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[] Udemy - The Data Analyst Course Complete Data Analyst Bootcamp 2021

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文件列表

  1. 06 Mathematics for Python/069 Why is Linear Algebra Useful.mp4 121MB
  2. 16 pandas DataFrames/150 A Few Comments on Using .loc[] and .iloc[].mp4 106MB
  3. 26 Data Visualization/235 Introduction into Colors and Color Theory.mp4 85MB
  4. 09 Working with Text Files/108 Importing _.json Files.mp4 81MB
  5. 09 Working with Text Files/105 Importing Data with NumPy - .loadtxt() vs genfromtxt().mp4 76MB
  6. 09 Working with Text Files/103 Importing _.csv Files with pandas - Part III.mp4 75MB
  7. 22 NumPy - Preprocessing/194 Stacking Ndarrays.mp4 75MB
  8. 25 Solution to the _Absenteeism_ Exercise/221 Splitting the Reasons for Absence into Multiple Dummy Variables.mp4 73MB
  9. 26 Data Visualization/237 Bar Chart - How to Create a Bar Chart Using Python.mp4 70MB
  10. 26 Data Visualization/233 Why Learn Data Visualization_.mp4 70MB
  11. 26 Data Visualization/242 Pie Chart - Why You Should Never Create a Pie Graph.mp4 69MB
  12. 08 Pandas - Basics/085 the pandas Documentation.mp4 68MB
  13. 02 Introduction to Data Analytics/008 Data Analyst Job Description.mp4 68MB
  14. 22 NumPy - Preprocessing/190 Argument Where in NumPy.mp4 66MB
  15. 26 Data Visualization/234 Choosing the Right Visualization – What Are Some Popular Approaches and Framewor.mp4 66MB
  16. 25 Solution to the _Absenteeism_ Exercise/223 Grouping the Reason for Absence Columns.mp4 66MB
  17. 26 Data Visualization/250 Line Chart - How to Make a Good Line Chart.mp4 63MB
  18. 01 Introduction to the Course/002 What Does the Course Cover_.mp4 61MB
  19. 09 Working with Text Files/106 Importing Data with NumPy - Partial Cleaning While Importing.mp4 60MB
  20. 22 NumPy - Preprocessing/188 Sorting Ndarrays.mp4 60MB
  21. 01 Introduction to the Course/001 A Practical Example - What Will You Learn in This Course_.mp4 58MB
  22. 05 Fundamentals for Coding in Python/056 Introduction to Using NumPy and pandas.mp4 58MB
  23. 25 Solution to the _Absenteeism_ Exercise/216 Eyeball Your Data First.mp4 56MB
  24. 11 Must-Know Python Tools/124 List Comprehensions.mp4 55MB
  25. 25 Solution to the _Absenteeism_ Exercise/219 Dropping the 'ID' Column.mp4 55MB
  26. 26 Data Visualization/257 Scatter Plot - How to Create a Scatter Plot Using Python.mp4 53MB
  27. 02 Introduction to Data Analytics/006 Relevant Terms Explained.mp4 53MB
  28. 23 A Loan Data Example with NumPy/210 Manipulating Numeric Data_ Currency Change - From USD to EUR.mp4 53MB
  29. 26 Data Visualization/248 Line Chart - How to Create a Line Chart in Python.mp4 52MB
  30. 19 Working with Arrays/162 Basic Slicing in NumPy.mp4 52MB
  31. 18 NumPy DataTypes/158 ndarrays.mp4 52MB
  32. 23 A Loan Data Example with NumPy/197 Setting Up_ Introduction to the Practical Example.mp4 52MB
  33. 12 Data Gathering_Data Collection/126 What is data gathering_data collection_.mp4 52MB
  34. 22 NumPy - Preprocessing/184 Checking for Missing Values in Ndarrays.mp4 52MB
  35. 09 Working with Text Files/101 Importing _.csv Files with pandas - Part I.mp4 52MB
  36. 08 Pandas - Basics/075 Introduction to the pandas Library.mp4 52MB
  37. 23 A Loan Data Example with NumPy/204 Manipulating Text Data_ Grade and Sub Grade.mp4 51MB
  38. 14 Data Cleaning and Data Preprocessing/139 Data Cleaning and Data Preprocessing.mp4 51MB
  39. 05 Fundamentals for Coding in Python/058 The Python Documentation.mp4 50MB
  40. 08 Pandas - Basics/087 Creating DataFrames from Scratch - Part I.mp4 50MB
  41. 25 Solution to the _Absenteeism_ Exercise/226 Working on the 'Date' Column.mp4 50MB
  42. 26 Data Visualization/261 Regression Plot - How to Create a Regression Scatter Plot Using Python.mp4 50MB
  43. 16 pandas DataFrames/147 Data Selection in pandas DataFrames.mp4 50MB
  44. 26 Data Visualization/244 Stacked Area Chart - How to Create a Stacked Area Chart Using Python.mp4 50MB
  45. 23 A Loan Data Example with NumPy/206 Manipulating Text Data_ State Address.mp4 50MB
  46. 09 Working with Text Files/095 Principles of Importing Data in Python.mp4 49MB
  47. 09 Working with Text Files/099 Importing Text Files in Python ( open() ).mp4 49MB
  48. 09 Working with Text Files/111 An Important Exercise on Importing Data in Python.mp4 49MB
  49. 22 NumPy - Preprocessing/195 Concatenating Ndarrays.mp4 48MB
  50. 10 Working with Text Data/120 Using the .format() Method.mp4 48MB
  51. 18 NumPy DataTypes/160 Strings vs Object vs Number.mp4 47MB
  52. 11 Must-Know Python Tools/123 Triple Nested For Loops.mp4 47MB
  53. 23 A Loan Data Example with NumPy/211 Completing the Dataset.mp4 46MB
  54. 23 A Loan Data Example with NumPy/208 Manipulating Numeric Data_ Substitute Filler Values.mp4 46MB
  55. 02 Introduction to Data Analytics/009 Why Python.mp4 46MB
  56. 26 Data Visualization/265 Bar and Line Chart - How to Create a Combination Bar and Line Graph Using Python.mp4 46MB
  57. 22 NumPy - Preprocessing/192 Casting Ndarrays.mp4 46MB
  58. 22 NumPy - Preprocessing/186 Reshaping Ndarrays.mp4 45MB
  59. 03 Setting up the Environment/011 Programming Explained in a Few Minutes.mp4 45MB
  60. 06 Mathematics for Python/068 Dot Product of Matrices.mp4 44MB
  61. 21 Statistics with NumPy/175 Using Statistical Functions in NumPy.mp4 44MB
  62. 26 Data Visualization/254 Histogram – Choosing the Number of Bins in a Histogram.mp4 44MB
  63. 08 Pandas - Basics/076 Installing and Running pandas.mp4 44MB
  64. 09 Working with Text Files/109 Prelude to Working with Excel Files in Python.mp4 44MB
  65. 21 Statistics with NumPy/180 Histograms in NumPy (Part 1).mp4 44MB
  66. 22 NumPy - Preprocessing/185 Substituting Missing Values in Ndarrays.mp4 43MB
