CBTNuggets - Certified Associate Data Analyst with Python (PCAD™)

Creation Time	Aug. 14, 2026, 7:42 p.m.
Last Access Time	Aug. 14, 2026, 9:07 p.m.
File Size	9.4 GB
Keywords	CBTNuggets PCAD™ Associate Python with - Data Analyst Certified
Total Requests	2
Total Files	1020
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21 - Introduction to Web Scraping with Beautiful Soup/04 - Lesson 04.mp4 73.9 MB
55 - Updating and Deleting Data in SQL/01 - Lesson 01.mp4 73.3 MB
16 - Intermediate Dataset Grouping/01 - Lesson 01.mp4 68.4 MB
24 - CSS Selectors For Web Scraping/04 - Lesson 04.mp4 68.3 MB
15 - The Basics of Pandas Dataset Grouping/01 - Lesson 01.mp4 64.8 MB
60 - Object-Oriented Programming For Data Analysts/02 - Lesson 02.mp4 62.6 MB
13 - Dataset Cleaning in Pandas/03 - Lesson 03.mp4 62.5 MB
19 - Applying Functions in Pandas/01 - Lesson 01.mp4 61.2 MB
61 - PEP Guidelines For Data Analysts/01 - Lesson 01.mp4 60.5 MB
20 - Sorting Pandas Data Structures/03 - Lesson 03.mp4 58.9 MB
58 - SQL Subqueries/02 - Lesson 02.mp4 58.1 MB
22 - Beautiful Soup Types In-Depth/02 - Lesson 02.mp4 56.2 MB
23 - Finding Elements with Beautiful Soup/03 - Lesson 03.mp4 55.3 MB
60 - Object-Oriented Programming For Data Analysts/01 - Lesson 01.mp4 55.3 MB
23 - Finding Elements with Beautiful Soup/01 - Lesson 01.mp4 54.2 MB
34 - Working with Pie Charts in Matplotlib/03 - Lesson 03.mp4 53.8 MB
54 - Managing Data in SQL Tables/03 - Lesson 03.mp4 53.7 MB
49 - Correlation In Statistics/03 - Lesson 03.mp4 53.1 MB
29 - XPath Predicates Basics/03 - Lesson 03.mp4 52.7 MB
14 - An In-Depth Look At Missing Values/03 - Lesson 03.mp4 52.3 MB
55 - Updating and Deleting Data in SQL/02 - Lesson 02.mp4 51.2 MB
30 - Advanced XPath Predicates/03 - Lesson 03.mp4 50.5 MB
53 - SQL Query Fundamentals/03 - Lesson 03.mp4 49.6 MB
24 - CSS Selectors For Web Scraping/03 - Lesson 03.mp4 49.6 MB
12 - Working with Datasets in Pandas/04 - Lesson 04.mp4 49.5 MB
12 - Working with Datasets in Pandas/01 - Lesson 01.mp4 49.1 MB
28 - Intermediate XPath Concepts/01 - Lesson 01.mp4 49.1 MB
13 - Dataset Cleaning in Pandas/04 - Lesson 04.mp4 47.3 MB
30 - Advanced XPath Predicates/01 - Lesson 01.mp4 47.2 MB
55 - Updating and Deleting Data in SQL/04 - Lesson 04.mp4 47.0 MB
29 - XPath Predicates Basics/02 - Lesson 02.mp4 46.3 MB
53 - SQL Query Fundamentals/01 - Lesson 01.mp4 46.0 MB
49 - Correlation In Statistics/04 - Lesson 04.mp4 46.0 MB
20 - Sorting Pandas Data Structures/04 - Lesson 04.mp4 45.9 MB
57 - Aggregates and Grouping in SQL/04 - Lesson 04.mp4 45.8 MB
25 - CSS Combinators for Web-Scraping/03 - Lesson 03.mp4 45.2 MB
60 - Object-Oriented Programming For Data Analysts/03 - Lesson 03.mp4 45.1 MB
37 - Adding Interactivity with Matplotlib Widgets/02 - Lesson 02.mp4 44.9 MB
58 - SQL Subqueries/01 - Lesson 01.mp4 44.9 MB
07 - Basic Data Analysis with Num Py Arrays/01 - Lesson 01.mp4 44.8 MB
17 - Filtering Data in Pandas/02 - Lesson 02.mp4 44.6 MB
12 - Working with Datasets in Pandas/02 - Lesson 02.mp4 44.4 MB
21 - Introduction to Web Scraping with Beautiful Soup/02 - Lesson 02.mp4 44.1 MB
18 - Transforming Data in Pandas/06 - Lesson 06.mp4 43.9 MB
17 - Filtering Data in Pandas/01 - Lesson 01.mp4 43.2 MB
25 - CSS Combinators for Web-Scraping/04 - Lesson 04.mp4 43.0 MB
26 - CSS Pseudo-Classes for Web-Scraping/03 - Lesson 03.mp4 42.6 MB
13 - Dataset Cleaning in Pandas/01 - Lesson 01.mp4 42.6 MB
45 - Machine Learning Algorithms Neural Networks/03 - Lesson 03.mp4 41.8 MB
14 - An In-Depth Look At Missing Values/01 - Lesson 01.mp4 41.8 MB
57 - Aggregates and Grouping in SQL/01 - Lesson 01.mp4 41.8 MB
41 - Working with Seaborn's Categorical Plots/02 - Lesson 02.mp4 41.5 MB
56 - SQL Relationships and Joins/02 - Lesson 02.mp4 41.4 MB
51 - Bootstrapping and Other Inferential Strategies/02 - Lesson 02.mp4 41.4 MB
61 - PEP Guidelines For Data Analysts/06 - Lesson 06.mp4 41.2 MB
06 - Num Py Array Broadcasting In-Depth/02 - Lesson 02.mp4 41.0 MB
40 - Working with Seaborn's Relational Plots/02 - Lesson 02.mp4 41.0 MB
06 - Num Py Array Broadcasting In-Depth/03 - Lesson 03.mp4 41.0 MB
26 - CSS Pseudo-Classes for Web-Scraping/04 - Lesson 04.mp4 40.9 MB
53 - SQL Query Fundamentals/02 - Lesson 02.mp4 40.9 MB
38 - More Matplotlib Widgets/01 - Lesson 01.mp4 40.5 MB
48 - Descriptive Statistics In-Depth/03 - Lesson 03.mp4 40.4 MB
40 - Working with Seaborn's Relational Plots/03 - Lesson 03.mp4 40.3 MB
47 - Basics of Descriptive Statistics/02 - Lesson 02.mp4 40.2 MB
31 - Basics of Data Visualization with Matplotlib/03 - Lesson 03.mp4 40.1 MB
24 - CSS Selectors For Web Scraping/02 - Lesson 02.mp4 39.8 MB
14 - An In-Depth Look At Missing Values/05 - Lesson 05.mp4 39.8 MB
43 - Machine Learning Algorithms Linear Models/03 - Lesson 03.mp4 39.4 MB
15 - The Basics of Pandas Dataset Grouping/02 - Lesson 02.mp4 39.3 MB
15 - The Basics of Pandas Dataset Grouping/03 - Lesson 03.mp4 39.2 MB
47 - Basics of Descriptive Statistics/04 - Lesson 04.mp4 39.1 MB
15 - The Basics of Pandas Dataset Grouping/05 - Lesson 05.mp4 39.1 MB
26 - CSS Pseudo-Classes for Web-Scraping/01 - Lesson 01.mp4 39.0 MB
16 - Intermediate Dataset Grouping/02 - Lesson 02.mp4 38.9 MB
49 - Correlation In Statistics/02 - Lesson 02.mp4 38.6 MB
39 - Introduction to Seaborn/02 - Lesson 02.mp4 38.5 MB
23 - Finding Elements with Beautiful Soup/02 - Lesson 02.mp4 38.5 MB
54 - Managing Data in SQL Tables/04 - Lesson 04.mp4 38.2 MB
19 - Applying Functions in Pandas/04 - Lesson 04.mp4 38.2 MB
46 - Machine Learning Algorithms Classification Trees/04 - Lesson 04.mp4 38.2 MB
32 - Working with Scatterplots in Matplotlib/06 - Lesson 06.mp4 38.1 MB
14 - An In-Depth Look At Missing Values/02 - Lesson 02.mp4 38.0 MB
50 - Inferential Statistics Fundamentals/01 - Lesson 01.mp4 37.8 MB
08 - Num Py's Data Types In-Depth/01 - Lesson 01.mp4 37.7 MB
22 - Beautiful Soup Types In-Depth/03 - Lesson 03.mp4 37.7 MB
42 - Machine Learning Algorithms K-Nearest Neighbor/04 - Lesson 04.mp4 37.1 MB
09 - Basics of Pandas Series/02 - Lesson 02.mp4 37.1 MB
52 - Introduction to SQL For Data Analysts/04 - Lesson 04.mp4 37.0 MB
27 - Introduction to XPath for Web-Scraping/04 - Lesson 04.mp4 37.0 MB
40 - Working with Seaborn's Relational Plots/01 - Lesson 01.mp4 36.7 MB
