Python for Data Analysis step-by-step with projects
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8:48:12
12 View
01 Preview the course!.mp4
04:03
02 Course overview.mp4
05:31
03 Python crash course Setting up Python environment.mp4
07:19
04 Python crash course Overview of data types, numeric, define variables.mp4
08:19
05 Python crash course Strings, common functions and methods.mp4
14:31
06 Python crash course Lists, tuples, sets, dictionaries, booleans.mp4
13:56
07 Python crash course if statements, loops.mp4
19:11
08 Python crash course Define functions, use packages.mp4
15:11
09 Pandas data structures overview.mp4
14:32
10 Loading data.mp4
08:00
11 Previewing data.mp4
06:30
12 Pandas data types overview.mp4
17:43
13 Exporting data.mp4
06:32
14 Combining datasets.mp4
13:49
15 Renaming columns.mp4
07:42
16 Selecting columns.mp4
04:19
17 Selecting rows and setting the index (1).mp4
14:36
18 Selecting rows and setting the index (2).mp4
13:38
19 Subsetting both rows and columns.mp4
10:24
20 Modifying values.mp4
14:11
21 Making a copy.mp4
05:54
22 Sorting data.mp4
10:14
23 Data cleaning overview.mp4
02:15
24 Removing unnecessary columns rows.mp4
10:58
25 Missing data overview.mp4
17:02
26 Tackling missing data (dropping).mp4
08:14
27 Tackling missing data (imputing with constant).mp4
18:03
28 Tackling missing data (imputing with statistics) and Missing Indicators.mp4
20:05
29 Tackling missing data (imputing with model).mp4
07:38
30 Handling outliers (1).mp4
15:23
31 Handling outliers (2).mp4
15:57
32 Cleaning text.mp4
15:39
33 Extracting date and time.mp4
20:19
34 Binning.mp4
17:55
35 EDA overview.mp4
02:42
36 Aggregating statistics.mp4
23:09
37 Grouping by.mp4
21:48
38 Distribution of one feature.mp4
17:20
39 Seaborn library overview.mp4
14:03
40 Relationship of two features (1).mp4
11:38
41 Relationship of two features (2).mp4
16:28
42 Relationship of multiple features.mp4
11:40
43 Seaborn library recap.mp4
03:15
44 Congrats and thank you!.mp4
00:36
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View courses SkillShareSkillshare is an online learning community based in the United States for people who want to learn from educational videos. The courses, which are not accredited, are only available through paid subscription.
- language english
- Training sessions 44
- duration 8:48:12
- English subtitles has
- Release Date 2024/02/13
