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Build a Career in Data Science video edition
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[TutsNode.com] - Build a Career in Data Science video edition (Size: 6.34 GB) (Files: 195)
[TutsNode.com] - Build a Career in Data Science video edition
95 - Appendix. Interview questions - A.3.7. Training vs. test data.mp4
96 - Appendix. Interview questions - A.4. Behavioral.mp4
37 - Chapter 7. The technical interview.mp4
77 - Chapter 14. Giving talks.mp4
76 - Chapter 14. Attending conferences.mp4
65 - Chapter 12. Working with stakeholders.mp4
59 - Chapter 10. Wrapping it up.mp4
2 - Chapter 1. What is data science.mp4
94 - Appendix. Interview questions - A.3. Statistics and machine learning.mp4
67 - Chapter 12. Communicating constantly.mp4
30 - Chapter 6. Structure.mp4
39 - Chapter 7. Step 3 - The case study.mp4
87 - Chapter 16. Principal data scientist track.mp4
86 - Chapter 16. The management track.mp4
26 - Chapter 5. Decoding descriptions.mp4
64 - Chapter 11. Keeping the system running.mp4
28 - Chapter 5. Deciding which jobs to apply for.mp4
4 - Chapter 1. Different types of data science jobs.mp4
80 - Chapter 15. Leaving your job gracefully.mp4
61 - Chapter 11. Making the production system.mp4
68 - Chapter 12. Prioritizing work.mp4
83 - Chapter 15. Giving notice.mp4
8 - Chapter 2. Seg-Metra - The early-stage startup.mp4
88 - Chapter 16. Switching to independent consulting.mp4
19 - Chapter 4. Building a portfolio.mp4
91 - Appendix. Interview questions - A.1. Coding and software development.mp4
69 - Chapter 12. Concluding remarks.mp4
63 - Chapter 11. Deploying an API.mp4
49 - Chapter 9. Knowing your data.mp4
6 - Chapter 2. Data science companies.mp4
42 - Chapter 8. Negotiation.mp4
62 - Chapter 11. Building an API.mp4
3 - Chapter 1. Databases_programming.mp4
58 - Chapter 10. Important points for exploring and modeling.mp4
57 - Chapter 10. Doing the analysis.mp4
73 - Chapter 13. Managing risk.mp4
75 - Chapter 14. Joining the data science community.mp4
81 - Chapter 15. How the job search differs after your first job.mp4
33 - Chapter 6. Referrals.mp4
78 - Chapter 14. Contributing to open source.mp4
27 - Chapter 5. Attending meetups.mp4
34 - Chapter 7. The interview - What to expect and how to handle it.mp4
23 - Chapter 4. Interview with David Robinson, data scientist.mp4
56 - Chapter 10. The request.mp4
21 - Chapter 4. Starting a blog.mp4
5 - Chapter 1. Choosing your path.mp4
15 - Chapter 3. Going through a bootcamp.mp4
41 - Chapter 8. The offer - Knowing what to accept.mp4
10 - Chapter 2. Global Aerospace Dynamics - The giant government contractor.mp4
55 - Chapter 10. Making an effective analysis.mp4
32 - Chapter 6. Cover letters - The basics.mp4
92 - Appendix. Interview questions - A.1.5. Frequently used package_library.mp4
13 - Chapter 3. Choosing the school.mp4
16 - Chapter 3. Getting data science work within your company.mp4
79 - Chapter 14. Recognizing and avoiding burnout.mp4
45 - Chapter 8. Interview with Brooke Watson Madubuonwu, senior data scientist at the ACLU.mp4
53 - Chapter 9. The work environment is toxic.mp4
60 - Chapter 11. Deploying a model into production.mp4
43 - Chapter 8. How much you can negotiate.mp4
50 - Chapter 9. Becoming productive.mp4
44 - Chapter 8. Negotiation tactics.mp4
9 - Chapter 2. Videory - The late-stage, successful tech startup.mp4
72 - Chapter 13. The data doesn’t have a signal.mp4
93 - Appendix. Interview questions - A.2. SQL and databases.mp4
36 - Chapter 7. Step 2 - The on-site interview.mp4
40 - Chapter 7. The offer.mp4
7 - Chapter 2. HandbagLOVE - The established retailer.mp4
84 - Chapter 15. Interview with Amanda Casari, engineering manager at Google.mp4
89 - Chapter 16. Choosing your path.mp4
22 - Chapter 4. Working on example projects.mp4
52 - Chapter 9. If you’re the first data scientist.mp4
71 - Chapter 13. When your data science project fails.mp4
12 - Chapter 3. Getting the skills.mp4
14 - Chapter 3. Getting into an academic program.mp4
35 - Chapter 7. Step 1 - The initial phone screen interview.mp4
17 - Chapter 3. Teaching yourself.mp4
66 - Chapter 12. Working with stakeholders.mp4
18 - Chapter 3. Interview with Julia Silge, data scientist and software engineer at RStudio.mp4
48 - Chapter 9. Understanding and setting expectations.mp4
11 - Chapter 2. Putting it all together.mp4
38 - Chapter 7. The behavioral interview.mp4
25 - Chapter 5. The search - Identifying the right job for you.mp4
82 - Chapter 15. Finding a new job while employed.mp4
51 - Chapter 9. Building relationships.mp4
54 - Chapter 9. Interview with Jarvis Miller, data scientist at Spotify.mp4
47 - Chapter 9. The first months on the job.mp4
74 - Chapter 13. Interview with Michelle Keim, head of data science and machine le- earning at Pluralsight.mp4
31 - Chapter 6. Deeper into the experience section - generating content.mp4
97 - Appendix. Interview questions - A.5. Brain teasers.mp4
85 - Chapter 16. Moving up the ladder.mp4
29 - Chapter 6. The application - Résumés and cover letters.mp4
20 - Chapter 4. Choosing a direction.mp4
90 - Epilogue.mp4
1 - PART 1.mp4
24 - PART 2.mp4
46 - PART 3.mp4
70 - PART 4.mp4
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