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I have completed MA in English in 2021. Then i started a course for data science in 2022. I was into sports so there has been a huge year gap. Now should i join any job for money or should I complete projects for excel and sql to showcase them? I am 27 years old now and that course has still not completed.
I need a good future as there is no one to support me. I am an orphan and i dont plan to have any future company.
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7 answers
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Bryan’s Answer
It seems like you're weighing up the options between kick-starting your career or extending your academic journey. This is indeed a challenging choice to make. However, given that you've already achieved your MA, you're well-versed with the academic world and its demands. With your data science training, you're in a strong position to secure a role as a data scientist or data analyst. Starting as a data analyst is often a smooth pathway into data science. Most data scientist roles do require an MS degree or substantial experience.
In response to your query about undertaking projects, I would highly recommend you to engage in some. These projects will act as a testament to your skills for potential employers. Your data science coursework could also serve as valuable additions to your portfolio. I would strongly advise completing a data science course while you're on the job hunt.
If you're on the lookout for inspiration for data science projects, kaggle.com is an excellent resource. It's a vibrant community filled with data scientists and a plethora of projects that can spark your creativity. Best of luck on your journey!
In response to your query about undertaking projects, I would highly recommend you to engage in some. These projects will act as a testament to your skills for potential employers. Your data science coursework could also serve as valuable additions to your portfolio. I would strongly advise completing a data science course while you're on the job hunt.
If you're on the lookout for inspiration for data science projects, kaggle.com is an excellent resource. It's a vibrant community filled with data scientists and a plethora of projects that can spark your creativity. Best of luck on your journey!
Thank you, this is amazing! I really needed it.
Rittika
Updated
Patrick’s Answer
Rittika, let's take a moment to celebrate your remarkable achievement of earning your Master's in English and bravely stepping into the realm of data science. Your unwavering commitment, especially in the face of adversity, is truly praiseworthy. As you navigate your current circumstances, thoughtfully evaluate the choice between securing immediate employment for financial stability or dedicating time to Excel and SQL projects to bolster your data science proficiency.
At your prime age of 27, with an eye on a stable future, it would be beneficial to adopt a balanced strategy. Consider seeking part-time work to meet immediate financial obligations while concurrently devoting quality time to your data science studies and portfolio development. Your tenacity as an orphan speaks volumes about your unique journey, and your steadfast dedication to shape your own destiny is truly motivational. Always remember that your history does not dictate your future, and reaching out to mentors and advisors can offer invaluable guidance. Your resolute determination to forge a brighter future is an incredible strength.
At your prime age of 27, with an eye on a stable future, it would be beneficial to adopt a balanced strategy. Consider seeking part-time work to meet immediate financial obligations while concurrently devoting quality time to your data science studies and portfolio development. Your tenacity as an orphan speaks volumes about your unique journey, and your steadfast dedication to shape your own destiny is truly motivational. Always remember that your history does not dictate your future, and reaching out to mentors and advisors can offer invaluable guidance. Your resolute determination to forge a brighter future is an incredible strength.
Loved reading this, thanks!
Rittika
Updated
Karin’s Answer
Hi Rittika,
I suppose you plan to work in data science or data analytics? How long will your course take? You will almost certainly need a portfolio to showcase your skills to find a job. On the other hand, you probably need to earn money too.
I would suggest you split your time: work any job (as much as you need to stay afloat), and use the rest of your time to finish the course, build a portfolio, improve and practice your skills and fill any gaps. Get certifications that might be useful.
Start applying for jobs if you have not yet done so. Pay attention to what the requirements are, and try to fill the gaps as soon as possible. Apply for interships as well. That might be a way to get a foot in the door. See if you can do real projects for real companies. Otherwise work with available datasets.
Make a profile on LinkedIn if you don't have one yet and start networking. There are also communities on Twitter and other social media where you can make contacts or get help with any problems.
Good luck!
KP
I suppose you plan to work in data science or data analytics? How long will your course take? You will almost certainly need a portfolio to showcase your skills to find a job. On the other hand, you probably need to earn money too.
I would suggest you split your time: work any job (as much as you need to stay afloat), and use the rest of your time to finish the course, build a portfolio, improve and practice your skills and fill any gaps. Get certifications that might be useful.
Start applying for jobs if you have not yet done so. Pay attention to what the requirements are, and try to fill the gaps as soon as possible. Apply for interships as well. That might be a way to get a foot in the door. See if you can do real projects for real companies. Otherwise work with available datasets.
Make a profile on LinkedIn if you don't have one yet and start networking. There are also communities on Twitter and other social media where you can make contacts or get help with any problems.
Good luck!
