Codebasics Unfiltered | Roundtable with 11 Industry Experts: Reality of Data Analyst Career in 2024
If you are a Data Analyst aspirant looking to break into the data field this video is a goldmine for you. This is the roundtable chat with 11 experienced Data professionals who have been working in the industry for several years. They have shared their stories, the skills that helped them succeed, and practical tips for getting started in the data field.
🌟Timestamps 🌟
00:00 What to expect from this session
04:10 Introducing Panelists
09:20 Reality of freshers in getting a DA job
17:06 Are people with career gap are considered?
27:33 Does college tier matter?
31:21 How much online course c…
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Chapters (26)
What to expect from this session
4:10
Introducing Panelists
9:20
Reality of freshers in getting a DA job
17:06
Are people with career gap are considered?
27:33
Does college tier matter?
31:21
How much online course certification matters?
34:12
Reality of 100% job guarantee courses
42:45
Everything that matters to hiring managers
1:12:25
What kind of soft skills are required?
1:13:40
How freshers can gain experience from experts?
1:15:12
Practical tips from Dhaval to gain experience as a fresher
1:18:00
What is the scope of freelancing for experienced and freshers?
1:24:38
What is the actual work of a data analyst?
1:28:45
Do multiple data analysts work on one project?
1:31:54
How to apply for big 4 or big tech companies?
1:34:16
A practical hack to get referral
1:35:00
Is it possible to get a remote data analyst job?
1:36:30
How to tailor a good resume?
1:37:35
Where to find guided and unguided projects?
1:38:03
Should you buy a paid course?
1:39:32
Important tip about LinkedIn featured section
1:40:52
Reality about fake courses on market
1:43:40
Ashish's tip on transitioning career
1:46:22
How offline networking fetched a job to a fresher
1:49:16
Major takeaway of this session
1:53:36
Some words of wisdom from Dhaval
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Python Tutorial - 1. Install python on windows
codebasics
Python Tutorial - 2. Variables
codebasics
Python Tutorial - 3. Numbers
codebasics
Python Tutorial - 4. Strings
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Python Tutorial - 5. Lists
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Python Tutorial - 6. Install PyCharm on Windows
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PyCharm Tutorial - 7. Debug python code using PyCharm
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Python Tutorial - 8. If Statement
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Python Tutorial - 9. For loop
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Python Tutorial - 10. Functions
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Python Tutorial - 11. Dictionaries and Tuples
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Python Tutorial - 12. Modules
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Python Tutorial - 13. Reading/Writing Files
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How to install Julia on Windows
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Python Tutorial - 14. Working With JSON
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Julia Tutorial - 1. Variables
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Julia Tutorial - 2. Numbers
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Python Tutorial - 15. if __name__ == "__main__"
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Julia Tutorial - Why Should I Learn Julia Programming Language
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Python Tutorial - 16. Exception Handling
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Julia Tutorial - 3. Complex and Rational Numbers
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Julia Tutorial - 4. Strings
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Python Tutorial - 17. Class and Objects
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Julia Tutorial - 5. Functions
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Julia Tutorial - 6. If Statement and Ternary Operator
codebasics
Julia Tutorial - 7. For While Loop
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Python Tutorial - 18. Inheritance
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Julia Tutorial - 8. begin and (;) Compound Expressions
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Python Tutorial - 12.1 - Install Python Module (using pip)
codebasics
Julia Tutorial - 9. Tasks (a.k.a. Generators or Coroutines)
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Julia Tutorial - 10. Exception Handling
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Python Tutorial - 19. Multiple Inheritance
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Python Tutorial - 20. Raise Exception And Finally
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Python Tutorial - 21. Iterators
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Python Tutorial - 22. Generators
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Python Tutorial - 23. List Set Dict Comprehensions
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Python Tutorial - 24. Sets and Frozen Sets
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Python Tutorial - 25. Command line argument processing using argparse
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Debugging Tips - What is bug and debugging?
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Debugging Tips - Conditional Breakpoint
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Debugging Tips - Watches and Call Stack
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Python Tutorial - 26. Multithreading - Introduction
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Git Tutorial 3: How To Install Git
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Git Tutorial 1: What is git / What is version control system?
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Git Tutorial 2 : What is Github? | github tutorial
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Git Tutorial 4: Basic Commands: add, commit, push
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Git Tutorial 5: Undoing/Reverting/Resetting code changes
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Git Tutorial 6: Branches (Create, Merge, Delete a branch)
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Git Github Tutorial 10: What is Pull Request?
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Git Tutorial 7: What is HEAD?
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Git Tutorial 9: Diff and Merge using meld
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Difference between Multiprocessing and Multithreading
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Python Tutorial - 27. Multiprocessing Introduction
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Python Tutorial - 28. Sharing Data Between Processes Using Array and Value
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Git Tutorial 8 - .gitignore file
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Python Tutorial - 29. Sharing Data Between Processes Using Multiprocessing Queue
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Python Tutorial - 30. Multiprocessing Lock
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Python Tutorial - 31. Multiprocessing Pool (Map Reduce)
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What is code?
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Python unit testing - pytest introduction
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DeepCamp AI