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[] Udemy - Data Science Bootcamp with 5 Data Science Projects

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  • 文件大小:13GB
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文件列表

  1. 8. Statistics and Probability/27. Confidence Intervals.mp4 121MB
  2. 2. Python for Data Analysis/18. Time Complexity.mp4 120MB
  3. 2. Python for Data Analysis/22. Insertion and Selection Sort.mp4 120MB
  4. 1. Python Fundamentals/4. Built in Data Types and Type Casting.mp4 120MB
  5. 2. Python for Data Analysis/23. Merge Sort.mp4 115MB
  6. 2. Python for Data Analysis/20. Binary Search.mp4 109MB
  7. 5. Data Cleaning/24. Data Cleaning on Naukri Dataset.mp4 106MB
  8. 1. Python Fundamentals/3. Naming Convention for variables.mp4 102MB
  9. 10. Data Exploration/8. Exploring the Dabl Library.mp4 102MB
  10. 8. Statistics and Probability/8. Permutations and Combinations.mp4 97MB
  11. 2. Python for Data Analysis/19. Linear Search.mp4 95MB
  12. 8. Statistics and Probability/23. Sample Mean and Population Mean.mp4 86MB
  13. 8. Statistics and Probability/10. Quiz Solution.mp4 86MB
  14. 14. Capstone Project 4 Global Cost of Living/4. Extracting Latitude and Longitude from the L.mp4 83MB
  15. 5. Data Cleaning/6. Imputing missing values in a real-time scenario.mp4 83MB
  16. 10. Data Exploration/9. Exploring the Sweetviz Library.mp4 82MB
  17. 8. Statistics and Probability/5. Conditional Probability.mp4 80MB
  18. 3. Python Functions Deep Dive/9. Filter, Map, and Zip Functions.mp4 80MB
  19. 5. Data Cleaning/3. When should we delete the missing values.mp4 80MB
  20. 8. Statistics and Probability/13. Measures of Spread.mp4 79MB
  21. 1. Python Fundamentals/8. Arithmetic and Assignment Operators.mp4 78MB
  22. 11. Capstone Project 1 Players Performance Analysis/5. Data Visualization.mp4 78MB
  23. 15. Capstone Project 5 Customer Segmentation Engine/3. Data Analysis and Visualization.mp4 78MB
  24. 1. Python Fundamentals/5. Scope of Variables.mp4 77MB
  25. 4. Python for Data Science/21. Merging and Concatenating DataFrames.mp4 77MB
  26. 9. Hypothesis Testing/4. P-Value and Level of Significance.mp4 76MB
  27. 8. Statistics and Probability/6. Set Theory.mp4 76MB
  28. 2. Python for Data Analysis/21. Bubble Sort.mp4 76MB
  29. 2. Python for Data Analysis/9. Introduction to Sets.mp4 75MB
  30. 8. Statistics and Probability/4. Basic Probability.mp4 74MB
  31. 11. Capstone Project 1 Players Performance Analysis/3. Data Cleaning.mp4 74MB
  32. 4. Python for Data Science/7. Meta Characters for Regular Expressions.mp4 74MB
  33. 5. Data Cleaning/4. Imputing missing values with the business logic.mp4 74MB
  34. 2. Python for Data Analysis/25. Quiz Solution.mp4 73MB
  35. 8. Statistics and Probability/26. Maximum Likelihood Estimation.mp4 73MB
  36. 8. Statistics and Probability/11. Types of Data.mp4 71MB
  37. 8. Statistics and Probability/29. Quiz Solution.mp4 71MB
  38. 7. Data Visualizations/3. Multivariate Analysis.mp4 71MB
  39. 9. Hypothesis Testing/7. One Sampled T Test.mp4 69MB
  40. 5. Data Cleaning/9. How outliers can be harmful for machine learning models.mp4 69MB
  41. 4. Python for Data Science/20. Indexing, Selecting, and Filtering Data using Pandas.mp4 69MB
  42. 10. Data Exploration/3. Data Profiling.mp4 68MB
  43. 13. Capstone Project 3 Movie Recommender Systems/16. Recommending Similar Genres and Movies.mp4 68MB
  44. 9. Hypothesis Testing/12. One Sampled Z Test.mp4 68MB
  45. 8. Statistics and Probability/12. Measures of Central Tendency.mp4 68MB
  46. 2. Python for Data Analysis/6. Introduction to Dictionaries.mp4 67MB
  47. 8. Statistics and Probability/25. Bias and Variance.mp4 66MB
  48. 1. Python Fundamentals/18. If, elif, and else.mp4 66MB
  49. 1. Python Fundamentals/1. Why should you learn Python.mp4 66MB
  50. 4. Python for Data Science/18. Reading Datasets using Pandas.mp4 66MB
  51. 5. Data Cleaning/1. Causes and Impact of Missing Values.mp4 64MB
  52. 8. Statistics and Probability/16. Quiz Solution.mp4 64MB
  53. 5. Data Cleaning/10. Finding out outliers from the data.mp4 63MB
  54. 3. Python Functions Deep Dive/18. Solving the Fibonacci Problem using Recursion.mp4 63MB
  55. 1. Python Fundamentals/9. Comparison, Logical, and Bitwise Operators.mp4 62MB
  56. 3. Python Functions Deep Dive/23. Encapsulation.mp4 62MB
  57. 15. Capstone Project 5 Customer Segmentation Engine/4. KMeans Clustering Analysis.mp4 62MB
  58. 8. Statistics and Probability/3. Applications of Probability in Real Life.mp4 62MB
  59. 5. Data Cleaning/2. Types of Missing Values.mp4 62MB
  60. 5. Data Cleaning/12. Deleting and Capping the outliers.mp4 61MB
  61. 13. Capstone Project 3 Movie Recommender Systems/13. Comparing Critically acclaimed Actors.mp4 61MB
  62. 2. Python for Data Analysis/8. Nested Dictionaries.mp4 60MB
  63. 8. Statistics and Probability/22. Quiz Solution.mp4 60MB
  64. 8. Statistics and Probability/7. Bayes' Theorem.mp4 59MB
  65. 2. Python for Data Analysis/10. Set Operations.mp4 59MB
  66. 4. Python for Data Science/17. Quiz Solution.mp4 58MB
  67. 7. Data Visualizations/1. Univariate Analysis.mp4 57MB
  68. 8. Statistics and Probability/24. Central Limit Theorem.mp4 57MB
  69. 5. Data Cleaning/15. Quiz Solution.mp4 56MB
  70. 4. Python for Data Science/10. Sets for Regular Expressions.mp4 56MB
  71. 14. Capstone Project 4 Global Cost of Living/7. Top N and Bottom N Analysis.mp4 56MB
  72. 5. Data Cleaning/5. Imputing missing values with MeanMedianMode.mp4 56MB
  73. 10. Data Exploration/13. Quiz Solution.mp4 56MB
  74. 3. Python Functions Deep Dive/17. Solving the Factorial Problem using Recursion.mp4 55MB
  75. 9. Hypothesis Testing/2. Null Hypothesis and Alternate Hypothesis.mp4 55MB
  76. 8. Statistics and Probability/18. Introduction to Normal Distribution.mp4 55MB
  77. 10. Data Exploration/2. Course curriculum walkthrough.mp4 55MB
  78. 4. Python for Data Science/24. Quiz Solution.mp4 55MB
  79. 3. Python Functions Deep Dive/10. List, set, and Dictionary Comprehensions.mp4 55MB
  80. 6. Query Analysis/12. Quiz Solution.mp4 54MB