52 - Introduction to SQL For Data Analysts/01 - Lesson 01.mp4 36.6 MB
38 - More Matplotlib Widgets/03 - Lesson 03.mp4 36.3 MB
20 - Sorting Pandas Data Structures/05 - Lesson 05.mp4 36.2 MB
35 - Statistical Visualization Basics with Matplotlib/02 - Lesson 02.mp4 36.1 MB
16 - Intermediate Dataset Grouping/03 - Lesson 03.mp4 36.1 MB
30 - Advanced XPath Predicates/02 - Lesson 02.mp4 36.0 MB
57 - Aggregates and Grouping in SQL/02 - Lesson 02.mp4 35.8 MB
50 - Inferential Statistics Fundamentals/03 - Lesson 03.mp4 35.8 MB
57 - Aggregates and Grouping in SQL/03 - Lesson 03.mp4 35.7 MB
26 - CSS Pseudo-Classes for Web-Scraping/02 - Lesson 02.mp4 35.7 MB
48 - Descriptive Statistics In-Depth/01 - Lesson 01.mp4 35.6 MB
59 - SQL Transactions and Rollbacks/02 - Lesson 02.mp4 35.5 MB
11 - Generating Random Numbers with Num Py and Pandas/02 - Lesson 02.mp4 35.1 MB
37 - Adding Interactivity with Matplotlib Widgets/05 - Lesson 05.mp4 35.1 MB
28 - Intermediate XPath Concepts/03 - Lesson 03.mp4 35.0 MB
03 - Working with Multidimensional Num Py Arrays/02 - Lesson 02.mp4 34.9 MB
32 - Working with Scatterplots in Matplotlib/01 - Lesson 01.mp4 34.4 MB
44 - Machine Learning Algorithms K-Means Clustering/03 - Lesson 03.mp4 34.4 MB
39 - Introduction to Seaborn/04 - Lesson 04.mp4 34.3 MB
29 - XPath Predicates Basics/01 - Lesson 01.mp4 34.3 MB
47 - Basics of Descriptive Statistics/03 - Lesson 03.mp4 34.1 MB
61 - PEP Guidelines For Data Analysts/02 - Lesson 02.mp4 34.0 MB
41 - Working with Seaborn's Categorical Plots/04 - Lesson 04.mp4 33.8 MB
28 - Intermediate XPath Concepts/02 - Lesson 02.mp4 33.7 MB
10 - Basics of Pandas Data Frames/01 - Lesson 01.mp4 33.6 MB
18 - Transforming Data in Pandas/04 - Lesson 04.mp4 33.5 MB
05 - Introduction to Fancy Indexing in Num Py/01 - Lesson 01.mp4 33.4 MB
03 - Working with Multidimensional Num Py Arrays/01 - Lesson 01.mp4 33.3 MB
17 - Filtering Data in Pandas/03 - Lesson 03.mp4 33.3 MB
37 - Adding Interactivity with Matplotlib Widgets/03 - Lesson 03.mp4 33.3 MB
12 - Working with Datasets in Pandas/03 - Lesson 03.mp4 33.2 MB
10 - Basics of Pandas Data Frames/03 - Lesson 03.mp4 32.9 MB
23 - Finding Elements with Beautiful Soup/06 - Lesson 06.mp4 32.7 MB
25 - CSS Combinators for Web-Scraping/01 - Lesson 01.mp4 32.4 MB
33 - Working with Bar Charts in Matplotlib/02 - Lesson 02.mp4 32.4 MB
45 - Machine Learning Algorithms Neural Networks/02 - Lesson 02.mp4 32.2 MB
34 - Working with Pie Charts in Matplotlib/02 - Lesson 02.mp4 32.1 MB
13 - Dataset Cleaning in Pandas/06 - Lesson 06.mp4 31.9 MB
05 - Introduction to Fancy Indexing in Num Py/05 - Lesson 05.mp4 31.7 MB
59 - SQL Transactions and Rollbacks/03 - Lesson 03.mp4 31.6 MB
24 - CSS Selectors For Web Scraping/01 - Lesson 01.mp4 31.5 MB
19 - Applying Functions in Pandas/02 - Lesson 02.mp4 31.4 MB
21 - Introduction to Web Scraping with Beautiful Soup/03 - Lesson 03.mp4 31.2 MB
37 - Adding Interactivity with Matplotlib Widgets/01 - Lesson 01.mp4 31.2 MB
35 - Statistical Visualization Basics with Matplotlib/01 - Lesson 01.mp4 30.8 MB
39 - Introduction to Seaborn/01 - Lesson 01.mp4 30.8 MB
07 - Basic Data Analysis with Num Py Arrays/02 - Lesson 02.mp4 30.7 MB
09 - Basics of Pandas Series/04 - Lesson 04.mp4 30.7 MB
22 - Beautiful Soup Types In-Depth/01 - Lesson 01.mp4 30.6 MB
46 - Machine Learning Algorithms Classification Trees/03 - Lesson 03.mp4 30.5 MB
35 - Statistical Visualization Basics with Matplotlib/03 - Lesson 03.mp4 30.2 MB
51 - Bootstrapping and Other Inferential Strategies/04 - Lesson 04.mp4 30.2 MB
28 - Intermediate XPath Concepts/04 - Lesson 04.mp4 30.1 MB
20 - Sorting Pandas Data Structures/02 - Lesson 02.mp4 30.0 MB
09 - Basics of Pandas Series/03 - Lesson 03.mp4 30.0 MB
27 - Introduction to XPath for Web-Scraping/03 - Lesson 03.mp4 29.9 MB
53 - SQL Query Fundamentals/06 - Lesson 06.mp4 29.8 MB
05 - Introduction to Fancy Indexing in Num Py/02 - Lesson 02.mp4 29.8 MB
52 - Introduction to SQL For Data Analysts/02 - Lesson 02.mp4 29.7 MB
27 - Introduction to XPath for Web-Scraping/01 - Lesson 01.mp4 29.7 MB
59 - SQL Transactions and Rollbacks/04 - Lesson 04.mp4 29.6 MB
27 - Introduction to XPath for Web-Scraping/06 - Lesson 06.mp4 29.6 MB
29 - XPath Predicates Basics/05 - Lesson 05.mp4 29.5 MB
01 - Basics of Jupyter Notebooks/02 - Lesson 02.mp4 29.5 MB
04 - Num Py Array Operations/01 - Lesson 01.mp4 29.4 MB
05 - Introduction to Fancy Indexing in Num Py/03 - Lesson 03.mp4 29.3 MB
06 - Num Py Array Broadcasting In-Depth/01 - Lesson 01.mp4 29.2 MB
20 - Sorting Pandas Data Structures/01 - Lesson 01.mp4 29.1 MB
50 - Inferential Statistics Fundamentals/02 - Lesson 02.mp4 28.9 MB
31 - Basics of Data Visualization with Matplotlib/05 - Lesson 05.mp4 28.8 MB
07 - Basic Data Analysis with Num Py Arrays/03 - Lesson 03.mp4 28.7 MB
41 - Working with Seaborn's Categorical Plots/06 - Lesson 06.mp4 28.6 MB
33 - Working with Bar Charts in Matplotlib/01 - Lesson 01.mp4 28.6 MB
38 - More Matplotlib Widgets/02 - Lesson 02.mp4 28.6 MB
36 - Matplotlib Figures In-Depth/03 - Lesson 03.mp4 28.6 MB
17 - Filtering Data in Pandas/04 - Lesson 04.mp4 28.5 MB
08 - Num Py's Data Types In-Depth/03 - Lesson 03.mp4 28.4 MB
48 - Descriptive Statistics In-Depth/02 - Lesson 02.mp4 28.3 MB
56 - SQL Relationships and Joins/07 - Lesson 07.mp4 28.2 MB
54 - Managing Data in SQL Tables/02 - Lesson 02.mp4 28.0 MB
57 - Aggregates and Grouping in SQL/06 - Lesson 06.mp4 28.0 MB
10 - Basics of Pandas Data Frames/02 - Lesson 02.mp4 27.8 MB
18 - Transforming Data in Pandas/01 - Lesson 01.mp4 27.7 MB
01 - Basics of Jupyter Notebooks/03 - Lesson 03.mp4 27.5 MB
01 - Basics of Jupyter Notebooks/04 - Lesson 04.mp4 27.5 MB
54 - Managing Data in SQL Tables/01 - Lesson 01.mp4 27.5 MB
19 - Applying Functions in Pandas/03 - Lesson 03.mp4 27.4 MB
46 - Machine Learning Algorithms Classification Trees/01 - Lesson 01.mp4 27.3 MB
36 - Matplotlib Figures In-Depth/06 - Lesson 06.mp4 27.2 MB
49 - Correlation In Statistics/01 - Lesson 01.mp4 27.1 MB
04 - Num Py Array Operations/03 - Lesson 03.mp4 27.0 MB
41 - Working with Seaborn's Categorical Plots/01 - Lesson 01.mp4 26.9 MB
39 - Introduction to Seaborn/03 - Lesson 03.mp4 26.9 MB
