Python and Data Science from Scratch With RealLife Exercises

سرفصل های دوره

Python Data Science with Python programming, NumPy, Pandas, Matplotlib and dive into Data Science with Python Projects

1 - Data Science Python is Easy to Learn with Python Python Data Science Pandas

1 - Python Is The New King and Pandas and Numpy Are So Cute

2 - FAQ regarding Data Science Numpy Pandas.html

3 - Project Files and Course Documents for Python Data Science Course.html

4 - FAQ regarding Python Numpy Pandas.html

2 - Data Science Setting Up Python for Mac and Windows

5 - Installing Anaconda Distribution For MAC

6 - Installing Anaconda Distribution For Windows

7 - Installing Python and PyCharm For MAC

8 - Installing Python and PyCharm For Windows

9 - Installing Jupyter Notebook For MAC

10 - Installing Jupyter Notebook For Windows

3 - If there are variables there is Python

11 - What is a variable in Python

4 - Math is not so confusing with Python 3 now

12 - Numbers and Math Operators with example

5 - Strings in Python Programming

13 - String Operations and Useful String Methods

14 - Data Type Conversion

15 - Exercise Company Email Generator

6 - Conditionals in Python

16 - Conditionals in Python

17 - bool Function in Python

18 - Comparison and Logical Operators in Python

19 - If Statements in Python

20 - Exercise Calculator in Python

21 - Exercise User Login in Python

7 - Loops in Python

5 - Data Science Python Quiz.html

6 - Python Data Science Quiz.html

22 - Loops in Python

23 - While Loops in Python

24 - For Loops in Python

25 - Range Function in Python

26 - Control Statements in Python

27 - Exercise Perfect Numbers in Python

28 - Exercise User Login with Loops in Python

8 - Functions in Python Bootcamp

29 - Functions in Python Programming

30 - Create A New Function and Function Calls

31 - Return Statement in Python

32 - Lambda Functions in Python

33 - Exercise Finding Prime Number

9 - Modules in Python 3

34 - Logic of Using Modules in Python

35 - How It is Work in Python

36 - Create A New Module in Python

37 - Exercise Number Game in Python

10 - Lists in Data Science Python

38 - Lists and List Operations in Python

39 - List Methods in Python

40 - List Comprehensions in Python

41 - Data Science Python Exercise Fibonacci Numbers

42 - Data Science Ptyhon Exercise Merging Name and Surname

11 - Tuples in Python Programming

43 - Tuples

12 - Data Science Python Dictionaries

44 - Dictionaries in Python Data Science

45 - Dictionary Comprehensions in Python Data Science

46 - Data Science Python Exercise Letter Counter

47 - Data Science Python Exercise Word Counter

13 - Exceptions in Python Programming

48 - What is Exception

49 - Exception Handling in Python Programming

50 - Exercise if Number

14 - Python Programming Files

51 - Python Programming Files

52 - File Operations in Python Data Science

53 - Chelsea.txt

53 - Exercise Team Building

54 - Exercise Overlap

15 - Python 3 Sets

55 - Sets and Set Operations and Methods

56 - Set Comprehensions in Python Programming

16 - Object Oriented Programming OOP

57 - Logic of OOP

58 - Constructor in OOP

59 - Methods in OOP

60 - Inheritance in OOP

61 - Overriding and Overloading in OOP

17 - Data Science Python Project Project

62 - Project Remote Controller Application

18 - Python For Data Science In Foreign Lands Data Science

15 - Python Data Science Quiz.html

63 - What Is Data Science

64 - Data Literacy

19 - Using Numpy for Data Manipulation

65 - Introduction to NumPy Library

66 - Notebook Project Files Link regarding NumPy Python Programming Language Library.html

