Udemy - The Complete Data Analyst Bootcamp From Basics To Advanced (5.2025)

• 11 - How To Analyse With The Part of Real Life Projects/99 - Project2 Solution.mp4-177.23 MB
• 3 - PandasData Structures/15 - Practice Part 01 Solution.mp4-165.42 MB
• 11 - How To Analyse With The Part of Real Life Projects/96 - Project1 Solution Part 1.mp4-159.77 MB
• 7 - Data Cleaning And Preparation/53 - How To Descretize And Bin The Data Part 1.mp4-157.89 MB
• 6 - Data Handling/39 - How To Read The Csv Files Part 1.mp4-144 MB
• 8 - Data Wrangling/68 - How To Merge The Pandas Objects.mp4-138.46 MB
• 7 - Data Cleaning And Preparation/62 - PracticePart05 Solution.mp4-137.92 MB
• 7 - Data Cleaning And Preparation/59 - Using Regular Expressions.mp4-129.32 MB
• 6 - Data Handling/45 - PracticePart04 Solution.mp4-128.76 MB
• 5 - Essential Functionalities/37 - PracticePart03 Solution.mp4-127.06 MB
• 8 - Data Wrangling/70 - How To Concatenate Along An Axis.mp4-126 MB
• 11 - How To Analyse With The Part of Real Life Projects/97 - Project1 Solution Part 2.mp4-123.4 MB
• 11 - How To Analyse With The Part of Real Life Projects/102 - Project3 Solution Part 2.mp4-121.04 MB
• 6 - Data Handling/40 - How To Read The Csv Files Part 2.mp4-109.11 MB
• 11 - How To Analyse With The Part of Real Life Projects/101 - Project3 Solution Part 1.mp4-107.7 MB
• 10 - Time Series Analysis/93 - PracticePart08 Solution.mp4-106.52 MB
• 9 - Data Grouping And Aggregation/83 - PracticePart07 Solution.mp4-103.5 MB
• 9 - Data Grouping And Aggregation/76 - Groupby Operation.mp4-102.31 MB
• 4 - Data Indexing And Selection/24 - Practice Part 02 Solution.mp4-95.45 MB
• 10 - Time Series Analysis/86 - How To Convert Between String And Datetime.mp4-95 MB
• 2 - Pandas Building Blocks/9 - How To Read The Documentation In Pandas.mp4-93.85 MB
• 5 - Essential Functionalities/32 - How To Sort And Rank In Pandas.mp4-92.23 MB
• 5 - Essential Functionalities/29 - Arithmetic Methods With Fill Values.mp4-91.21 MB
• 8 - Data Wrangling/69 - Merging On Row Index.mp4-88.89 MB
• 10 - Time Series Analysis/88 - Date Ranges Frequencies And Shifting.mp4-88.67 MB
• 10 - Time Series Analysis/87 - Time Series Basics With Pandas Objects.mp4-85.15 MB
• 1 - Getting Started/6 - How To Work With The Jupyter Notebook Part1.mp4-78 MB
• 5 - Essential Functionalities/26 - How To Reindex Pandas Objects.mp4-77.37 MB
• 3 - PandasData Structures/13 - How To Construct The Pandas Index Objects.mp4-75.66 MB
• 7 - Data Cleaning And Preparation/46 - Theory On Data Preprocessing.mp4-75.66 MB
• 7 - Data Cleaning And Preparation/58 - How To Manipulate With Strings.mp4-75.24 MB
• 4 - Data Indexing And Selection/19 - Indexers Loc And Iloc In Series.mp4-75.05 MB
• 9 - Data Grouping And Aggregation/81 - Data Aggregation.mp4-74.7 MB
• 10 - Time Series Analysis/89 - Date Ranges Frequencies And Shifting Part 2.mp4-73.95 MB
• 6 - Data Handling/42 - How To Export Data In Text Format.mp4-73.56 MB
• 3 - PandasData Structures/12 - How To Construct The DataFrame Objects.mp4-71.41 MB
• 5 - Essential Functionalities/35 - Unique Values Value Counts And Membership.mp4-71.35 MB
• 1 - Getting Started/5 - How To Install Anaconda For macOS And Linux Users.mp4-70.71 MB
• 7 - Data Cleaning And Preparation/50 - How To Remove Duplicate Rows And Values.mp4-70.32 MB
• 1 - Getting Started/7 - How To Work With The Jupyter Notebook Part2.mp4-66.5 MB
• 4 - Data Indexing And Selection/22 - Accessing Values Using Loc Iloc And Ix In DataFrame Objects.mp4-66.33 MB
• 10 - Time Series Analysis/91 - Periods And Period Arithmetics.mp4-66.15 MB
• 6 - Data Handling/43 - How To Use Pythons Csv Module.mp4-62.72 MB
• 7 - Data Cleaning And Preparation/56 - Converting The Categorical Variables Into Dummy Variables.mp4-62 MB
• 1 - Getting Started/4 - How To Install Python IPython And Jupyter Notebook.mp4-61.96 MB
• 3 - PandasData Structures/11 - How To Construct The Pandas Series.mp4-61.56 MB
• 5 - Essential Functionalities/25 - Theory On Essential Functionalities.mp4-60.68 MB
• 10 - Time Series Analysis/90 - Time Zone Handling.mp4-60.3 MB
• 10 - Time Series Analysis/85 - Introduction To Time Series Data Types.mp4-59.84 MB
• 7 - Data Cleaning And Preparation/49 - How To Filter The Missing Values Part 2.mp4-58.54 MB