RAR-files |
linkedin.learning.data.fluency.exploring.and.describing.data-xqzt.rar |
100,000,000 |
5EFBA944 |
linkedin.learning.data.fluency.exploring.and.describing.data-xqzt.r00 |
100,000,000 |
6FF4115C |
linkedin.learning.data.fluency.exploring.and.describing.data-xqzt.r01 |
100,000,000 |
9E6A55F8 |
linkedin.learning.data.fluency.exploring.and.describing.data-xqzt.r02 |
100,000,000 |
602C2F78 |
linkedin.learning.data.fluency.exploring.and.describing.data-xqzt.r03 |
100,000,000 |
4F131B57 |
linkedin.learning.data.fluency.exploring.and.describing.data-xqzt.r04 |
100,000,000 |
078EDB63 |
linkedin.learning.data.fluency.exploring.and.describing.data-xqzt.r05 |
100,000,000 |
1BD228AB |
linkedin.learning.data.fluency.exploring.and.describing.data-xqzt.r06 |
93,676,691 |
12BEFC0C |
|
Total size: |
793,676,691 |
|
|
Archived
files |
01.01-make_better_decisions_with_your_data.mkv
[4490fea9e0ff39d2]
|
14,206,747 |
191B10BB |
02.01-the_meaning_of_data_fluency.mkv
[1855d3a81bd39dc5]
|
23,661,327 |
E4615B5E |
02.02-data_fluency_is_for_everyone.mkv
[25ca77911e5ed907]
|
6,240,434 |
8B65B983 |
02.03-data_fluency_in_practice.mkv
[f214b9f5d2f047e4]
|
21,434,078 |
8C4F5773 |
02.04-making_intuitive_thinking_explicit.mkv
[c445c6adac985b4d]
|
12,410,714 |
0D34B642 |
02.05-thinking_about_causes.mkv
[83ab9a032342189d]
|
11,701,988 |
7F386180 |
02.06-how_to_develop_data_fluency.mkv
[ba9c6ca84308db66]
|
12,178,430 |
66E4ED26 |
02.07-data-driven_decision-making.mkv
[da54bea232548563]
|
26,930,119 |
7DBF3E46 |
02.08-roi_and_the_8020_rule_for_data_fluency.mkv
[f235dc058d012820]
|
11,578,013 |
DCB75995 |
02.09-putting_data_in_context.mkv
[38d828445c58f964]
|
17,274,946 |
B1FBCC40 |
03.01-data_ethics.mkv
[d406f08572f92a2b]
|
18,285,280 |
A18747E8 |
03.02-use_in-house_data.mkv
[74ae14e63eaecfb6]
|
10,829,799 |
E34D4E0B |
03.03-use_open_data.mkv
[9816319cfc7e67fe]
|
18,069,006 |
F2F73F1B |
03.04-gather_new_data.mkv
[9954f251ac741073]
|
18,215,225 |
42ED681C |
03.05-use_third-party_data.mkv
[3a9140e33a401bfe]
|
11,858,637 |
D3D609A9 |
03.06-assess_the_quality_of_data.mkv
[1b16f45ea6f9b867]
|
14,831,300 |
2632A90B |
03.07-assess_the_generalizability_of_data.mkv
[bad21ad85b770a32]
|
18,566,377 |
DE17EB25 |
03.08-assess_the_meaning_of_data.mkv
[696718dfc8b0da01]
|
8,129,054 |
02D94992 |
03.09-assess_the_ambiguities_in_data.mkv
[fc471a8d35f86edd]
|
13,282,354 |
EE2C542D |
04.01-sort_data.mkv
[b496898bd51fab5f]
|
21,248,433 |
A9682ED1 |
04.02-filter_data.mkv
[9968f8751ee8a81e]
|
15,484,110 |
5C912FA0 |
04.03-combine_and_split_categories.mkv
[9a5b533ac585a494]
|
14,676,519 |
B9E7630A |
04.04-code_text.mkv
[be9f248ed4bc6a50]
|
23,801,855 |
