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| [TGx]Downloaded from torrentgalaxy.to .txt |
585B |
| 0 |
955.47KB |
| 1 |
1020.39KB |
| 10 |
474.50KB |
| 10 - Chapter 2. Global Aerospace Dynamics - The giant government contractor.mp4 |
67.30MB |
| 11 |
290.16KB |
| 11 - Chapter 2. Putting it all together.mp4 |
44.87MB |
| 12 |
951.84KB |
| 12 - Chapter 3. Getting the skills.mp4 |
50.22MB |
| 13 |
807.65KB |
| 13 - Chapter 3. Choosing the school.mp4 |
64.70MB |
| 14 |
965.92KB |
| 14 - Chapter 3. Getting into an academic program.mp4 |
50.13MB |
| 15 |
400.81KB |
| 15 - Chapter 3. Going through a bootcamp.mp4 |
68.73MB |
| 16 |
716.69KB |
| 16 - Chapter 3. Getting data science work within your company.mp4 |
64.55MB |
| 17 |
27.82KB |
| 17 - Chapter 3. Teaching yourself.mp4 |
49.87MB |
| 18 |
388.80KB |
| 18 - Chapter 3. Interview with Julia Silge, data scientist and software engineer at RStudio.mp4 |
49.11MB |
| 19 |
534.36KB |
| 19 - Chapter 4. Building a portfolio.mp4 |
80.42MB |
| 1 - PART 1.mp4 |
17.99MB |
| 2 |
359.26KB |
| 20 |
956.76KB |
| 20 - Chapter 4. Choosing a direction.mp4 |
30.58MB |
| 21 |
180.21KB |
| 21 - Chapter 4. Starting a blog.mp4 |
69.29MB |
| 22 |
63.70KB |
| 22 - Chapter 4. Working on example projects.mp4 |
52.20MB |
| 23 |
36.95KB |
| 23 - Chapter 4. Interview with David Robinson, data scientist.mp4 |
71.20MB |
| 24 |
597.15KB |
| 24 - PART 2.mp4 |
12.33MB |
| 25 |
703.66KB |
| 25 - Chapter 5. The search - Identifying the right job for you.mp4 |
43.78MB |
| 26 |
713.51KB |
| 26 - Chapter 5. Decoding descriptions.mp4 |
91.06MB |
| 27 |
1015.46KB |
| 27 - Chapter 5. Attending meetups.mp4 |
72.18MB |
| 28 |
43.64KB |
| 28 - Chapter 5. Deciding which jobs to apply for.mp4 |
87.30MB |
| 29 |
142.00KB |
| 29 - Chapter 6. The application - Résumés and cover letters.mp4 |
32.34MB |
| 2 - Chapter 1. What is data science.mp4 |
101.76MB |
| 3 |
855.67KB |
| 30 |
950.27KB |
| 30 - Chapter 6. Structure.mp4 |
97.54MB |
| 31 |
420.89KB |
| 31 - Chapter 6. Deeper into the experience section - generating content.mp4 |
35.42MB |
| 32 |
662.67KB |
| 32 - Chapter 6. Cover letters - The basics.mp4 |
65.74MB |
| 33 |
278.46KB |
| 33 - Chapter 6. Referrals.mp4 |
73.12MB |
| 34 |
930.55KB |
| 34 - Chapter 7. The interview - What to expect and how to handle it.mp4 |
71.95MB |
| 35 |
311.70KB |
| 35 - Chapter 7. Step 1 - The initial phone screen interview.mp4 |
50.00MB |
| 36 |
546.40KB |
| 36 - Chapter 7. Step 2 - The on-site interview.mp4 |
56.62MB |
| 37 |
159.07KB |
| 37 - Chapter 7. The technical interview.mp4 |
113.65MB |
| 38 |
900.23KB |
| 38 - Chapter 7. The behavioral interview.mp4 |
44.08MB |
| 39 |
926.15KB |