  67. 22 NumPy - Preprocessing/191 Shuffling Ndarrays.mp4 43MB
  68. 08 Pandas - Basics/077 Introduction to pandas Series.mp4 42MB
  69. 25 Solution to the _Absenteeism_ Exercise/227 Extracting the Month Value from the 'Date' Column.mp4 42MB
  70. 15 pandas Series/141 Converting Series into Arrays.mp4 42MB
  71. 16 pandas DataFrames/148 Data Selection - Indexing with .iloc[].mp4 41MB
  72. 05 Fundamentals for Coding in Python/057 What is Software Documentation_.mp4 41MB
  73. 08 Pandas - Basics/088 Creating DataFrames from Scratch - Part II.mp4 41MB
  74. 13 APIs (POST requests are not needed for this course)/134 iTunes API.mp4 41MB
  75. 05 Fundamentals for Coding in Python/054 Modules, Packages, and the Python Standard Library.mp4 40MB
  76. 23 A Loan Data Example with NumPy/203 Manipulating Text Data_ Loan Status and Term.mp4 40MB
  77. 06 Mathematics for Python/061 Linear Algebra and Geometry.mp4 40MB
  78. 03 Setting up the Environment/017 Jupyter - Handling Error Messages.mp4 39MB
  79. 11 Must-Know Python Tools/125 Anonymous (Lambda) Functions.mp4 39MB
  80. 22 NumPy - Preprocessing/189 Argument Sort in NumPy.mp4 38MB
  81. 26 Data Visualization/267 Bar and Line Chart – How to Make a Good Bar and Line Graph.mp4 38MB
  82. 08 Pandas - Basics/081 More on Working with Indices in Python.mp4 38MB
  83. 23 A Loan Data Example with NumPy/198 Setting Up_ Importing the Data Set.mp4 37MB
  84. 26 Data Visualization/262 Regression Plot – Interpreting the Regression Scatter Plot.mp4 37MB
  85. 17 NumPy Fundamentals/154 Types of Data Supported by NumPy.mp4 37MB
  86. 07 NumPy Basics/073 The NumPy Documentation.mp4 37MB
  87. 07 NumPy Basics/070 The NumPy Package and Why We Use It.mp4 37MB
  88. 22 NumPy - Preprocessing/193 Striping Values from Ndarrays.mp4 37MB
  89. 13 APIs (POST requests are not needed for this course)/130 Introducing the Exchange Rates API.mp4 36MB
  90. 20 Generating Data with NumPy/172 Probability Distributions in NumPy.mp4 36MB
  91. 08 Pandas - Basics/082 Using Methods in Python - Part I.mp4 36MB
  92. 21 Statistics with NumPy/176 Minimal and Maximal Values in NumPy.mp4 36MB
  93. 16 pandas DataFrames/145 A Revision to pandas DataFrames.mp4 36MB
  94. 25 Solution to the _Absenteeism_ Exercise/220 Analysis of the 'Reason for Absence' Column.mp4 36MB
  95. 23 A Loan Data Example with NumPy/209 Manipulating Numeric Data_ Currency Change – The Exchange Rate.mp4 36MB
  96. 21 Statistics with NumPy/177 Statistical Order Functions in NumPy.mp4 36MB
  97. 22 NumPy - Preprocessing/196 Finding Unique Values in Ndarrays.mp4 36MB
  98. 26 Data Visualization/240 Pie Chart - How to Create a Pie Chart Using Python.mp4 35MB
  99. 26 Data Visualization/232 What Is Data Visualization and Why Is It Important_.mp4 35MB
  100. 20 Generating Data with NumPy/170 Random Generators and Seeds.mp4 35MB
  101. 09 Working with Text Files/115 Saving Your Data with NumPy - np.save().mp4 35MB
  102. 26 Data Visualization/246 Stacked Area Chart - How to Make a Good Stacked Area Chart.mp4 35MB
  103. 08 Pandas - Basics/078 Working with Attributes in Python.mp4 35MB
  104. 25 Solution to the _Absenteeism_ Exercise/230 Modifying the 'Education' Column.mp4 35MB
  105. 25 Solution to the _Absenteeism_ Exercise/224 Concatenating Columns in a pandas DataFrame.mp4 34MB
  106. 13 APIs (POST requests are not needed for this course)/137 Pagination_ GitHub API.mp4 34MB
  107. 16 pandas DataFrames/146 Common Attributes for Working with DataFrames.mp4 34MB
  108. 19 Working with Arrays/165 Dimensions and the Squeeze Function.mp4 34MB
  109. 23 A Loan Data Example with NumPy/200 Setting Up_ Splitting the Dataset.mp4 33MB
  110. 20 Generating Data with NumPy/173 Applications of Random Data in NumPy.mp4 33MB
  111. 09 Working with Text Files/100 Importing Text Files in Python ( with open() ).mp4 33MB
  112. 26 Data Visualization/249 Line Chart - Interpretation.mp4 33MB
  113. 06 Mathematics for Python/066 Transpose.mp4 33MB
  114. 26 Data Visualization/239 Pie Chart - Introduction - General Theory and Dataset.mp4 33MB
  115. 17 NumPy Fundamentals/155 Characteristics of NumPy Functions Part 1.mp4 33MB
  116. 23 A Loan Data Example with NumPy/205 Manipulating Text Data_ Verification Status & URL.mp4 33MB
  117. 13 APIs (POST requests are not needed for this course)/132 More Functionalities of the Exchange Rates API.mp4 32MB
  118. 09 Working with Text Files/093 Structured vs Semi-Structured and Unstructured Data.mp4 32MB
  119. 13 APIs (POST requests are not needed for this course)/127 Overview of APIs.mp4 32MB
  120. 08 Pandas - Basics/080 Label-based vs Position-based Indexing.mp4 32MB
  121. 18 NumPy DataTypes/159 Arrays vs Lists.mp4 31MB
  122. 03 Setting up the Environment/012 Jupyter - Introduction.mp4 31MB
  123. 15 pandas Series/143 Attribute and Method Chaining.mp4 31MB
  124. 26 Data Visualization/255 Histogram - How to Make a Good Histogram.mp4 31MB
  125. 17 NumPy Fundamentals/151 Indexing in NumPy.mp4 31MB
  126. 23 A Loan Data Example with NumPy/199 Setting Up_ Checking for Incomplete Data.mp4 30MB
  127. 08 Pandas - Basics/084 Parameters vs Arguments.mp4 30MB
  128. 09 Working with Text Files/116 Saving Your Data with NumPy - np.savez().mp4 30MB
  129. 03 Setting up the Environment/013 Jupyter - Installing Anaconda.mp4 30MB
  130. 26 Data Visualization/263 Regression Plot - How to Make a Good Regression Plot.mp4 30MB
  131. 26 Data Visualization/251 Histogram - Introduction - General Theory. Getting to Know the Dataset.mp4 29MB
  132. 11 Must-Know Python Tools/122 Nested For Loops - Introduction.mp4 29MB
  133. 15 pandas Series/144 .sort_index().mp4 29MB
  134. 09 Working with Text Files/096 More on Text Files (_.txt vs _.csv).mp4 29MB