  81. 3. Python Functions Deep Dive/2. Default Parameters in Functions.mp4 54MB
  82. 7. Data Visualizations/29. Quiz Solution.mp4 54MB
  83. 15. Capstone Project 5 Customer Segmentation Engine/1. Understanding the Problem Statement.mp4 54MB
  84. 3. Python Functions Deep Dive/8. Lambda Functions.mp4 53MB
  85. 1. Python Fundamentals/17. Quiz Solution.mp4 53MB
  86. 1. Python Fundamentals/19. For and While.mp4 53MB
  87. 12. Capstone Project 2 Startups Case Study and Analysis/4. Querying the data using Visualizations Part - 1.mp4 53MB
  88. 11. Capstone Project 1 Players Performance Analysis/1. Understanding the problem statement.mp4 53MB
  89. 12. Capstone Project 2 Startups Case Study and Analysis/3. Data Cleaning.mp4 53MB
  90. 9. Hypothesis Testing/6. Quiz Solution.mp4 53MB
  91. 9. Hypothesis Testing/1. What is Hypothesis Testing.mp4 52MB
  92. 11. Capstone Project 1 Players Performance Analysis/6. Query Analysis.mp4 52MB
  93. 13. Capstone Project 3 Movie Recommender Systems/4. Missing Values Imputation.mp4 52MB
  94. 6. Query Analysis/1. Aggregate functions used for Grouping.mp4 52MB
  95. 14. Capstone Project 4 Global Cost of Living/13. Analysing Cost of Essential Items.mp4 52MB
  96. 1. Python Fundamentals/13. String Formatting.mp4 51MB
  97. 13. Capstone Project 3 Movie Recommender Systems/6. Manipulating the Duration and Language Column.mp4 51MB
  98. 10. Data Exploration/4. Analyzing Target Data.mp4 51MB
  99. 4. Python for Data Science/13. Array Creation using Numpy.mp4 51MB
  100. 5. Data Cleaning/13. Dealing with outliers in a real-world scenario.mp4 51MB
  101. 5. Data Cleaning/11. Using Winsorization to deal with outliers.mp4 50MB
  102. 12. Capstone Project 2 Startups Case Study and Analysis/1. Understanding the Problem Statement.mp4 50MB
  103. 13. Capstone Project 3 Movie Recommender Systems/5. Top 10 Profitable Movies.mp4 50MB
  104. 13. Capstone Project 3 Movie Recommender Systems/7. Extracting the Movie Genres.mp4 50MB
  105. 5. Data Cleaning/8. Quiz Solution.mp4 49MB
  106. 1. Python Fundamentals/22. Quiz Solution.mp4 49MB
  107. 9. Hypothesis Testing/16. One Sampled ANOVA Test.mp4 49MB
  108. 7. Data Visualizations/17. Quiz Solution.mp4 49MB
  109. 2. Python for Data Analysis/13. Introduction to Stacks and Queues.mp4 49MB
  110. 2. Python for Data Analysis/1. Differences between Lists and Tuples.mp4 49MB
  111. 7. Data Visualizations/8. Bar, Line, and Area Charts.mp4 49MB
  112. 13. Capstone Project 3 Movie Recommender Systems/2. Taking a Deep Dive into the Dataset.mp4 48MB
  113. 9. Hypothesis Testing/13. Two Sampled Z Test.mp4 48MB
  114. 10. Data Exploration/6. Quiz Solution.mp4 48MB
  115. 14. Capstone Project 4 Global Cost of Living/12. Ranking Places based on their cost of living.mp4 48MB
  116. 14. Capstone Project 4 Global Cost of Living/1. Setting up Environment.mp4 48MB
  117. 7. Data Visualizations/18. Animation with Bubbleplot.mp4 48MB
  118. 3. Python Functions Deep Dive/7. Quiz Solution.mp4 48MB
  119. 8. Statistics and Probability/20. Using QQ Plots to check Normal Distribution.mp4 48MB
  120. 11. Capstone Project 1 Players Performance Analysis/4. Feature Engineering.mp4 48MB
  121. 13. Capstone Project 3 Movie Recommender Systems/12. Association between IMDB Rating and Duration.mp4 47MB
  122. 14. Capstone Project 4 Global Cost of Living/5. Performing Feature Engineering.mp4 47MB
  123. 7. Data Visualizations/5. Quiz Solution.mp4 47MB
  124. 13. Capstone Project 3 Movie Recommender Systems/15. Recommending Movies based on Languages and Actors.mp4 47MB
  125. 14. Capstone Project 4 Global Cost of Living/14. Analysing Quality of Life.mp4 47MB
  126. 1. Python Fundamentals/7. Quiz Solution.mp4 47MB
  127. 3. Python Functions Deep Dive/24. Polymorhism.mp4 46MB
  128. 13. Capstone Project 3 Movie Recommender Systems/11. Gross Comparison of Long and Short Movies.mp4 46MB
  129. 6. Query Analysis/19. Quiz Solution.mp4 46MB
  130. 14. Capstone Project 4 Global Cost of Living/11. Comparing Lifestyle in Indian Cities.mp4 46MB
  131. 13. Capstone Project 3 Movie Recommender Systems/1. Setting up the Environment.mp4 46MB
  132. 14. Capstone Project 4 Global Cost of Living/6. Comparing Lifestyle in different Countries.mp4 45MB
  133. 14. Capstone Project 4 Global Cost of Living/10. Comparing Some of the Most Popular Countries.mp4 45MB
  134. 7. Data Visualizations/6. Scatter Plots.mp4 45MB
  135. 7. Data Visualizations/2. Bivariate Analysis.mp4 45MB
  136. 5. Data Cleaning/16. Introduction to reindex, set_index, reset_index, and sort_index Functions.mp4 45MB
  137. 9. Hypothesis Testing/11. Quiz Solution.mp4 44MB
  138. 2. Python for Data Analysis/2. Operations on Lists.mp4 44MB
  139. 4. Python for Data Science/6. Quiz Solution.mp4 44MB
  140. 9. Hypothesis Testing/9. Paired Sampled T Test.mp4 44MB
  141. 10. Data Exploration/10. Using Color Gradients for better analysis.mp4 44MB
  142. 1. Python Fundamentals/14. String Methods.mp4 43MB
  143. 3. Python Functions Deep Dive/5. Python Modules.mp4 43MB
  144. 10. Data Exploration/1. Why EDA and how it is useful.mp4 42MB
  145. 13. Capstone Project 3 Movie Recommender Systems/10. Loss and Profit Analysis on English and Foreign Movies.mp4 42MB
  146. 5. Data Cleaning/23. Data Cleaning on Melbourne Housing Dataset.mp4 42MB
  147. 9. Hypothesis Testing/15. Quiz Solution.mp4 42MB
  148. 2. Python for Data Analysis/15. Implementing Stacks andd Queues using Deque.mp4 42MB
  149. 8. Statistics and Probability/14. Measures of Dependence.mp4 41MB
  150. 5. Data Cleaning/20. Introduction to Melt, Explode, and Squeeze Functions.mp4 41MB
  151. 8. Statistics and Probability/19. Concept of Skewness.mp4 41MB
  152. 1. Python Fundamentals/15. User Input.mp4 41MB
  153. 4. Python for Data Science/9. Special Characters for Regular Expressions.mp4 41MB
  154. 1. Python Fundamentals/20. Break and Continue.mp4 41MB
  155. 3. Python Functions Deep Dive/26. Quiz Solution.mp4 40MB
  156. 3. Python Functions Deep Dive/12. Quiz Solution.mp4 40MB
  157. 3. Python Functions Deep Dive/1. Introduction to Functions.mp4 40MB
