Career questions tagged datascience

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tejaJan 03517 views

Which Python libraries are essential for data science?

Which Python libraries are essential for data science? https://nareshit.com/courses/data-science-online-training

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Active Jan 20
location iconHyderabad
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projeshJan 031244 views

bachelor in data science

would it be wise decision to do bachelor in Data science from RMIT in Australia? Or should i go for general IT or CS? which one has more job opportunity after graduation in Melbourne?

answer icon5 answers
Active Jan 23
location iconDhaka
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AyushDec 14, 2024614 views

How do i get my resume shortlisted for an entry level Data Science role?

I graduated with a computer science engineering degree in July 2024. Please review my resume and how should i improve it to get shortlisted for data scientist roles as an entry level candidate. I am going to add a few more projects soon. Also suggest a few projects that would stand out. Resume link: https://drive.google.com/file/d/15kuiqCqPn4g9iBC7CkVg-n-dmlpdZJ_E/view?usp=drivesdk

answer icon5 answers
Active Jan 02
location iconPatna
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BhumitDec 06, 2024357 views

What should I be currently doing if I aspire to work as an analyst graduating in March 2025?

I have background in biochemistry with working as a tech and lab chemist with experience in data entry.

answer icon3 answers
Active Dec 08, 2024
location iconMemphis
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tejaNov 19, 2024788 views

The Role of Deep Learning in Data Science?

Deep learning has revolutionized the field of data science, unlocking possibilities that were once thought impossible. As a subset of machine learning, deep learning utilizes artificial neural networks to simulate the workings of the human brain, enabling computers to identify patterns, understand complex data, and make intelligent decisions. Its applications span across various industries, making it an integral part of modern data science.

answer icon6 answers
Active Nov 23, 2024
location iconHyderabad
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tejaNov 16, 2024835 views

What is Data Science & Advantages and disadvantages of Data Science?

What is Data Science, & Advantages and disadvantages of Data Science Data Science is a multidisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines statistics, machine learning, programming, data visualization, and domain expertise to make sense of vast amounts of data and drive decision-making.

answer icon7 answers
Active Jan 16
location iconHyderabad
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AbdulOct 23, 2024832 views

Data analyst or SalesForce Platform Developer?

How can I effectively transition into a data analyst role with my master's degree in IT and Tableau Desktop certification? What specific skills or experiences should I focus on developing to strengthen my application? Additionally, I’m contemplating whether pursuing a career as a Salesforce developer might be a better fit. Which field is likely to offer faster job opportunities, and what are the key differences between these two paths in terms of career growth and alignment with my background and goals?

answer icon5 answers
Active Nov 10, 2024
location iconSydney NSW
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tejaSep 25, 2024854 views

What is data wrangling ?

What is data wrangling?

answer icon10 answers
Active Jan 23
location iconHyderabad
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tejaAug 26, 20241297 views

What is a neural network in data science?

What is a neural network in data science?

answer icon4 answers
Active Nov 27, 2024
location iconHyderabad
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MiaAug 18, 2024573 views

Difference between different specializations in data science?

Currently I'm interested in learning more about data science. So I was wondering about the different specializations in data science such as NPL or computer vision. And what careers might be in these specializations.

answer icon3 answers
Active Sep 27, 2024
location iconSan Francisco
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ForteAug 14, 2024473 views

What role should advanced technologies like AI and data analytics play in the recruitment process?

To master talent acquisition challenges, leaders must address several key areas: 1. Competition for Talent: Embrace innovative recruitment methods like targeted social media campaigns and strategic educational partnerships to attract top candidates. 2. Alignment with Objectives: Ensure new hires align with the agency's long-term goals and cultural values to support sustained growth. 3. Candidate Expectations: Develop a strong employer brand that highlights corporate values, work-life balance, and career development to attract and retain top talent. 4. Technology Integration: Utilize AI and data analytics to streamline recruitment while maintaining a personal candidate experience. 5. Diversity and Inclusion: Implement strategies to attract diverse candidates and create an inclusive work environment to foster innovation and employee satisfaction.

answer icon2 answers
Active Aug 18, 2024
location iconManila
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tejaJun 21, 2024896 views

1. What are your career goals?

My career goal is to become a data scientist, leveraging large datasets to extract meaningful insights and support data-driven decision-making in a leading tech company.

answer icon4 answers
Active Jul 17, 2024
location iconHyderabad
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MelissaMay 04, 2024921 views

How do you pursue a career in data science?

I am majoring in computer science. What kind of projects could you build?

answer icon9 answers
Active Jul 02, 2024
location iconElmhurst
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SamApr 24, 20241138 views

What side projects can I do as a beginner coder if I want to go into Data Science?

I have a decent foundation in Python, and I want to elevate my skills in data analytics/science. Are there any small projects I could do?

answer icon6 answers
Active Jun 07, 2024
location iconGreater Vancouver A
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GrantApr 16, 20242361 views

How can get job as a data analyst as an undergraduate?

I have degree in computer science and data science certification and I want to build a career in data science ,

answer icon10 answers
Active Jun 07, 2024
location iconUnited States
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AaruMar 23, 20241720 views

How should I start my journey to learn coding and programming so that I can pursue a career in data science?

i am a complete beginner to coding and i want to pursue a career in data science. i started watching tutorials on yt but i was unable to understand anything. i figured i should start with python however it is easier said than done. what can i do??

answer icon7 answers
Active May 22, 2024
location iconMumbai
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JoshuaMar 18, 20241545 views

What to do career wise after bad uni grades?

I'm a 3rd year CS student and my overall grades for university are disappointing to say the least, and I'm not sure what I should do to progress after I'm done on my course. I don't feel like that grade will be enough to get a good grad job and I'm wondering what can be done to get the foot in the door when it comes to a career which is what I heard really matters. I'm interested in a data science/ software engineering career

answer icon10 answers
Active Oct 11, 2024
location iconLondon
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SamMar 17, 20241108 views

Is it beneficial to take online courses on Coursera or Udemy to learn data skills if I want to go into Data Science/Anaytics If so, what should I start with?

I'm in Grade 10, I have some coding experience with Python, and I want to be able to build my skill set so that I have time to improve later during high school. I also want to be able to use those skills to help others (volunteering). I've seen so many "roadmaps" for learning data skills, and they're all different, so I hope someone can clear this up for me. Thanks in advance!

answer icon11 answers
Active Aug 14, 2024
location iconGreater Vancouver A