9AF3F833 |
04.05-calculate_sums_and_means.mkv
[ae829fff50b87a88]
|
16,506,376 |
D8812FC9 |
04.06-calculate_rates.mkv
[f355247a65642368]
|
13,232,112 |
6F5A2AA8 |
04.07-calculate_ratios.mkv
[9340add745611306]
|
10,867,052 |
484BDE96 |
04.08-adjust_ratios_in_practice.mkv
[89bbf4ef54f3150a]
|
8,400,920 |
FED297AD |
05.01-visual_primacy_the_importance_of_starting_with_pictures.mkv
[bad5d9ecd044bd72]
|
24,380,598 |
D27C5E7B |
05.02-bar_charts.mkv
[27cebfff94eb76da]
|
12,774,390 |
BEC4F78F |
05.03-grouped_bar_charts.mkv
[3921963ecad4081a]
|
13,260,086 |
6EC076DB |
05.04-pie_charts.mkv
[c1a90ad6a53e6dae]
|
21,064,741 |
9D07360A |
05.05-dot_plots.mkv
[79169c5bc0709ae]
|
14,281,057 |
3342FD19 |
05.06-box_plots.mkv
[3ee90b37a7533488]
|
12,152,630 |
92CB0C7F |
05.07-histograms.mkv
[a3cc6a5e16f52458]
|
8,366,126 |
0B027477 |
05.08-line_charts.mkv
[1ff714ff7a710abe]
|
16,564,275 |
6CA9CCCD |
05.09-sparklines.mkv
[87bca6f09d0e54e5]
|
11,483,422 |
7B052667 |
05.10-scatterplots.mkv
[ecaabb06691e45cf]
|
15,511,993 |
050AC9E7 |
05.11-data_maps.mkv
[5d7426b047ce9c67]
|
6,923,192 |
F619E227 |
06.01-numerical_descriptions.mkv
[870e609666b05d7e]
|
3,696,435 |
E65D8BCE |
06.02-describe_measures_of_center.mkv
[ee019b270e5a2aba]
|
18,035,983 |
B88EB01F |
06.03-describe_variability_with_the_range_and_iqr.mkv
[d5b45da58d9ccdea]
|
9,316,776 |
7B2B930B |
06.04-describe_variability_with_the_variance_and_standard_deviation.mkv
[7d4bec459eb5764a]
|
12,234,846 |
513D2065 |
06.05-rescale_data_with_z-scores.mkv
[ece0258c8032d2f3]
|
9,912,114 |
1C22161B |
06.06-interpret_z-scores.mkv
[4b1d8700a4dbb194]
|
13,189,870 |
CA51CA85 |
06.07-describe_group_differences_with_effect_sizes.mkv
[310e42a553202b9b]
|
16,683,345 |
F5C340C9 |
06.08-predict_scores_with_regression.mkv
[e5b062ae7ec4350c]
|
13,713,025 |
949183C0 |
06.09-describe_associations_with_correlations.mkv
[7512a2fa465cacb9]
|
11,598,347 |
D954D055 |
06.10-effect_size_for_correlation_and_regression.mkv
[2c42c045783dfa23]
|
9,010,582 |
49DBA2BA |
06.11-exploring_tables.mkv
[2a353c9ea9a865e3]
|
22,495,153 |
7D84065A |
07.01-basic_probability.mkv
[7378756e55d4a32c]
|
16,227,946 |
3DC90075 |
07.02-conditional_probability.mkv
[5594d7caf883d94c]
|
10,708,498 |
C6D2A29A |
07.03-expected_values.mkv
[da2ededb34216794]
|
15,363,250 |
82FB03A9 |
07.04-sampling_variation.mkv
[73ed1ddc294bb113]
|
10,191,132 |
5A861413 |
07.05-inference_as_describing_populations.mkv
[c7d2575b9e225739]
|
11,210,802 |
85D91302 |
08.01-next_steps_and_additional_resources.mkv
[1ffa328394398ad2]
|
19,234,973 |
8394D458 |
Ex_Files_Data_Fluency_Exploring_and_Describing.zip |
185,156 |
30F0F8CF |
|
Total size: |
793,671,948 |
|
|