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

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Title: Udemy - TheGroup: NOGRPSource: Udemy
Info Hash
96D4638223B74AA29DC773FDC53582957DFCDBE7
Source
Unverified
Total Size
6.4 GB
Total Files
100
Seeders
2
Leechers
0
Health
2.00
Score
4
Type
Bookware

File List

FileSize
1 - Getting Started/1 - Course Introduction.mp427.26 MB
1 - Getting Started/2 - How To Get Most Out Of This Course.mp48.1 MB
1 - Getting Started/3 - Better To Know These Things.mp416.74 MB
1 - Getting Started/4 - How To Install Python IPython And Jupyter Notebook.mp461.96 MB
1 - Getting Started/5 - How To Install Anaconda For macOS And Linux Users.mp470.71 MB
1 - Getting Started/6 - How To Work With The Jupyter Notebook Part1.mp478 MB
1 - Getting Started/7 - How To Work With The Jupyter Notebook Part2.mp466.5 MB
1 - Getting Started/7 - Softwares-Needed.zip45.61 MB
10 - Time Series Analysis/84 - Theory On Time Series Analysis.mp445.12 MB
10 - Time Series Analysis/85 - Introduction To Time Series Data Types.mp459.84 MB
10 - Time Series Analysis/86 - How To Convert Between String And Datetime.mp495 MB
10 - Time Series Analysis/87 - Time Series Basics With Pandas Objects.mp485.15 MB
10 - Time Series Analysis/88 - Date Ranges Frequencies And Shifting.mp488.67 MB
10 - Time Series Analysis/89 - Date Ranges Frequencies And Shifting Part 2.mp473.95 MB
10 - Time Series Analysis/90 - Time Zone Handling.mp460.3 MB
10 - Time Series Analysis/91 - Periods And Period Arithmetics.mp466.15 MB
10 - Time Series Analysis/92 - PracticePart08.mp420.66 MB
10 - Time Series Analysis/93 - PracticePart08 Solution.mp4106.52 MB
11 - How To Analyse With The Part of Real Life Projects/100 - Project3 Description.mp418.45 MB
11 - How To Analyse With The Part of Real Life Projects/101 - Project3 Solution Part 1.mp4107.7 MB
11 - How To Analyse With The Part of Real Life Projects/102 - Project3 Solution Part 2.mp4121.04 MB
11 - How To Analyse With The Part of Real Life Projects/103 - Project Assignment.html1.42 KB
11 - How To Analyse With The Part of Real Life Projects/94 - A Brief Introduction To The Pandas Projects.mp448.99 MB
11 - How To Analyse With The Part of Real Life Projects/94 - Pandas-Project-Session.zip5.54 MB
11 - How To Analyse With The Part of Real Life Projects/95 - Project1 Description.mp443.3 MB
11 - How To Analyse With The Part of Real Life Projects/96 - Project1 Solution Part 1.mp4159.77 MB
11 - How To Analyse With The Part of Real Life Projects/97 - Project1 Solution Part 2.mp4123.4 MB
11 - How To Analyse With The Part of Real Life Projects/98 - Project2 Description.mp416.61 MB
11 - How To Analyse With The Part of Real Life Projects/99 - Project2 Solution.mp4177.23 MB
2 - Pandas Building Blocks/8 - How To Work With The Tabular Data.mp422.33 MB
2 - Pandas Building Blocks/9 - How To Read The Documentation In Pandas.mp493.85 MB
2 - Pandas Building Blocks/9 - Pandas-Tutorial.zip3.6 MB
3 - PandasData Structures/10 - PDF-Files.zip4.28 MB
3 - PandasData Structures/10 - Theory On Pandas Data Structures.mp431.35 MB
3 - PandasData Structures/11 - How To Construct The Pandas Series.mp461.56 MB
3 - PandasData Structures/12 - How To Construct The DataFrame Objects.mp471.41 MB
3 - PandasData Structures/13 - How To Construct The Pandas Index Objects.mp475.66 MB
3 - PandasData Structures/14 - Pandas-Practice-Session.zip3.87 MB
3 - PandasData Structures/14 - Practice Part 01.mp427.89 MB
3 - PandasData Structures/15 - Practice Part 01 Solution.mp4165.42 MB
4 - Data Indexing And Selection/16 - Theory On Data Indexing And Selection.mp437.59 MB
4 - Data Indexing And Selection/17 - Data Selection In Series Part 1.mp430.38 MB
4 - Data Indexing And Selection/18 - Data Selection In Series Part 2.mp412.43 MB
4 - Data Indexing And Selection/19 - Indexers Loc And Iloc In Series.mp475.05 MB
4 - Data Indexing And Selection/20 - Data Selection In DataFrame Part 1.mp436 MB
4 - Data Indexing And Selection/21 - Data Selection In DataFrame Part 2.mp424.32 MB
4 - Data Indexing And Selection/22 - Accessing Values Using Loc Iloc And Ix In DataFrame Objects.mp466.33 MB
