 102 - Probability vs Statistics Probability vs Statistics
  • 103 - Sets Definition of Set
  • 104 - Sets Cardinality of a Set
  • 105 - Sets Subsets PowerSet UniversalSet
  • 106 - Sets Python Practice Subsets
  • 107 - Sets PowerSets Solution
  • 108 - Sets Operations
  • 109 - Sets Operations Exercise 01
  • 110 - Sets Operations Solution 01
  • 111 - Sets Operations Exercise 02
  • 112 - Sets Operations Solution 02
  • 113 - Sets Operations Exercise 03
  • 114 - Sets Operations Solution 03
  • 115 - Sets Python Practice Operations
  • 116 - Sets VennDiagrams Operations
  • 117 - Sets Homework
  • 118 - Experiment Random Experiment
  • 119 - Experiment Outcome and Sample Space
  • 120 - Experiment Outcome and Sample Space Exercise 01
  • 121 - Experiment Outcome and Sample Space Solution 01
  • 122 - Experiment Event
  • 123 - Experiment Event Exercise 01
  • 124 - Experiment Event Solution 01
  • 125 - Experiment Event Exercise 02
  • 126 - Experiment Event Solution 02
  • 127 - Experiment Recap and Homework
  • 128 - Probability Model Probability Model
  • 129 - Probability Model Probability Axioms
  • 130 - Probability Model Probability Axioms Derivations
  • 131 - Probability Model Probability Axioms Derivations Exercise 01
  • 132 - Probability Model Probability Axioms Derivations Solution 01
  • 133 - Probability Model Probablility Models Example
  • 134 - Probability Model Probablility Models More Examples
  • 135 - Probability Model Probablility Models Continous
  • 136 - Probability Model Conditional Probability
  • 137 - Probability Model Conditional Probability Example
  • 138 - Probability Model Conditional Probability Formula
  • 139 - Probability Model Conditional Probability in Machine Learning
  • 140 - Probability Model Conditional Probability Total Probability Theorem
  • 141 - Probability Model Probablility Models Independence
  • 142 - Probability Model Probablility Models Conditional Independence
  • 143 - Probability Model Probablility Models Conditional Independence Exercise 01
  • 144 - Probability Model Probablility Models Conditional Independence Solution 01
  • 145 - Probability Model Probablility Models BayesRule
  • 146 - Probability Model Probablility Models towards Random Variables
  • 147 - Probability Model HomeWork
  • 148 - Random Variables Introduction
  • 149 - Random Variables Random Variables Examples
  • 150 - Random Variables Random Variables Examples Exercise 01
  • 151 - Random Variables Random Variables Examples Solution 01
  • 152 - Random Variables Bernulli Random Variables
  • 153 - Random Variables Bernulli Trail Python Practice
  • 154 - Random Variables Bernulli Trail Python Practice Exercise 01
  • 155 - Random Variables Bernulli Trail Python Practice Solution 01
  • 156 - Random Variables Geometric Random Variable
  • 157 - Random Variables Geometric Random Variable Normalization Proof Optional
  • 158 - Random Variables Geometric Random Variable Python Practice
  • 159 - Random Variables Binomial Random Variables
  • 160 - Random Variables Binomial Python Practice
  • 161 - Random Variables Random Variables in Real DataSets
  • 162 - Random Variables Random Variables in Real DataSets Exercise 01
  • 163 - Random Variables Random Variables in Real DataSets Solution 01
  • 164 - Random Variables Homework
  • 165 - Continous Random Variables Zero Probability to Individual Values
  • 166 - Continous Random Variables Zero Probability to Individual Values Exercise 01
  • 167 - Continous Random Variables Zero Probability to Individual Values Solution 01
  • 168 - Continous Random Variables Probability Density Functions
  • 169 - Continous Random Variables Probability Density Functions Exercise 01
  • 170 - Continous Random Variables Probability Density Functions Solution 01
  • 171 - Continous Random Variables Uniform Distribution
  • 172 - Continous Random Variables Uniform Distribution Exercise 01
  • 173 - Continous Random Variables Uniform Distribution Solution 01
  • 174 - Continous Random Variables Uniform Distribution Python
  • 175 - Continous Random Variables Exponential
  • 176 - Continous Random Variables Exponential Exercise 01
  • 177 - Continous Random Variables Exponential Solution 01
  • 178 - Continous Random Variables Exponential Python
  • 179 - Continous Random Variables Gaussian Random Variables
  • 180 - Continous Random Variables Gaussian Random Variables Exercise 01
  • 181 - Continous Random Variables Gaussian Random Variables Solution 01
  • 182 - Continous Random Variables Gaussian Python
  • 183 - Continous Random Variables Transformation of Random Variables
  • 184 - Continous Random Variables Homework
  • 185 - Expectations Definition
  • 186 - Expectations Sample Mean
  • 187 - Expectations Law of Large Numbers
  • 188 - Expectations Law of Large Numbers Famous Distributions
  • 189 - Expectations Law of Large Numbers Famous Distributions Python
  • 190 - Expectations Variance
  • 191 - Expectations Homework
  • 192 - Project Bayes Classifier Project Bayes Classifier From Scratch
  • 193 - Multiple Random Variables Joint Distributions
  • 194 - Multiple Random Variables Joint Distributions Exercise 01
  • 195 - Multiple Random Variables Joint Distributions Solution 01
  • 196 - Multiple Random Variables Joint Distributions Exercise 02
  • 197 - Multiple Random Variables Joint Distributions Solution 02
  • 198 - Multiple Random Variables Joint Distributions Exercise 03
  • 199 - Multiple Random Variables Joint Distributions Solution 03
  • 200 - Multiple Random Variables Multivariate Gaussian
  • 201 - Multiple Random Variables Conditioning Independence
  • 202 - Multiple Random Variables Classification
  • 203 - Multiple Random Variables Naive Bayes Classification
  • 204 - Multiple Random Variables Regression
  • 205 - Multiple Random Variables Curse of Dimensionality
  • 206 - Multiple Random Variables Homework
  • 207 - Optional Estimation Parametric Distributions
  • 208 - Optional Estimation MLE
  • 209 - Optional Estimation LogLiklihood
  • 210 - Optional Estimation MAP
  • 211 - Optional Estimation Logistic Regression
  • 212 - Optional Estimation Ridge Regression
  • 213 - Optional Estimation DNN
  • 214 - Mathematical Derivations for Math Lovers Permutations
  • 215 - Mathematical Derivations for Math Lovers Combinations
  • 216 - Mathematical Derivations for Math Lovers Binomial Random Variable
  • 217 - Mathematical Derivations for Math Lovers Logistic Regression Formulation
  • 218 - Mathematical Derivations for Math Lovers Logistic Regression Derivation
  • 219 - THANK YOU