61 - PEP Guidelines For Data Analysts/03 - Lesson 03.mp4 26.9 MB
31 - Basics of Data Visualization with Matplotlib/01 - Lesson 01.mp4 26.8 MB
03 - Working with Multidimensional Num Py Arrays/03 - Lesson 03.mp4 26.7 MB
02 - Introduction to Num Py/03 - Lesson 03.mp4 26.7 MB
45 - Machine Learning Algorithms Neural Networks/05 - Lesson 05.mp4 26.6 MB
44 - Machine Learning Algorithms K-Means Clustering/02 - Lesson 02.mp4 26.6 MB
01 - Basics of Jupyter Notebooks/05 - Lesson 05.mp4 26.3 MB
18 - Transforming Data in Pandas/03 - Lesson 03.mp4 26.3 MB
08 - Num Py's Data Types In-Depth/02 - Lesson 02.mp4 26.2 MB
46 - Machine Learning Algorithms Classification Trees/02 - Lesson 02.mp4 26.1 MB
36 - Matplotlib Figures In-Depth/02 - Lesson 02.mp4 26.1 MB
02 - Introduction to Num Py/01 - Lesson 01.mp4 25.6 MB
07 - Basic Data Analysis with Num Py Arrays/04 - Lesson 04.mp4 25.6 MB
51 - Bootstrapping and Other Inferential Strategies/06 - Lesson 06.mp4 25.3 MB
56 - SQL Relationships and Joins/01 - Lesson 01.mp4 25.3 MB
33 - Working with Bar Charts in Matplotlib/04 - Lesson 04.mp4 25.2 MB
55 - Updating and Deleting Data in SQL/03 - Lesson 03.mp4 25.1 MB
02 - Introduction to Num Py/02 - Lesson 02.mp4 25.1 MB
48 - Descriptive Statistics In-Depth/06 - Lesson 06.mp4 25.1 MB
60 - Object-Oriented Programming For Data Analysts/04 - Lesson 04.mp4 24.8 MB
23 - Finding Elements with Beautiful Soup/04 - Lesson 04.mp4 24.8 MB
59 - SQL Transactions and Rollbacks/01 - Lesson 01.mp4 24.7 MB
58 - SQL Subqueries/03 - Lesson 03.mp4 24.6 MB
11 - Generating Random Numbers with Num Py and Pandas/04 - Lesson 04.mp4 24.3 MB
21 - Introduction to Web Scraping with Beautiful Soup/06 - Lesson 06.mp4 24.2 MB
31 - Basics of Data Visualization with Matplotlib/02 - Lesson 02.mp4 24.1 MB
36 - Matplotlib Figures In-Depth/04 - Lesson 04.mp4 23.9 MB
32 - Working with Scatterplots in Matplotlib/04 - Lesson 04.mp4 23.9 MB
36 - Matplotlib Figures In-Depth/01 - Lesson 01.mp4 23.8 MB
51 - Bootstrapping and Other Inferential Strategies/01 - Lesson 01.mp4 23.7 MB
43 - Machine Learning Algorithms Linear Models/02 - Lesson 02.mp4 23.6 MB
11 - Generating Random Numbers with Num Py and Pandas/01 - Lesson 01.mp4 23.6 MB
43 - Machine Learning Algorithms Linear Models/01 - Lesson 01.mp4 23.5 MB
11 - Generating Random Numbers with Num Py and Pandas/03 - Lesson 03.mp4 23.5 MB
32 - Working with Scatterplots in Matplotlib/03 - Lesson 03.mp4 23.3 MB
33 - Working with Bar Charts in Matplotlib/03 - Lesson 03.mp4 23.1 MB
56 - SQL Relationships and Joins/04 - Lesson 04.mp4 23.1 MB
27 - Introduction to XPath for Web-Scraping/02 - Lesson 02.mp4 23.0 MB
56 - SQL Relationships and Joins/03 - Lesson 03.mp4 23.0 MB
44 - Machine Learning Algorithms K-Means Clustering/04 - Lesson 04.mp4 22.8 MB
47 - Basics of Descriptive Statistics/01 - Lesson 01.mp4 22.8 MB
32 - Working with Scatterplots in Matplotlib/02 - Lesson 02.mp4 22.7 MB
03 - Working with Multidimensional Num Py Arrays/04 - Lesson 04.mp4 22.7 MB
42 - Machine Learning Algorithms K-Nearest Neighbor/03 - Lesson 03.mp4 22.6 MB
18 - Transforming Data in Pandas/02 - Lesson 02.mp4 22.6 MB
43 - Machine Learning Algorithms Linear Models/04 - Lesson 04.mp4 22.4 MB
42 - Machine Learning Algorithms K-Nearest Neighbor/01 - Lesson 01.mp4 22.3 MB
53 - SQL Query Fundamentals/04 - Lesson 04.mp4 22.3 MB
43 - Machine Learning Algorithms Linear Models/06 - Lesson 06.mp4 22.2 MB
10 - Basics of Pandas Data Frames/05 - Lesson 05.mp4 22.2 MB
13 - Dataset Cleaning in Pandas/02 - Lesson 02.mp4 22.1 MB
07 - Basic Data Analysis with Num Py Arrays/06 - Lesson 06.mp4 21.8 MB
02 - Introduction to Num Py/04 - Lesson 04.mp4 21.8 MB
38 - More Matplotlib Widgets/05 - Lesson 05.mp4 21.8 MB
06 - Num Py Array Broadcasting In-Depth/05 - Lesson 05.mp4 21.7 MB
58 - SQL Subqueries/04 - Lesson 04.mp4 21.6 MB
01 - Basics of Jupyter Notebooks/01 - Lesson 01.mp4 21.4 MB
11 - Generating Random Numbers with Num Py and Pandas/05 - Lesson 05.mp4 21.3 MB
52 - Introduction to SQL For Data Analysts/03 - Lesson 03.mp4 21.3 MB
16 - Intermediate Dataset Grouping/05 - Lesson 05.mp4 21.3 MB
45 - Machine Learning Algorithms Neural Networks/01 - Lesson 01.mp4 21.3 MB
04 - Num Py Array Operations/02 - Lesson 02.mp4 21.0 MB
35 - Statistical Visualization Basics with Matplotlib/05 - Lesson 05.mp4 21.0 MB
25 - CSS Combinators for Web-Scraping/02 - Lesson 02.mp4 20.9 MB
24 - CSS Selectors For Web Scraping/06 - Lesson 06.mp4 20.8 MB
61 - PEP Guidelines For Data Analysts/04 - Lesson 04.mp4 20.6 MB
21 - Introduction to Web Scraping with Beautiful Soup/01 - Lesson 01.mp4 20.6 MB
34 - Working with Pie Charts in Matplotlib/01 - Lesson 01.mp4 20.4 MB
48 - Descriptive Statistics In-Depth/04 - Lesson 04.mp4 20.3 MB
44 - Machine Learning Algorithms K-Means Clustering/01 - Lesson 01.mp4 19.2 MB
42 - Machine Learning Algorithms K-Nearest Neighbor/06 - Lesson 06.mp4 18.8 MB
59 - SQL Transactions and Rollbacks/06 - Lesson 06.mp4 18.8 MB
47 - Basics of Descriptive Statistics/06 - Lesson 06.mp4 18.7 MB
52 - Introduction to SQL For Data Analysts/06 - Lesson 06.mp4 18.5 MB
09 - Basics of Pandas Series/01 - Lesson 01.mp4 18.5 MB
34 - Working with Pie Charts in Matplotlib/05 - Lesson 05.mp4 18.1 MB
51 - Bootstrapping and Other Inferential Strategies/03 - Lesson 03.mp4 17.9 MB
03 - Working with Multidimensional Num Py Arrays/05 - Lesson 05.mp4 17.8 MB
46 - Machine Learning Algorithms Classification Trees/06 - Lesson 06.mp4 17.5 MB
11 - Generating Random Numbers with Num Py and Pandas/06 - Lesson 06.mp4 17.4 MB
05 - Introduction to Fancy Indexing in Num Py/04 - Lesson 04.mp4 17.3 MB
28 - Intermediate XPath Concepts/06 - Lesson 06.mp4 17.2 MB
08 - Num Py's Data Types In-Depth/04 - Lesson 04.mp4 17.2 MB
55 - Updating and Deleting Data in SQL/06 - Lesson 06.mp4 17.0 MB
30 - Advanced XPath Predicates/05 - Lesson 05.mp4 16.8 MB
28 - Intermediate XPath Concepts/05 - Lesson 05.mp4 16.8 MB
50 - Inferential Statistics Fundamentals/05 - Lesson 05.mp4 16.8 MB
04 - Num Py Array Operations/05 - Lesson 05.mp4 16.7 MB
58 - SQL Subqueries/06 - Lesson 06.mp4 16.0 MB
37 - Adding Interactivity with Matplotlib Widgets/04 - Lesson 04.mp4 15.7 MB
04 - Num Py Array Operations/04 - Lesson 04.mp4 15.4 MB
