One person per group, click on comments below and write your lab data similar to the first comment:
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One person per group, click on comments below and write your lab data similar to the first comment:
How CS Matters in Maryland uses Python to teach the data unit.
Click here or here and go to unit 4. Slides for example. Watch and respond to your choice of Ted Talks. Ten videos to choose from: 1. Insights Gained From Book Data: http://www.ted.com/talks/what_we_learned_from_5_million_books 2. Keeping Users Safe on Twitter: http://www.ted.com/talks/del_harvey_the_strangeness_of_scale_at_twitter 3. Using Data for Machine Learning: http://www.ted.com/talks/kenneth_cukier_big_data_is_better_data 4. The Beauty in Data Visualization: http://www.ted.com/talks/david_mccandless_the_beauty_of_data_visualization 5. Managing and Understanding Big Data: http://www.ted.com/talks/susan_etlinger_what_do_we_do_with_all_this_big_data 6. Changes in How We Collect Health Data: http://www.ted.com/talks/joel_selanikio_the_surprising_seeds_of_a_big_data_revolution_in_healt hcare 7. Ranking Parking Spaces in New York City: http://www.ted.com/talks/ben_wellington_how_we_found_the_worst_place_to_park_in_new_yor k_city_using_big_data 8. Using Big Data to Predict Business Trends http://www.ted.com/talks/philip_evans_how_data_will_transform_business 9. Creating Statistics From Data and Using Them to Fight Crime: https://www.ted.com/talks/anne_milgram_why_smart_statistics_are_the_key_to_fighting_crime?l anguage=en 10. Using Crowdsourcing to Visualize ata: http://www.ted.com/talks/aaron_koblin R versus Python! http://www.infoworld.com/article/2951779/application-development/in-data-science-the-r-language-is-swallowing-python.html Click comment below to submit a name of a woman you'd like to see on our worksheets for this unit. (March is Women's History Month.)
Harley, Mairin, Ahkeem, Siti, Mr Genest (by Jonas), Linda, Olivia Lue, Stephanie, JJ, Cheenou Ethan Olson, Alberto, Elvin, Wa, Quinn, Fernanda, Trinity
Post both partners names as a comment as follows:
#1 Names #2 Mass of Iron Mass of Copper precipitate #3 MOLES of iron, MOLES of copper Post both partners names as a comment as follows:
#1 Names #2 Mass of Iron Mass of Copper precipitate #3 MOLES of iron, MOLES of copper Post both partners names as a comment as follows:
#1 Names #2 Mass of Iron Mass of Copper precipitate #3 MOLES of iron, MOLES of copper |
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