  158. 9. Hypothesis Testing/8. Two Sampled T Test.mp4 40MB
  159. 10. Data Exploration/11. Best Practices for Data Exploration.mp4 40MB
  160. 4. Python for Data Science/15. Built-in Functions in Numpy.mp4 40MB
  161. 7. Data Visualizations/36. Network Charts.mp4 40MB
  162. 3. Python Functions Deep Dive/21. Introduction to Classes and Objects.mp4 40MB
  163. 2. Python for Data Analysis/17. Quiz Solution.mp4 39MB
  164. 9. Hypothesis Testing/19. Quiz Solution.mp4 39MB
  165. 14. Capstone Project 4 Global Cost of Living/15. Suggesting Better places to live.mp4 39MB
  166. 1. Python Fundamentals/10. Identity and Membership Operators.mp4 39MB
  167. 7. Data Visualizations/32. Funnel Charts.mp4 39MB
  168. 11. Capstone Project 1 Players Performance Analysis/7. Major Learnings from the project.mp4 39MB
  169. 9. Hypothesis Testing/17. Two Sampled ANOVA Test.mp4 39MB
  170. 9. Hypothesis Testing/23. Quiz Solution.mp4 39MB
  171. 7. Data Visualizations/24. Introduction to Ipywidgets.mp4 39MB
  172. 6. Query Analysis/8. Performing Cross Tabulation.mp4 39MB
  173. 7. Data Visualizations/38. Quiz Solution.mp4 38MB
  174. 6. Query Analysis/13. When to perform Filtering Operations.mp4 38MB
  175. 13. Capstone Project 3 Movie Recommender Systems/9. Analysing Which Genre is Most Bankable.mp4 38MB
  176. 14. Capstone Project 4 Global Cost of Living/9. Comparing different Lifestyle Factors.mp4 38MB
  177. 7. Data Visualizations/10. Statistical Charts.mp4 38MB
  178. 5. Data Cleaning/21. Data Cleaning on Big Mart Dataset.mp4 38MB
  179. 2. Python for Data Analysis/12. Quiz Solution.mp4 38MB
  180. 3. Python Functions Deep Dive/16. Quiz Solution.mp4 38MB
  181. 10. Data Exploration/7. Summarizing data.mp4 38MB
  182. 3. Python Functions Deep Dive/20. Quiz Solution.mp4 38MB
  183. 7. Data Visualizations/9. Facet Grids.mp4 38MB
  184. 5. Data Cleaning/18. Introduction to Split and Strip Function.mp4 38MB
  185. 4. Python for Data Science/8. Built-in Functions for Regular Expressions.mp4 38MB
  186. 2. Python for Data Analysis/7. Operations on Dictionaries.mp4 38MB
  187. 4. Python for Data Science/1. Introduction to datetime.mp4 38MB
  188. 5. Data Cleaning/22. Data Cleaning on Movie Dataset.mp4 37MB
  189. 4. Python for Data Science/22. Lambda, Map, and Apply Functions.mp4 37MB
  190. 2. Python for Data Analysis/5. Quiz Solution.mp4 37MB
  191. 9. Hypothesis Testing/20. Goodness of Fit Test.mp4 37MB
  192. 15. Capstone Project 5 Customer Segmentation Engine/5. Major Learnings from the projects.mp4 37MB
  193. 14. Capstone Project 4 Global Cost of Living/2. Understanding the Dataset.mp4 37MB
  194. 14. Capstone Project 4 Global Cost of Living/8. Performing Geo spatial Analysis.mp4 37MB
  195. 2. Python for Data Analysis/14. Implementing Stacks and Queues using Lists.mp4 36MB
  196. 4. Python for Data Science/14. Mathematical Operations using Numpy.mp4 36MB
  197. 3. Python Functions Deep Dive/4. Keyword Arguments.mp4 36MB
  198. 8. Statistics and Probability/17. Continuous vs Discrete Distributions.mp4 36MB
  199. 14. Capstone Project 4 Global Cost of Living/3. Understanding the Problem Statement.mp4 36MB
  200. 4. Python for Data Science/19. Plotting Data in Pandas.mp4 36MB
  201. 6. Query Analysis/15. Advanced Filtering Operations.mp4 36MB
  202. 6. Query Analysis/10. Interactive Grouping Operations.mp4 36MB
  203. 8. Statistics and Probability/1. Why you should learn Statistics and Probability.mp4 35MB
  204. 7. Data Visualizations/12. Subplots.mp4 35MB
  205. 3. Python Functions Deep Dive/14. Introduction to Analytical Functions.mp4 35MB
  206. 7. Data Visualizations/23. Quiz Solution.mp4 35MB
  207. 1. Python Fundamentals/12. Quiz Solution.mp4 34MB
  208. 11. Capstone Project 1 Players Performance Analysis/2. Setting up the Environment.mp4 34MB
  209. 9. Hypothesis Testing/3. Types of Error.mp4 34MB
  210. 7. Data Visualizations/26. Interactive Bivariate Analysis.mp4 34MB
  211. 1. Python Fundamentals/2. Installing Python and Jupyter Notebook.mp4 34MB
  212. 4. Python for Data Science/2. The date and time class.mp4 34MB
  213. 13. Capstone Project 3 Movie Recommender Systems/14. Top Movies based on Gross, and IMDB.mp4 33MB
  214. 13. Capstone Project 3 Movie Recommender Systems/17. Key Takeaways from this Project.mp4 33MB
  215. 7. Data Visualizations/30. Sunburst Charts.mp4 33MB
  216. 5. Data Cleaning/17. Introduction to Replace and Drop level Function.mp4 33MB
  217. 4. Python for Data Science/12. Quiz Solution.mp4 33MB
  218. 13. Capstone Project 3 Movie Recommender Systems/8. Top 10 Most Popular Movies on Social Media.mp4 33MB
  219. 3. Python Functions Deep Dive/22. Inheritance.mp4 32MB
  220. 12. Capstone Project 2 Startups Case Study and Analysis/5. Querying the data using Visualizations Part - 2.mp4 32MB
  221. 3. Python Functions Deep Dive/3. Positional Arguments.mp4 32MB
  222. 9. Hypothesis Testing/21. Test of Independence.mp4 32MB
  223. 7. Data Visualizations/7. Charts with Colorscale.mp4 32MB
  224. 12. Capstone Project 2 Startups Case Study and Analysis/6. Major learning from the Project.mp4 31MB
  225. 7. Data Visualizations/15. Maps.mp4 31MB
  226. 13. Capstone Project 3 Movie Recommender Systems/3. Understanding the Problem Statement.mp4 31MB
  227. 3. Python Functions Deep Dive/13. Introduction to Aggregate Functions.mp4 31MB
  228. 7. Data Visualizations/21. Animation with Choropleth Maps.mp4 31MB
  229. 6. Query Analysis/6. Using Pivot Tables for Grouping Operations.mp4 31MB
  230. 7. Data Visualizations/25. Interactive Univariate Analysis.mp4 30MB
  231. 8. Statistics and Probability/2. Walking through the course Content.mp4 29MB
  232. 7. Data Visualizations/11. Polar Charts.mp4 29MB
  233. 7. Data Visualizations/14. Waffle Charts.mp4 29MB
  234. 7. Data Visualizations/27. Interactive Multivariate Analysis.mp4 29MB
  235. 15. Capstone Project 5 Customer Segmentation Engine/2. Setting up the Environment.mp4 29MB
  236. 6. Query Analysis/5. Visualizing the Groupby Operations.mp4 29MB
  237. 2. Python for Data Analysis/3. Operations on Tuples.mp4 27MB