12 - Working with Datasets in Pandas/05 - Lesson 05.mp4 15.4 MB
40 - Working with Seaborn's Relational Plots/05 - Lesson 05.mp4 15.1 MB
56 - SQL Relationships and Joins/05 - Lesson 05.mp4 14.9 MB
15 - The Basics of Pandas Dataset Grouping/04 - Lesson 04.mp4 14.8 MB
42 - Machine Learning Algorithms K-Nearest Neighbor/02 - Lesson 02.mp4 13.5 MB
27 - Introduction to XPath for Web-Scraping/05 - Lesson 05.mp4 13.4 MB
48 - Descriptive Statistics In-Depth/05 - Lesson 05.mp4 12.6 MB
54 - Managing Data in SQL Tables/06 - Lesson 06.mp4 12.3 MB
41 - Working with Seaborn's Categorical Plots/03 - Lesson 03.mp4 12.2 MB
02 - Introduction to Num Py/06 - Lesson 06.mp4 12.1 MB
57 - Aggregates and Grouping in SQL/05 - Lesson 05.mp4 12.0 MB
04 - Num Py Array Operations/06 - Lesson 06.mp4 11.9 MB
42 - Machine Learning Algorithms K-Nearest Neighbor/05 - Lesson 05.mp4 11.9 MB
20 - Sorting Pandas Data Structures/06 - Lesson 06.mp4 11.9 MB
24 - CSS Selectors For Web Scraping/05 - Lesson 05.mp4 11.7 MB
44 - Machine Learning Algorithms K-Means Clustering/05 - Lesson 05.mp4 11.6 MB
22 - Beautiful Soup Types In-Depth/05 - Lesson 05.mp4 11.4 MB
49 - Correlation In Statistics/05 - Lesson 05.mp4 11.4 MB
23 - Finding Elements with Beautiful Soup/05 - Lesson 05.mp4 11.3 MB
53 - SQL Query Fundamentals/05 - Lesson 05.mp4 10.7 MB
10 - Basics of Pandas Data Frames/04 - Lesson 04.mp4 10.6 MB
38 - More Matplotlib Widgets/04 - Lesson 04.mp4 10.5 MB
33 - Working with Bar Charts in Matplotlib/06 - Lesson 06.mp4 10.3 MB
18 - Transforming Data in Pandas/05 - Lesson 05.mp4 10.3 MB
60 - Object-Oriented Programming For Data Analysts/05 - Lesson 05.mp4 10.0 MB
22 - Beautiful Soup Types In-Depth/04 - Lesson 04.mp4 10.0 MB
29 - XPath Predicates Basics/04 - Lesson 04.mp4 9.9 MB
19 - Applying Functions in Pandas/06 - Lesson 06.mp4 9.8 MB
08 - Num Py's Data Types In-Depth/05 - Lesson 05.mp4 9.5 MB
17 - Filtering Data in Pandas/06 - Lesson 06.mp4 9.5 MB
30 - Advanced XPath Predicates/04 - Lesson 04.mp4 9.0 MB
09 - Basics of Pandas Series/06 - Lesson 06.mp4 9.0 MB
55 - Updating and Deleting Data in SQL/05 - Lesson 05.mp4 8.6 MB
06 - Num Py Array Broadcasting In-Depth/04 - Lesson 04.mp4 8.5 MB
46 - Machine Learning Algorithms Classification Trees/05 - Lesson 05.mp4 8.4 MB
40 - Working with Seaborn's Relational Plots/04 - Lesson 04.mp4 8.2 MB
02 - Introduction to Num Py/05 - Lesson 05.mp4 8.1 MB
21 - Introduction to Web Scraping with Beautiful Soup/05 - Lesson 05.mp4 7.7 MB
31 - Basics of Data Visualization with Matplotlib/04 - Lesson 04.mp4 7.6 MB
32 - Working with Scatterplots in Matplotlib/05 - Lesson 05.mp4 7.6 MB
14 - An In-Depth Look At Missing Values/04 - Lesson 04.mp4 7.6 MB
07 - Basic Data Analysis with Num Py Arrays/05 - Lesson 05.mp4 7.0 MB
45 - Machine Learning Algorithms Neural Networks/04 - Lesson 04.mp4 7.0 MB
44 - Machine Learning Algorithms K-Means Clustering/06 - Lesson 06.mp4 7.0 MB
61 - PEP Guidelines For Data Analysts/05 - Lesson 05.mp4 7.0 MB
35 - Statistical Visualization Basics with Matplotlib/04 - Lesson 04.mp4 6.8 MB
16 - Intermediate Dataset Grouping/04 - Lesson 04.mp4 6.7 MB
43 - Machine Learning Algorithms Linear Models/05 - Lesson 05.mp4 6.5 MB
17 - Filtering Data in Pandas/05 - Lesson 05.mp4 6.5 MB
20 - Sorting Pandas Data Structures/07 - Lesson 07.mp4 6.5 MB
13 - Dataset Cleaning in Pandas/05 - Lesson 05.mp4 6.4 MB
36 - Matplotlib Figures In-Depth/05 - Lesson 05.mp4 6.0 MB
19 - Applying Functions in Pandas/05 - Lesson 05.mp4 5.9 MB
09 - Basics of Pandas Series/05 - Lesson 05.mp4 5.9 MB
52 - Introduction to SQL For Data Analysts/05 - Lesson 05.mp4 5.6 MB
59 - SQL Transactions and Rollbacks/05 - Lesson 05.mp4 5.5 MB
34 - Working with Pie Charts in Matplotlib/04 - Lesson 04.mp4 4.1 MB
50 - Inferential Statistics Fundamentals/04 - Lesson 04.mp4 4.1 MB
58 - SQL Subqueries/05 - Lesson 05.mp4 4.0 MB
56 - SQL Relationships and Joins/06 - Lesson 06.mp4 4.0 MB
33 - Working with Bar Charts in Matplotlib/05 - Lesson 05.mp4 3.9 MB
41 - Working with Seaborn's Categorical Plots/05 - Lesson 05.mp4 3.8 MB
39 - Introduction to Seaborn/05 - Lesson 05.mp4 3.1 MB
47 - Basics of Descriptive Statistics/05 - Lesson 05.mp4 2.9 MB
54 - Managing Data in SQL Tables/05 - Lesson 05.mp4 2.6 MB
51 - Bootstrapping and Other Inferential Strategies/05 - Lesson 05.mp4 2.6 MB
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60 - Object-Oriented Programming For Data Analysts/01 - Lesson 01.RU.srt 33.1 KB
34 - Working with Pie Charts in Matplotlib/03 - Lesson 03.RU.srt 33.0 KB
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15 - The Basics of Pandas Dataset Grouping/01 - Lesson 01.RU.srt 30.6 KB
22 - Beautiful Soup Types In-Depth/02 - Lesson 02.RU.srt 30.4 KB
21 - Introduction to Web Scraping with Beautiful Soup/04 - Lesson 04.RU.srt 30.0 KB
14 - An In-Depth Look At Missing Values/01 - Lesson 01.RU.srt 28.7 KB
16 - Intermediate Dataset Grouping/01 - Lesson 01.RU.srt 27.9 KB
51 - Bootstrapping and Other Inferential Strategies/02 - Lesson 02.RU.srt 27.6 KB
38 - More Matplotlib Widgets/01 - Lesson 01.RU.srt 27.5 KB
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06 - Num Py Array Broadcasting In-Depth/02 - Lesson 02.RU.srt 27.2 KB
55 - Updating and Deleting Data in SQL/04 - Lesson 04.RU.srt 26.9 KB
23 - Finding Elements with Beautiful Soup/01 - Lesson 01.RU.srt 26.9 KB
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58 - SQL Subqueries/02 - Lesson 02.RU.srt 25.9 KB
13 - Dataset Cleaning in Pandas/03 - Lesson 03.RU.srt 25.8 KB
45 - Machine Learning Algorithms Neural Networks/03 - Lesson 03.RU.srt 25.6 KB
17 - Filtering Data in Pandas/01 - Lesson 01.RU.srt 25.1 KB
08 - Num Py's Data Types In-Depth/01 - Lesson 01.RU.srt 25.1 KB
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60 - Object-Oriented Programming For Data Analysts/02 - Lesson 02.RU.srt 25.0 KB
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52 - Introduction to SQL For Data Analysts/01 - Lesson 01.RU.srt 24.9 KB
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53 - SQL Query Fundamentals/03 - Lesson 03.RU.srt 24.8 KB
29 - XPath Predicates Basics/03 - Lesson 03.RU.srt 24.8 KB
10 - Basics of Pandas Data Frames/01 - Lesson 01.RU.srt 24.6 KB
