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0
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955.5 KB
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1 - PART 1.mp4
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MP4
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18 MB
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2
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359.3 KB
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3
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855.7 KB
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4
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399.4 KB
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5
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186.5 KB
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6
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532.8 KB
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7
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249.3 KB
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8
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324.7 KB
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9
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860.7 KB
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10
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474.5 KB
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10 - Chapter 2. Global Aerospace Dynamics - The giant government contractor.mp4
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MP4
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67.3 MB
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11 - Chapter 2. Putting it all together.mp4
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MP4
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44.9 MB
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2 - Chapter 1. What is data science.mp4
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MP4
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101.8 MB
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3 - Chapter 1. Databases_programming.mp4
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MP4
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77.4 MB
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4 - Chapter 1. Different types of data science jobs.mp4
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MP4
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86 MB
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5 - Chapter 1. Choosing your path.mp4
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MP4
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69.1 MB
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6 - Chapter 2. Data science companies.mp4
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MP4
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78.9 MB
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7 - Chapter 2. HandbagLOVE - The established retailer.mp4
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MP4
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55.6 MB
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11
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290.2 KB
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12 - Chapter 3. Getting the skills.mp4
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MP4
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50.2 MB
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12
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951.8 KB
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13 - Chapter 3. Choosing the school.mp4
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MP4
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64.7 MB
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13
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807.7 KB
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14
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965.9 KB
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14 - Chapter 3. Getting into an academic program.mp4
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MP4
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50.1 MB
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15 - Chapter 3. Going through a bootcamp.mp4
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MP4
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68.7 MB
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15
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400.8 KB
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16
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716.7 KB
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16 - Chapter 3. Getting data science work within your company.mp4
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MP4
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64.5 MB
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17
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27.8 KB
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17 - Chapter 3. Teaching yourself.mp4
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MP4
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49.9 MB
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18
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388.8 KB
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18 - Chapter 3. Interview with Julia Silge, data scientist and software engineer at RStudio.mp4
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MP4
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49.1 MB
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19 - Chapter 4. Building a portfolio.mp4
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MP4
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80.4 MB
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19
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534.4 KB
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20 - Chapter 4. Choosing a direction.mp4
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MP4
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30.6 MB
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20
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956.8 KB
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21
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180.2 KB
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21 - Chapter 4. Starting a blog.mp4
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MP4
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69.3 MB
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22 - Chapter 4. Working on example projects.mp4
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MP4
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52.2 MB
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22
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63.7 KB
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23 - Chapter 4. Interview with David Robinson, data scientist.mp4
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MP4
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71.2 MB
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23
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37 KB
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24
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597.2 KB
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24 - PART 2.mp4
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MP4
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12.3 MB
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25 - Chapter 5. The search - Identifying the right job for you.mp4
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MP4
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43.8 MB
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25
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703.7 KB
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26 - Chapter 5. Decoding descriptions.mp4
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MP4
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91.1 MB
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26
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713.5 KB
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27 - Chapter 5. Attending meetups.mp4
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MP4
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72.2 MB
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28 - Chapter 5. Deciding which jobs to apply for.mp4
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MP4
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87.3 MB
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28
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43.6 KB
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29
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142 KB
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29 - Chapter 6. The application - Résumés and cover letters.mp4
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MP4
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32.3 MB
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30 - Chapter 6. Structure.mp4
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MP4
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97.5 MB
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30
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950.3 KB
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31 - Chapter 6. Deeper into the experience section - generating content.mp4
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MP4
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35.4 MB
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31
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420.9 KB
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32
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662.7 KB
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32 - Chapter 6. Cover letters - The basics.mp4
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MP4
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65.7 MB
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33 - Chapter 6. Referrals.mp4
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MP4
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73.1 MB
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33
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278.5 KB
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34
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930.5 KB
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34 - Chapter 7. The interview - What to expect and how to handle it.mp4
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MP4
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71.9 MB
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35