  238. 6. Query Analysis/2. Using Groupby for Grouping Operations.mp4 27MB
  239. 7. Data Visualizations/19. Animation with Facets.mp4 27MB
  240. 6. Query Analysis/3. Groupby with Idxmax and Idxmin functions.mp4 26MB
  241. 5. Data Cleaning/19. Introduction to Stack, and Unstack Functions.mp4 25MB
  242. 7. Data Visualizations/33. Gantt Charts.mp4 25MB
  243. 7. Data Visualizations/13. 3D Charts.mp4 25MB
  244. 6. Query Analysis/7. Difference between Groupby and Pivot tables.mp4 24MB
  245. 6. Query Analysis/4. Using Color scales for better visualization.mp4 23MB
  246. 7. Data Visualizations/31. Parallel Co-ordinate Charts.mp4 23MB
  247. 6. Query Analysis/9. Visualizing Cross tabulated Data.mp4 23MB
  248. 7. Data Visualizations/20. Animation with Scatter Maps.mp4 23MB
  249. 4. Python for Data Science/3. The datetime class.mp4 23MB
  250. 6. Query Analysis/14. Introduction to Simple Filtering Operations.mp4 22MB
  251. 6. Query Analysis/16. Filtering and Grouping Operations.mp4 22MB
  252. 7. Data Visualizations/35. Tree Maps.mp4 21MB
  253. 12. Capstone Project 2 Startups Case Study and Analysis/2. Setting up the Environment.mp4 21MB
  254. 6. Query Analysis/17. Interactive Filtering Operations.mp4 21MB
  255. 7. Data Visualizations/34. Ternary Charts.mp4 20MB
  256. 4. Python for Data Science/4. The timedelta class.mp4 19MB
  257. 5. Data Cleaning/6.2 fifa.csv 9MB
  258. 1. Python Fundamentals/1.1 Why should we learn Python.pptx 2MB
  259. 2. Python for Data Analysis/13.1 Introduction to Stacks and Queues.pptx 1MB
  260. 2. Python for Data Analysis/18.1 Time Complexity.pptx 1MB
  261. 4. Python for Data Science/21.2 Merging.pptx 1010KB
  262. 5. Data Cleaning/10.3 bigmart.csv 849KB
  263. 5. Data Cleaning/13.2 bigmart.csv 849KB
  264. 1. Python Fundamentals/5.1 Scope of Variables.pptx 840KB
  265. 1. Python Fundamentals/4.1 Built in Data Types and Type Casting.pptx 811KB
  266. 3. Python Functions Deep Dive/17.1 Solving the Factorial Problem using Recursion.pptx 730KB
  267. 3. Python Functions Deep Dive/23.2 Encapsulation.pptx 726KB
  268. 3. Python Functions Deep Dive/18.1 Solving the Fibonacci Problem using Recursion.pptx 720KB
  269. 5. Data Cleaning/13.1 2. Dealing with outliers in a real-world scenario.ipynb 669KB
  270. 5. Data Cleaning/10.2 1. Finding Outliers from the data.ipynb 666KB
  271. 1. Python Fundamentals/3.2 Naming Convention for variables.pptx 600KB
  272. 2. Python for Data Analysis/22.1 Insertion and Selection Sort.pptx 597KB
  273. 2. Python for Data Analysis/21.1 Bubble Sort.pptx 586KB
  274. 2. Python for Data Analysis/20.1 Binary Search.pptx 585KB
  275. 2. Python for Data Analysis/19.1 Linear Search.pptx 583KB
  276. 2. Python for Data Analysis/23.1 Merge Sort.pptx 582KB
  277. 5. Data Cleaning/9.1 Outliers .pptx 582KB
  278. 5. Data Cleaning/12.1 Deleting and Capping Outliers.pptx 582KB
  279. 5. Data Cleaning/1.1 Causes & Impact of Missing Values.pptx 582KB
  280. 3. Python Functions Deep Dive/1.2 Introduction to Functions.pptx 578KB
  281. 5. Data Cleaning/2.1 Types of Missing Values.pptx 578KB
  282. 3. Python Functions Deep Dive/9.1 Filter, Map, and Zip Functions.pptx 577KB
  283. 5. Data Cleaning/11.1 Winsorization.pptx 575KB
  284. 3. Python Functions Deep Dive/8.1 Lambda Functions.pptx 574KB
  285. 5. Data Cleaning/5.1 Mode, Median, Mean.pptx 574KB
  286. 5. Data Cleaning/10.1 Types Of Outliers.pptx 571KB
  287. 3. Python Functions Deep Dive/2.1 Default Parameters in Functions.pptx 571KB
  288. 3. Python Functions Deep Dive/10.1 List, set, and Dictionary Comprehensions.pptx 570KB
  289. 5. Data Cleaning/16.1 Data Manipulation Functions.pptx 567KB
  290. 4. Python for Data Science/22.1 employee.csv 223KB
  291. 5. Data Cleaning/6.1 Imputing missing values.ipynb 114KB
  292. 4. Python for Data Science/19.1 2. Plotting Data in Pandas.ipynb 36KB
  293. 4. Python for Data Science/20.1 3. Indexing, Slicing and Filtering.ipynb 30KB
  294. 4. Python for Data Science/21.1 4. Merging and Concatenating.ipynb 29KB
  295. 15. Capstone Project 5 Customer Segmentation Engine/3. Data Analysis and Visualization.srt 17KB
  296. 4. Python for Data Science/22.2 5. Lambda, Map and Apply functions.ipynb 16KB
  297. 5. Data Cleaning/24. Data Cleaning on Naukri Dataset.srt 13KB
  298. 11. Capstone Project 1 Players Performance Analysis/5. Data Visualization.srt 12KB
  299. 1. Python Fundamentals/8.1 Arithematic and Assignment Operators.ipynb 12KB
  300. 1. Python Fundamentals/9.1 Comparison, Logical and Bitwise Operators.ipynb 11KB
  301. 15. Capstone Project 5 Customer Segmentation Engine/4. KMeans Clustering Analysis.srt 9KB
  302. 1. Python Fundamentals/8. Arithmetic and Assignment Operators.srt 8KB
  303. 5. Data Cleaning/10. Finding out outliers from the data.srt 8KB
  304. 4. Python for Data Science/18.2 1. Reading Datasets using Pandas.ipynb 8KB
  305. 2. Python for Data Analysis/25. Quiz Solution.srt 8KB
  306. 1. Python Fundamentals/9. Comparison, Logical, and Bitwise Operators.srt 7KB
  307. 8. Statistics and Probability/27. Confidence Intervals.srt 7KB
  308. 2. Python for Data Analysis/22. Insertion and Selection Sort.srt 7KB
  309. 11. Capstone Project 1 Players Performance Analysis/3. Data Cleaning.srt 7KB
  310. 10. Data Exploration/3. Data Profiling.srt 7KB
  311. 8. Statistics and Probability/8. Permutations and Combinations.srt 7KB
  312. 5. Data Cleaning/6. Imputing missing values in a real-time scenario.srt 7KB
  313. 3. Python Functions Deep Dive/9. Filter, Map, and Zip Functions.srt 7KB
  314. 10. Data Exploration/8. Exploring the Dabl Library.srt 7KB
  315. 1. Python Fundamentals/4. Built in Data Types and Type Casting.srt 7KB
  316. 14. Capstone Project 4 Global Cost of Living/4. Extracting Latitude and Longitude from the L.srt 6KB
  317. 2. Python for Data Analysis/18. Time Complexity.srt 6KB
  318. 2. Python for Data Analysis/23. Merge Sort.srt 6KB
  319. 8. Statistics and Probability/10. Quiz Solution.srt 6KB
  320. 1. Python Fundamentals/3. Naming Convention for variables.srt 6KB
  321. 1. Python Fundamentals/14. String Methods.srt 6KB
