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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!

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Patrick’s Answer

Online courses on platforms like Coursera or Udemy can be a real game-changer for learning data skills, especially if you're eyeing a career in Data Science or Analytics. These platforms are a treasure trove of courses designed for all skill levels, including easy-to-understand content perfect for a Grade 10 student with a bit of Python coding under their belt.

Starting off, it's crucial to get a good grip on the building blocks of data science and analytics. This means getting comfortable with programming basics, statistical analysis, data tweaking, and ways to visually represent data. Since you've already dipped your toes in Python, you can dive deeper into data analysis by exploring courses that focus on powerful libraries like NumPy, Pandas, and Matplotlib.

Also, it's key to become skilled at using tools that are popular in the field, like Jupyter Notebooks, which make data exploration and analysis a breeze. Plus, getting to know databases and SQL (Structured Query Language) will come in handy, as working with data is a big part of data science.

Given your passion for volunteering and making a difference, you may want to look into courses that delve into data ethics and responsible data handling. As we navigate the digital age, understanding the ethical side of data usage and privacy is becoming more and more crucial in the world of data science.

When it comes to learning paths, you'll find a lot of variations out there because everyone learns differently and has unique goals. But a typical path usually involves getting the basics down pat, venturing into more advanced areas like machine learning and deep learning, and getting your hands dirty with practical projects and real-world applications.

Considering you're still in high school, it's impressive that you're already thinking about sharpening your skills and using them to make a difference. As you continue on your learning adventure, think about taking on projects that line up with your interests and have real-world applications. This could mean analyzing data for non-profit groups or community projects, letting you put your skills to work in a meaningful way while making a positive impact.

Finally, hopping on online courses on platforms like Coursera or Udemy is a fantastic starting point for learning data skills, considering your current knowledge and dreams. Concentrate on getting the basics down, explore the tools and techniques often used in the field, and ponder over the ethical side of data science. Remember, learning is a never-ending journey, so feel free to explore various resources and tweak your learning path to match your interests and goals.
Thank you comment icon Thank you so much for the advice! Sam
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Seng’s Answer

Hello,

Taking a step into exploration is incredibly rewarding, and I wholeheartedly endorse this course on Coursera. It's a fantastic opportunity that comes with financial assistance and free enrollment options.

Here's the link to your next adventure: https://www.coursera.org/specializations/jhu-data-science.
Thank you comment icon I appreciate this, thank you for the advice. Sam
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Andrew Martin’s Answer

Totally agree with OL courses. Would seize the moment and also in addition to Python, SQL etc I would focus on Prompt Engineering as a new skill area as GenAI takes off. All companies and functions are desiring these skills so I’d jump in there to with OpenAI, ChatGPT, MS Co-Pilot platforms whatever!
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Dey’s Answer

Absolutely, Sam! You've got a solid foundation with your Python coding skills and your interest in broadening your understanding of data science is fantastic. The pursuit of knowledge is a never-ending journey that's full of rewards. Diving into the world of data science could unlock a wealth of opportunities for you. By mastering this field, you'll be able to volunteer your skills and make a difference, which is not only a great way to boost your college applications, but also a wonderful chance to enrich your own knowledge. Plus, if you decide to undertake a capstone project in your senior year, it will be a great boost to your skills and qualifications. You're on the right track, Sam! Keep going!
Thank you comment icon Thanks for the advice. Sam
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Jerome’s Answer

I think there could be benefit for sure.

Have you looked for local association's or groups you can join to work on your skills? In addition to learning, having a network of people who are likeminded and can help encourage you can be everything.

You may also find value in attending conferences at local community colleges and keeping up with new stuff that is coming out.
Thank you comment icon Thanks! I'll look more into the groups I can join that can help hone my skills. Sam
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Jay’s Answer

All good answers, and I'll add that after you get your education via formal degree programs and/or online platforms, try to share your toy/side projects with others (e.g., via github/blog) so that others (hopefully future employers, colleagues) can see what you can do and what you're interested in. Best of luck!
Thank you comment icon Thank you! Sam
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Giacomo’s Answer

If you have time, i recommend a three years degree in data science. Otherwise masters. Im attending the statistic and data science micromaster at MIT. It is certainly an appreciated title. Qualifications from prestigious university are more appreciated. The other less so. I also volunteers as first time worker. It s a difficult time at the beginning. It take time. Initially in presence university are more appreciated than online (cheaper), but after you can balance with experience
Thank you comment icon Thanks for the advice! Sam
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Annalise’s Answer

There is an absolute benefit to starting now! I think you are on the right track of taking these types of courses. The more experience and exposure you have to different data tools (python, sql, r, tableau, power BI, etc.), the better! If you have an interest in these skills, you can major in business analytics, computer science, and other related subjects. Personally, I didn't start learning these skills until college, which helped guide me on what to learn. However, with you starting so early, you will be starting with a great foundational basis that can only help you grow! If you are looking for other "maps", I recommend looking at different college majors with these skills and look at their structure on what they teach.

Good luck!
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Debasis’s Answer

Hello Sam,

It's wonderful to witness your eagerness to acquire new knowledge. Indeed, getting a head start is always a smart move. I wholeheartedly agree that utilizing online learning platforms such as Udemy can be a great advantage if you're aiming to delve into the field of Data Science or Analytics.

I recommend starting with courses on the programming languages Python and R. Once you've got a handle on those, move on to Programming for Data Science, Prompt Engineering, and lastly, Gen-AI courses.

Wishing you the best of luck on your learning journey.
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Sinchita’s Answer

Hi Sam,

I would definitely recommend taking online courses to build your foundation in SQL, Python programming and Statistics. One area that a lot of people overlook is Statistics. It is a crucial piece in becoming successful in the field of Data Science or Analytics. Any highly rated course on an online platform like Udemy or Coursera will be good.

However, I would also recommend against getting stuck in a loop of taking one course after another. Once you have taken a few courses to develop a decent understanding, start applying your knowledge to build projects!

Good luck!
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Siddhi Vinod’s Answer

Hey Sam, I strongly suggest you initiate your journey by acquiring a solid base of knowledge through platforms like Udemy, Coursera, and LinkedIn. These resources have personally propelled my career forward and allowed me to gain a deep understanding of the data analytics field.

Remember, you have the freedom to learn at your own rhythm and simultaneously apply your knowledge practically.

I highly recommend courses like 'Tableau A-Z: Hands-On Tableau Training for Data Science', 'Data Analysis with Pandas and Python', and 'Learning Python for Data Analysis and Visualization'. These have been instrumental in enhancing my comprehension and providing me with practical experience in the realm of data analytics.
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