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311.7 KB
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35 - Chapter 7. Step 1 - The initial phone screen interview.mp4
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MP4
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50 MB
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36 - Chapter 7. Step 2 - The on-site interview.mp4
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MP4
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56.6 MB
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36
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546.4 KB
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37
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159.1 KB
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37 - Chapter 7. The technical interview.mp4
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MP4
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113.6 MB
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38 - Chapter 7. The behavioral interview.mp4
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MP4
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44.1 MB
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38
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900.2 KB
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39
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926.1 KB
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39 - Chapter 7. Step 3 - The case study.mp4
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MP4
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95.7 MB
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40
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840.4 KB
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40 - Chapter 7. The offer.mp4
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MP4
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56.2 MB
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41
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54.7 KB
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41 - Chapter 8. The offer - Knowing what to accept.mp4
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MP4
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67.6 MB
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42
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820.9 KB
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42 - Chapter 8. Negotiation.mp4
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MP4
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78.1 MB
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43 - Chapter 8. How much you can negotiate.mp4
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MP4
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62.2 MB
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43
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701.1 KB
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44
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728.2 KB
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44 - Chapter 8. Negotiation tactics.mp4
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MP4
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61 MB
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45
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890.1 KB
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45 - Chapter 8. Interview with Brooke Watson Madubuonwu, senior data scientist at the ACLU.mp4
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MP4
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63.1 MB
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46
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280.2 KB
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46 - PART 3.mp4
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MP4
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9.8 MB
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47 - Chapter 9. The first months on the job.mp4
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MP4
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38.5 MB
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47
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402.7 KB
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48 - Chapter 9. Understanding and setting expectations.mp4
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MP4
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45.7 MB
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48
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714.9 KB
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49 - Chapter 9. Knowing your data.mp4
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MP4
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79 MB
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49
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115.2 KB
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50 - Chapter 9. Becoming productive.mp4
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MP4
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61.4 MB
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50
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265.8 KB
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51 - Chapter 9. Building relationships.mp4
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MP4
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41.9 MB
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51
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91 KB
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52 - Chapter 9. If you’re the first data scientist.mp4
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MP4
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50.9 MB
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52
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309.7 KB
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53 - Chapter 9. The work environment is toxic.mp4
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MP4
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62.8 MB
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53
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463.9 KB
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54
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764.9 KB
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54 - Chapter 9. Interview with Jarvis Miller, data scientist at Spotify.mp4
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MP4
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41.1 MB
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55
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874.2 KB
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55 - Chapter 10. Making an effective analysis.mp4
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MP4
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66.9 MB
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56
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185.7 KB
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56 - Chapter 10. The request.mp4
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MP4
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69.3 MB
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57 - Chapter 10. Doing the analysis.mp4
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MP4
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76.1 MB
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57
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390.3 KB
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58
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799.3 KB
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58 - Chapter 10. Important points for exploring and modeling.mp4
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MP4
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76.7 MB
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59 - Chapter 10. Wrapping it up.mp4
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MP4
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102.5 MB
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59
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569.9 KB
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60 - Chapter 11. Deploying a model into production.mp4
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MP4
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62.6 MB
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61 - Chapter 11. Making the production system.mp4
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MP4
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83.5 MB
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61
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555.8 KB
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62 - Chapter 11. Building an API.mp4
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MP4
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77.6 MB
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62
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803.4 KB
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63 - Chapter 11. Deploying an API.mp4
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MP4
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79 MB
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63
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445.9 KB
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64 - Chapter 11. Keeping the system running.mp4
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MP4
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89.6 MB
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64
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391.8 KB
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65
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838.8 KB
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65 - Chapter 12. Working with stakeholders.mp4
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MP4
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105.8 MB
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66
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382.3 KB
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66 - Chapter 12. Working with stakeholders.mp4
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MP4
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49.6 MB
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67
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910.9 KB
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67 - Chapter 12. Communicating constantly.mp4
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MP4
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99.2 MB
