Hacks for becoming a Top Data Scientist in 6 Months- PART 1: Road map
Data Scientist is rated the best job in America for 2017, with a median base salary of $110,000 (Source: Glassdoor). Careers include data scientist,data engineer, data analyst, statistician, data manager, data architect, business analyst.
Why Data Scientist? As a economist who has bachelor degree (finance, banking and insurance) at Faculty of Economics, University of Belgrade and MBA ( Leader Project) at Ivey Business School, I didn’t want to throw away my years of studying to become “course programmer”.
As I am Marketing Manager for 2 years at my startup Petrucci Elegance and also at Youth Business Forum I know that I am not born to work in the bank.
I go to every meetup in Belgrade at Ict Hub, Startit and Impact Hub (topics about digital marketing, entrepreneurship, it, data science, AI). Also I am person who learns new things every day, never give up and has big hunger for knowledge.
I read 1500 words in one minute,and in 2017 I read 50 books. Did you know that average person read 400 words in one minute, and read about 50 books in whole life?
Tech and startup community in Belgrade is so strong and big and I really love it. I was always different from others so these community is awesome place for me. I wanted to become part of IT sector, and I didn’t know where to begin and what career path is for me. So Data Science become perfect career path for me.
There are aproximately 215,000 open job positions in Data Science (Source: Indeed.com).
There are currently about 31,000 openings for Statistician positions in the US (Linkedin), offering an average salary of $77,000 (Glassdoor).
I asked my friend Slavo and my mentor now what I should do in my career. He knows me very well and he said you are born for Data Scientist. So I accepted 6 months challenge to become TOP Data Scientist.
Here is my ROAD MAP from January to August 2018. My mentor Slavo make it for me and he supports me on daily basis.
Every day watching KirillEremenko Super Data Science and podcasts.
(Watching from January and every month ahead)
Read writing from Kirill Eremenko on Medium. Director at SuperDataScience. Every day, Kirill Eremenko and thousands of…medium.com
As you can see after, most of my courses are Kirill courses and also Hadelin de Ponteves. I really love their way of explaining everything and so far they learned me a lot for these 19 days in 2018.
Read writing from Hadelin de Ponteves on Medium. . Every day, Hadelin de Ponteves and thousands of other voices read…medium.com
1. I watched this videos on You tube for motivation and inspiration and to see is DS for me:
2. Sunday 6.1.2018. Watched Careers in Data Science A-Z and wrote everything I didn’t know or understand it. Found it on Google and then day after started to learn. :)
I had to watch it that day in whole. The course is awesome. Kirill Eremennko and Hadelin de Ponteves really knew how to explain complex things so easy.
How to Become a Top Level Data Scientist - Learn What to Expect, How to be Prepared, How to Stand Out and More...www.udemy.com
3. Must finish by the 25th January these two courses (And guys I am finishing them on the time :))
A practical programming course for office workers, academics, and administrators who want to improve their…www.udemy.com
Learn Python like a Professional! Start from the basics and go all the way to creating your own applications and games!www.udemy.com
4. Read every day these two books and to exercise Python. (You can too download pdf and read it)
In Automate the Boring Stuff with Python, you'll learn how to use Python to write programs that do in minutes what…automatetheboringstuff.com
5. On the 26th I have to learn this courses by the end of the January.
Improve your Python skills by solving 100 Python assignments and compare your solutions with those of the instructor.www.udemy.com
Learn The Core Stats For A Data Science Career. Master Statistical Significance, Confidence Intervals And Much More!www.udemy.com
How to Keep Your Health in the Modern Day Workplace - Learn What You Are Doing Wrong, How to Correct it & Much more...www.udemy.com
6. Open Git Hub by the end of January and upload my projects in Python :
Learn how to use version control in Git and Github with our online course in collaboration with Github. Learn how to…www.udacity.com
(for me this course was too heavy, I didn’t understand it. From everything in January Git and Git Hub were so hard for me. I had to learn the basics in one day, instead I learned it in three days. And now I am so exciting to upload my project on Git Hub)
7. Open my Kaggle account and start competing in Data Science.
8. Learn Tableau basics and exercise with real data three days a week.
I really love Tableau and I decided to exercise it every day. I read somewhere when you work on something every day only for 1 hour you will be master in that field in two years. Isn’t that awesome?
1. Learn Python A-Z: Python For Data Science With Real Exercises!:
Programming In Python For Data Analytics And Data Science. Learn Statistical Analysis, Data Mining And Visualizationwww.udemy.com
2. Learn Advance Tableau:
I decided to exercise every day Tableau for 1 hour as I said prevously. So I bought all courses from Kirill Eremenko and Super Data Science. I want to master it because I really like Tableau and data. Also at my Faculty we have marketing research where we used SPSS. I got A score and really like that data. So Tableau is really awesome and something I see myself doing every day at my future work as a Data Scientist.
Master Tableau 10 in Data Science by solving Real-Life Analytics Problems. Learn Visualisation and Data Mining by…www.udemy.com
Tableau Interview Questions To Maximize Your Chances Of Getting A Data Analytics Or Tableau Developer Or Analyst Jobwww.udemy.com
Learn how to apply colour theory to improve your Data Science & Analytics data visualisations and presentationswww.udemy.com
3. Open my Upwork profile and start working for my portfolio in Data Science
4. LINKEDIN- status Learning Data Science \ Machine Learning
Until now everything was preparation for this!:
1. Learn these courses every day:
Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more!www.udemy.com
Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included.www.udemy.com
Learn to create Deep Learning Algorithms in Python from two Machine Learning & Data Science experts. Templates…www.udemy.com
2. Read these books as essential to become a top Data Scientist:
3. Learn SQL
Learn Both SQL Server & PostgreSQL By Doing. Enhance Your Data Analytics Career With Real World Data Science Exerciseswww.udemy.com
4. Prepare for the interviews and start applying for top jobs in Data Science
Part of my #6monthschallenge is also to write blogs every week about my everyday progress in Data Science road map. I will write every week one blog how was my previous week. I will write about these courses, about my struggles and everything on the road map to become a Top Data Scientist. This way I want to help others who want to become a Data Scientist or doesn’t know how to begin his/her career path. I will write honestly about everyday challenges, working hours and learning new things in Data Science. Also I am writing this to motivate myself to stay on the path and to motivate others to begin their career in Data Science.
As Kirill said “See you next time, until then happy analyzing!”
#6monthschallenge #datascience #machinelearning #womenintech #deeplearning
I used info graphics from my courses from Kirill Eremenko and Super Data Science.
<div class=”LI-profile-badge” data-version=”v1" data-size=”medium” data-locale=”en_US” data-type=”horizontal” data-theme=”light” data-vanity=”manjabogicevic”><a class=”LI-simple-link” href=’https://rs.linkedin.com/in/manjabogicevic?trk=profile-badge'>Manja Bogicevic</a></div>