  • 3 - Statistics Statistical Modeling Made Easy for ALL
  • 220 - Link to the Python codes for the projects and the data.html
  • 221 - Introduction Course Introduction
  • 222 - Introduction AI Sciences
  • 223 - Introduction Course Outline
  • 224 - Summary Statistics Module Intoduction
  • 225 - Summary Statistics Overview
  • 226 - Summary Statistics Summary Statistics
  • 227 - Summary Statistics Average Types
  • 228 - Summary Statistics Mean
  • 229 - Summary Statistics Median
  • 230 - Summary Statistics Median Example
  • 231 - Summary Statistics Mode
  • 232 - Summary Statistics Case Study For Average
  • 233 - Summary Statistics IQR
  • 234 - Summary Statistics Variance
  • 235 - Summary Statistics Standard Deviation
  • 236 - Summary Statistics Averages in Python
  • 237 - Summary Statistics Std Deviation and Variance in Python
  • 238 - Summary Statistics IQR in Python
  • 239 - Hypothesis Testing Module Introduction
  • 240 - Hypothesis Testing Hypothesis Testing Overview
  • 241 - Hypothesis Testing Terminologies in Hypothesis Testing
  • 242 - Hypothesis Testing Null Hypothesis
  • 243 - Hypothesis Testing Alternate Hypothesis
  • 244 - Hypothesis Testing Test Statistics
  • 245 - Hypothesis Testing PValue
  • 246 - Hypothesis Testing Critical Value
  • 247 - Hypothesis Testing Level of Significance
  • 248 - Hypothesis Testing Case Study 1
  • 249 - Hypothesis Testing Case Study 2
  • 250 - Hypothesis Testing Calculations for Python
  • 251 - Hypothesis Testing Steps of Hypothesis Testing
  • 252 - Hypothesis Testing Code Outcomes
  • 253 - Hypothesis Testing Calculation of Z in Python
  • 254 - Hypothesis Testing Norm Function
  • 255 - Hypothesis Testing P Value Python
  • 256 - Correlation and Regression Module Introduction
  • 257 - Correlation and Regression Covariance and Correlation
  • 258 - Correlation and Regression Correlation
  • 259 - Correlation and Regression Regression
  • 260 - Correlation and Regression Correlation and Covariance in Python
  • 261 - Correlation and Regression Entering Input
  • 262 - Correlation and Regression Linear Regression Results
  • 263 - Multiple Regression Module Overview
  • 264 - Multiple Regression Motivation for Multiple Regression
  • 265 - Multiple Regression Formula for MR
  • 266 - Multiple Regression Preparing the Data
  • 267 - Multiple Regression Multiple Regression in Python
  • 139,000 تومان
    بیش از یک محصول به صورت دانلودی میخواهید؟ محصول را به سبد خرید اضافه کنید.
    افزودن به سبد خرید
    خرید دانلودی فوری

    در این روش نیاز به افزودن محصول به سبد خرید و تکمیل اطلاعات نیست و شما پس از وارد کردن ایمیل خود و طی کردن مراحل پرداخت لینک های دریافت محصولات را در ایمیل خود دریافت خواهید کرد.

    ایمیل شما:
    تولید کننده:
    شناسه: 27726
    حجم: 7214 مگابایت
    مدت زمان: 1689 دقیقه
    تاریخ انتشار: ۲۸ آذر ۱۴۰۲
    طراحی سایت و خدمات سئو

    139,000 تومان
    افزودن به سبد خرید