Complete Python for Data Analysis
Focused View
13:20:41
5 View
01-section 1 introduction.mp4
00:54
02-application download and installation.mp4
00:39
03-install python on windows.mp4
02:45
04-installing python on macbook.mp4
05:02
05-python files.mp4
00:37
06-section 2-data types and variables.mp4
00:31
07-what is python.mp4
03:27
08-data types.mp4
12:32
09-variables.mp4
04:59
10-section 3 operators and numbers.mp4
00:15
11-operators.mp4
03:34
12-numbers in python.mp4
02:01
13-string data type.mp4
04:44
14-section 4 using strings in python.mp4
00:19
15-string methods.mp4
14:43
16-string operators.mp4
05:21
17-section 5 slicing format function and casting.mp4
00:40
18-slice.mp4
07:24
19-format function.mp4
04:42
20-casting.mp4
04:20
21-bill payment system-project.mp4
08:36
22-section 6 list data structure.mp4
00:16
23-list-data structure.mp4
12:21
24-list methods.mp4
11:09
25-section 7 control flow.mp4
00:25
26-if statement.mp4
06:24
27-guessing game project-part 1.mp4
09:20
28-while loops.mp4
08:07
29-guessing game-part 2.mp4
06:22
30-for loops.mp4
07:04
31-break and continue statement.mp4
08:54
32-section 8 tuple data structure.mp4
00:10
33-tuples-data structure.mp4
09:49
34-section 9 dictionary data structure.mp4
00:24
35-dictionary.mp4
09:11
36-dictionary methods.mp4
07:15
37-create list inside a dictionary.mp4
06:59
38-concert ticket project.mp4
17:12
39-section 10 functions.mp4
00:18
40-python built-in functions.mp4
07:23
41-user defined functions.mp4
15:09
42-variable scope.mp4
08:06
43-unpack data-args.mp4
14:14
44-unpack dictionaries-kwargs.mp4
03:36
45-section 11 series.mp4
00:25
46-introduction to series.mp4
02:12
47-create series from list.mp4
05:27
48-create series from tuple.mp4
01:40
49-create series from dictionary.mp4
05:27
50-create series from csv dataset.mp4
10:09
51-head and tail method.mp4
02:24
52-count and describe method.mp4
04:57
53-sort values ( ).mp4
04:05
54-inplace parameter.mp4
03:42
55-sort index ( ).mp4
04:16
56-retrieve records by index position.mp4
03:06
57-retrieve records by index label.mp4
07:28
58-retrieve records-get ( ).mp4
05:23
59-use attributes on series.mp4
05:10
60-section 12 dataframe i.mp4
00:22
61-introduction to dataframe.mp4
02:20
62-create dataframe from list.mp4
05:22
63-create dataframe from dictionary of list.mp4
02:23
64-create dataframe from imported file.mp4
08:00
65-retrieve single column.mp4
04:56
66-retrieve multiple columns.mp4
03:43
67-add new column.mp4
06:38
68-delete column(s).mp4
03:49
69-find sum of null values.mp4
02:46
70-drop rows with missing values.mp4
09:36
71-replace missing values-fillna ( ).mp4
04:02
72-broadcasting operation.mp4
07:23
73-count unique occurrences-value count ( ) .mp4
02:46
74-sort values-sort values ( ).mp4
06:41
75-sort dataframe by index-sort index ( ).mp4
01:39
76-remove and replace missing values.mp4
06:39
77-change data type-astype ( ).mp4
05:06
78-section 13 dataframe ii.mp4
00:09
79-optimizing dataset.mp4
12:23
80-refine dataset by a condition.mp4
11:23
81-refine dataset by multiple conditions-and condition.mp4
06:37
82-select specific columns after condition.mp4
04:08
83-refine dataframe using multiple conditions-or condition.mp4
05:06
84-retrieve rows having specific values-isin ( ).mp4
03:59
85-return null and not null values-isnull ( ) and notnull ( ).mp4
02:31
86-return values within range-between ( ).mp4
02:42
87-retrieve duplicate records-duplicated ( ).mp4
08:15
88-delete duplicate records-drop duplicates ( ).mp4
03:55
89-unique ( ) and nunique ( ).mp4
04:13
90-section 14 dataframe iii.mp4
00:06
91-optimize dataset.mp4
04:34
92-set index ( ) and reset index ( ).mp4
05:56
93-retrieve rows by index label .loc accessor.mp4
08:11
94-retrieve rows by index position .iloc accessor.mp4
05:28
95-return specific index label values.mp4
04:31
96-change values in a cell.mp4
03:29
97-change values of unique groups.mp4
04:42
98-change label or column name-rename ( ).mp4
04:48
99-delete rows or columns-drop ( ).mp4
03:11
100-retrieve random sample from dataframe.mp4
02:50
101-retrieve smallest or largest values.mp4
03:26
102-rank values-rank ( ).mp4
06:16
103-create a copy of dataset.mp4
04:50
104-section 15 manipulating text data.mp4
00:19
105-optimizing text data.mp4
04:03
106-change case-upper ( ) lower ( ) title ( ) capitalize ( ).mp4
04:28
107-remove white spaces-lstrip ( ) rstrip ( ) strip ( ).mp4
03:54
108-replace characters in a column.mp4
03:41
109-filter dataframe for specific values-contains ( ).mp4
04:13
110-split string columns i.mp4
05:50
111-split string columns ii.mp4
05:03
112-section 16 multi index in dataframe.mp4
00:17
113-create multi index.mp4
07:27
114-sort multi-index.mp4
04:36
115-retrieve records from multi-index dataframe.mp4
05:01
116-stack ( ) and unstack ( ).mp4
01:57
117-aggregate values using pivot table ( ).mp4
10:21
118-section 17 groupby object.mp4
00:16
119-groupby object i.mp4
06:29
120-groupby object ii.mp4
06:15
121-get group ( ).mp4
02:55
122-group by multiple columns.mp4
03:08
123-pass different operation-agg ( ).mp4
04:26
124-for loop and groupby object.mp4
11:10
125-section 18 data relationship.mp4
11:16
126-what is data relationship .mp4
00:19
127-data normalization.mp4
07:27
128-introduction to join.mp4
04:53
129-inner join i.mp4
04:55
130-inner join ii.mp4
09:05
131-left join.mp4
08:25
132-right join.mp4
02:25
133-outer join.mp4
02:28
134-merge more than 2 dataframes.mp4
10:59
135-many to many data relationship.mp4
12:07
136-left on ( ) and right on ( ).mp4
06:07
137-combine dataframes-pd.concat ( ).mp4
07:25
138-section 19 date and time.mp4
00:14
139-working with date and time.mp4
08:21
140-pandas timestamp object.mp4
05:52
141-to datetime ( ).mp4
08:20
142-pd.date range ( ) i.mp4
06:40
143-pd.date range ( ) ii.mp4
03:57
144-dt.accessor.mp4
12:26
145-format datetime objects-dt.strftime ( ) i.mp4
07:04
146-dt.strftime ( ) ii.mp4
04:26
147-section 20 import and export dataset.mp4
00:21
148-import dataset from url.mp4
07:07
149-export dataset as files.mp4
07:41
150-section 21 conclusion.mp4
00:26
151-next steps.mp4
08:12
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- language english
- Training sessions 151
- duration 13:20:41
- Release Date 2024/03/01
