Build Career in Data Science video edition | 12999FF5AF44CB3164265832CC483B6EEEB23B1B

Build Career in Data Science video edition

Name	Build a Career in Data Science video edition	DOWNLOAD Copy Link
Total Size	6.8 GB
Total Files	195
Hash	12999FF5AF44CB3164265832CC483B6EEEB23B1B

/[TutsNode.com] - Build a Career in Data Science video edition/
95 - Appendix. Interview questions - A.3.7. Training vs. test data.mp4	121.7 MB
96 - Appendix. Interview questions - A.4. Behavioral.mp4	121.6 MB
37 - Chapter 7. The technical interview.mp4	119.2 MB
77 - Chapter 14. Giving talks.mp4	112.4 MB
76 - Chapter 14. Attending conferences.mp4	111.8 MB
65 - Chapter 12. Working with stakeholders.mp4	111.0 MB
59 - Chapter 10. Wrapping it up.mp4	107.5 MB
2 - Chapter 1. What is data science.mp4	106.7 MB
94 - Appendix. Interview questions - A.3. Statistics and machine learning.mp4	104.5 MB
67 - Chapter 12. Communicating constantly.mp4	104.0 MB
30 - Chapter 6. Structure.mp4	102.3 MB
39 - Chapter 7. Step 3 - The case study.mp4	100.4 MB
87 - Chapter 16. Principal data scientist track.mp4	98.6 MB
86 - Chapter 16. The management track.mp4	95.6 MB
26 - Chapter 5. Decoding descriptions.mp4	95.5 MB
64 - Chapter 11. Keeping the system running.mp4	94.0 MB
28 - Chapter 5. Deciding which jobs to apply for.mp4	91.5 MB
4 - Chapter 1. Different types of data science jobs.mp4	90.1 MB
80 - Chapter 15. Leaving your job gracefully.mp4	88.7 MB
61 - Chapter 11. Making the production system.mp4	87.5 MB
68 - Chapter 12. Prioritizing work.mp4	87.1 MB
83 - Chapter 15. Giving notice.mp4	86.8 MB
8 - Chapter 2. Seg-Metra - The early-stage startup.mp4	85.9 MB
88 - Chapter 16. Switching to independent consulting.mp4	84.9 MB
19 - Chapter 4. Building a portfolio.mp4	84.3 MB
91 - Appendix. Interview questions - A.1. Coding and software development.mp4	83.2 MB
69 - Chapter 12. Concluding remarks.mp4	83.2 MB
63 - Chapter 11. Deploying an API.mp4	82.8 MB
49 - Chapter 9. Knowing your data.mp4	82.8 MB
6 - Chapter 2. Data science companies.mp4	82.7 MB
42 - Chapter 8. Negotiation.mp4	81.9 MB
62 - Chapter 11. Building an API.mp4	81.4 MB
3 - Chapter 1. Databases_programming.mp4	81.1 MB
58 - Chapter 10. Important points for exploring and modeling.mp4	80.5 MB
57 - Chapter 10. Doing the analysis.mp4	79.8 MB
73 - Chapter 13. Managing risk.mp4	79.4 MB
75 - Chapter 14. Joining the data science community.mp4	78.1 MB
81 - Chapter 15. How the job search differs after your first job.mp4	77.4 MB
33 - Chapter 6. Referrals.mp4	76.7 MB
78 - Chapter 14. Contributing to open source.mp4	76.6 MB
27 - Chapter 5. Attending meetups.mp4	75.7 MB
34 - Chapter 7. The interview - What to expect and how to handle it.mp4	75.4 MB
23 - Chapter 4. Interview with David Robinson, data scientist.mp4	74.7 MB
56 - Chapter 10. The request.mp4	72.7 MB
21 - Chapter 4. Starting a blog.mp4	72.7 MB
5 - Chapter 1. Choosing your path.mp4	72.5 MB
15 - Chapter 3. Going through a bootcamp.mp4	72.1 MB
41 - Chapter 8. The offer - Knowing what to accept.mp4	70.9 MB