KP
Thank you so much for your valuable advice
Rittika
Updated
Michelle’s Answer
Hello, Rittika !
I am very impressed with your accomplishments and admire that you are reaching out for advice about your next plans !
I would advise seeking employment as well as finishing your studies with data science. You didn't mention how long it will take to complete the course, but I wouldn't hesitate to obtain work to support yourself now. You will always benefit from employment and I wouldn't say to take just any job for money, rather apply to jobs that you find interesting and ones that you can apply your skills to. With a Masters degree, I doubt that you will need to settle for a job that you are overqualified for.
Register for job search on all of the employment websites in your country. Become familiar with which employment opportunities match up with your Masters Degree and what type of work you enjoy. Get an idea of what the salary is on the various websites which is usually listed in the employment notice. Having a job should not interfere with you finishing your data science course. Any projects that you work on independently or through the course you are finishing would be showcased on your resume.
So basically, you will have to make a decision for yourself based on if you can go more time without an income. My advice is to finish the course while you obtain paid work at the same time and also include your involvement with sports on your resume. Best wishes with all you decide !
I am very impressed with your accomplishments and admire that you are reaching out for advice about your next plans !
I would advise seeking employment as well as finishing your studies with data science. You didn't mention how long it will take to complete the course, but I wouldn't hesitate to obtain work to support yourself now. You will always benefit from employment and I wouldn't say to take just any job for money, rather apply to jobs that you find interesting and ones that you can apply your skills to. With a Masters degree, I doubt that you will need to settle for a job that you are overqualified for.
Register for job search on all of the employment websites in your country. Become familiar with which employment opportunities match up with your Masters Degree and what type of work you enjoy. Get an idea of what the salary is on the various websites which is usually listed in the employment notice. Having a job should not interfere with you finishing your data science course. Any projects that you work on independently or through the course you are finishing would be showcased on your resume.
So basically, you will have to make a decision for yourself based on if you can go more time without an income. My advice is to finish the course while you obtain paid work at the same time and also include your involvement with sports on your resume. Best wishes with all you decide !
James Constantine Frangos
Consultant Dietitian & Software Developer since 1972 => Nutrition Education => Health & Longevity => Self-Actualization.
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James Constantine’s Answer
Hi Rittika,
It sounds like you're at a pivotal point in your career, trying to figure out the best way forward. It's crucial to balance immediate financial needs with long-term career growth. Here are some things to think about:
Career Prospects: Data science is a booming field with a high demand for talented individuals. Finishing your data science course could open doors to jobs that offer more financial security and room for growth than entry-level positions that require only an MA in English. Remember, though, that finishing your course is key to landing a job in data science.
Skill Enhancement: Projects in Excel and SQL are great, but they might not be enough to stand out in the competitive data science market. You'll need a solid understanding of statistics, programming languages like Python or R, machine learning, and data visualization. If your course covers these areas thoroughly, it might be best to finish it before job hunting.
Networking: Working in data science can connect you with experienced professionals and real-world projects. These interactions can offer valuable insights, introduce you to new methods, and help you establish relationships that could boost your career down the line.
Financial Factors: It's completely understandable that you need financial stability, especially without a support system. Take a close look at your finances to see if you can afford to finish your course, or if it's more practical to start working right away. Part-time jobs could be a good middle ground, allowing you to work and study at the same time.
Long-Term Vision: Think about your long-term career goals. If you're passionate about data science and see it as a promising career, it might be worth investing your time and effort in finishing the course. But if your interests lie elsewhere, or data science doesn't fit with your long-term plans, you might want to consider other career options.
The choice between jumping into a job or finishing your data science course depends on your personal situation, financial status, and long-term career vision. It could be helpful to talk to mentors, career advisors, or professionals in the field for personalized advice.
Top 3 Reference Publications:
Harvard Business Review: This publication provides insights and advice on a range of business topics, including career development and decision-making.
DataCamp: DataCamp is an online learning platform that offers courses on data science and related subjects. It's a comprehensive resource for budding data scientists.
Glassdoor: Glassdoor provides information about companies, salaries, interviews, and employee reviews. It's a handy tool for researching job opportunities and understanding market trends.
Don't forget to check out the bio section about James and the nutritional food information at the end - it could be really helpful for your career.
Take care,
James.
It sounds like you're at a pivotal point in your career, trying to figure out the best way forward. It's crucial to balance immediate financial needs with long-term career growth. Here are some things to think about:
Career Prospects: Data science is a booming field with a high demand for talented individuals. Finishing your data science course could open doors to jobs that offer more financial security and room for growth than entry-level positions that require only an MA in English. Remember, though, that finishing your course is key to landing a job in data science.