  135. 09 Working with Text Files/091 Working with Files in Python - An Introduction.mp4 29MB
  136. 09 Working with Text Files/094 Data Connectivity through Text Files.mp4 29MB
  137. 06 Mathematics for Python/064 Adding and Subtracting Matrices.mp4 29MB
  138. 09 Working with Text Files/114 Saving Your Data with pandas.mp4 29MB
  139. 13 APIs (POST requests are not needed for this course)/133 Coding a Simple Currency Conversion Calculator.mp4 29MB
  140. 16 pandas DataFrames/149 Data Selection - Indexing with .loc[].mp4 28MB
  141. 02 Introduction to Data Analytics/005 Introduction to the World of Business and Data.mp4 28MB
  142. 19 Working with Arrays/163 Stepwise Slicing in NumPy.mp4 28MB
  143. 26 Data Visualization/252 Histogram - How to Create a Histogram Using Python.mp4 28MB
  144. 26 Data Visualization/259 Scatter Plot - How to Make a Good Scatter Plot.mp4 28MB
  145. 15 pandas Series/140 .unique(), .nunique().mp4 28MB
  146. 08 Pandas - Basics/079 Using an Index in pandas.mp4 28MB
  147. 19 Working with Arrays/164 Conditional Slicing in NumPy.mp4 28MB
  148. 15 pandas Series/142 .sort_values().mp4 28MB
  149. 02 Introduction to Data Analytics/007 Data Analyst Compared to Other Data Jobs.mp4 28MB
  150. 09 Working with Text Files/117 Saving Your Data with NumPy - np.savetxt().mp4 28MB
  151. 20 Generating Data with NumPy/167 Arrays of 0s and 1s.mp4 27MB
  152. 06 Mathematics for Python/059 What Is а Matrix_.mp4 27MB
  153. 26 Data Visualization/264 Bar and Line Chart - Introduction - General Theory. Getting to Know the Dataset.mp4 26MB
  154. 05 Fundamentals for Coding in Python/053 Object-Oriented Programming (OOP).mp4 26MB
  155. 23 A Loan Data Example with NumPy/202 Manipulating Text Data_ Issue Date.mp4 26MB
  156. 09 Working with Text Files/113 A Note on Importing Files in Jupyter.mp4 26MB
  157. 17 NumPy Fundamentals/153 Elementwise Properties of Arrays.mp4 26MB
  158. 20 Generating Data with NumPy/171 Basic Random Functions in NumPy.mp4 26MB
  159. 25 Solution to the _Absenteeism_ Exercise/229 Understanding the Meaning of 5 More Columns.mp4 26MB
  160. 06 Mathematics for Python/060 Scalars and Vectors.mp4 26MB
  161. 25 Solution to the _Absenteeism_ Exercise/217 Note_ Programming vs the Rest of the World.mp4 26MB
  162. 20 Generating Data with NumPy/169 A Non-Random Sequence of Numbers.mp4 26MB
  163. 21 Statistics with NumPy/178 Averages and Variance in NumPy.mp4 25MB
  164. 22 NumPy - Preprocessing/187 Removing Values from Ndarrays.mp4 25MB
  165. 04 Python Basics/033 Conditional Statements - The ELIF Statement.mp4 25MB
  166. 08 Pandas - Basics/086 Introduction to pandas DataFrames.mp4 25MB
  167. 25 Solution to the _Absenteeism_ Exercise/228 Creating the 'Day of the Week' Column.mp4 25MB
  168. 27 Conclusion/269 Conclusion.mp4 25MB
  169. 26 Data Visualization/260 Regression Plot - Introduction - General Theory. Getting to Know the Dataset.mp4 24MB
  170. 26 Data Visualization/243 Stacked Area Chart - Introduction - General Theory. Getting to Know the Dataset.mp4 24MB
  171. 21 Statistics with NumPy/181 Histograms in NumPy (Part 2).mp4 24MB
  172. 04 Python Basics/021 Types of Data - Strings.mp4 24MB
  173. 04 Python Basics/030 Operators - Logical and Identity Operators.mp4 24MB
  174. 13 APIs (POST requests are not needed for this course)/128 GET and POST Requests.mp4 24MB
  175. 09 Working with Text Files/102 Importing _.csv Files with pandas - Part II.mp4 24MB
  176. 04 Python Basics/044 Sequences - List Slicing.mp4 24MB
  177. 06 Mathematics for Python/062 Arrays in Python.mp4 24MB
  178. 09 Working with Text Files/092 File vs File Object, Read vs Parse.mp4 24MB
  179. 03 Setting up the Environment/015 Jupyter - Working with Notebook Files.mp4 24MB
  180. 26 Data Visualization/266 Bar and Line Chart – Interpreting the Combination Bar and Line Graph.mp4 23MB
  181. 26 Data Visualization/258 Scatter Plot – Interpreting the Scatter Plot.mp4 23MB
  182. 26 Data Visualization/245 Stacked Area Chart - Interpreting the Stacked Area Graph.mp4 23MB
  183. 11 Must-Know Python Tools/121 Iterating Over Range Objects.mp4 22MB
  184. 09 Working with Text Files/104 Importing Data with the _index_col_ Parameter.mp4 22MB
  185. 13 APIs (POST requests are not needed for this course)/129 Data Exchange Format for APIs_ JSON.mp4 22MB
  186. 26 Data Visualization/238 Bar Chart – Interpreting the Bar Graph. How to Make a Good Bar Graph.mp4 22MB
  187. 09 Working with Text Files/112 Importing Data with the pandas' _Squeeze_ Parameter.mp4 22MB
  188. 13 APIs (POST requests are not needed for this course)/131 Including Parameters in a GET Request.mp4 22MB
  189. 06 Mathematics for Python/067 Dot Product of Vectors.mp4 22MB
  190. 17 NumPy Fundamentals/156 Characteristics of NumPy Functions Part 2.mp4 21MB
  191. 08 Pandas - Basics/083 Using Methods in Python - Part II.mp4 20MB
  192. 23 A Loan Data Example with NumPy/207 Manipulating Text Data_ Converting Strings and Creating a Checkpoint.mp4 20MB
  193. 26 Data Visualization/256 Scatter Plot - Introduction - General Theory. Getting to Know the Dataset.mp4 20MB
  194. 21 Statistics with NumPy/179 Covariance and Correlation in NumPy.mp4 20MB
  195. 23 A Loan Data Example with NumPy/201 Setting Up_ Creating Checkpoints.mp4 20MB
  196. 06 Mathematics for Python/063 What Is a Tensor_.mp4 20MB
  197. 13 APIs (POST requests are not needed for this course)/136 iTunes API_ Structuring and Exporting the Data.mp4 20MB
  198. 24 The _Absenteeism_ Exercise - Introduction/213 The _Absenteeism_ Exercise from a Business Perspective.mp4 20MB
  199. 17 NumPy Fundamentals/152 Assigning Values in NumPy.mp4 20MB
  200. 21 Statistics with NumPy/182 NAN Equivalent Functions in NumPy.mp4 19MB
  201. 04 Python Basics/046 Sequences - Dictionaries.mp4 19MB