31 - Basics of Data Visualization with Matplotlib/03 - Lesson 03.RU.srt 24.5 KB
56 - SQL Relationships and Joins/02 - Lesson 02.RU.srt 24.3 KB
35 - Statistical Visualization Basics with Matplotlib/02 - Lesson 02.RU.srt 24.3 KB
03 - Working with Multidimensional Num Py Arrays/01 - Lesson 01.RU.srt 24.3 KB
37 - Adding Interactivity with Matplotlib Widgets/02 - Lesson 02.RU.srt 24.3 KB
23 - Finding Elements with Beautiful Soup/03 - Lesson 03.RU.srt 24.3 KB
40 - Working with Seaborn's Relational Plots/02 - Lesson 02.RU.srt 24.3 KB
55 - Updating and Deleting Data in SQL/02 - Lesson 02.RU.srt 24.2 KB
49 - Correlation In Statistics/03 - Lesson 03.RU.srt 24.0 KB
30 - Advanced XPath Predicates/01 - Lesson 01.RU.srt 23.8 KB
61 - PEP Guidelines For Data Analysts/01 - Lesson 01.EN.srt 23.6 KB
25 - CSS Combinators for Web-Scraping/01 - Lesson 01.RU.srt 23.6 KB
44 - Machine Learning Algorithms K-Means Clustering/03 - Lesson 03.RU.srt 23.6 KB
34 - Working with Pie Charts in Matplotlib/03 - Lesson 03.EN.srt 23.6 KB
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30 - Advanced XPath Predicates/03 - Lesson 03.RU.srt 22.8 KB
15 - The Basics of Pandas Dataset Grouping/01 - Lesson 01.EN.srt 22.8 KB
12 - Working with Datasets in Pandas/01 - Lesson 01.RU.srt 22.6 KB
42 - Machine Learning Algorithms K-Nearest Neighbor/04 - Lesson 04.RU.srt 22.6 KB
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19 - Applying Functions in Pandas/01 - Lesson 01.EN.srt 22.4 KB
29 - XPath Predicates Basics/02 - Lesson 02.RU.srt 22.4 KB
32 - Working with Scatterplots in Matplotlib/01 - Lesson 01.RU.srt 22.4 KB
60 - Object-Oriented Programming For Data Analysts/01 - Lesson 01.EN.srt 22.3 KB
54 - Managing Data in SQL Tables/03 - Lesson 03.RU.srt 22.3 KB
43 - Machine Learning Algorithms Linear Models/03 - Lesson 03.RU.srt 22.2 KB
28 - Intermediate XPath Concepts/01 - Lesson 01.RU.srt 22.2 KB
47 - Basics of Descriptive Statistics/04 - Lesson 04.RU.srt 22.1 KB
40 - Working with Seaborn's Relational Plots/01 - Lesson 01.RU.srt 22.1 KB
14 - An In-Depth Look At Missing Values/03 - Lesson 03.RU.srt 22.1 KB
21 - Introduction to Web Scraping with Beautiful Soup/04 - Lesson 04.EN.srt 22.0 KB
37 - Adding Interactivity with Matplotlib Widgets/01 - Lesson 01.RU.srt 21.9 KB
35 - Statistical Visualization Basics with Matplotlib/01 - Lesson 01.RU.srt 21.9 KB
22 - Beautiful Soup Types In-Depth/03 - Lesson 03.RU.srt 21.8 KB
25 - CSS Combinators for Web-Scraping/04 - Lesson 04.RU.srt 21.5 KB
33 - Working with Bar Charts in Matplotlib/02 - Lesson 02.RU.srt 21.5 KB
39 - Introduction to Seaborn/02 - Lesson 02.RU.srt 21.5 KB
55 - Updating and Deleting Data in SQL/01 - Lesson 01.RU.srt 21.3 KB
48 - Descriptive Statistics In-Depth/01 - Lesson 01.RU.srt 21.2 KB
38 - More Matplotlib Widgets/03 - Lesson 03.RU.srt 21.2 KB
41 - Working with Seaborn's Categorical Plots/04 - Lesson 04.RU.srt 21.2 KB
34 - Working with Pie Charts in Matplotlib/02 - Lesson 02.RU.srt 21.0 KB
53 - SQL Query Fundamentals/01 - Lesson 01.RU.srt 21.0 KB
45 - Machine Learning Algorithms Neural Networks/02 - Lesson 02.RU.srt 21.0 KB
15 - The Basics of Pandas Dataset Grouping/02 - Lesson 02.RU.srt 20.9 KB
59 - SQL Transactions and Rollbacks/02 - Lesson 02.RU.srt 20.9 KB
47 - Basics of Descriptive Statistics/02 - Lesson 02.RU.srt 20.8 KB
41 - Working with Seaborn's Categorical Plots/02 - Lesson 02.RU.srt 20.8 KB
07 - Basic Data Analysis with Num Py Arrays/01 - Lesson 01.RU.srt 20.6 KB
24 - CSS Selectors For Web Scraping/04 - Lesson 04.RU.srt 20.6 KB
16 - Intermediate Dataset Grouping/01 - Lesson 01.EN.srt 20.5 KB
40 - Working with Seaborn's Relational Plots/03 - Lesson 03.RU.srt 20.5 KB
18 - Transforming Data in Pandas/06 - Lesson 06.RU.srt 20.5 KB
35 - Statistical Visualization Basics with Matplotlib/03 - Lesson 03.RU.srt 20.4 KB
57 - Aggregates and Grouping in SQL/04 - Lesson 04.RU.srt 20.4 KB
20 - Sorting Pandas Data Structures/03 - Lesson 03.RU.srt 20.3 KB
46 - Machine Learning Algorithms Classification Trees/01 - Lesson 01.RU.srt 20.3 KB
33 - Working with Bar Charts in Matplotlib/01 - Lesson 01.RU.srt 20.3 KB
52 - Introduction to SQL For Data Analysts/02 - Lesson 02.RU.srt 20.2 KB
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31 - Basics of Data Visualization with Matplotlib/01 - Lesson 01.RU.srt 20.2 KB
17 - Filtering Data in Pandas/02 - Lesson 02.RU.srt 20.2 KB
06 - Num Py Array Broadcasting In-Depth/01 - Lesson 01.RU.srt 20.1 KB
26 - CSS Pseudo-Classes for Web-Scraping/01 - Lesson 01.RU.srt 20.1 KB
55 - Updating and Deleting Data in SQL/04 - Lesson 04.EN.srt 20.0 KB
39 - Introduction to Seaborn/04 - Lesson 04.RU.srt 20.0 KB
26 - CSS Pseudo-Classes for Web-Scraping/04 - Lesson 04.RU.srt 20.0 KB
14 - An In-Depth Look At Missing Values/02 - Lesson 02.RU.srt 19.9 KB
30 - Advanced XPath Predicates/02 - Lesson 02.RU.srt 19.9 KB
14 - An In-Depth Look At Missing Values/01 - Lesson 01.EN.srt 19.8 KB
22 - Beautiful Soup Types In-Depth/01 - Lesson 01.RU.srt 19.8 KB
29 - XPath Predicates Basics/01 - Lesson 01.RU.srt 19.8 KB
16 - Intermediate Dataset Grouping/03 - Lesson 03.RU.srt 19.7 KB
27 - Introduction to XPath for Web-Scraping/01 - Lesson 01.RU.srt 19.7 KB
27 - Introduction to XPath for Web-Scraping/04 - Lesson 04.RU.srt 19.7 KB
51 - Bootstrapping and Other Inferential Strategies/02 - Lesson 02.EN.srt 19.5 KB
05 - Introduction to Fancy Indexing in Num Py/02 - Lesson 02.RU.srt 19.5 KB
01 - Basics of Jupyter Notebooks/03 - Lesson 03.RU.srt 19.5 KB
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38 - More Matplotlib Widgets/01 - Lesson 01.EN.srt 19.3 KB
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50 - Inferential Statistics Fundamentals/02 - Lesson 02.RU.srt 19.2 KB
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58 - SQL Subqueries/02 - Lesson 02.EN.srt 19.1 KB
44 - Machine Learning Algorithms K-Means Clustering/02 - Lesson 02.RU.srt 19.1 KB
53 - SQL Query Fundamentals/02 - Lesson 02.RU.srt 19.1 KB
23 - Finding Elements with Beautiful Soup/01 - Lesson 01.EN.srt 19.1 KB
49 - Correlation In Statistics/01 - Lesson 01.RU.srt 19.1 KB
24 - CSS Selectors For Web Scraping/03 - Lesson 03.RU.srt 19.1 KB
15 - The Basics of Pandas Dataset Grouping/03 - Lesson 03.RU.srt 19.1 KB
