1. The poor - work & work.
2. The rich - exploit the poor.
3. The soldier - protects both.
4. The taxpayer - pays for all three.
5. The banker - robs all four.
6. The lawyer - misleads all five.
7. The doctor - bills all six.
8. The goons - scare all of seven.
9. The politician - lives happily on account of all right.
Written in 43 B.C. Valid even today !
2. Die rykes - buit die armes uit.
Geskryf in 43 v.C. Geldig selfs vandag nog!
9. Politikani - jeton i lumtur për të gjitha të drejtat.
Shkruar në vitin 43 para Krishtit E vlefshme edhe sot!
የተፃፈው በ 43 ዓ.ዓ. ዛሬም ቢሆን የሚሰራ!
Գրված է մ.թ.ա. Վավեր է նույնիսկ այսօր:
MÖ 43-cü ildə yazılmışdır Bu gün də etibarlıdır!
Yes,
I am going to answer this. There are a thousand reasons to be a Data
Scientist. But the main thing to tell you is that data scientist is
among the highest-paid roles.
In a report by the University of Wisconsin, an entry-level data scientist makes an average of $95000 a year.
A mid-level Data Scientist can make around $126000 to $190000 per year.
And the experienced data scientist can make above $250000 per year.
That is awesome.
For anyone looking for a bright & white-collar job in future must think at least a hundred times to be data science.
So the answer is clear. Be a data scientist, to earn well, live well.
Now
coming to the main thing, how one can start learning data science from
the beginning. Since it is still not a very popular field in most of the
countries. But the demand for data science professionals is rapidly
increasing.
IBM predicted it in 2017 that the demand for data
scientists is huge and will increase up to 28% by 2021. So, still, there
is a time in 2021. If one is motivated and thrived to be a successful
data science professional than this is the right time.
What You Need to do
You
need to start now. The great thing is, you can learn data science
online, without going to any college or campus. Yes, you may ask why
online learning? So the answer is simple. It’s Easy, self-paced and
faster way to learn.
Here, I’m sharing the best online resources for
learning data science from the beginning. In the next, I will also
focus on the best data science certifications and courses also. So here
is the list of best online resources to learn Data Science from Scratch:
Dataquest
DataCamp
EdX
Kaggle
Udacity
Udemy
Lynda
Pluralsight
KDNuggets
Coursera
Data Science Dojo
Let’s figure out each one of these, what they have got for you!
Dataquest
Dataquest
comes first in our list. Why? Because this is the simplest and quickest
resource to learn data science. The great thing about the Dataquest is
it’s just like the Codeacademy. It offers online classes and practicals
in a coding interface same as Codeacademy. The main learning essentials
are Python language and Ruby. These both are the building blocks for
data science learning.
dataquest
Dataquest offers three different learning paths.
Data Analyst (Beginner)
Data Scientist (Beginner)
& Data Engineer (Intermediate)
As
we already mentioned, data science is not a baby field. So there are
different areas and pathways. But you should start from the easier one,
such as Data Analyst course.
Learning at Dataquest is absolutely free
of cost. Yet, if you want to get premium resources and exams you need
to get a premium account that costs about $29 and $49. I think that’s
not much cost for learning data science.
DataCamp
datacampLike
Dataquest offered to learn in Python and Ruby only. DataCamp offers
dynamic learning with more languages & databases such as SQL, Git
& Shell.
There are about 9 different courses you can take to
enhance your skills as a beginner. But there are 188+ courses that are
not accessible by free learners. Premium users can access these learning
materials and courses at $25 and $29.
EdX
edx-data-science
No
one can ignore this great online learning resource, the EdX. Like other
dozens of studies and hundreds of courses, EdX also offers to learn in
Data Science.
With more than 56 universities in the partner program.
EdX gives you an opportunity to learn from MIT, Harvard, Columbia
University & Microsoft. That is amazing news for bookworms!
If one wants to get learned by the instructors from these universities, EdX is the one and only place.
Kaggle
Kaggle
is more than a learning platform. Its the whole ecosystem for Data
Science and the largest community for the data science professionals in
the world. Kaggle is a platform by Google and was founded in 2010. It
provides domain knowledge & skills about Python & R. These are
the two major languages in Data Science.
kaggle-data-science
Along
with Data science, Kaggle also emphasizes machine learning & deep
learning. These are the plus skills which can make your resume better
and also boost your career.
Udacity
Udacity has emerged as a
leading name in the online learning world. It provides a great learning
experience in Data Science. Udacity is also in collaboration with
organizations like Kaggle and IBM. This makes Udacity another great
learning platform for Data Science. Udacity also offers world-class
certifications and nano-degrees in different paths including:
Data Analyst
Data Scientist
Business Analytics
and Predictive Analytics for businesses.
Data-Science-udacity
So,
as we have discussed the top 5 online resources for data science
learning. But, there are other many places where you can polish your
skills in data science. Some other great resources for data science
learning are:
Udemy
More than 150 courses and tutorials by the
world’s top professionals and experts. Udemy is a great place where you
can learn Data Science in 11 different languages. Udemy also holds the
big record of having 700000+ students enrolled in Data Science Courses.