  322. 12. Capstone Project 2 Startups Case Study and Analysis/4. Querying the data using Visualizations Part - 1.srt 6KB
  323. 12. Capstone Project 2 Startups Case Study and Analysis/3. Data Cleaning.srt 6KB
  324. 2. Python for Data Analysis/20. Binary Search.srt 6KB
  325. 3. Python Functions Deep Dive/5.1 Python Modules.ipynb 6KB
  326. 11. Capstone Project 1 Players Performance Analysis/6. Query Analysis.srt 6KB
  327. 8. Statistics and Probability/23. Sample Mean and Population Mean.srt 6KB
  328. 8. Statistics and Probability/29. Quiz Solution.srt 6KB
  329. 10. Data Exploration/9. Exploring the Sweetviz Library.srt 5KB
  330. 7. Data Visualizations/3. Multivariate Analysis.srt 5KB
  331. 1. Python Fundamentals/7. Quiz Solution.srt 5KB
  332. 1. Python Fundamentals/19. For and While.srt 5KB
  333. 8. Statistics and Probability/13. Measures of Spread.srt 5KB
  334. 2. Python for Data Analysis/12. Quiz Solution.srt 5KB
  335. 4. Python for Data Science/7. Meta Characters for Regular Expressions.srt 5KB
  336. 8. Statistics and Probability/16. Quiz Solution.srt 5KB
  337. 8. Statistics and Probability/4. Basic Probability.srt 5KB
  338. 4. Python for Data Science/18.1 Iris.csv 5KB
  339. 4. Python for Data Science/19.2 Iris.csv 5KB
  340. 8. Statistics and Probability/6. Set Theory.srt 5KB
  341. 4. Python for Data Science/21. Merging and Concatenating DataFrames.srt 5KB
  342. 3. Python Functions Deep Dive/7. Quiz Solution.srt 5KB
  343. 7. Data Visualizations/8. Bar, Line, and Area Charts.srt 5KB
  344. 7. Data Visualizations/10. Statistical Charts.srt 5KB
  345. 14. Capstone Project 4 Global Cost of Living/7. Top N and Bottom N Analysis.srt 5KB
  346. 9. Hypothesis Testing/6. Quiz Solution.srt 5KB
  347. 9. Hypothesis Testing/7. One Sampled T Test.srt 5KB
  348. 5. Data Cleaning/8. Quiz Solution.srt 5KB
  349. 8. Statistics and Probability/5. Conditional Probability.srt 5KB
  350. 1. Python Fundamentals/13. String Formatting.srt 5KB
  351. 1. Python Fundamentals/14.1 String Methods.ipynb 5KB
  352. 7. Data Visualizations/1. Univariate Analysis.srt 5KB
  353. 2. Python for Data Analysis/10. Set Operations.srt 5KB
  354. 2. Python for Data Analysis/6. Introduction to Dictionaries.srt 5KB
  355. 2. Python for Data Analysis/9.1 Introduction to Sets.ipynb 5KB
  356. 2. Python for Data Analysis/19. Linear Search.srt 5KB
  357. 5. Data Cleaning/16. Introduction to reindex, set_index, reset_index, and sort_index Functions.srt 5KB
  358. 9. Hypothesis Testing/12. One Sampled Z Test.srt 4KB
  359. 2. Python for Data Analysis/9. Introduction to Sets.srt 4KB
  360. 4. Python for Data Science/20. Indexing, Selecting, and Filtering Data using Pandas.srt 4KB
  361. 11. Capstone Project 1 Players Performance Analysis/4. Feature Engineering.srt 4KB
  362. 4. Python for Data Science/24. Quiz Solution.srt 4KB
  363. 4. Python for Data Science/7.1 1. Meta Characters for Regular Expressions.ipynb 4KB
  364. 3. Python Functions Deep Dive/2. Default Parameters in Functions.srt 4KB
  365. 7. Data Visualizations/29. Quiz Solution.srt 4KB
  366. 8. Statistics and Probability/26. Maximum Likelihood Estimation.srt 4KB
  367. 5. Data Cleaning/15. Quiz Solution.srt 4KB
  368. 4. Python for Data Science/17. Quiz Solution.srt 4KB
  369. 1. Python Fundamentals/17. Quiz Solution.srt 4KB
  370. 9. Hypothesis Testing/4. P-Value and Level of Significance.srt 4KB
  371. 4. Python for Data Science/14.1 2. Mathematical functions using Numpy.ipynb 4KB
  372. 7. Data Visualizations/6. Scatter Plots.srt 4KB
  373. 2. Python for Data Analysis/2. Operations on Lists.srt 4KB
  374. 1. Python Fundamentals/22. Quiz Solution.srt 4KB
  375. 8. Statistics and Probability/11. Types of Data.srt 4KB
  376. 8. Statistics and Probability/22. Quiz Solution.srt 4KB
  377. 5. Data Cleaning/3. When should we delete the missing values.srt 4KB
  378. 6. Query Analysis/12. Quiz Solution.srt 4KB
  379. 7. Data Visualizations/17. Quiz Solution.srt 4KB
  380. 10. Data Exploration/13. Quiz Solution.srt 4KB
  381. 13. Capstone Project 3 Movie Recommender Systems/16. Recommending Similar Genres and Movies.srt 4KB
  382. 7. Data Visualizations/38. Quiz Solution.srt 4KB
  383. 1. Python Fundamentals/5. Scope of Variables.srt 4KB
  384. 6. Query Analysis/1. Aggregate functions used for Grouping.srt 4KB
  385. 2. Python for Data Analysis/8. Nested Dictionaries.srt 4KB
  386. 3. Python Functions Deep Dive/10. List, set, and Dictionary Comprehensions.srt 4KB
  387. 6. Query Analysis/19. Quiz Solution.srt 4KB
  388. 7. Data Visualizations/5. Quiz Solution.srt 4KB
  389. 2. Python for Data Analysis/8.1 Nested Dictionaries.ipynb 4KB
  390. 1. Python Fundamentals/12. Quiz Solution.srt 4KB
  391. 10. Data Exploration/4. Analyzing Target Data.srt 4KB
  392. 3. Python Functions Deep Dive/20. Quiz Solution.srt 4KB
  393. 3. Python Functions Deep Dive/12. Quiz Solution.srt 4KB
  394. 5. Data Cleaning/21. Data Cleaning on Big Mart Dataset.srt 4KB
  395. 5. Data Cleaning/20. Introduction to Melt, Explode, and Squeeze Functions.srt 4KB
  396. 2. Python for Data Analysis/7.1 Operations on Dictionaries.ipynb 4KB
  397. 2. Python for Data Analysis/21. Bubble Sort.srt 4KB
  398. 5. Data Cleaning/18. Introduction to Split and Strip Function.srt 4KB
  399. 13. Capstone Project 3 Movie Recommender Systems/13. Comparing Critically acclaimed Actors.srt 4KB
  400. 2. Python for Data Analysis/7. Operations on Dictionaries.srt 4KB
  401. 5. Data Cleaning/9. How outliers can be harmful for machine learning models.srt 4KB
  402. 2. Python for Data Analysis/2.1 Operations on Lists.ipynb 4KB
  403. 8. Statistics and Probability/3. Applications of Probability in Real Life.srt 4KB
  404. 3. Python Functions Deep Dive/23. Encapsulation.srt 4KB
  405. 13. Capstone Project 3 Movie Recommender Systems/15. Recommending Movies based on Languages and Actors.srt 4KB
  406. 5. Data Cleaning/23. Data Cleaning on Melbourne Housing Dataset.srt 4KB
  407. 13. Capstone Project 3 Movie Recommender Systems/11. Gross Comparison of Long and Short Movies.srt 4KB
  408. 4. Python for Data Science/6. Quiz Solution.srt 4KB