21 - Introduction to Web Scraping with Beautiful Soup/02 - Lesson 02.RU.srt 19.0 KB
46 - Machine Learning Algorithms Classification Trees/04 - Lesson 04.RU.srt 19.0 KB
39 - Introduction to Seaborn/03 - Lesson 03.RU.srt 19.0 KB
26 - CSS Pseudo-Classes for Web-Scraping/02 - Lesson 02.RU.srt 19.0 KB
57 - Aggregates and Grouping in SQL/02 - Lesson 02.RU.srt 18.9 KB
45 - Machine Learning Algorithms Neural Networks/03 - Lesson 03.EN.srt 18.8 KB
09 - Basics of Pandas Series/04 - Lesson 04.RU.srt 18.8 KB
54 - Managing Data in SQL Tables/01 - Lesson 01.RU.srt 18.8 KB
37 - Adding Interactivity with Matplotlib Widgets/05 - Lesson 05.RU.srt 18.7 KB
04 - Num Py Array Operations/01 - Lesson 01.RU.srt 18.7 KB
60 - Object-Oriented Programming For Data Analysts/03 - Lesson 03.RU.srt 18.7 KB
02 - Introduction to Num Py/02 - Lesson 02.RU.srt 18.6 KB
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53 - SQL Query Fundamentals/03 - Lesson 03.EN.srt 18.4 KB
06 - Num Py Array Broadcasting In-Depth/02 - Lesson 02.EN.srt 18.3 KB
06 - Num Py Array Broadcasting In-Depth/03 - Lesson 03.EN.srt 18.3 KB
49 - Correlation In Statistics/04 - Lesson 04.RU.srt 18.3 KB
05 - Introduction to Fancy Indexing in Num Py/01 - Lesson 01.EN.srt 18.2 KB
48 - Descriptive Statistics In-Depth/03 - Lesson 03.RU.srt 18.2 KB
13 - Dataset Cleaning in Pandas/03 - Lesson 03.EN.srt 18.1 KB
02 - Introduction to Num Py/03 - Lesson 03.RU.srt 18.0 KB
08 - Num Py's Data Types In-Depth/01 - Lesson 01.EN.srt 18.0 KB
37 - Adding Interactivity with Matplotlib Widgets/03 - Lesson 03.RU.srt 18.0 KB
49 - Correlation In Statistics/03 - Lesson 03.EN.srt 18.0 KB
13 - Dataset Cleaning in Pandas/04 - Lesson 04.RU.srt 17.9 KB
17 - Filtering Data in Pandas/01 - Lesson 01.EN.srt 17.9 KB
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52 - Introduction to SQL For Data Analysts/01 - Lesson 01.EN.srt 17.9 KB
08 - Num Py's Data Types In-Depth/02 - Lesson 02.RU.srt 17.9 KB
31 - Basics of Data Visualization with Matplotlib/03 - Lesson 03.EN.srt 17.8 KB
36 - Matplotlib Figures In-Depth/02 - Lesson 02.RU.srt 17.8 KB
03 - Working with Multidimensional Num Py Arrays/01 - Lesson 01.EN.srt 17.8 KB
51 - Bootstrapping and Other Inferential Strategies/01 - Lesson 01.RU.srt 17.8 KB
42 - Machine Learning Algorithms K-Nearest Neighbor/01 - Lesson 01.RU.srt 17.7 KB
12 - Working with Datasets in Pandas/04 - Lesson 04.RU.srt 17.7 KB
61 - PEP Guidelines For Data Analysts/02 - Lesson 02.RU.srt 17.7 KB
43 - Machine Learning Algorithms Linear Models/01 - Lesson 01.RU.srt 17.7 KB
60 - Object-Oriented Programming For Data Analysts/02 - Lesson 02.EN.srt 17.7 KB
50 - Inferential Statistics Fundamentals/01 - Lesson 01.EN.srt 17.7 KB
12 - Working with Datasets in Pandas/03 - Lesson 03.RU.srt 17.7 KB
11 - Generating Random Numbers with Num Py and Pandas/01 - Lesson 01.RU.srt 17.7 KB
23 - Finding Elements with Beautiful Soup/03 - Lesson 03.EN.srt 17.7 KB
57 - Aggregates and Grouping in SQL/03 - Lesson 03.RU.srt 17.6 KB
02 - Introduction to Num Py/01 - Lesson 01.RU.srt 17.6 KB
19 - Applying Functions in Pandas/04 - Lesson 04.RU.srt 17.6 KB
56 - SQL Relationships and Joins/01 - Lesson 01.RU.srt 17.6 KB
26 - CSS Pseudo-Classes for Web-Scraping/03 - Lesson 03.RU.srt 17.5 KB
46 - Machine Learning Algorithms Classification Trees/03 - Lesson 03.RU.srt 17.5 KB
56 - SQL Relationships and Joins/02 - Lesson 02.EN.srt 17.4 KB
39 - Introduction to Seaborn/01 - Lesson 01.RU.srt 17.4 KB
37 - Adding Interactivity with Matplotlib Widgets/02 - Lesson 02.EN.srt 17.4 KB
24 - CSS Selectors For Web Scraping/01 - Lesson 01.RU.srt 17.4 KB
55 - Updating and Deleting Data in SQL/02 - Lesson 02.EN.srt 17.3 KB
51 - Bootstrapping and Other Inferential Strategies/04 - Lesson 04.RU.srt 17.3 KB
10 - Basics of Pandas Data Frames/02 - Lesson 02.RU.srt 17.2 KB
10 - Basics of Pandas Data Frames/01 - Lesson 01.EN.srt 17.2 KB
29 - XPath Predicates Basics/03 - Lesson 03.EN.srt 17.1 KB
16 - Intermediate Dataset Grouping/02 - Lesson 02.RU.srt 17.1 KB
61 - PEP Guidelines For Data Analysts/03 - Lesson 03.RU.srt 17.1 KB
18 - Transforming Data in Pandas/04 - Lesson 04.RU.srt 17.1 KB
49 - Correlation In Statistics/02 - Lesson 02.RU.srt 17.1 KB
47 - Basics of Descriptive Statistics/01 - Lesson 01.RU.srt 17.1 KB
07 - Basic Data Analysis with Num Py Arrays/02 - Lesson 02.RU.srt 17.1 KB
30 - Advanced XPath Predicates/01 - Lesson 01.EN.srt 17.0 KB
14 - An In-Depth Look At Missing Values/05 - Lesson 05.RU.srt 17.0 KB
32 - Working with Scatterplots in Matplotlib/06 - Lesson 06.RU.srt 16.9 KB
35 - Statistical Visualization Basics with Matplotlib/02 - Lesson 02.EN.srt 16.9 KB
40 - Working with Seaborn's Relational Plots/02 - Lesson 02.EN.srt 16.8 KB
12 - Working with Datasets in Pandas/02 - Lesson 02.EN.srt 16.8 KB
29 - XPath Predicates Basics/02 - Lesson 02.EN.srt 16.8 KB
07 - Basic Data Analysis with Num Py Arrays/04 - Lesson 04.RU.srt 16.8 KB
43 - Machine Learning Algorithms Linear Models/03 - Lesson 03.EN.srt 16.7 KB
36 - Matplotlib Figures In-Depth/01 - Lesson 01.RU.srt 16.7 KB
05 - Introduction to Fancy Indexing in Num Py/05 - Lesson 05.EN.srt 16.7 KB
17 - Filtering Data in Pandas/03 - Lesson 03.RU.srt 16.7 KB
36 - Matplotlib Figures In-Depth/03 - Lesson 03.RU.srt 16.7 KB
03 - Working with Multidimensional Num Py Arrays/02 - Lesson 02.EN.srt 16.7 KB
54 - Managing Data in SQL Tables/03 - Lesson 03.EN.srt 16.6 KB
28 - Intermediate XPath Concepts/03 - Lesson 03.RU.srt 16.6 KB
46 - Machine Learning Algorithms Classification Trees/02 - Lesson 02.RU.srt 16.6 KB
11 - Generating Random Numbers with Num Py and Pandas/02 - Lesson 02.EN.srt 16.6 KB
22 - Beautiful Soup Types In-Depth/03 - Lesson 03.EN.srt 16.6 KB
25 - CSS Combinators for Web-Scraping/01 - Lesson 01.EN.srt 16.5 KB
28 - Intermediate XPath Concepts/02 - Lesson 02.RU.srt 16.5 KB
01 - Basics of Jupyter Notebooks/02 - Lesson 02.RU.srt 16.5 KB
18 - Transforming Data in Pandas/01 - Lesson 01.RU.srt 16.5 KB
50 - Inferential Statistics Fundamentals/03 - Lesson 03.EN.srt 16.4 KB
44 - Machine Learning Algorithms K-Means Clustering/03 - Lesson 03.EN.srt 16.4 KB
61 - PEP Guidelines For Data Analysts/06 - Lesson 06.RU.srt 16.3 KB
41 - Working with Seaborn's Categorical Plots/06 - Lesson 06.RU.srt 16.3 KB