  202. 09 Working with Text Files/098 Common Naming Conventions Used in Programming.mp4 18MB
  203. 25 Solution to the _Absenteeism_ Exercise/215 How to Complete the Absenteeism Exercise.mp4 18MB
  204. 04 Python Basics/036 Functions - Creating a Function with a Parameter.mp4 18MB
  205. 25 Solution to the _Absenteeism_ Exercise/218 Using a Statistical Approach to Solve Our Exercise.mp4 18MB
  206. 04 Python Basics/041 Functions - Notable Built-in Functions in Python.mp4 18MB
  207. 25 Solution to the _Absenteeism_ Exercise/231 Final Remarks on the Absenteeism Exercise.mp4 18MB
  208. 04 Python Basics/042 Sequences - Lists.mp4 18MB
  209. 20 Generating Data with NumPy/168 __like_ functions in NumPy.mp4 17MB
  210. 26 Data Visualization/236 Bar Chart - Introduction - General Theory and Getting to Know the Dataset.mp4 17MB
  211. 03 Setting up the Environment/016 Jupyter - Using Shortcuts.mp4 17MB
  212. 04 Python Basics/043 Sequences - Using Methods.mp4 17MB
  213. 08 Pandas - Basics/089 Additional Notes on Using DataFrames.mp4 17MB
  214. 26 Data Visualization/247 Line Chart - Introduction - General Theory. Getting to Know the Dataset.mp4 17MB
  215. 09 Working with Text Files/110 Working with Excel Data (the _.xlsx Format).mp4 17MB
  216. 26 Data Visualization/253 Histogram – Interpreting the Histogram.mp4 16MB
  217. 07 NumPy Basics/072 Ndarray.mp4 16MB
  218. 04 Python Basics/022 Basic Python Syntax - Arithmetic Operators.mp4 15MB
  219. 26 Data Visualization/241 Pie Chart – Interpreting the Pie Chart.mp4 15MB
  220. 04 Python Basics/049 Iteration - Create Lists with the range() Function.mp4 15MB
  221. 04 Python Basics/019 Python Variables.mp4 14MB
  222. 09 Working with Text Files/097 Fixed-width Files.mp4 14MB
  223. 03 Setting up the Environment/010 Introduction.mp4 14MB
  224. 04 Python Basics/020 Types of Data - Numbers and Boolean Values.mp4 14MB
  225. 04 Python Basics/045 Sequences - Tuples.mp4 14MB
  226. 04 Python Basics/052 Iteration - Iterating over Dictionaries.mp4 13MB
  227. 05 Fundamentals for Coding in Python/055 Importing Modules.mp4 13MB
  228. 04 Python Basics/048 Iteration - While Loops and Incrementing.mp4 13MB
  229. 04 Python Basics/039 Functions - Combining Conditional Statements and Functions.mp4 13MB
  230. 04 Python Basics/050 Iteration - Use Conditional Statements and Loops Together.mp4 13MB
  231. 25 Solution to the _Absenteeism_ Exercise/225 Reordering Columns in a DataFrame.mp4 12MB
  232. 03 Setting up the Environment/014 Jupyter - Intro to Using Jupyter.mp4 12MB
  233. 25 Solution to the _Absenteeism_ Exercise/222 Working with Dummy Variables - A Statistical Perspective.mp4 12MB
  234. 24 The _Absenteeism_ Exercise - Introduction/214 The Dataset.mp4 12MB
  235. 04 Python Basics/047 Iteration - For Loops.mp4 12MB
  236. 04 Python Basics/037 Functions - Another Way to Define a Function.mp4 11MB
  237. 04 Python Basics/032 Conditional Statements - The ELSE Statement.mp4 11MB
  238. 04 Python Basics/031 Conditional Statements - The IF Statement.mp4 11MB
  239. 06 Mathematics for Python/065 Errors When Adding Matrices.mp4 10MB
  240. 24 The _Absenteeism_ Exercise - Introduction/212 An Introduction to the _Absenteeism_ Exercise.mp4 10MB
  241. 07 NumPy Basics/071 Installing_Upgrading NumPy.mp4 9MB
  242. 04 Python Basics/034 Conditional Statements - A Note on Boolean Values.mp4 9MB
  243. 03 Setting up the Environment/018 Jupyter - Restarting the Kernel.mp4 8MB
  244. 04 Python Basics/029 Operators - Comparison Operators.mp4 8MB
  245. 04 Python Basics/051 Iteration - Conditional Statements, Functions, and Loops.mp4 8MB
  246. 04 Python Basics/038 Functions - Using a Function in Another Function.mp4 6MB
  247. 04 Python Basics/035 Functions - Defining a Function in Python.mp4 6MB
  248. 04 Python Basics/040 Functions - Creating Functions That Contain a Few Arguments.mp4 6MB
  249. 04 Python Basics/028 Basic Python Syntax - Indentation.mp4 5MB
  250. 09 Working with Text Files/119 Working with Text Files - Conclusion.mp4 5MB
  251. 04 Python Basics/023 Basic Python Syntax - The Double Equality Sign.mp4 5MB
  252. 04 Python Basics/027 Basic Python Syntax - Indexing Elements.mp4 5MB
  253. 04 Python Basics/025 Basic Python Syntax - Add Comments.mp4 5MB
  254. 04 Python Basics/024 Basic Python Syntax - Reassign Values.mp4 3MB
  255. 04 Python Basics/026 Basic Python Syntax - Line Continuation.mp4 2MB
  256. 09 Working with Text Files/098 Data-Analyst-Common-Naming-Conventions.pdf 644KB
  257. 01 Introduction to the Course/004 FAQ.html 19KB
  258. 16 pandas DataFrames/150 A Few Comments on Using .loc[] and .iloc[].en.srt 17KB
  259. 22 NumPy - Preprocessing/190 Argument Where in NumPy.en.srt 16KB
  260. 09 Working with Text Files/105 Importing Data with NumPy - .loadtxt() vs genfromtxt().en.srt 14KB
  261. 05 Fundamentals for Coding in Python/056 Introduction to Using NumPy and pandas.en.srt 14KB
  262. 19 Working with Arrays/162 Basic Slicing in NumPy.en.srt 14KB
  263. 08 Pandas - Basics/085 the pandas Documentation.en.srt 14KB
  264. 09 Working with Text Files/099 Importing Text Files in Python ( open() ).en.srt 14KB
  265. 26 Data Visualization/237 Bar Chart - How to Create a Bar Chart Using Python.en.srt 14KB
  266. 22 NumPy - Preprocessing/194 Stacking Ndarrays.en.srt 14KB
  267. 22 NumPy - Preprocessing/188 Sorting Ndarrays.en.srt 14KB
  268. 22 NumPy - Preprocessing/184 Checking for Missing Values in Ndarrays.en.srt 13KB
  269. 06 Mathematics for Python/069 Why is Linear Algebra Useful.en.srt 13KB
  270. 10 Working with Text Data/120 Using the .format() Method.en.srt 13KB
  271. 11 Must-Know Python Tools/124 List Comprehensions.en.srt 13KB
  272. 18 NumPy DataTypes/158 ndarrays.en.srt 13KB