  409. 5. Data Cleaning/13. Dealing with outliers in a real-world scenario.srt 4KB
  410. 4. Python for Data Science/10. Sets for Regular Expressions.srt 4KB
  411. 5. Data Cleaning/4. Imputing missing values with the business logic.srt 4KB
  412. 2. Python for Data Analysis/17. Quiz Solution.srt 4KB
  413. 9. Hypothesis Testing/11. Quiz Solution.srt 4KB
  414. 3. Python Functions Deep Dive/14. Introduction to Analytical Functions.srt 4KB
  415. 1. Python Fundamentals/18. If, elif, and else.srt 4KB
  416. 8. Statistics and Probability/25. Bias and Variance.srt 4KB
  417. 1. Python Fundamentals/10.1 Identity and Membership Operators.ipynb 4KB
  418. 3. Python Functions Deep Dive/21. Introduction to Classes and Objects.srt 4KB
  419. 9. Hypothesis Testing/15. Quiz Solution.srt 4KB
  420. 4. Python for Data Science/18. Reading Datasets using Pandas.srt 4KB
  421. 8. Statistics and Probability/12. Measures of Central Tendency.srt 4KB
  422. 10. Data Exploration/6. Quiz Solution.srt 4KB
  423. 2. Python for Data Analysis/5. Quiz Solution.srt 4KB
  424. 5. Data Cleaning/1. Causes and Impact of Missing Values.srt 4KB
  425. 3. Python Functions Deep Dive/21.1 1. Introduction to Classes and Objects.ipynb 4KB
  426. 7. Data Visualizations/2. Bivariate Analysis.srt 4KB
  427. 2. Python for Data Analysis/14.1 Implementing Stacks and Queues using Lists.ipynb 4KB
  428. 10. Data Exploration/10. Using Color Gradients for better analysis.srt 4KB
  429. 13. Capstone Project 3 Movie Recommender Systems/1. Setting up the Environment.srt 4KB
  430. 13. Capstone Project 3 Movie Recommender Systems/9. Analysing Which Genre is Most Bankable.srt 4KB
  431. 7. Data Visualizations/24. Introduction to Ipywidgets.srt 4KB
  432. 8. Statistics and Probability/18. Introduction to Normal Distribution.srt 4KB
  433. 8. Statistics and Probability/7. Bayes' Theorem.srt 4KB
  434. 3. Python Functions Deep Dive/26. Quiz Solution.srt 4KB
  435. 7. Data Visualizations/26. Interactive Bivariate Analysis.srt 4KB
  436. 14. Capstone Project 4 Global Cost of Living/11. Comparing Lifestyle in Indian Cities.srt 4KB
  437. 13. Capstone Project 3 Movie Recommender Systems/4. Missing Values Imputation.srt 3KB
  438. 9. Hypothesis Testing/16. One Sampled ANOVA Test.srt 3KB
  439. 9. Hypothesis Testing/23. Quiz Solution.srt 3KB
  440. 14. Capstone Project 4 Global Cost of Living/13. Analysing Cost of Essential Items.srt 3KB
  441. 4. Python for Data Science/2.1 2. The date and time Class.ipynb 3KB
  442. 2. Python for Data Analysis/1. Differences between Lists and Tuples.srt 3KB
  443. 5. Data Cleaning/12. Deleting and Capping the outliers.srt 3KB
  444. 7. Data Visualizations/23. Quiz Solution.srt 3KB
  445. 14. Capstone Project 4 Global Cost of Living/6. Comparing Lifestyle in different Countries.srt 3KB
  446. 9. Hypothesis Testing/13. Two Sampled Z Test.srt 3KB
  447. 4. Python for Data Science/12. Quiz Solution.srt 3KB
  448. 1. Python Fundamentals/1. Why should you learn Python.srt 3KB
  449. 9. Hypothesis Testing/9. Paired Sampled T Test.srt 3KB
  450. 5. Data Cleaning/2. Types of Missing Values.srt 3KB
  451. 13. Capstone Project 3 Movie Recommender Systems/7. Extracting the Movie Genres.srt 3KB
  452. 3. Python Functions Deep Dive/16. Quiz Solution.srt 3KB
  453. 14. Capstone Project 4 Global Cost of Living/12. Ranking Places based on their cost of living.srt 3KB
  454. 4. Python for Data Science/15.1 3. Bulit-in functions in Numpy.ipynb 3KB
  455. 14. Capstone Project 4 Global Cost of Living/1. Setting up Environment.srt 3KB
  456. 9. Hypothesis Testing/19. Quiz Solution.srt 3KB
  457. 4. Python for Data Science/13.1 1. Array Creation using Numpy.ipynb 3KB
  458. 9. Hypothesis Testing/2. Null Hypothesis and Alternate Hypothesis.srt 3KB
  459. 11. Capstone Project 1 Players Performance Analysis/1. Understanding the problem statement.srt 3KB
  460. 4. Python for Data Science/13. Array Creation using Numpy.srt 3KB
  461. 2. Python for Data Analysis/15.1 Implementing Stacks and Queues using deque.ipynb 3KB
  462. 2. Python for Data Analysis/10.1 Set Operations.ipynb 3KB
  463. 8. Statistics and Probability/24. Central Limit Theorem.srt 3KB
  464. 13. Capstone Project 3 Movie Recommender Systems/5. Top 10 Profitable Movies.srt 3KB
  465. 14. Capstone Project 4 Global Cost of Living/14. Analysing Quality of Life.srt 3KB
  466. 3. Python Functions Deep Dive/9.2 Filter, Map and Zip functions.ipynb 3KB
  467. 5. Data Cleaning/22. Data Cleaning on Movie Dataset.srt 3KB
  468. 7. Data Visualizations/32. Funnel Charts.srt 3KB
  469. 3. Python Functions Deep Dive/17. Solving the Factorial Problem using Recursion.srt 3KB
  470. 13. Capstone Project 3 Movie Recommender Systems/2. Taking a Deep Dive into the Dataset.srt 3KB
  471. 3. Python Functions Deep Dive/18. Solving the Fibonacci Problem using Recursion.srt 3KB
  472. 14. Capstone Project 4 Global Cost of Living/5. Performing Feature Engineering.srt 3KB
  473. 8. Statistics and Probability/20. Using QQ Plots to check Normal Distribution.srt 3KB
  474. 9. Hypothesis Testing/8. Two Sampled T Test.srt 3KB
  475. 12. Capstone Project 2 Startups Case Study and Analysis/1. Understanding the Problem Statement.srt 3KB
  476. 15. Capstone Project 5 Customer Segmentation Engine/1. Understanding the Problem Statement.srt 3KB
  477. 13. Capstone Project 3 Movie Recommender Systems/6. Manipulating the Duration and Language Column.srt 3KB
  478. 4. Python for Data Science/2. The date and time class.srt 3KB
  479. 3. Python Functions Deep Dive/13.1 Introduction to Aggregate functions.ipynb 3KB
  480. 14. Capstone Project 4 Global Cost of Living/8. Performing Geo spatial Analysis.srt 3KB
  481. 6. Query Analysis/8. Performing Cross Tabulation.srt 3KB
  482. 10. Data Exploration/2. Course curriculum walkthrough.srt 3KB
  483. 13. Capstone Project 3 Movie Recommender Systems/12. Association between IMDB Rating and Duration.srt 3KB
  484. 6. Query Analysis/10. Interactive Grouping Operations.srt 3KB
  485. 3. Python Functions Deep Dive/5. Python Modules.srt 3KB