54 - Managing Data in SQL Tables/04 - Lesson 04.EN.srt 16.2 KB
30 - Advanced XPath Predicates/03 - Lesson 03.EN.srt 16.2 KB
28 - Intermediate XPath Concepts/01 - Lesson 01.EN.srt 16.2 KB
20 - Sorting Pandas Data Structures/04 - Lesson 04.RU.srt 16.2 KB
12 - Working with Datasets in Pandas/01 - Lesson 01.EN.srt 16.1 KB
25 - CSS Combinators for Web-Scraping/04 - Lesson 04.EN.srt 16.1 KB
40 - Working with Seaborn's Relational Plots/01 - Lesson 01.EN.srt 16.1 KB
38 - More Matplotlib Widgets/03 - Lesson 03.EN.srt 16.1 KB
07 - Basic Data Analysis with Num Py Arrays/03 - Lesson 03.RU.srt 16.0 KB
59 - SQL Transactions and Rollbacks/02 - Lesson 02.EN.srt 16.0 KB
14 - An In-Depth Look At Missing Values/03 - Lesson 03.EN.srt 15.9 KB
59 - SQL Transactions and Rollbacks/04 - Lesson 04.RU.srt 15.9 KB
59 - SQL Transactions and Rollbacks/03 - Lesson 03.RU.srt 15.8 KB
55 - Updating and Deleting Data in SQL/01 - Lesson 01.EN.srt 15.7 KB
07 - Basic Data Analysis with Num Py Arrays/01 - Lesson 01.EN.srt 15.7 KB
38 - More Matplotlib Widgets/02 - Lesson 02.RU.srt 15.7 KB
42 - Machine Learning Algorithms K-Nearest Neighbor/04 - Lesson 04.EN.srt 15.7 KB
03 - Working with Multidimensional Num Py Arrays/03 - Lesson 03.RU.srt 15.7 KB
41 - Working with Seaborn's Categorical Plots/01 - Lesson 01.RU.srt 15.6 KB
28 - Intermediate XPath Concepts/04 - Lesson 04.RU.srt 15.6 KB
31 - Basics of Data Visualization with Matplotlib/02 - Lesson 02.RU.srt 15.6 KB
43 - Machine Learning Algorithms Linear Models/02 - Lesson 02.RU.srt 15.6 KB
48 - Descriptive Statistics In-Depth/01 - Lesson 01.EN.srt 15.5 KB
32 - Working with Scatterplots in Matplotlib/01 - Lesson 01.EN.srt 15.5 KB
53 - SQL Query Fundamentals/01 - Lesson 01.EN.srt 15.4 KB
58 - SQL Subqueries/01 - Lesson 01.RU.srt 15.4 KB
11 - Generating Random Numbers with Num Py and Pandas/04 - Lesson 04.RU.srt 15.3 KB
59 - SQL Transactions and Rollbacks/01 - Lesson 01.RU.srt 15.3 KB
25 - CSS Combinators for Web-Scraping/03 - Lesson 03.RU.srt 15.3 KB
33 - Working with Bar Charts in Matplotlib/03 - Lesson 03.RU.srt 15.3 KB
35 - Statistical Visualization Basics with Matplotlib/01 - Lesson 01.EN.srt 15.3 KB
09 - Basics of Pandas Series/03 - Lesson 03.EN.srt 15.3 KB
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41 - Working with Seaborn's Categorical Plots/04 - Lesson 04.EN.srt 15.1 KB
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57 - Aggregates and Grouping in SQL/04 - Lesson 04.EN.srt 15.1 KB
18 - Transforming Data in Pandas/06 - Lesson 06.EN.srt 15.1 KB
29 - XPath Predicates Basics/05 - Lesson 05.RU.srt 15.0 KB
47 - Basics of Descriptive Statistics/04 - Lesson 04.EN.srt 15.0 KB
56 - SQL Relationships and Joins/07 - Lesson 07.RU.srt 15.0 KB
39 - Introduction to Seaborn/02 - Lesson 02.EN.srt 14.9 KB
25 - CSS Combinators for Web-Scraping/02 - Lesson 02.RU.srt 14.9 KB
13 - Dataset Cleaning in Pandas/01 - Lesson 01.EN.srt 14.9 KB
27 - Introduction to XPath for Web-Scraping/03 - Lesson 03.RU.srt 14.9 KB
01 - Basics of Jupyter Notebooks/04 - Lesson 04.EN.srt 14.8 KB
01 - Basics of Jupyter Notebooks/05 - Lesson 05.EN.srt 14.8 KB
33 - Working with Bar Charts in Matplotlib/04 - Lesson 04.RU.srt 14.8 KB
45 - Machine Learning Algorithms Neural Networks/02 - Lesson 02.EN.srt 14.8 KB
15 - The Basics of Pandas Dataset Grouping/02 - Lesson 02.EN.srt 14.8 KB
37 - Adding Interactivity with Matplotlib Widgets/01 - Lesson 01.EN.srt 14.8 KB
29 - XPath Predicates Basics/01 - Lesson 01.EN.srt 14.8 KB
11 - Generating Random Numbers with Num Py and Pandas/05 - Lesson 05.RU.srt 14.7 KB
53 - SQL Query Fundamentals/02 - Lesson 02.EN.srt 14.7 KB
20 - Sorting Pandas Data Structures/05 - Lesson 05.RU.srt 14.7 KB
52 - Introduction to SQL For Data Analysts/02 - Lesson 02.EN.srt 14.7 KB
56 - SQL Relationships and Joins/04 - Lesson 04.RU.srt 14.6 KB
33 - Working with Bar Charts in Matplotlib/02 - Lesson 02.EN.srt 14.6 KB
47 - Basics of Descriptive Statistics/02 - Lesson 02.EN.srt 14.6 KB
17 - Filtering Data in Pandas/02 - Lesson 02.EN.srt 14.6 KB
34 - Working with Pie Charts in Matplotlib/02 - Lesson 02.EN.srt 14.6 KB
11 - Generating Random Numbers with Num Py and Pandas/03 - Lesson 03.RU.srt 14.6 KB
57 - Aggregates and Grouping in SQL/06 - Lesson 06.RU.srt 14.6 KB
14 - An In-Depth Look At Missing Values/02 - Lesson 02.EN.srt 14.6 KB
34 - Working with Pie Charts in Matplotlib/01 - Lesson 01.RU.srt 14.5 KB
24 - CSS Selectors For Web Scraping/04 - Lesson 04.EN.srt 14.5 KB
37 - Adding Interactivity with Matplotlib Widgets/05 - Lesson 05.EN.srt 14.5 KB
35 - Statistical Visualization Basics with Matplotlib/03 - Lesson 03.EN.srt 14.5 KB
44 - Machine Learning Algorithms K-Means Clustering/01 - Lesson 01.RU.srt 14.5 KB
56 - SQL Relationships and Joins/03 - Lesson 03.RU.srt 14.5 KB
42 - Machine Learning Algorithms K-Nearest Neighbor/03 - Lesson 03.RU.srt 14.4 KB
30 - Advanced XPath Predicates/02 - Lesson 02.EN.srt 14.4 KB
19 - Applying Functions in Pandas/02 - Lesson 02.RU.srt 14.4 KB
39 - Introduction to Seaborn/04 - Lesson 04.EN.srt 14.4 KB
05 - Introduction to Fancy Indexing in Num Py/02 - Lesson 02.EN.srt 14.4 KB
45 - Machine Learning Algorithms Neural Networks/01 - Lesson 01.RU.srt 14.4 KB
20 - Sorting Pandas Data Structures/03 - Lesson 03.EN.srt 14.4 KB
26 - CSS Pseudo-Classes for Web-Scraping/01 - Lesson 01.EN.srt 14.4 KB
36 - Matplotlib Figures In-Depth/04 - Lesson 04.RU.srt 14.4 KB
33 - Working with Bar Charts in Matplotlib/01 - Lesson 01.EN.srt 14.4 KB
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46 - Machine Learning Algorithms Classification Trees/04 - Lesson 04.EN.srt 14.3 KB
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38 - More Matplotlib Widgets/05 - Lesson 05.RU.srt 10.7 KB
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04 - Num Py Array Operations/04 - Lesson 04.EN.srt 6.8 KB
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02 - Introduction to Num Py/06 - Lesson 06.EN.srt 5.8 KB
24 - CSS Selectors For Web Scraping/06 - Lesson 06.RU.srt 5.7 KB
04 - Num Py Array Operations/06 - Lesson 06.EN.srt 5.7 KB
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58 - SQL Subqueries/06 - Lesson 06.EN.srt 4.9 KB