| 39 - Chapter 7. Step 3 - The case study.mp4 |
95.72MB |
| 3 - Chapter 1. Databases_programming.mp4 |
77.35MB |
| 4 |
399.39KB |
| 40 |
840.40KB |
| 40 - Chapter 7. The offer.mp4 |
56.18MB |
| 41 |
54.70KB |
| 41 - Chapter 8. The offer - Knowing what to accept.mp4 |
67.61MB |
| 42 |
820.85KB |
| 42 - Chapter 8. Negotiation.mp4 |
78.07MB |
| 43 |
701.13KB |
| 43 - Chapter 8. How much you can negotiate.mp4 |
62.22MB |
| 44 |
728.22KB |
| 44 - Chapter 8. Negotiation tactics.mp4 |
61.02MB |
| 45 |
890.07KB |
| 45 - Chapter 8. Interview with Brooke Watson Madubuonwu, senior data scientist at the ACLU.mp4 |
63.15MB |
| 46 |
280.23KB |
| 46 - PART 3.mp4 |
9.78MB |
| 47 |
402.69KB |
| 47 - Chapter 9. The first months on the job.mp4 |
38.48MB |
| 48 |
714.94KB |
| 48 - Chapter 9. Understanding and setting expectations.mp4 |
45.72MB |
| 49 |
115.18KB |
| 49 - Chapter 9. Knowing your data.mp4 |
78.96MB |
| 4 - Chapter 1. Different types of data science jobs.mp4 |
85.97MB |
| 5 |
186.52KB |
| 50 |
265.80KB |
| 50 - Chapter 9. Becoming productive.mp4 |
61.44MB |
| 51 |
90.97KB |
| 51 - Chapter 9. Building relationships.mp4 |
41.88MB |
| 52 |
309.66KB |
| 52 - Chapter 9. If you’re the first data scientist.mp4 |
50.93MB |
| 53 |
463.92KB |
| 53 - Chapter 9. The work environment is toxic.mp4 |
62.82MB |
| 54 |
764.94KB |
| 54 - Chapter 9. Interview with Jarvis Miller, data scientist at Spotify.mp4 |
41.12MB |
| 55 |
874.24KB |
| 55 - Chapter 10. Making an effective analysis.mp4 |
66.89MB |
| 56 |
185.73KB |
| 56 - Chapter 10. The request.mp4 |
69.32MB |
| 57 |
390.33KB |
| 57 - Chapter 10. Doing the analysis.mp4 |
76.09MB |
| 58 |
799.30KB |
| 58 - Chapter 10. Important points for exploring and modeling.mp4 |
76.73MB |
| 59 |
569.92KB |
| 59 - Chapter 10. Wrapping it up.mp4 |
102.48MB |
| 5 - Chapter 1. Choosing your path.mp4 |
69.13MB |
| 6 |
532.78KB |
| 60 |
1007.47KB |
| 60 - Chapter 11. Deploying a model into production.mp4 |
62.62MB |
| 61 |
555.76KB |
| 61 - Chapter 11. Making the production system.mp4 |
83.48MB |
| 62 |
803.42KB |
| 62 - Chapter 11. Building an API.mp4 |
77.59MB |
| 63 |
445.94KB |
| 63 - Chapter 11. Deploying an API.mp4 |
79.01MB |
| 64 |
391.84KB |
| 64 - Chapter 11. Keeping the system running.mp4 |
89.61MB |
| 65 |
838.81KB |
| 65 - Chapter 12. Working with stakeholders.mp4 |
105.82MB |
| 66 |
382.27KB |
| 66 - Chapter 12. Working with stakeholders.mp4 |
49.61MB |
| 67 |
910.95KB |
| 67 - Chapter 12. Communicating constantly.mp4 |
99.16MB |
| 68 |
924.03KB |
| 68 - Chapter 12. Prioritizing work.mp4 |
83.07MB |
| 69 |
823.14KB |
| 69 - Chapter 12. Concluding remarks.mp4 |
79.30MB |
| 6 - Chapter 2. Data science companies.mp4 |
78.86MB |
| 7 |