  486. 9. Hypothesis Testing/1. What is Hypothesis Testing.srt 3KB
  487. 5. Data Cleaning/5. Imputing missing values with MeanMedianMode.srt 3KB
  488. 1. Python Fundamentals/15. User Input.srt 3KB
  489. 7. Data Visualizations/12. Subplots.srt 3KB
  490. 1. Python Fundamentals/20. Break and Continue.srt 3KB
  491. 5. Data Cleaning/11. Using Winsorization to deal with outliers.srt 3KB
  492. 4. Python for Data Science/10.1 4. Sets for Regular Expressions.ipynb 3KB
  493. 1. Python Fundamentals/10. Identity and Membership Operators.srt 3KB
  494. 13. Capstone Project 3 Movie Recommender Systems/10. Loss and Profit Analysis on English and Foreign Movies.srt 3KB
  495. 3. Python Functions Deep Dive/8. Lambda Functions.srt 3KB
  496. 1. Python Fundamentals/13.1 String Formatting.ipynb 3KB
  497. 3. Python Functions Deep Dive/4. Keyword Arguments.srt 3KB
  498. 7. Data Visualizations/18. Animation with Bubbleplot.srt 3KB
  499. 14. Capstone Project 4 Global Cost of Living/10. Comparing Some of the Most Popular Countries.srt 3KB
  500. 3. Python Functions Deep Dive/2.2 Default parameters in functions.ipynb 3KB
  501. 12. Capstone Project 2 Startups Case Study and Analysis/5. Querying the data using Visualizations Part - 2.srt 3KB
  502. 6. Query Analysis/15. Advanced Filtering Operations.srt 3KB
  503. 3. Python Functions Deep Dive/24.1 4. Polymorphism.ipynb 3KB
  504. 2. Python for Data Analysis/14. Implementing Stacks and Queues using Lists.srt 3KB
  505. 4. Python for Data Science/15. Built-in Functions in Numpy.srt 3KB
  506. 4. Python for Data Science/9. Special Characters for Regular Expressions.srt 3KB
  507. 3. Python Functions Deep Dive/4.1 Keyword Arguments.ipynb 3KB
  508. 14. Capstone Project 4 Global Cost of Living/15. Suggesting Better places to live.srt 3KB
  509. 3. Python Functions Deep Dive/14.1 Introduction to Analytical functions.ipynb 3KB
  510. 10. Data Exploration/7. Summarizing data.srt 3KB
  511. 7. Data Visualizations/9. Facet Grids.srt 3KB
  512. 2. Python for Data Analysis/15. Implementing Stacks andd Queues using Deque.srt 3KB
  513. 1. Python Fundamentals/19.1 for and while loop.ipynb 3KB
  514. 3. Python Functions Deep Dive/24. Polymorhism.srt 3KB
  515. 7. Data Visualizations/11. Polar Charts.srt 3KB
  516. 2. Python for Data Analysis/6.1 Introduction to Dictionaries.ipynb 3KB
  517. 7. Data Visualizations/25. Interactive Univariate Analysis.srt 3KB
  518. 7. Data Visualizations/36. Network Charts.srt 3KB
  519. 2. Python for Data Analysis/1.1 Difference between Lists and Tuples.ipynb 3KB
  520. 3. Python Functions Deep Dive/22. Inheritance.srt 3KB
  521. 7. Data Visualizations/15. Maps.srt 3KB
  522. 4. Python for Data Science/8. Built-in Functions for Regular Expressions.srt 3KB
  523. 4. Python for Data Science/14. Mathematical Operations using Numpy.srt 3KB
  524. 3. Python Functions Deep Dive/13. Introduction to Aggregate Functions.srt 3KB
  525. 13. Capstone Project 3 Movie Recommender Systems/14. Top Movies based on Gross, and IMDB.srt 3KB
  526. 6. Query Analysis/2. Using Groupby for Grouping Operations.srt 3KB
  527. 7. Data Visualizations/30. Sunburst Charts.srt 3KB
  528. 5. Data Cleaning/17. Introduction to Replace and Drop level Function.srt 3KB
  529. 9. Hypothesis Testing/20. Goodness of Fit Test.srt 2KB
  530. 3. Python Functions Deep Dive/1. Introduction to Functions.srt 2KB
  531. 6. Query Analysis/5. Visualizing the Groupby Operations.srt 2KB
  532. 6. Query Analysis/6. Using Pivot Tables for Grouping Operations.srt 2KB
  533. 7. Data Visualizations/33. Gantt Charts.srt 2KB
  534. 4. Python for Data Science/9.1 3. Special Characters for Regular Expressions.ipynb 2KB
  535. 9. Hypothesis Testing/21. Test of Independence.srt 2KB
  536. 14. Capstone Project 4 Global Cost of Living/9. Comparing different Lifestyle Factors.srt 2KB
  537. 1. Python Fundamentals/2. Installing Python and Jupyter Notebook.srt 2KB
  538. 4. Python for Data Science/4.1 4. The timedelta class.ipynb 2KB
  539. 8. Statistics and Probability/17. Continuous vs Discrete Distributions.srt 2KB
  540. 7. Data Visualizations/7. Charts with Colorscale.srt 2KB
  541. 4. Python for Data Science/19. Plotting Data in Pandas.srt 2KB
  542. 8. Statistics and Probability/19. Concept of Skewness.srt 2KB
  543. 2. Python for Data Analysis/3. Operations on Tuples.srt 2KB
  544. 14. Capstone Project 4 Global Cost of Living/2. Understanding the Dataset.srt 2KB
  545. 2. Python for Data Analysis/13. Introduction to Stacks and Queues.srt 2KB
  546. 4. Python for Data Science/22. Lambda, Map, and Apply Functions.srt 2KB
  547. 8. Statistics and Probability/14. Measures of Dependence.srt 2KB
  548. 3. Python Functions Deep Dive/3. Positional Arguments.srt 2KB
  549. 7. Data Visualizations/27. Interactive Multivariate Analysis.srt 2KB
  550. 3. Python Functions Deep Dive/23.1 3. Encapsulation.ipynb 2KB
  551. 10. Data Exploration/1. Why EDA and how it is useful.srt 2KB
  552. 6. Query Analysis/13. When to perform Filtering Operations.srt 2KB
  553. 5. Data Cleaning/19. Introduction to Stack, and Unstack Functions.srt 2KB
  554. 4. Python for Data Science/3.1 3. The datetime class.ipynb 2KB
  555. 6. Query Analysis/4. Using Color scales for better visualization.srt 2KB
  556. 15. Capstone Project 5 Customer Segmentation Engine/2. Setting up the Environment.srt 2KB
  557. 4. Python for Data Science/8.1 2. Built-in functions for Regular Expressions.ipynb 2KB
  558. 10. Data Exploration/11. Best Practices for Data Exploration.srt 2KB
  559. 1. Python Fundamentals/3.1 Declaring Variables.ipynb 2KB
  560. 13. Capstone Project 3 Movie Recommender Systems/8. Top 10 Most Popular Movies on Social Media.srt 2KB
  561. 7. Data Visualizations/21. Animation with Choropleth Maps.srt 2KB
  562. 3. Python Functions Deep Dive/10.2 List, Set and Dictionary Comprehensions.ipynb 2KB
  563. 6. Query Analysis/7. Difference between Groupby and Pivot tables.srt 2KB
  564. 7. Data Visualizations/13. 3D Charts.srt 2KB
  565. 2. Python for Data Analysis/3.1 Operations on tuples.ipynb 2KB
  566. 7. Data Visualizations/14. Waffle Charts.srt 2KB