  273. 22 NumPy - Preprocessing/185 Substituting Missing Values in Ndarrays.en.srt 12KB
  274. 23 A Loan Data Example with NumPy/204 Manipulating Text Data_ Grade and Sub Grade.en.srt 12KB
  275. 26 Data Visualization/235 Introduction into Colors and Color Theory.en.srt 12KB
  276. 21 Statistics with NumPy/175 Using Statistical Functions in NumPy.en.srt 12KB
  277. 21 Statistics with NumPy/180 Histograms in NumPy (Part 1).en.srt 12KB
  278. 23 A Loan Data Example with NumPy/210 Manipulating Numeric Data_ Currency Change - From USD to EUR.en.srt 11KB
  279. 12 Data Gathering_Data Collection/126 What is data gathering_data collection_.en.srt 11KB
  280. 08 Pandas - Basics/077 Introduction to pandas Series.en.srt 11KB
  281. 23 A Loan Data Example with NumPy/208 Manipulating Numeric Data_ Substitute Filler Values.en.srt 11KB
  282. 25 Solution to the _Absenteeism_ Exercise/221 Splitting the Reasons for Absence into Multiple Dummy Variables.en.srt 11KB
  283. 25 Solution to the _Absenteeism_ Exercise/223 Grouping the Reason for Absence Columns.en.srt 10KB
  284. 16 pandas DataFrames/147 Data Selection in pandas DataFrames.en.srt 10KB
  285. 11 Must-Know Python Tools/125 Anonymous (Lambda) Functions.en.srt 10KB
  286. 22 NumPy - Preprocessing/191 Shuffling Ndarrays.en.srt 10KB
  287. 05 Fundamentals for Coding in Python/058 The Python Documentation.en.srt 10KB
  288. 06 Mathematics for Python/068 Dot Product of Matrices.en.srt 10KB
  289. 26 Data Visualization/242 Pie Chart - Why You Should Never Create a Pie Graph.en.srt 10KB
  290. 09 Working with Text Files/106 Importing Data with NumPy - Partial Cleaning While Importing.en.srt 10KB
  291. 26 Data Visualization/257 Scatter Plot - How to Create a Scatter Plot Using Python.en.srt 10KB
  292. 23 A Loan Data Example with NumPy/203 Manipulating Text Data_ Loan Status and Term.en.srt 10KB
  293. 09 Working with Text Files/103 Importing _.csv Files with pandas - Part III.en.srt 10KB
  294. 18 NumPy DataTypes/160 Strings vs Object vs Number.en.srt 9KB
  295. 26 Data Visualization/234 Choosing the Right Visualization – What Are Some Popular Approaches and Framewor.en.srt 9KB
  296. 21 Statistics with NumPy/177 Statistical Order Functions in NumPy.en.srt 9KB
  297. 26 Data Visualization/250 Line Chart - How to Make a Good Line Chart.en.srt 9KB
  298. 03 Setting up the Environment/017 Jupyter - Handling Error Messages.en.srt 9KB
  299. 23 A Loan Data Example with NumPy/211 Completing the Dataset.en.srt 9KB
  300. 23 A Loan Data Example with NumPy/209 Manipulating Numeric Data_ Currency Change – The Exchange Rate.en.srt 9KB
  301. 21 Statistics with NumPy/176 Minimal and Maximal Values in NumPy.en.srt 9KB
  302. 14 Data Cleaning and Data Preprocessing/139 Data Cleaning and Data Preprocessing.en.srt 9KB
  303. 19 Working with Arrays/165 Dimensions and the Squeeze Function.en.srt 9KB
  304. 09 Working with Text Files/101 Importing _.csv Files with pandas - Part I.en.srt 9KB
  305. 25 Solution to the _Absenteeism_ Exercise/226 Working on the 'Date' Column.en.srt 9KB
  306. 01 Introduction to the Course/002 What Does the Course Cover_.en.srt 9KB
  307. 18 NumPy DataTypes/159 Arrays vs Lists.en.srt 9KB
  308. 26 Data Visualization/265 Bar and Line Chart - How to Create a Combination Bar and Line Graph Using Python.en.srt 9KB
  309. 09 Working with Text Files/111 An Important Exercise on Importing Data in Python.en.srt 9KB
  310. 22 NumPy - Preprocessing/195 Concatenating Ndarrays.en.srt 9KB
  311. 08 Pandas - Basics/087 Creating DataFrames from Scratch - Part I.en.srt 9KB
  312. 17 NumPy Fundamentals/154 Types of Data Supported by NumPy.en.srt 9KB
  313. 02 Introduction to Data Analytics/008 Data Analyst Job Description.en.srt 9KB
  314. 22 NumPy - Preprocessing/186 Reshaping Ndarrays.en.srt 9KB
  315. 11 Must-Know Python Tools/122 Nested For Loops - Introduction.en.srt 9KB
  316. 02 Introduction to Data Analytics/006 Relevant Terms Explained.en.srt 9KB
  317. 08 Pandas - Basics/075 Introduction to the pandas Library.en.srt 9KB
  318. 17 NumPy Fundamentals/151 Indexing in NumPy.en.srt 8KB
  319. 08 Pandas - Basics/086 Introduction to pandas DataFrames.en.srt 8KB
  320. 26 Data Visualization/233 Why Learn Data Visualization_.en.srt 8KB
  321. 26 Data Visualization/248 Line Chart - How to Create a Line Chart in Python.en.srt 8KB
  322. 23 A Loan Data Example with NumPy/206 Manipulating Text Data_ State Address.en.srt 8KB
  323. 11 Must-Know Python Tools/123 Triple Nested For Loops.en.srt 8KB
  324. 25 Solution to the _Absenteeism_ Exercise/227 Extracting the Month Value from the 'Date' Column.en.srt 8KB
  325. 15 pandas Series/141 Converting Series into Arrays.en.srt 8KB
  326. 16 pandas DataFrames/148 Data Selection - Indexing with .iloc[].en.srt 8KB
  327. 26 Data Visualization/244 Stacked Area Chart - How to Create a Stacked Area Chart Using Python.en.srt 8KB
  328. 08 Pandas - Basics/076 Installing and Running pandas.en.srt 8KB
  329. 20 Generating Data with NumPy/167 Arrays of 0s and 1s.en.srt 8KB
  330. 25 Solution to the _Absenteeism_ Exercise/219 Dropping the 'ID' Column.en.srt 8KB
  331. 26 Data Visualization/261 Regression Plot - How to Create a Regression Scatter Plot Using Python.en.srt 8KB
  332. 08 Pandas - Basics/081 More on Working with Indices in Python.en.srt 8KB
  333. 20 Generating Data with NumPy/170 Random Generators and Seeds.en.srt 8KB
  334. 20 Generating Data with NumPy/172 Probability Distributions in NumPy.en.srt 8KB
  335. 22 NumPy - Preprocessing/192 Casting Ndarrays.en.srt 8KB
  336. 03 Setting up the Environment/015 Jupyter - Working with Notebook Files.en.srt 8KB
  337. 08 Pandas - Basics/078 Working with Attributes in Python.en.srt 8KB
  338. 09 Working with Text Files/100 Importing Text Files in Python ( with open() ).en.srt 8KB