67 - The Power of NumPy

68 - 6 Article Advice And Links about Numpy Numpy Pyhon.html

69 - Creating NumPy Array with The Array Function

70 - Creating NumPy Array with Zeros Function

71 - Creating NumPy Array with Ones Function

72 - Creating NumPy Array with Full Function

73 - Creating NumPy Array with Arange Function

74 - Creating NumPy Array with Eye Function

75 - Creating NumPy Array with Linspace Function

76 - Creating NumPy Array with Random Function

77 - Properties of NumPy Array

78 - Reshaping a NumPy Array Reshape Function

79 - Identifying the Largest Element of a Numpy Array

80 - Detecting Least Element of Numpy Array Min Ar

81 - Concatenating Numpy Arrays Concatenate Functio

82 - Splitting OneDimensional Numpy Arrays The Split

83 - Splitting TwoDimensional Numpy Arrays Split

84 - Sorting Numpy Arrays Sort Function

85 - Indexing Numpy Arrays

86 - Slicing OneDimensional Numpy Arrays

87 - Slicing TwoDimensional Numpy Arrays

88 - Assigning Value to OneDimensional Arrays

89 - Assigning Value to TwoDimensional Array

90 - Fancy Indexing of OneDimensional Arrrays

91 - Fancy Indexing of TwoDimensional Arrrays

92 - Combining Fancy Index with Normal Indexing

93 - Combining Fancy Index with Normal Slicing

94 - Operations with Comparison Operators

95 - Arithmetic Operations in Numpy

96 - Statistical Operations in Numpy

97 - Solving SecondDegree Equations with NumPy

20 - Optional Recap Exercises and Bonus Info from the Numpy Library

98 - What is Numpy

99 - Array and Features in Numpy

100 - Array Operators in Numpy

101 - Indexing and Slicing in Numpy

102 - Numpy Exercises

21 - Pandas Using Pandas for Data Manipulation

103 - Introduction to Pandas Library

104 - Pandas Project Files Link.html

105 - Creating a Pandas Series with a List

106 - Creating a Pandas Series with a Dictionary

107 - Creating Pandas Series with NumPy Array

108 - Object Types in Series

109 - Examining the Primary Features of the Pandas Series

110 - Most Applied Methods on Pandas Series

111 - Indexing and Slicing Pandas Series

112 - Creating Pandas DataFrame with List

113 - Creating Pandas DataFrame with NumPy Array

114 - Creating Pandas DataFrame with Dictionary

115 - Examining the Properties of Pandas DataFrames

116 - Element Selection Operations in Pandas DataFrames Lesson 1

117 - Element Selection Operations in Pandas DataFrames Lesson 2

118 - Top Level Element Selection in Pandas DataFrames Lesson 1

119 - Top Level Element Selection in Pandas DataFrames Lesson 2

120 - Top Level Element Selection in Pandas DataFrames Lesson 3

121 - Element Selection with Conditional Operations in Pandas Data Frames

122 - Adding Columns to Pandas Data Frames

123 - Removing Rows and Columns from Pandas Data frames

124 - Null Values in Pandas Dataframes

125 - Dropping Null Values Dropna Function

126 - Filling Null Values Fillna Function

127 - Setting Index in Pandas DataFrames

128 - MultiIndex and Index Hierarchy in Pandas DataFrames

129 - Element Selection in MultiIndexed DataFrames

130 - Selecting Elements Using the xs Function in MultiIndexed DataFrames

131 - Concatenating Pandas Dataframes Concat Function

132 - Merge Pandas Dataframes Merge Function Lesson 1

133 - Merge Pandas Dataframes Merge Function Lesson 2

134 - Merge Pandas Dataframes Merge Function Lesson 3

135 - Merge Pandas Dataframes Merge Function Lesson 4

136 - Joining Pandas Dataframes Join Function

137 - Loading a Dataset from the Seaborn Library

138 - Examining the Data Set 1

139 - Aggregation Functions in Pandas DataFrames

140 - Examining the Data Set 2

141 - Coordinated Use of Grouping and Aggregation Functions in Pandas Dataframes

142 - Advanced Aggregation Functions Aggregate Function

143 - Advanced Aggregation Functions Filter Function

144 - Advanced Aggregation Functions Transform Function

145 - Advanced Aggregation Functions Apply Function

146 - Examining the Data Set 3

147 - Pivot Tables in Pandas Library

148 - Accessing and Making Files Available

149 - Data Entry with Csv and Txt Files

150 - Data Entry with Excel Files

151 - Outputting as an CSV Extension

152 - Outputting as an Excel File

22 - Optional Recap Exercises and Bonus Info from the Pandas Library

20 - DATA SCIENCE Quiz.html

153 - What is Pandas

154 - Series and Features in Pandas

155 - Data Frame attributes and Methods Part I in Pandas

156 - Data Frame attributes and Methods Part II in Pandas

157 - Data Frame attributes and Methods Part III in Pandas

158 - Multi Index in Pandas

159 - Groupby Operations in Pandas

160 - Missing Data and Data Munging Part I in Pandas

161 - Missing Data and Data Munging Part II in Pandas

162 - How We Deal with Missing Data

163 - Combining Data Frames Part I in Pandas

164 - Combining Data Frames Part II in Pandas

165 - Sales.rar

165 - Work with Dataset Files in Pandas

23 - Data Visualization

166 - What is Matplotlib

167 - Using Matplotlib

168 - Pyplot Pylab Matplotlib in Data visualization

169 - Figure Subplot and Axes in Data visualization

170 - Figure Customization in Data visualization

171 - Plot Customization in Data visualization

24 - Python For Data Science HandsOn Projects

172 - Analyse Data With Different Data Sets Titanic Project

172 - Project-I.rar

173 - Titanic Project Answers

173 - answers.zip

174 - Project II Bike Sharing

174 - Project-II.rar

175 - Bike Sharing Project Answers

175 - Project-II-answers.rar

176 - Project III Housing and Property Sales

176 - Project-III.rar

177 - Answer for Housing and Property Sales Project

177 - answers.zip

178 - Project IV English Premier League

178 - Project-IV.rar

179 - Answers for English Premier League Project

179 - answers.zip

25 - Extra

180 - Python and Data Science from Scratch With RealLife Exercises.html

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تولید کننده: Udemy