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#SoDS17 Step 1. Share Your Goals!
#1
What do you plan to learn this summer? Share your Summer of Data Science goals, and your plans for meeting them, here in the forum! 

Here is more info about the Summer of Data Science

Remember to make realistic goals and not take on too much, but also to stretch yourself, so what you gain will be worth the effort! Link to your post here on social media, sharing with the hashtag #SoDS17, or post on your blog and link to it here.

Then, if you don't have your own blog and you want to document your progress here, feel free to start your own thread in this forum. Re-state your goals in your thread, and post updates as you go - you can link to your posts here on social media with the hashtag. Make sure you title your thread clearly so others can quickly find the topics that interest them most. Encourage each other and give constructive feedback!

I'm excited to follow your progress!!

Renee
The Becoming a Data Scientist Podcast Data Science Learning Club is now sponsored by Data CampSee this thread for more info and a coupon. (must be logged-in to view)
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#2
I have a bunch of goals this summer related to my websites and podcast, but for learning activities, my first #SoDS17 goal is to do 3 Data Science Learning Club activities!

This could change, but at the moment, I'm planning to do:

1. Explain an Analysis - there's a simple data analysis I've been wanting to do, and I think it would be a good candidate for this type of practice explaining process and results


2. Neural Nets for Text - I haven't done any neural net / deep learning projects yet, and this looks like a fun one! However, I may apply them to images instead of text. We'll see Smile


3. Model Evaluation - I mostly want to contribute to this one, because I'm surprised no one has yet. I'll evaluate a model and tweak it and post the results there!


What are your Summer of Data Science goals?
The Becoming a Data Scientist Podcast Data Science Learning Club is now sponsored by Data CampSee this thread for more info and a coupon. (must be logged-in to view)
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#3
Hi,

After almost 20 years of job in various fields, the new year of 2016 sprung a surprise as I became unemployed and the streak continued till now due to various developments in Indian IT services industry. Then, came this idea of learning data science and MOOCs. I learnt few modules of R learning from Coursera, EDX and then came the Datacamp. I am very happy to have completed Datacamp's Data scientist in R track and theie Quantitative Analyst with R track ( almost complete!!)

I would like to contribute to any social causes by coding or participating/volunteering in data science project this summer. My goal is to bag a job in this field by end of july 2017

Thank you for this forum.
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#4
(05-30-2017, 06:51 AM)gopinath.subbegowda@gmail.com Wrote:  Hi,

After almost 20 years of job in various fields, the new year of 2016 sprung a surprise as I became unemployed and the streak continued till now due to various developments in Indian IT services industry. Then, came this idea of learning data science and MOOCs. I learnt few modules of R learning from Coursera, EDX and then came the Datacamp. I am very happy to have completed Datacamp's  Data scientist in R track and theie Quantitative Analyst with R track ( almost complete!!)

I would like to contribute to any social causes by coding or participating/volunteering in data science project this summer. My goal is to bag a job in this field by end of july 2017

Thank you for this forum.

Awesome! Thanks for sharing. Update us when you have picked a project to tackle this summer. 

Bonus: it will also look good on your resume to have a "real world" project in your portfolio!
The Becoming a Data Scientist Podcast Data Science Learning Club is now sponsored by Data CampSee this thread for more info and a coupon. (must be logged-in to view)
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#5
Hello Renee and Everyone..!! I am in Data warehouse field from last couple of years but came to know about DataScience field start of this year only and eventually about this club. I liked it a lot and following it from feb or march of 2017. I have completed various courses on Data Camp in both Python and R languages. Here is my plan for this Summer for "Becoming a Data Scientist":

1) I am planning to finish "Data Structures and Algorithms in python" book by end of Summer. Started this on 30th may.
"http://multimedia.ucc.ie/Public/training/cycle1/algorithms-in-python.pdf".

2) In parallel will develop my personal website and blog post column. Planning to keep it up and running by end of August, as I am going on vacation for complete month of July.

3) Will try to start reading "Introduction to Statistical Learning" book, as and when I get time and need some change in my reading. Planning to finish also by end of this summer. http://www-bcf.usc.edu/~gareth/ISL/ISLR%...inting.pdf

4) Will try to work on as many exercises, projects and applications as possible in this summer to implement all of my learning. Will post my progress as I move forward.

I will share my github repository link in other thread. Please suggest if you know any good books or what can i do better to learn and improve my plan for "Becoming a Data Scientist". I am planning to get a job by summer of next year in the field of Data Science.

Thanks a lot Renee for this forum and eagerly waiting to see more podcast.
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#6
I came across the hashtag early this week and decided to jump in, as a way to hold myself accountable! My goals for this summer are as follows: 
1) Complete a submission for the Sberbank kaggle competition. I'm getting pretty close, but having trouble getting it running XGBoost on my GPU box. (update: I completed this item on 6/6/2017! My model stinks, but I got it submitted, the next one will be better)
2) I started the Deep Learning MOOC at course.fast.ai. I want to complete this online course, and hopefully try out some of the homework assignments too.
3) The big one is to do some kind of full-fledged independent project, and blog about it. Make a really great example that people can learn from. At the moment, I'm thinking about digging into baseball stats, and crunch some numbers to see if I can come up with something novel or at least interesting. I always think of baseball during the Summer, so I figured I'd combine two of my main interests! 
3a) Keep reading through Python Machine Learning, and Python for Data Analysis. 
I hope to check back here and update with completion dates! Here we go!
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#7
I posted this on twitter, but I guess I should belatedly put it here:

1) Complete the Udacity Deep Learning nanodegree program, which will round out some areas that I've struggled with before.
2) Come up with presentation topic and presentation. I'm going to be in NZ for Kiwi Pycon in early September and ideally I'll submit a proposal for that one, but if not, maybe PyCascades in January (Vancouver) or even just a local PyData group.
3) Blog about it at http://michaelgat.com. Domain is there and wordpress is set up, I just have to finish setting up the theme and put some content on it.
4) Yes, I'll be reading too. Not entirely sure what, but it will relate to the above.

I've already started the Udacity course (just submitted the first project), so I'll have some words about that on my blog soon. In the meantime, if you want to know what I do on weekends, check out my alternate blog at adv.michaelgat.com. There's not much about DS there, but it may clarify why I'm flying to NZ for a Python conference...
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#8
I'm getting towards the end of my Microsoft Professional Program for Data Science track and am intending to spend the summer finishing it.  I have completed 7 courses and have two regular courses to go plus the final Capstone Project.  The project only runs for a month in each quarter so I am aiming to do it in October having completed all the taught modules.  Which means over the summer as part of the course I will need to complete

1) Programming with Python for Data Science 
2) Applied Machine Learning

This isn't too much for three months so I'll use the rest of the time either auditing some of the other optional courses or I have a few Udemy courses which I have bought and are ready to go including Kirril Eremenko's Machine Learning A-Z and Statistics for Business Analysis A-Z (I have been very impressed with his other courses).

Other goals include

3) Start a blog
4) Find some real world projects and blog about them
5) Attend the Open Data Science Conference in London in October - https://www.odsc.com/london
6) Start thinking about how to apply this in my work.  Unlike some others I'm not looking to find a job in data science - more to bring data science into my job.
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About Becoming A Data Scientist

BecomingADataScientist.com is a blog created by Renee Teate to track her path from "SQL Data Analyst pursuing an Engineering Master's Degree" to "Data Scientist". She created this club so participants can work together and help one another learn data science. See her other site DataSciGuide for more learning resources.

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