  339. 16 pandas DataFrames/145 A Revision to pandas DataFrames.en.srt 8KB
  340. 09 Working with Text Files/095 Principles of Importing Data in Python.en.srt 8KB
  341. 02 Introduction to Data Analytics/009 Why Python.en.srt 8KB
  342. 09 Working with Text Files/108 Importing _.json Files.en.srt 8KB
  343. 09 Working with Text Files/115 Saving Your Data with NumPy - np.save().en.srt 8KB
  344. 22 NumPy - Preprocessing/189 Argument Sort in NumPy.en.srt 8KB
  345. 23 A Loan Data Example with NumPy/202 Manipulating Text Data_ Issue Date.en.srt 7KB
  346. 20 Generating Data with NumPy/169 A Non-Random Sequence of Numbers.en.srt 7KB
  347. 25 Solution to the _Absenteeism_ Exercise/216 Eyeball Your Data First.en.srt 7KB
  348. 04 Python Basics/021 Types of Data - Strings.en.srt 7KB
  349. 08 Pandas - Basics/088 Creating DataFrames from Scratch - Part II.en.srt 7KB
  350. 22 NumPy - Preprocessing/196 Finding Unique Values in Ndarrays.en.srt 7KB
  351. 01 Introduction to the Course/001 A Practical Example - What Will You Learn in This Course_.en.srt 7KB
  352. 26 Data Visualization/254 Histogram – Choosing the Number of Bins in a Histogram.en.srt 7KB
  353. 08 Pandas - Basics/082 Using Methods in Python - Part I.en.srt 7KB
  354. 03 Setting up the Environment/011 Programming Explained in a Few Minutes.en.srt 7KB
  355. 23 A Loan Data Example with NumPy/197 Setting Up_ Introduction to the Practical Example.en.srt 7KB
  356. 26 Data Visualization/240 Pie Chart - How to Create a Pie Chart Using Python.en.srt 7KB
  357. 07 NumPy Basics/073 The NumPy Documentation.en.srt 7KB
  358. 19 Working with Arrays/163 Stepwise Slicing in NumPy.en.srt 7KB
  359. 08 Pandas - Basics/080 Label-based vs Position-based Indexing.en.srt 7KB
  360. 26 Data Visualization/232 What Is Data Visualization and Why Is It Important_.en.srt 7KB
  361. 09 Working with Text Files/096 More on Text Files (_.txt vs _.csv).en.srt 7KB
  362. 19 Working with Arrays/164 Conditional Slicing in NumPy.en.srt 7KB
  363. 23 A Loan Data Example with NumPy/200 Setting Up_ Splitting the Dataset.en.srt 7KB
  364. 04 Python Basics/033 Conditional Statements - The ELIF Statement.en.srt 7KB
  365. 05 Fundamentals for Coding in Python/054 Modules, Packages, and the Python Standard Library.en.srt 7KB
  366. 09 Working with Text Files/116 Saving Your Data with NumPy - np.savez().en.srt 7KB
  367. 26 Data Visualization/255 Histogram - How to Make a Good Histogram.en.srt 7KB
  368. 23 A Loan Data Example with NumPy/205 Manipulating Text Data_ Verification Status & URL.en.srt 7KB
  369. 05 Fundamentals for Coding in Python/057 What is Software Documentation_.en.srt 7KB
  370. 16 pandas DataFrames/146 Common Attributes for Working with DataFrames.en.srt 7KB
  371. 17 NumPy Fundamentals/155 Characteristics of NumPy Functions Part 1.en.srt 7KB
  372. 21 Statistics with NumPy/178 Averages and Variance in NumPy.en.srt 7KB
  373. 17 NumPy Fundamentals/153 Elementwise Properties of Arrays.en.srt 6KB
  374. 15 pandas Series/143 Attribute and Method Chaining.en.srt 6KB
  375. 13 APIs (POST requests are not needed for this course)/133 Coding a Simple Currency Conversion Calculator.en.srt 6KB
  376. 25 Solution to the _Absenteeism_ Exercise/220 Analysis of the 'Reason for Absence' Column.en.srt 6KB
  377. 21 Statistics with NumPy/181 Histograms in NumPy (Part 2).en.srt 6KB
  378. 13 APIs (POST requests are not needed for this course)/130 Introducing the Exchange Rates API.en.srt 6KB
  379. 05 Fundamentals for Coding in Python/053 Object-Oriented Programming (OOP).en.srt 6KB
  380. 08 Pandas - Basics/084 Parameters vs Arguments.en.srt 6KB
  381. 11 Must-Know Python Tools/121 Iterating Over Range Objects.en.srt 6KB
  382. 26 Data Visualization/251 Histogram - Introduction - General Theory. Getting to Know the Dataset.en.srt 6KB
  383. 09 Working with Text Files/098 Common Naming Conventions Used in Programming.en.srt 6KB
  384. 04 Python Basics/030 Operators - Logical and Identity Operators.en.srt 6KB
  385. 13 APIs (POST requests are not needed for this course)/132 More Functionalities of the Exchange Rates API.en.srt 6KB
  386. 13 APIs (POST requests are not needed for this course)/134 iTunes API.en.srt 6KB
  387. 06 Mathematics for Python/062 Arrays in Python.en.srt 6KB
  388. 26 Data Visualization/252 Histogram - How to Create a Histogram Using Python.en.srt 6KB
  389. 15 pandas Series/144 .sort_index().en.srt 6KB
  390. 22 NumPy - Preprocessing/193 Striping Values from Ndarrays.en.srt 6KB
  391. 26 Data Visualization/262 Regression Plot – Interpreting the Regression Scatter Plot.en.srt 6KB
  392. 09 Working with Text Files/091 Working with Files in Python - An Introduction.en.srt 6KB
  393. 06 Mathematics for Python/066 Transpose.en.srt 6KB
  394. 03 Setting up the Environment/013 Jupyter - Installing Anaconda.en.srt 6KB
  395. 08 Pandas - Basics/079 Using an Index in pandas.en.srt 6KB
  396. 20 Generating Data with NumPy/171 Basic Random Functions in NumPy.en.srt 6KB
  397. 20 Generating Data with NumPy/173 Applications of Random Data in NumPy.en.srt 6KB
  398. 23 A Loan Data Example with NumPy/199 Setting Up_ Checking for Incomplete Data.en.srt 6KB
  399. 22 NumPy - Preprocessing/187 Removing Values from Ndarrays.en.srt 6KB
  400. 25 Solution to the _Absenteeism_ Exercise/230 Modifying the 'Education' Column.en.srt 6KB
  401. 07 NumPy Basics/070 The NumPy Package and Why We Use It.en.srt 6KB
  402. 17 NumPy Fundamentals/152 Assigning Values in NumPy.en.srt 6KB
  403. 26 Data Visualization/239 Pie Chart - Introduction - General Theory and Dataset.en.srt 6KB
  404. 16 pandas DataFrames/149 Data Selection - Indexing with .loc[].en.srt 6KB
  405. 13 APIs (POST requests are not needed for this course)/137 Pagination_ GitHub API.en.srt 6KB
