RAR-files |
skillshare.the.complete.exploratory.analysis.course.with.pandas.2021-skilledhares.rar |
300,000,000 |
0CC95D7B |
skillshare.the.complete.exploratory.analysis.course.with.pandas.2021-skilledhares.r00 |
300,000,000 |
796FD583 |
skillshare.the.complete.exploratory.analysis.course.with.pandas.2021-skilledhares.r01 |
300,000,000 |
AF99A0A7 |
skillshare.the.complete.exploratory.analysis.course.with.pandas.2021-skilledhares.r02 |
300,000,000 |
86326521 |
skillshare.the.complete.exploratory.analysis.course.with.pandas.2021-skilledhares.r03 |
300,000,000 |
45B427A9 |
skillshare.the.complete.exploratory.analysis.course.with.pandas.2021-skilledhares.r04 |
300,000,000 |
E50FD86E |
skillshare.the.complete.exploratory.analysis.course.with.pandas.2021-skilledhares.r05 |
300,000,000 |
250C15AD |
skillshare.the.complete.exploratory.analysis.course.with.pandas.2021-skilledhares.r06 |
300,000,000 |
88CE5BB5 |
skillshare.the.complete.exploratory.analysis.course.with.pandas.2021-skilledhares.r07 |
300,000,000 |
9B805FF8 |
skillshare.the.complete.exploratory.analysis.course.with.pandas.2021-skilledhares.r08 |
300,000,000 |
3AFCEB04 |
skillshare.the.complete.exploratory.analysis.course.with.pandas.2021-skilledhares.r09 |
60,740,698 |
C06364BC |
|
Total size: |
3,060,740,698 |
|
|
Archived
files |
01-course_structure.mkv
[24b8297691b9e102]
|
10,764,257 |
02C477E4 |
02-what_is_the_prerequisite_of_this_course.mkv
[877e4497de1e5eaa]
|
7,519,613 |
38055BB3 |
03-how_to_make_the_most_out_of_this_course.mkv
[a0f64d0f14450ef6]
|
10,117,350 |
01E1EF0D |
04-important_note_about_tools_in_this_course.mkv
[adc6d2c472c41066]
|
6,264,743 |
2C1A0D1E |
05-using_advanced_options_while_reading_data_from_csv_files.mkv
[559568407bfed9a2]
|
207,352,699 |
AFC9E27D |
06-reading_data_from_excel_files.mkv
[13cc65689b0c00b3]
|
257,454,455 |
1BB25F6F |
07-reading_data_from_other_popular_formats.mkv
[cd68d7e7b749d7ff]
|
177,142,682 |
AFD7BC31 |
08-introduction_to_datasets.mkv
[a6c837db420bcbe5]
|
74,072,013 |
0811D657 |
09-sorting_a_pandas_dataframe.mkv
[34285eaff67a5cd3]
|
135,839,686 |
1DB6B740 |
10-filtering_rows_of_a_pandas_dataframe.mkv
[d4537379c494e9b9]
|
104,076,588 |
9C8AC7F6 |
11-applying_multiple_filter_criteria_to_a_pandas_dataframe.mkv
[b96258aa2f9338ba]
|
180,129,496 |
31316053 |
12-using_the_axis_parameter_in_pandas.mkv
[e51ac7b74447d014]
|
121,436,507 |
A9EEF69A |
13-using_string_methods_in_pandas.mkv
[61e7d3e6b6de3f53]
|
79,654,982 |
25472FA8 |
14-changing_the_datatype_of_a_pandas_series.mkv
[7cb5cba9f1631215]
|
95,829,327 |
DD39F61C |
15-summary_of_what_we_have_done_so_far.mkv
[9ca67c1143d48b2b]
|
22,054,163 |
B34A42A5 |
16-modifying_a_pandas_dataframe_using_the_inplace_parameter.mkv
[9f0997a446f06aa4]
|
136,543,990 |
1CE3BD3E |
17-using_the_groupby_method.mkv
[c66976de9c2ecf5b]
|
163,941,182 |
36EC023A |
18-handling_missing_values_in_pandas.mkv
[aa78b9dcef4c3176]
|
135,395,288 |
70754CEA |
19-indexing_in_pandas_dataframes.mkv
[233b8a82fdf84fb8]
|
91,987,345 |
C48ACB6B |
20-renaming_columns_in_a_pandas_dataframe.mkv
[d5f7ef1ae52a85f]
|
94,408,740 |
8F767F44 |
21-removing_columns_from_a_pandas_dataframe.mkv
[c38f88103922e76d]
|
94,426,620 |
415319BF |
22-working_with_date_and_time_series_data.mkv
[545199ef20c323ee]
|
125,984,589 |
73C13AA7 |
23-applying_a_function_to_a_pandas_series_or_dataframe.mkv
[62537538ed193570]
|
74,806,946 |
8D6AA4C4 |
24-merging_and_concatenating_multiple_dataframes_into_one.mkv
[14f944524b223923]
|
111,214,609 |
04E818E8 |
25-summary_of_what_we_have_done_so_far.mkv
[1728cbd88b35d5c6]
|
10,246,039 |
E7566F56 |
26-controlling_plot_aesthetics.mkv
[11005d76f3b94c3e]
|
191,592,032 |
FAD7B41A |
27-choosing_the_colors_for_plots.mkv
[96a6d07105360504]
|
107,384,694 |
C376B016 |
28-plotting_categorical_data.mkv
[9d6277c67c1f9d1d]
|
74,656,898 |
0535443B |
29-plotting_with_data-aware_grids.mkv
[2c29994d478f87f6]
|
130,551,504 |
3F7E6D58 |
30-summary_of_what_we_have_done_so_far.mkv
[a283d08d6047cbb5]
|
7,533,258 |
37F90B61 |
31-thank_you.mkv
[99aa5b987bc4fb96]
|
20,354,694 |
29B4C66C |
|
Total size: |
3,060,736,989 |
|
|