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68 - Chapter 12. Prioritizing work.mp4
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MP4
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83.1 MB
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68
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924 KB
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69 - Chapter 12. Concluding remarks.mp4
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MP4
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79.3 MB
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69
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823.1 KB
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70
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68.7 KB
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70 - PART 4.mp4
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MP4
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8.2 MB
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71
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557.5 KB
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71 - Chapter 13. When your data science project fails.mp4
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MP4
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50.5 MB
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72
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794.7 KB
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72 - Chapter 13. The data doesn’t have a signal.mp4
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MP4
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60.2 MB
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73 - Chapter 13. Managing risk.mp4
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MP4
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75.7 MB
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73
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894.5 KB
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74
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2.2 KB
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74 - Chapter 13. Interview with Michelle Keim, head of data science and machine le- earning at Pluralsight.mp4
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MP4
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35.5 MB
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75 - Chapter 14. Joining the data science community.mp4
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MP4
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74.5 MB
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75
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131.8 KB
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76
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403.3 KB
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76 - Chapter 14. Attending conferences.mp4
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MP4
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106.6 MB
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77 - Chapter 14. Giving talks.mp4
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MP4
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107.2 MB
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8 - Chapter 2. Seg-Metra - The early-stage startup.mp4
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MP4
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81.9 MB
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9 - Chapter 2. Videory - The late-stage, successful tech startup.mp4
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MP4
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60.5 MB
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77
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916.4 KB
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78 - Chapter 14. Contributing to open source.mp4
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MP4
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73.1 MB
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78
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291.6 KB
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79 - Chapter 14. Recognizing and avoiding burnout.mp4
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MP4
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64.3 MB
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79
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130.1 KB
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80 - Chapter 15. Leaving your job gracefully.mp4
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MP4
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84.6 MB
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80
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940.6 KB
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81 - Chapter 15. How the job search differs after your first job.mp4
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MP4
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73.8 MB
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81
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225.2 KB
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82 - Chapter 15. Finding a new job while employed.mp4
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MP4
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42.7 MB
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82
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273.6 KB
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83 - Chapter 15. Giving notice.mp4
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MP4
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82.8 MB
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83
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124 KB
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84 - Chapter 15. Interview with Amanda Casari, engineering manager at Google.mp4
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MP4
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54.1 MB
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84
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899 KB
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85
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535.5 KB
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85 - Chapter 16. Moving up the ladder.mp4
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MP4
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33.9 MB
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86 - Chapter 16. The management track.mp4
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MP4
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91.2 MB
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86
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516.5 KB
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87
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597.6 KB
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87 - Chapter 16. Principal data scientist track.mp4
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MP4
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94.1 MB
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88 - Chapter 16. Switching to independent consulting.mp4
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MP4
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81 MB
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88
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446 KB
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89
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151.4 KB
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89 - Chapter 16. Choosing your path.mp4
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MP4
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54.1 MB
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90 - Epilogue.mp4
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MP4
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25.9 MB
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90
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673.7 KB
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91 - Appendix. Interview questions - A.1. Coding and software development.mp4
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MP4
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79.3 MB
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91
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433 KB
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92
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99.4 KB
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92 - Appendix. Interview questions - A.1.5. Frequently used package_library.mp4
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MP4
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64.9 MB
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93 - Appendix. Interview questions - A.2. SQL and databases.mp4
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MP4
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58.6 MB
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93
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11.6 KB
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94 - Appendix. Interview questions - A.3. Statistics and machine learning.mp4
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MP4
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99.7 MB
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94
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685.7 KB
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95 - Appendix. Interview questions - A.3.7. Training vs. test data.mp4
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MP4
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116.1 MB
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96 - Appendix. Interview questions - A.4. Behavioral.mp4
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MP4
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116 MB
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97 - Appendix. Interview questions - A.5. Brain teasers.mp4
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MP4
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34.6 MB
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TutsNode.com.txt
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TXT
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102.4 B
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[TGx]Downloaded from torrentgalaxy.to .txt
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TXT
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614.4 B
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95
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229.6 KB
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