  406. 15 pandas Series/142 .sort_values().en.srt 6KB
  407. 15 pandas Series/140 .unique(), .nunique().en.srt 6KB
  408. 09 Working with Text Files/109 Prelude to Working with Excel Files in Python.en.srt 5KB
  409. 23 A Loan Data Example with NumPy/198 Setting Up_ Importing the Data Set.en.srt 5KB
  410. 25 Solution to the _Absenteeism_ Exercise/224 Concatenating Columns in a pandas DataFrame.en.srt 5KB
  411. 26 Data Visualization/246 Stacked Area Chart - How to Make a Good Stacked Area Chart.en.srt 5KB
  412. 26 Data Visualization/267 Bar and Line Chart – How to Make a Good Bar and Line Graph.en.srt 5KB
  413. 04 Python Basics/044 Sequences - List Slicing.en.srt 5KB
  414. 04 Python Basics/049 Iteration - Create Lists with the range() Function.en.srt 5KB
  415. 17 NumPy Fundamentals/156 Characteristics of NumPy Functions Part 2.en.srt 5KB
  416. 09 Working with Text Files/093 Structured vs Semi-Structured and Unstructured Data.en.srt 5KB
  417. 04 Python Basics/042 Sequences - Lists.en.srt 5KB
  418. 09 Working with Text Files/117 Saving Your Data with NumPy - np.savetxt().en.srt 5KB
  419. 20 Generating Data with NumPy/168 __like_ functions in NumPy.en.srt 5KB
  420. 03 Setting up the Environment/016 Jupyter - Using Shortcuts.en.srt 5KB
  421. 13 APIs (POST requests are not needed for this course)/127 Overview of APIs.en.srt 5KB
  422. 05 Fundamentals for Coding in Python/055 Importing Modules.en.srt 5KB
  423. 03 Setting up the Environment/012 Jupyter - Introduction.en.srt 5KB
  424. 09 Working with Text Files/094 Data Connectivity through Text Files.en.srt 5KB
  425. 23 A Loan Data Example with NumPy/207 Manipulating Text Data_ Converting Strings and Creating a Checkpoint.en.srt 5KB
  426. 09 Working with Text Files/113 A Note on Importing Files in Jupyter.en.srt 5KB
  427. 04 Python Basics/019 Python Variables.en.srt 5KB
  428. 09 Working with Text Files/114 Saving Your Data with pandas.en.srt 5KB
  429. 25 Solution to the _Absenteeism_ Exercise/229 Understanding the Meaning of 5 More Columns.en.srt 5KB
  430. 06 Mathematics for Python/059 What Is а Matrix_.en.srt 5KB
  431. 26 Data Visualization/263 Regression Plot - How to Make a Good Regression Plot.en.srt 5KB
  432. 25 Solution to the _Absenteeism_ Exercise/228 Creating the 'Day of the Week' Column.en.srt 5KB
  433. 13 APIs (POST requests are not needed for this course)/131 Including Parameters in a GET Request.en.srt 5KB
  434. 06 Mathematics for Python/067 Dot Product of Vectors.en.srt 4KB
  435. 04 Python Basics/022 Basic Python Syntax - Arithmetic Operators.en.srt 4KB
  436. 04 Python Basics/036 Functions - Creating a Function with a Parameter.en.srt 4KB
  437. 21 Statistics with NumPy/179 Covariance and Correlation in NumPy.en.srt 4KB
  438. 26 Data Visualization/243 Stacked Area Chart - Introduction - General Theory. Getting to Know the Dataset.en.srt 4KB
  439. 04 Python Basics/041 Functions - Notable Built-in Functions in Python.en.srt 4KB
  440. 26 Data Visualization/259 Scatter Plot - How to Make a Good Scatter Plot.en.srt 4KB
  441. 26 Data Visualization/264 Bar and Line Chart - Introduction - General Theory. Getting to Know the Dataset.en.srt 4KB
  442. 04 Python Basics/046 Sequences - Dictionaries.en.srt 4KB
  443. 21 Statistics with NumPy/182 NAN Equivalent Functions in NumPy.en.srt 4KB
  444. 07 NumPy Basics/072 Ndarray.en.srt 4KB
  445. 09 Working with Text Files/092 File vs File Object, Read vs Parse.en.srt 4KB
  446. 25 Solution to the _Absenteeism_ Exercise/217 Note_ Programming vs the Rest of the World.en.srt 4KB
  447. 04 Python Basics/043 Sequences - Using Methods.en.srt 4KB
  448. 06 Mathematics for Python/061 Linear Algebra and Geometry.en.srt 4KB
  449. 26 Data Visualization/249 Line Chart - Interpretation.en.srt 4KB
  450. 06 Mathematics for Python/064 Adding and Subtracting Matrices.en.srt 4KB
  451. 13 APIs (POST requests are not needed for this course)/128 GET and POST Requests.en.srt 4KB
  452. 26 Data Visualization/258 Scatter Plot – Interpreting the Scatter Plot.en.srt 4KB
  453. 06 Mathematics for Python/060 Scalars and Vectors.en.srt 4KB
  454. 09 Working with Text Files/104 Importing Data with the _index_col_ Parameter.en.srt 4KB
  455. 26 Data Visualization/260 Regression Plot - Introduction - General Theory. Getting to Know the Dataset.en.srt 4KB
  456. 04 Python Basics/050 Iteration - Use Conditional Statements and Loops Together.en.srt 4KB
  457. 08 Pandas - Basics/083 Using Methods in Python - Part II.en.srt 4KB
  458. 02 Introduction to Data Analytics/005 Introduction to the World of Business and Data.en.srt 4KB
  459. 06 Mathematics for Python/063 What Is a Tensor_.en.srt 4KB
  460. 13 APIs (POST requests are not needed for this course)/129 Data Exchange Format for APIs_ JSON.en.srt 4KB
  461. 04 Python Basics/052 Iteration - Iterating over Dictionaries.en.srt 4KB
  462. 26 Data Visualization/238 Bar Chart – Interpreting the Bar Graph. How to Make a Good Bar Graph.en.srt 4KB
  463. 03 Setting up the Environment/014 Jupyter - Intro to Using Jupyter.en.srt 4KB
  464. 23 A Loan Data Example with NumPy/201 Setting Up_ Creating Checkpoints.en.srt 4KB
  465. 04 Python Basics/039 Functions - Combining Conditional Statements and Functions.en.srt 4KB
  466. 04 Python Basics/020 Types of Data - Numbers and Boolean Values.en.srt 4KB
  467. 09 Working with Text Files/102 Importing _.csv Files with pandas - Part II.en.srt 4KB
  468. 04 Python Basics/031 Conditional Statements - The IF Statement.en.srt 4KB
  469. 02 Introduction to Data Analytics/007 Data Analyst Compared to Other Data Jobs.en.srt 4KB
  470. 24 The _Absenteeism_ Exercise - Introduction/213 The _Absenteeism_ Exercise from a Business Perspective.en.srt 4KB
  471. 04 Python Basics/047 Iteration - For Loops.en.srt 4KB