Skill Enhancement: Projects in Excel and SQL are great, but they might not be enough to stand out in the competitive data science market. You'll need a solid understanding of statistics, programming languages like Python or R, machine learning, and data visualization. If your course covers these areas thoroughly, it might be best to finish it before job hunting.
Networking: Working in data science can connect you with experienced professionals and real-world projects. These interactions can offer valuable insights, introduce you to new methods, and help you establish relationships that could boost your career down the line.
Financial Factors: It's completely understandable that you need financial stability, especially without a support system. Take a close look at your finances to see if you can afford to finish your course, or if it's more practical to start working right away. Part-time jobs could be a good middle ground, allowing you to work and study at the same time.
Long-Term Vision: Think about your long-term career goals. If you're passionate about data science and see it as a promising career, it might be worth investing your time and effort in finishing the course. But if your interests lie elsewhere, or data science doesn't fit with your long-term plans, you might want to consider other career options.
The choice between jumping into a job or finishing your data science course depends on your personal situation, financial status, and long-term career vision. It could be helpful to talk to mentors, career advisors, or professionals in the field for personalized advice.
Top 3 Reference Publications:
Harvard Business Review: This publication provides insights and advice on a range of business topics, including career development and decision-making.
DataCamp: DataCamp is an online learning platform that offers courses on data science and related subjects. It's a comprehensive resource for budding data scientists.
Glassdoor: Glassdoor provides information about companies, salaries, interviews, and employee reviews. It's a handy tool for researching job opportunities and understanding market trends.
Don't forget to check out the bio section about James and the nutritional food information at the end - it could be really helpful for your career.
Take care,
James.
Updated
Dave’s Answer
Looks like you have already been successful in educational achievements! The skills you were talking about now— projects for excel and sql to showcase — are already quite advanced, and, combined with your masters degree in English, should qualify you for many jobs, particularly the tech field. If you have the financial resources, I think I would complete your data sciences degree just to finish off your credentials. If you need to earn a living right away, it looks like you already have marketable skills that you should be able to find a job without too much trouble. you are still a young person and have many possibilities open to you for a great career and life ahead of you. I wish you the best of luck and confident you will find your way.
Thank you so much for you time and advice.
Rittika
Updated
Vinnie’s Answer
Dear Rittika,
Seeing how you've successfully tackled your challenges and come out on top is truly motivating.
Your journey into Data Science through the course you've chosen will lay the groundwork for a variety of roles in the data sector, including Data Engineering, Data Analytics, and Data Science itself. I strongly encourage you to dive back into it. If the course is in-person, seize the opportunity to network with your peers, as these connections could potentially lead to job opportunities now or in the future. If the course is online, make an effort to engage with fellow students and complete all projects in a way that they can be showcased online, demonstrating your academic achievements. Additionally, if you haven't already, create a LinkedIn profile to increase your visibility and start networking. If you already have one, ensure it's appealing and up-to-date.
Simultaneously, consider undergoing brief training in a BI tool like Tableau or Power BI. This will open up opportunities for entry-level positions or internships as a BI engineer or specialist, where you'll be creating reports and dashboards. This initial step will help you get your foot in the door, paving the way for a transition into Data Analysis and eventually, Data Science. The goal is to secure a job in the data sector as quickly as possible, providing you with an income while you continue to advance your career.
I hope this advice proves useful, and I eagerly anticipate witnessing your growth in the data sector.
Best,
Vinnie
Seeing how you've successfully tackled your challenges and come out on top is truly motivating.
Your journey into Data Science through the course you've chosen will lay the groundwork for a variety of roles in the data sector, including Data Engineering, Data Analytics, and Data Science itself. I strongly encourage you to dive back into it. If the course is in-person, seize the opportunity to network with your peers, as these connections could potentially lead to job opportunities now or in the future. If the course is online, make an effort to engage with fellow students and complete all projects in a way that they can be showcased online, demonstrating your academic achievements. Additionally, if you haven't already, create a LinkedIn profile to increase your visibility and start networking. If you already have one, ensure it's appealing and up-to-date.
Simultaneously, consider undergoing brief training in a BI tool like Tableau or Power BI. This will open up opportunities for entry-level positions or internships as a BI engineer or specialist, where you'll be creating reports and dashboards. This initial step will help you get your foot in the door, paving the way for a transition into Data Analysis and eventually, Data Science. The goal is to secure a job in the data sector as quickly as possible, providing you with an income while you continue to advance your career.
I hope this advice proves useful, and I eagerly anticipate witnessing your growth in the data sector.
Best,
Vinnie