249.30KB |
| 70 |
68.66KB |
| 70 - PART 4.mp4 |
8.17MB |
| 71 |
557.51KB |
| 71 - Chapter 13. When your data science project fails.mp4 |
50.46MB |
| 72 |
794.68KB |
| 72 - Chapter 13. The data doesn’t have a signal.mp4 |
60.22MB |
| 73 |
894.45KB |
| 73 - Chapter 13. Managing risk.mp4 |
75.70MB |
| 74 |
2.16KB |
| 74 - Chapter 13. Interview with Michelle Keim, head of data science and machine le- earning at Pluralsight.mp4 |
35.50MB |
| 75 |
131.81KB |
| 75 - Chapter 14. Joining the data science community.mp4 |
74.47MB |
| 76 |
403.33KB |
| 76 - Chapter 14. Attending conferences.mp4 |
106.61MB |
| 77 |
916.39KB |
| 77 - Chapter 14. Giving talks.mp4 |
107.16MB |
| 78 |
291.62KB |
| 78 - Chapter 14. Contributing to open source.mp4 |
73.10MB |
| 79 |
130.06KB |
| 79 - Chapter 14. Recognizing and avoiding burnout.mp4 |
64.25MB |
| 7 - Chapter 2. HandbagLOVE - The established retailer.mp4 |
55.63MB |
| 8 |
324.65KB |
| 80 |
940.63KB |
| 80 - Chapter 15. Leaving your job gracefully.mp4 |
84.62MB |
| 81 |
225.19KB |
| 81 - Chapter 15. How the job search differs after your first job.mp4 |
73.84MB |
| 82 |
273.56KB |
| 82 - Chapter 15. Finding a new job while employed.mp4 |
42.73MB |
| 83 |
124.04KB |
| 83 - Chapter 15. Giving notice.mp4 |
82.82MB |
| 84 |
899.04KB |
| 84 - Chapter 15. Interview with Amanda Casari, engineering manager at Google.mp4 |
54.11MB |
| 85 |
535.49KB |
| 85 - Chapter 16. Moving up the ladder.mp4 |
33.85MB |
| 86 |
516.50KB |
| 86 - Chapter 16. The management track.mp4 |
91.21MB |
| 87 |
597.58KB |
| 87 - Chapter 16. Principal data scientist track.mp4 |
94.07MB |
| 88 |
445.97KB |
| 88 - Chapter 16. Switching to independent consulting.mp4 |
80.96MB |
| 89 |
151.41KB |
| 89 - Chapter 16. Choosing your path.mp4 |
54.10MB |
| 8 - Chapter 2. Seg-Metra - The early-stage startup.mp4 |
81.94MB |
| 9 |
860.69KB |
| 90 |
673.66KB |
| 90 - Epilogue.mp4 |
25.90MB |
| 91 |
432.98KB |
| 91 - Appendix. Interview questions - A.1. Coding and software development.mp4 |
79.31MB |
| 92 |
99.36KB |
| 92 - Appendix. Interview questions - A.1.5. Frequently used package_library.mp4 |
64.91MB |
| 93 |
11.64KB |
| 93 - Appendix. Interview questions - A.2. SQL and databases.mp4 |
58.56MB |
| 94 |
685.73KB |
| 94 - Appendix. Interview questions - A.3. Statistics and machine learning.mp4 |
99.68MB |
| 95 |
229.56KB |
| 95 - Appendix. Interview questions - A.3.7. Training vs. test data.mp4 |
116.07MB |
| 96 - Appendix. Interview questions - A.4. Behavioral.mp4 |
116.00MB |
| 97 - Appendix. Interview questions - A.5. Brain teasers.mp4 |
34.56MB |
| 9 - Chapter 2. Videory - The late-stage, successful tech startup.mp4 |
60.46MB |
| TutsNode.com.txt |
63B |