  472. 26 Data Visualization/256 Scatter Plot - Introduction - General Theory. Getting to Know the Dataset.en.srt 4KB
  473. 09 Working with Text Files/112 Importing Data with the pandas' _Squeeze_ Parameter.en.srt 4KB
  474. 26 Data Visualization/245 Stacked Area Chart - Interpreting the Stacked Area Graph.en.srt 4KB
  475. 27 Conclusion/269 Conclusion.en.srt 4KB
  476. 04 Python Basics/045 Sequences - Tuples.en.srt 4KB
  477. 26 Data Visualization/266 Bar and Line Chart – Interpreting the Combination Bar and Line Graph.en.srt 3KB
  478. 04 Python Basics/032 Conditional Statements - The ELSE Statement.en.srt 3KB
  479. 25 Solution to the _Absenteeism_ Exercise/215 How to Complete the Absenteeism Exercise.en.srt 3KB
  480. 25 Solution to the _Absenteeism_ Exercise/218 Using a Statistical Approach to Solve Our Exercise.en.srt 3KB
  481. 08 Pandas - Basics/089 Additional Notes on Using DataFrames.en.srt 3KB
  482. 04 Python Basics/034 Conditional Statements - A Note on Boolean Values.en.srt 3KB
  483. 13 APIs (POST requests are not needed for this course)/136 iTunes API_ Structuring and Exporting the Data.en.srt 3KB
  484. 04 Python Basics/037 Functions - Another Way to Define a Function.en.srt 3KB
  485. 04 Python Basics/048 Iteration - While Loops and Incrementing.en.srt 3KB
  486. 09 Working with Text Files/110 Working with Excel Data (the _.xlsx Format).en.srt 3KB
  487. 07 NumPy Basics/071 Installing_Upgrading NumPy.en.srt 3KB
  488. 26 Data Visualization/247 Line Chart - Introduction - General Theory. Getting to Know the Dataset.en.srt 3KB
  489. 03 Setting up the Environment/018 Jupyter - Restarting the Kernel.en.srt 3KB
  490. 25 Solution to the _Absenteeism_ Exercise/231 Final Remarks on the Absenteeism Exercise.en.srt 3KB
  491. 26 Data Visualization/253 Histogram – Interpreting the Histogram.en.srt 3KB
  492. 06 Mathematics for Python/065 Errors When Adding Matrices.en.srt 3KB
  493. 04 Python Basics/029 Operators - Comparison Operators.en.srt 3KB
  494. 04 Python Basics/035 Functions - Defining a Function in Python.en.srt 3KB
  495. 24 The _Absenteeism_ Exercise - Introduction/214 The Dataset.en.srt 2KB
  496. 04 Python Basics/051 Iteration - Conditional Statements, Functions, and Loops.en.srt 2KB
  497. 09 Working with Text Files/097 Fixed-width Files.en.srt 2KB
  498. 04 Python Basics/028 Basic Python Syntax - Indentation.en.srt 2KB
  499. 03 Setting up the Environment/010 Introduction.en.srt 2KB
  500. 26 Data Visualization/236 Bar Chart - Introduction - General Theory and Getting to Know the Dataset.en.srt 2KB
  501. 04 Python Basics/038 Functions - Using a Function in Another Function.en.srt 2KB
  502. 09 Working with Text Files/118 Saving Your Data with NumPy - Exercise.html 2KB
  503. 26 Data Visualization/241 Pie Chart – Interpreting the Pie Chart.en.srt 2KB
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  509. 17 NumPy Fundamentals/157 NumPy Fundamentals - Exercise.html 2KB
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  511. 25 Solution to the _Absenteeism_ Exercise/225 Reordering Columns in a DataFrame.en.srt 2KB
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  514. 04 Python Basics/025 Basic Python Syntax - Add Comments.en.srt 2KB
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  516. 25 Solution to the _Absenteeism_ Exercise/222 Working with Dummy Variables - A Statistical Perspective.en.srt 2KB
  517. 26 Data Visualization/268 Data Visualization - Exercise.html 2KB
  518. 01 Introduction to the Course/003 Download All Resources.html 2KB
  519. 07 NumPy Basics/074 NumPy Basics - Exercise.html 2KB
  520. 04 Python Basics/027 Basic Python Syntax - Indexing Elements.en.srt 2KB
  521. 13 APIs (POST requests are not needed for this course)/138 APIs_ Exercise.html 1KB
  522. 04 Python Basics/024 Basic Python Syntax - Reassign Values.en.srt 1KB
  523. 04 Python Basics/040 Functions - Creating Functions That Contain a Few Arguments.en.srt 1KB
  524. 09 Working with Text Files/external-assets-links.txt 1KB
  525. 04 Python Basics/026 Basic Python Syntax - Line Continuation.en.srt 1KB
  526. 13 APIs (POST requests are not needed for this course)/135 iTunes API_ Homework.html 1KB
  527. 09 Working with Text Files/119 Working with Text Files - Conclusion.en.srt 1KB
  528. 08 Pandas - Basics/external-assets-links.txt 362B
  529. 13 APIs (POST requests are not needed for this course)/external-assets-links.txt 306B
  530. 25 Solution to the _Absenteeism_ Exercise/external-assets-links.txt 274B
  531. 05 Fundamentals for Coding in Python/external-assets-links.txt 268B
  532. 03 Setting up the Environment/external-assets-links.txt 254B
  533. 06 Mathematics for Python/external-assets-links.txt 246B
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  535. 16 pandas DataFrames/external-assets-links.txt 236B
  536. 04 Python Basics/external-assets-links.txt 228B
  537. 15 pandas Series/external-assets-links.txt 228B
  538. 0. Websites you may like/[FCS Forum].url 133B
  539. 24 The _Absenteeism_ Exercise - Introduction/external-assets-links.txt 133B
  540. 23 A Loan Data Example with NumPy/external-assets-links.txt 131B
  541. 0. Websites you may like/[FreeCourseSite.com].url 127B
  542. 20 Generating Data with NumPy/external-assets-links.txt 127B
  543. 10 Working with Text Data/external-assets-links.txt 124B
  544. 0. Websites you may like/[CourseClub.ME].url 122B
  545. 21 Statistics with NumPy/external-assets-links.txt 122B
  546. 19 Working with Arrays/external-assets-links.txt 120B
  547. 22 NumPy - Preprocessing/external-assets-links.txt 120B
  548. 18 NumPy DataTypes/external-assets-links.txt 116B
  549. 07 NumPy Basics/external-assets-links.txt 113B
  550. 17 NumPy Fundamentals/external-assets-links.txt 111B