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27 - Introduction to XPath for Web-Scraping/05 - Lesson 05.EN.srt 4.8 KB
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45 - Machine Learning Algorithms Neural Networks/04 - Lesson 04.RU.srt 4.7 KB
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48 - Descriptive Statistics In-Depth/05 - Lesson 05.EN.srt 4.7 KB
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53 - SQL Query Fundamentals/05 - Lesson 05.RU.srt 4.6 KB
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19 - Applying Functions in Pandas/06 - Lesson 06.RU.srt 4.6 KB
46 - Machine Learning Algorithms Classification Trees/05 - Lesson 05.RU.srt 4.5 KB
24 - CSS Selectors For Web Scraping/05 - Lesson 05.RU.srt 4.5 KB
33 - Working with Bar Charts in Matplotlib/06 - Lesson 06.EN.srt 4.4 KB
09 - Basics of Pandas Series/05 - Lesson 05.RU.srt 4.4 KB
02 - Introduction to Num Py/05 - Lesson 05.EN.srt 4.3 KB
29 - XPath Predicates Basics/04 - Lesson 04.RU.srt 4.3 KB
49 - Correlation In Statistics/05 - Lesson 05.RU.srt 4.3 KB
55 - Updating and Deleting Data in SQL/05 - Lesson 05.RU.srt 4.2 KB
24 - CSS Selectors For Web Scraping/06 - Lesson 06.EN.srt 4.2 KB
07 - Basic Data Analysis with Num Py Arrays/05 - Lesson 05.RU.srt 4.1 KB
32 - Working with Scatterplots in Matplotlib/05 - Lesson 05.RU.srt 4.1 KB
13 - Dataset Cleaning in Pandas/05 - Lesson 05.RU.srt 4.1 KB
09 - Basics of Pandas Series/06 - Lesson 06.EN.srt 4.0 KB
60 - Object-Oriented Programming For Data Analysts/05 - Lesson 05.RU.srt 4.0 KB
28 - Intermediate XPath Concepts/05 - Lesson 05.EN.srt 3.9 KB
17 - Filtering Data in Pandas/05 - Lesson 05.RU.srt 3.8 KB
59 - SQL Transactions and Rollbacks/05 - Lesson 05.RU.srt 3.8 KB
40 - Working with Seaborn's Relational Plots/04 - Lesson 04.EN.srt 3.7 KB
36 - Matplotlib Figures In-Depth/05 - Lesson 05.RU.srt 3.7 KB
31 - Basics of Data Visualization with Matplotlib/04 - Lesson 04.EN.srt 3.7 KB
14 - An In-Depth Look At Missing Values/04 - Lesson 04.RU.srt 3.6 KB
23 - Finding Elements with Beautiful Soup/05 - Lesson 05.EN.srt 3.6 KB
12 - Working with Datasets in Pandas/05 - Lesson 05.RU.srt 3.6 KB
30 - Advanced XPath Predicates/04 - Lesson 04.EN.srt 3.6 KB
21 - Introduction to Web Scraping with Beautiful Soup/05 - Lesson 05.RU.srt 3.5 KB
19 - Applying Functions in Pandas/06 - Lesson 06.EN.srt 3.5 KB
53 - SQL Query Fundamentals/05 - Lesson 05.EN.srt 3.4 KB
45 - Machine Learning Algorithms Neural Networks/04 - Lesson 04.EN.srt 3.4 KB
29 - XPath Predicates Basics/04 - Lesson 04.EN.srt 3.4 KB
44 - Machine Learning Algorithms K-Means Clustering/06 - Lesson 06.EN.srt 3.3 KB
17 - Filtering Data in Pandas/06 - Lesson 06.EN.srt 3.3 KB
20 - Sorting Pandas Data Structures/06 - Lesson 06.EN.srt 3.3 KB
24 - CSS Selectors For Web Scraping/05 - Lesson 05.EN.srt 3.3 KB
16 - Intermediate Dataset Grouping/04 - Lesson 04.RU.srt 3.3 KB
35 - Statistical Visualization Basics with Matplotlib/04 - Lesson 04.RU.srt 3.2 KB
58 - SQL Subqueries/05 - Lesson 05.RU.srt 3.2 KB
55 - Updating and Deleting Data in SQL/05 - Lesson 05.EN.srt 3.2 KB
19 - Applying Functions in Pandas/05 - Lesson 05.RU.srt 3.1 KB
09 - Basics of Pandas Series/05 - Lesson 05.EN.srt 3.1 KB
46 - Machine Learning Algorithms Classification Trees/05 - Lesson 05.EN.srt 3.1 KB
43 - Machine Learning Algorithms Linear Models/05 - Lesson 05.EN.srt 3.1 KB
32 - Working with Scatterplots in Matplotlib/05 - Lesson 05.EN.srt 3.0 KB
52 - Introduction to SQL For Data Analysts/05 - Lesson 05.RU.srt 3.0 KB
49 - Correlation In Statistics/05 - Lesson 05.EN.srt 2.9 KB
37 - Adding Interactivity with Matplotlib Widgets/04 - Lesson 04.EN.srt 2.9 KB
13 - Dataset Cleaning in Pandas/05 - Lesson 05.EN.srt 2.9 KB
36 - Matplotlib Figures In-Depth/05 - Lesson 05.EN.srt 2.8 KB
60 - Object-Oriented Programming For Data Analysts/05 - Lesson 05.EN.srt 2.8 KB
50 - Inferential Statistics Fundamentals/04 - Lesson 04.RU.srt 2.7 KB
17 - Filtering Data in Pandas/05 - Lesson 05.EN.srt 2.7 KB
56 - SQL Relationships and Joins/06 - Lesson 06.RU.srt 2.6 KB
12 - Working with Datasets in Pandas/05 - Lesson 05.EN.srt 2.6 KB
07 - Basic Data Analysis with Num Py Arrays/05 - Lesson 05.EN.srt 2.6 KB
20 - Sorting Pandas Data Structures/07 - Lesson 07.RU.srt 2.6 KB
34 - Working with Pie Charts in Matplotlib/04 - Lesson 04.RU.srt 2.5 KB
21 - Introduction to Web Scraping with Beautiful Soup/05 - Lesson 05.EN.srt 2.5 KB
33 - Working with Bar Charts in Matplotlib/05 - Lesson 05.RU.srt 2.5 KB
14 - An In-Depth Look At Missing Values/04 - Lesson 04.EN.srt 2.5 KB
58 - SQL Subqueries/05 - Lesson 05.EN.srt 2.4 KB
59 - SQL Transactions and Rollbacks/05 - Lesson 05.EN.srt 2.4 KB
35 - Statistical Visualization Basics with Matplotlib/04 - Lesson 04.EN.srt 2.4 KB
61 - PEP Guidelines For Data Analysts/05 - Lesson 05.RU.srt 2.3 KB
16 - Intermediate Dataset Grouping/04 - Lesson 04.EN.srt 2.3 KB
19 - Applying Functions in Pandas/05 - Lesson 05.EN.srt 2.2 KB
47 - Basics of Descriptive Statistics/05 - Lesson 05.RU.srt 2.1 KB
52 - Introduction to SQL For Data Analysts/05 - Lesson 05.EN.srt 2.1 KB
51 - Bootstrapping and Other Inferential Strategies/05 - Lesson 05.RU.srt 2.1 KB
41 - Working with Seaborn's Categorical Plots/05 - Lesson 05.RU.srt 1.9 KB
56 - SQL Relationships and Joins/06 - Lesson 06.EN.srt 1.9 KB
50 - Inferential Statistics Fundamentals/04 - Lesson 04.EN.srt 1.9 KB
54 - Managing Data in SQL Tables/05 - Lesson 05.RU.srt 1.9 KB
39 - Introduction to Seaborn/05 - Lesson 05.RU.srt 1.8 KB
34 - Working with Pie Charts in Matplotlib/04 - Lesson 04.EN.srt 1.8 KB
20 - Sorting Pandas Data Structures/07 - Lesson 07.EN.srt 1.8 KB
61 - PEP Guidelines For Data Analysts/05 - Lesson 05.EN.srt 1.7 KB
33 - Working with Bar Charts in Matplotlib/05 - Lesson 05.EN.srt 1.7 KB
47 - Basics of Descriptive Statistics/05 - Lesson 05.EN.srt 1.5 KB
41 - Working with Seaborn's Categorical Plots/05 - Lesson 05.EN.srt 1.5 KB
51 - Bootstrapping and Other Inferential Strategies/05 - Lesson 05.EN.srt 1.3 KB
54 - Managing Data in SQL Tables/05 - Lesson 05.EN.srt 1.3 KB
39 - Introduction to Seaborn/05 - Lesson 05.EN.srt 1.3 KB

CBTNuggets - Certified Associate Data Analyst with Python (PCAD™)

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