4 - Data Indexing And Selection/23 - Practice Part 02.mp419.21 MB
4 - Data Indexing And Selection/24 - Practice Part 02 Solution.mp495.45 MB
5 - Essential Functionalities/25 - Theory On Essential Functionalities.mp460.68 MB
5 - Essential Functionalities/26 - How To Reindex Pandas Objects.mp477.37 MB
5 - Essential Functionalities/27 - How To Drop Entries From An Axis.mp450.62 MB
5 - Essential Functionalities/28 - Arithmetic And Data Alignment.mp444.35 MB
5 - Essential Functionalities/29 - Arithmetic Methods With Fill Values.mp491.21 MB
5 - Essential Functionalities/30 - Broadcasting In Pandas.mp439.07 MB
5 - Essential Functionalities/31 - Apply And Applymap In Pandas.mp451.89 MB
5 - Essential Functionalities/32 - How To Sort And Rank In Pandas.mp492.23 MB
5 - Essential Functionalities/33 - How To Work With The Duplicated Indices.mp425.3 MB
5 - Essential Functionalities/34 - Summarising And Computing Descriptive Statistics.mp441.33 MB
5 - Essential Functionalities/35 - Unique Values Value Counts And Membership.mp471.35 MB
5 - Essential Functionalities/36 - PracticePart03.mp416.73 MB
5 - Essential Functionalities/37 - PracticePart03 Solution.mp4127.06 MB
6 - Data Handling/38 - Theory On Data Handling.mp429.95 MB
6 - Data Handling/39 - How To Read The Csv Files Part 1.mp4144 MB
6 - Data Handling/40 - How To Read The Csv Files Part 2.mp4109.11 MB
6 - Data Handling/41 - How To Read Text Files In Pieces.mp458.49 MB
6 - Data Handling/42 - How To Export Data In Text Format.mp473.56 MB
6 - Data Handling/43 - How To Use Pythons Csv Module.mp462.72 MB
6 - Data Handling/44 - PracticePart04.mp420.23 MB
6 - Data Handling/45 - PracticePart04 Solution.mp4128.76 MB
7 - Data Cleaning And Preparation/46 - Theory On Data Preprocessing.mp475.66 MB
7 - Data Cleaning And Preparation/47 - How To Handle Missing Values.mp455.71 MB
7 - Data Cleaning And Preparation/48 - How To Filter The Missing Values.mp454.44 MB
7 - Data Cleaning And Preparation/49 - How To Filter The Missing Values Part 2.mp458.54 MB
7 - Data Cleaning And Preparation/50 - How To Remove Duplicate Rows And Values.mp470.32 MB
7 - Data Cleaning And Preparation/51 - How To Replace The Non Null Values.mp453.33 MB
7 - Data Cleaning And Preparation/52 - How To Rename The Axis Labels.mp440.77 MB
7 - Data Cleaning And Preparation/53 - How To Descretize And Bin The Data Part 1.mp4157.89 MB
7 - Data Cleaning And Preparation/54 - How To Filter And Detect The Outliers.mp424.44 MB
7 - Data Cleaning And Preparation/55 - How To Reorder And Select Randomly.mp436.66 MB
7 - Data Cleaning And Preparation/56 - Converting The Categorical Variables Into Dummy Variables.mp462 MB
7 - Data Cleaning And Preparation/57 - How To Use map Method.mp445.38 MB
7 - Data Cleaning And Preparation/58 - How To Manipulate With Strings.mp475.24 MB
7 - Data Cleaning And Preparation/59 - Using Regular Expressions.mp4129.32 MB
7 - Data Cleaning And Preparation/60 - Working With The Vectorized String Functions.mp452.51 MB
7 - Data Cleaning And Preparation/61 - PracticePart05.mp419.42 MB
7 - Data Cleaning And Preparation/62 - PracticePart05 Solution.mp4137.92 MB
8 - Data Wrangling/63 - Theory On Data Wrangling.mp454.18 MB
8 - Data Wrangling/64 - Hierarchical Indexing.mp445.64 MB
8 - Data Wrangling/65 - Hierarchical Indexing Reordering And Sorting.mp438.86 MB
8 - Data Wrangling/66 - Summary Statistics By Level.mp418.26 MB
8 - Data Wrangling/67 - Hierarchical Indexing With DataFrame Columns.mp429.03 MB
8 - Data Wrangling/68 - How To Merge The Pandas Objects.mp4138.46 MB
8 - Data Wrangling/69 - Merging On Row Index.mp488.89 MB
8 - Data Wrangling/70 - How To Concatenate Along An Axis.mp4126 MB
8 - Data Wrangling/71 - How To Combine With Overlap.mp437.48 MB
8 - Data Wrangling/72 - How To Reshape And Pivot Data In Pandas.mp456.77 MB
8 - Data Wrangling/73 - PracticePart06.mp48.41 MB
8 - Data Wrangling/74 - PracticePart06 Solution.mp454.65 MB
9 - Data Grouping And Aggregation/75 - Thoery On Data Groupby And Aggregation.mp425.38 MB

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