10 - Chapter 2. Global Aerospace Dynamics - The giant government contractor.mp4	70.6 MB
55 - Chapter 10. Making an effective analysis.mp4	70.1 MB
32 - Chapter 6. Cover letters - The basics.mp4	68.9 MB
92 - Appendix. Interview questions - A.1.5. Frequently used package_library.mp4	68.1 MB
13 - Chapter 3. Choosing the school.mp4	67.8 MB
16 - Chapter 3. Getting data science work within your company.mp4	67.7 MB
79 - Chapter 14. Recognizing and avoiding burnout.mp4	67.4 MB
45 - Chapter 8. Interview with Brooke Watson Madubuonwu, senior data scientist at the ACLU.mp4	66.2 MB
53 - Chapter 9. The work environment is toxic.mp4	65.9 MB
60 - Chapter 11. Deploying a model into production.mp4	65.7 MB
43 - Chapter 8. How much you can negotiate.mp4	65.2 MB
50 - Chapter 9. Becoming productive.mp4	64.4 MB
44 - Chapter 8. Negotiation tactics.mp4	64.0 MB
9 - Chapter 2. Videory - The late-stage, successful tech startup.mp4	63.4 MB
72 - Chapter 13. The data doesn’t have a signal.mp4	63.1 MB
93 - Appendix. Interview questions - A.2. SQL and databases.mp4	61.4 MB
36 - Chapter 7. Step 2 - The on-site interview.mp4	59.4 MB
40 - Chapter 7. The offer.mp4	58.9 MB
7 - Chapter 2. HandbagLOVE - The established retailer.mp4	58.3 MB
84 - Chapter 15. Interview with Amanda Casari, engineering manager at Google.mp4	56.7 MB
89 - Chapter 16. Choosing your path.mp4	56.7 MB
22 - Chapter 4. Working on example projects.mp4	54.7 MB
52 - Chapter 9. If you’re the first data scientist.mp4	53.4 MB
71 - Chapter 13. When your data science project fails.mp4	52.9 MB
12 - Chapter 3. Getting the skills.mp4	52.7 MB
14 - Chapter 3. Getting into an academic program.mp4	52.6 MB
35 - Chapter 7. Step 1 - The initial phone screen interview.mp4	52.4 MB
17 - Chapter 3. Teaching yourself.mp4	52.3 MB
66 - Chapter 12. Working with stakeholders.mp4	52.0 MB
18 - Chapter 3. Interview with Julia Silge, data scientist and software engineer at RStudio.mp4	51.5 MB
48 - Chapter 9. Understanding and setting expectations.mp4	47.9 MB
11 - Chapter 2. Putting it all together.mp4	47.1 MB
38 - Chapter 7. The behavioral interview.mp4	46.2 MB
25 - Chapter 5. The search - Identifying the right job for you.mp4	45.9 MB
82 - Chapter 15. Finding a new job while employed.mp4	44.8 MB
51 - Chapter 9. Building relationships.mp4	43.9 MB
54 - Chapter 9. Interview with Jarvis Miller, data scientist at Spotify.mp4	43.1 MB
47 - Chapter 9. The first months on the job.mp4	40.3 MB
74 - Chapter 13. Interview with Michelle Keim, head of data science and machine le- earning at Pluralsight.mp4	37.2 MB
31 - Chapter 6. Deeper into the experience section - generating content.mp4	37.1 MB
97 - Appendix. Interview questions - A.5. Brain teasers.mp4	36.2 MB
85 - Chapter 16. Moving up the ladder.mp4	35.5 MB
29 - Chapter 6. The application - Résumés and cover letters.mp4	33.9 MB
20 - Chapter 4. Choosing a direction.mp4	32.1 MB
90 - Epilogue.mp4	27.2 MB
1 - PART 1.mp4	18.9 MB
24 - PART 2.mp4	12.9 MB
46 - PART 3.mp4	10.3 MB
70 - PART 4.mp4	8.6 MB
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Total files 195