I completed a graduate degree, but realized I didn’t love the work I was doing. I’ve always dabbled in coding, and I want to seriously learn new skills and take my future in a new direction
Hi, I am 36 years old and I decided to change my career so I started to learn python, I am interested in data science, I want to work about machine learning future but I am not sure it is possible for 36 years old man and from beginner level, dataquest platform is very good for learning, I am planning to finish your courses in 1 years, is it enough to be a good data analyst or do I have to do extra things?
Trying to switch career as data scientist/machine learning engineer. I am looking to complete it in 6months. How many hours per week should I spend to complete the data science? I hope dataquest helps me in this transition
I guess it all depends on your local job market, how much demand there is for entry-level Data Analysts and how fierce the competition is.
Thanks so much, though I just started learning Python because am new to programming language. How long do you think I can be able to adapt to knowing Python?
Welcome to the community - we’re excited to have you here!
Here’s a good place to start: How long does it take to complete the course?
My goal is to complete the Data science course in Python. I am well versed with Python and have a programming background in C/ C++. Wanted to transform my career as Data Science specialist and also wanted to learn the Machine Learning from Dataquest paltform.
@himanshugulati06 With your much stronger background in programming, I think it is good idea to dive into Machine Learning and become machine learning engineer.
After 30+ years as an Engineer in various manufacturing industries I decided I needed to get reinvigorated by changing careers. I retired from my old job and have a goal to work as a Data Scientist, a field that to me is exciting.
I’m reinventing myself, after retiring from my previous job. I’m middle aged and would love to work in the government or projects to be able to figure out solutions to social problems.
I’m in my first job out of college, and it involves data and data analysis in a lot of respects. I’ve done a lot of different kinds of work in my time at this job (nearing three years), and I found aspects involving data analysis to be some of the most fulfilling. I was in a position to know our projects intimately, but also had a bird’s eye view of the data we generated for our projects’ owners.
Being able to analyze, draw conclusions from, and storytell with that data to explain things to the project owners, advocate for my peers, and solve problems was some of the most satisfying, empowering work with a creative bent that I’ve done since I graduated.
Sadly, a lot of what I could do was rudimentary - “oh, I can do that for you” or “oh, you don’t need to worry about that” was something I heard a lot; there were limited opportunities to upskill in data analysis and visualization for the sake of those projects. Now, on my current projects, there’s more latitude to potentially bring those skills to bear, but the onus is even more explicitly on me (and my peers) to teach ourselves those skills, on our own time.
Whether I do it for my current job or one somewhere else, I want to develop my skills in coding, data analysis, R, Python, SQL, data visualization, and many other areas. The Data Analyst path is what appeals to me the most right now, but I’m enjoying the work so much that I’m considering subscribing to Premium so that I can continue practicing and expanding my knowledge, no matter how much of it I do or don’t bring to bear on the jobs I hopefully get with my overhauled skillset.
I especially love that the lessons are so direct - the feedback of running code and having to fix it myself to progress is so helpful, and a marked change from what i’ve encountered in other online offerings. (I find videos helpful in limited cases, but if you make them the norm in every single lesson, I will begin tuning out unless I can concentrate perfectly, which is much rarer and much harder for me with audio/video content.)
Hi, I am yet to start a project in R. Still going thru and revising basic concepts on R
Yeah thats why I am here.
Never late for learning -I am in my mid 40s. I want to start my career in advanced analytics, as well.
I have always been interested in programming and am always driven to find easier ways to manage data (whatever form it takes). I currently work in the legal field and used to work in finance, my brain is itching for something different and something that I have wanted to do for along time.
I’m working towards a career change. I’ve had a few jobs including being an optical engineer in the defense industry for 4 years, so I have a science and engineering background. I’ve never been strong on coding and until learning about data science wasn’t super motivated to learn. I interviewed for a “market intelligence” position, and although I passed the data test easily and they were impressed, in my 3rd round of interviews, another consultant on the team mentioned they nearly only hire previous consultants and never engineers. That’s actually when I started to become aware of the scope of data science and where I could fit in that field. I tried several learning modalities before landing on dataquest, and this format just works the best for me. I’m planning to complete the data science path by the end of 2019, sooner if I can. I have no idea if that will be enough to get my foot in the door of that first data science position, and if from that first position I’ll have enough opportunities to grow my career.
I have to work with ML and AI
Is this crtificate worth for my jobs?
I am striving towards a career stream change
I wanna move out of the support field that I am currently working on. And I believe data science is a good option
Good luck! You can do it. What’s the main language of the boot camp?
Certificate is not a truth presentation of one’s skills or knowledge. If the progress of learning helps you to pass the relevant interview rounds, then the course/path is worth the time. That is, how much effort are you willing to invest in yourself.