The following example will help you understand better what Data Science can do in the 21st Century.
Data Science in marketing
In the business world, how would you sort through the purchasing data to create your marketing plan? You enforce data-driven marketing campaigns to predict customer behavior and preferences. You can then use these insights to offer a more customized personal experience and for specific targeting of your audience. The possibilities of using Data Science in marketing are endless, maybe you learn Data Science and develop new methods of sorting through data which can get you profits, bonuses, promotions, and a chance to start something of your own. Just like marketing Data Science can be applied to anything you can think of, In simple words, if you analyze any data you have gathered you can find out ways to make the process more efficient and/or profitable.
Here are the 10 expertise in Data Science and will help you choose one.
Next, I will explain the process of becoming a Data Scientist.
The 5 golden steps
1. Learn a programming language( ‘Python’ or ‘R’)
If you don’t know what python is I would recommend this article, you can skim over it and come back. R is the same as Python but it is used in statistical analysis and graphing, whereas Python can literally do anything, from game development to web building, to website scraping. You can learn Python here with an additional project
and you can learn R here for Data Science with another applied learning project. (There are many courses on Python and R for Data Science, Contact us [Coursenator] or scroll down below to view the courses!)
If you want to exercise your basics I would recommend this book to hone your skills until you become a beast in Python and this book in R for Data Science.
1. Learn Data Science
The second part of your journey to becoming a Data Scientist is to learn the basics of Data Science, there are multiple things but I won't bore you with the details but here is a course for Data Science in Python and Data Science in R.
1. Discover case studies and work on projects
Once you get a hold of it, you should explore and research the following topics to get a hold of the process.
Data Science is an active, practical field of work and in order to perfect your skills, you need to get hands-on experience by which you can gain true knowledge of Data Science. By actively working on these common projects you will find basic problems that you will face in the field and start working on your approach to solving them. It’s all a game of application, think outside the box and figure out where and how you can apply Data Science to your activity/project/work/hobby.
1. Achieve your certification and start building a portfolio
By working on projects and case studies, you build your online presence on sites like Kaggle, Github, Linkedin, and others. This will help you get Data Science Jobs. In the 21st Century, job recruiters rarely hire people through the old fashioned way, through these online sites, your projects will sway them in your direction and increase the chances of you earning $100,000 per year!
You can shape your portfolio on the basis of your interests, for example, if you like machine learning, you need machine learning algorithms, you can also work on solving a business problem with Data Science as I mentioned at the beginning of this article. 1. Take part in coding competitions
If you want to master this field, Hackathons are the best way of doing it. Kaggle allows participation in Data Science competitions, you will get an in-depth experience of how to solve Data Science, and then you will be a beast in this field of work. Here is a video on how you can enroll in a Kaggle competition.
I have explained, how you can become a Data Scientist by starting with online courses and continue your way forward by working on live projects, building a portfolio, and participate in Kaggle competitions.
In the end, it’s all about hard work, you need to have determination, resolve and if you follow all of these steps correctly and efficiently you will have a boost in self-confidence that will help you in your career and your personal life too.
These are some of the best nanodegree programs which will get you certified to be a data scientist, and I say with 100% accuracy if you bag one of these, you will get a job on the internet by which you can begin your journey of becoming a successful Data Scientist without actually going to a university. If you have followed every step efficiently and with consistency, you will land a job like buying a pack of chewing gum, as the metaphor defines, you may not get the best flavored gum the first time, you have to travel far (in life) and achieve that success you have been dreaming of
here’s a review of udacity’s data science nanodegree!
Find out why udacity’s programs can help you get a job.
Data Science for Business Leaders
Become a Data Scientist
Become a Data Engineer
Data Streaming
Programming for Data Science with R
Programming for Data Science with Python
Data Visualization
Become a Data Analyst
Become a Data Product Manager
Here are some specializations from Coursera
Advanced Data Science with IBM specialization
Data Science: Statistics and Machine Learning Specialization
Data Science Specialization
IBM Data Science Professional Certificate
IBM Data Analyst
Coursenator wishes you the best of luck on your learning journey
Kickstart your learning!
Coursera Free Courses
So A lot of people ask me, Pranay are there any free courses on Coursera? I always tell them that All of the courses on Coursera are free but you can only audit them, if you want the certificate you have to pay $39-$49.
Coursera partners with more than 200 leading universities and companies to bring flexible, affordable, job-relevant online learning to individuals and organizations worldwide. They offer a range of learning opportunities — from hands-on projects and courses to job-ready certificates and degree programs.
Here are 7 steps by which you can get a Coursera certificate for free. Follow them and you can learn anything from anywhere!
Step 1
Go to https://www.coursera.org/ and click the button on the top right
Step 2
After clicking on the button, Sign up with your name, e-mail address, and password
OR
Just sign in with Google or Facebook, nowadays all the online platforms provide ways to sign in using popular sites.
When you’re signed in, search for any subject or topic of your choosing,
For example, I want to learn programming so I searched for “programming “ and I selected the third course.
You can apply filters to the courses as well, some of the filters include:
Language
You can learn in any language from Spanish, Russian, French, Portuguese, Arabic, German, Vietnamese, Italian, and more.
Level
You can decide on the level and study according to your current level of knowledge, there are three levels, Beginner, Intermediate, Mixed and Advanced.
Duration
You can choose how long you want the course to be, less than 2 hours or 1–3 months or 1–4 weeks or 4+ months.
Skills
If you search for programming a lot of different courses will show up, Now you can decide on which of the skills in programming do
you want to work on. For example, Python, Javascript, Java, C++, etc.
Partner
You can also choose courses according to the top-rated
universities like Harvard and MIT and learn from them.
Learning product
You can choose between which learning product, courses, guided projects, specializations, professional certificates, Mastertrack certificates, and Degrees.
After that click on the “Enroll now” button
After doing that there will be two options, “Purchase Course” or “Full course, no certificate”
You can buy the course or you can complete the course without any certificate OR you can complete the course and then pay and get the certificate.
All done, you can start learning!
Thank you for reading Coursenator’s blog post and if you have any questions you can reach us at
contactcoursenator@gmail.com, we’ll be sure to reply to you in a day!