  567. 8. Statistics and Probability/1. Why you should learn Statistics and Probability.srt 2KB
  568. 4. Python for Data Science/1. Introduction to datetime.srt 2KB
  569. 6. Query Analysis/3. Groupby with Idxmax and Idxmin functions.srt 2KB
  570. 9. Hypothesis Testing/3. Types of Error.srt 2KB
  571. 15. Capstone Project 5 Customer Segmentation Engine/5. Major Learnings from the projects.srt 2KB
  572. 11. Capstone Project 1 Players Performance Analysis/7. Major Learnings from the project.srt 2KB
  573. 6. Query Analysis/17. Interactive Filtering Operations.srt 2KB
  574. 7. Data Visualizations/35. Tree Maps.srt 2KB
  575. 1. Python Fundamentals/15.1 User Input.ipynb 2KB
  576. 9. Hypothesis Testing/17. Two Sampled ANOVA Test.srt 2KB
  577. 7. Data Visualizations/19. Animation with Facets.srt 2KB
  578. 14. Capstone Project 4 Global Cost of Living/3. Understanding the Problem Statement.srt 2KB
  579. 7. Data Visualizations/34. Ternary Charts.srt 2KB
  580. 11. Capstone Project 1 Players Performance Analysis/2. Setting up the Environment.srt 2KB
  581. 12. Capstone Project 2 Startups Case Study and Analysis/6. Major learning from the Project.srt 2KB
  582. 7. Data Visualizations/31. Parallel Co-ordinate Charts.srt 2KB
  583. 6. Query Analysis/9. Visualizing Cross tabulated Data.srt 2KB
  584. 13. Capstone Project 3 Movie Recommender Systems/17. Key Takeaways from this Project.srt 2KB
  585. 3. Python Functions Deep Dive/22.1 2. Inheritance.ipynb 2KB
  586. 3. Python Functions Deep Dive/3.1 Positional Arguments.ipynb 2KB
  587. 8. Statistics and Probability/2. Walking through the course Content.srt 2KB
  588. 13. Capstone Project 3 Movie Recommender Systems/3. Understanding the Problem Statement.srt 2KB
  589. 1. Python Fundamentals/4.2 Data Types and Type Casting.ipynb 2KB
  590. 6. Query Analysis/16. Filtering and Grouping Operations.srt 2KB
  591. 1. Python Fundamentals/18.1 if, elif and else.ipynb 2KB
  592. 7. Data Visualizations/20. Animation with Scatter Maps.srt 2KB
  593. 4. Python for Data Science/3. The datetime class.srt 2KB
  594. 1. Python Fundamentals/20.1 Break and continue.ipynb 2KB
  595. 6. Query Analysis/14. Introduction to Simple Filtering Operations.srt 1KB
  596. 12. Capstone Project 2 Startups Case Study and Analysis/2. Setting up the Environment.srt 1KB
  597. 4. Python for Data Science/4. The timedelta class.srt 1KB
  598. 3. Python Functions Deep Dive/1.1 Introduction to functions.ipynb 1KB
  599. 4. Python for Data Science/1.1 1. Introduction to datetime.ipynb 985B
  600. 3. Python Functions Deep Dive/8.2 lambda functions.ipynb 866B
  601. 1. Python Fundamentals/11. Quiz on Operators.html 144B
  602. 1. Python Fundamentals/16. Quiz on Strings.html 144B
  603. 1. Python Fundamentals/21. Quiz on Loops and Conditionals.html 144B
  604. 1. Python Fundamentals/6. Quiz on Variables and Data Types.html 144B
  605. 10. Data Exploration/12. Quiz on Examining Data.html 144B
  606. 10. Data Exploration/5. Quiz on Introduction to EDA.html 144B
  607. 13. Capstone Project 3 Movie Recommender Systems/18. Quiz on Movie Recommender Systems.html 144B
  608. 14. Capstone Project 4 Global Cost of Living/16. Quiz on Global Cost of Living.html 144B
  609. 15. Capstone Project 5 Customer Segmentation Engine/6. Quiz on Customer Segmentation Engine.html 144B
  610. 2. Python for Data Analysis/11. Quiz on Sets and Dictionaries.html 144B
  611. 2. Python for Data Analysis/16. Quiz on Stacks and Queues.html 144B
  612. 2. Python for Data Analysis/24. Quiz on Searching, Sorting, and Time Complexity.html 144B
  613. 2. Python for Data Analysis/4. Quiz on Lists and Tuples.html 144B
  614. 3. Python Functions Deep Dive/11. Quiz on Anonymous Functions.html 144B
  615. 3. Python Functions Deep Dive/15. Quiz on In Built Functions.html 144B
  616. 3. Python Functions Deep Dive/19. Quiz on Recursions.html 144B
  617. 3. Python Functions Deep Dive/25. Quiz on Classes and Objects.html 144B
  618. 3. Python Functions Deep Dive/6. Quiz on Introduction to Functions.html 144B
  619. 4. Python for Data Science/11. Quiz on Regular Expressions.html 144B
  620. 4. Python for Data Science/16. Quiz on Introduction to Numpy.html 144B
  621. 4. Python for Data Science/23. Quiz on Introduction to Pandas.html 144B
  622. 4. Python for Data Science/5. Quiz on Dates and Times.html 144B
  623. 5. Data Cleaning/14. Quiz on Outliers Treatment.html 144B
  624. 5. Data Cleaning/7. Quiz on Missing Values Imputation.html 144B
  625. 6. Query Analysis/11. Quiz on Grouping Operations.html 144B
  626. 6. Query Analysis/18. Quiz on Filtering Operations.html 144B
  627. 7. Data Visualizations/16. Quiz on Advanced Visualizations.html 144B
  628. 7. Data Visualizations/22. Quiz on Animated Visualizations.html 144B
  629. 7. Data Visualizations/28. Quiz on Interactive Visualizations.html 144B
  630. 7. Data Visualizations/37. Quiz on Miscellaneous Charts.html 144B
  631. 7. Data Visualizations/4. Quiz on Basics of Visualization.html 144B
  632. 8. Statistics and Probability/15. Quiz on Descriptive Statistics.html 144B
  633. 8. Statistics and Probability/21. Quiz on Statistical Distributions.html 144B
  634. 8. Statistics and Probability/28. Quiz on Inferential Statistics.html 144B
  635. 8. Statistics and Probability/9. Quiz on Probablity.html 144B
  636. 9. Hypothesis Testing/10. Quiz on Student's T Test.html 144B
  637. 9. Hypothesis Testing/14. Quiz on Z Test.html 144B
  638. 9. Hypothesis Testing/18. Quiz on ANOVA Test.html 144B
  639. 9. Hypothesis Testing/22. Quiz on Chi Squared Test.html 144B
  640. 9. Hypothesis Testing/5. Quiz on Hypothesis Testing.html 144B
  641. 0. Websites you may like/[CourseClub.Me].url 122B
  642. 11. Capstone Project 1 Players Performance Analysis/[CourseClub.Me].url 122B
  643. 5. Data Cleaning/[CourseClub.Me].url 122B
  644. [CourseClub.Me].url 122B
  645. 0. Websites you may like/[GigaCourse.Com].url 49B
  646. 11. Capstone Project 1 Players Performance Analysis/[GigaCourse.Com].url 49B
  647. 5. Data Cleaning/[GigaCourse.Com].url 49B
  648. [GigaCourse.Com].url 49B