Data-Science-udemy
Lynda
It
has been a pioneer in the online learning world. Lynda is an e-learning
platform by LinkedIn. It offers 200+ courses in Big Data, Data Science
and Data analytics.
lynda-data-science
Pluralsight
It
is a premium yet very fruitful learning resource for data science
enthusiasts. Courses offered by Pluralsight are accredited and accepted
by top professionals in the industry.
pluralsight-data-science
KDNuggets
A
platform for data science learning, community, news and blogs, webinars
and jobs also. KDNuggets is a highly recommended and must visit the
site for the data science students.
kdnuggets-data-science
Coursera
Coursera
is a well-known resource for online learning in almost all domains. Yet
is a great place to learn data science too. The best thing about
Coursera is. It offers Certifications, Diplomas and Even Master Degrees
from top universities and colleges. Such as Arizona State University,
University of Illinois, University of London & Imperial College of
London. Isn’t that exciting?
Coursera-Data-Science
Data Science Dojo
Data
Science Dojo is another great platform to learn and ace data science in
a totally unique and innovative way. Their curriculum is to teach
students the fundamental concepts and techniques (just like the other
organizations on our list), but the approach of teaching is entirely
different. Their curriculum is taught from a business perspective.
data-science-dojo
The
enrolled students get admission to fast track Bootcamp organized in
different parts of the world. Students attended the Bootcamp
successfully, leave the Bootcamp with the ability to attack problems
with the mindset (and skillset) of a data scientist. You don’t have to
be a data scientist to think like one, as the result speaks for itself,
and since then, Data Science Dojo has produced a number of valuable data
science profiles since its inception. Check out their reviews on the
following platforms:
Switch-up: https://www.switchup.org/bootcamps/data-science-dojo
Course Report: https://www.coursereport.com/schools/data-science-dojo
What to do now?
Yes, this is the final thing one must ask us, or himself what should I do now?
Start
learning Data science now! It is not too late yet. You can learn it at a
fast pace if your mind is ready to dive into the sea of data. Like we
mentioned it before, it is a great thing to learn and is also the great
career to Earn!
So, don’t hesitate, & don’t panic. Think, Focus,
Concentrate. If you want to be a Data Science Professional, make
commitments & use these resources. I am sure these valuable courses
can add up skills to land your first data science job within one year.
Once
you have enough skill and qualifications, read out this comprehensive
guidline ‘Hiring a great Data Scientist‘ by Toptal, one of the leading
hiring and talent hunting platform. This guide will definitely guide you
through the hiring process about data science professionals.
So, be thrived, and motivated!
Author: Yumna Hafeez
Best Resources to Learn Data Science from scratch - Step …
Search domain theideators.co/data-science-learning/https://theideators.co/data-science-learning/
Here,
I’m sharing the best online resources for learning data science from
the beginning. In the next, I will also focus on the best data science
certifications and courses also. So here is the list of best online
resources to learn Data Science from Scratch:
Proper Guidance and
structure to become a Data Scientists in Aeronautics. Integrated
Product Development to build large passenger airplanes.
Learn entire Probability and Statistics, Python, Data Gathering and Cleaning, Machine Learning and Data Visualization
This course includes:
4.5 hours on-demand video
6 articles
11 downloadable resources
1 practice test
Full lifetime access
Access on mobile and TV
Certificate of completion
What you’ll learn
Become a well round Data Scientist
Python Programming for Data Science
Complete working flow of Data Science project
Role of Data Scientist in Today’s World
How to apply Probability concepts to Solve real life problems
Collecting Data from API (Application Programming Interface)
Collecting Data from JSON
Collecting Data from Local file, and CSV and Excel
Learn different techniques to clean the data
Probability for Data Science - Probability definition, Random Variables, Probability Distribution, Bayes’ Theorem
Discrete and Continuous Probability Distribution
Basic Statistical Concepts for Data Science
Learn about Collections in Python
What is Machine Learning and its types
Machine
Learning Models - Simple and Multiple Linear Regression, Advance Linear
Regression, Decision Tree, SVM, K-means Clustering
Supervised and Unsupervised machine learning models
Learn to use the popular library Scikit-learn in your projects
Learn to perform Classification and Regression modelling
Probability Distributions - Binomial Distribution, Normal Distribution and Poisson Distribution
Statistical Concepts - Mean, Mode, Median and Standard Deviation
Data Visualization
Description
If
I will tell the scope and future of data science in the World is very
high and Data Scientist is the most in-demand profession today, I am
sure you won’t trust. What if a great leader says so. According to Tim
Berners Lee, the inventor of the World Wide Web–
“Data is a Precious Thing and will Last Longer than the Systems themselves.”
Also, Vinod Khosla, an American Billionaire Businessman and Co-founder of Sun Microsystems declared –
“In the next 10 years, Data Science and Software will do more for Medicines than all of the Biological Sciences together.”
By
the above two statements, it is clear that data proliferation will
never end and because of that, the use of data related technologies like
Data Science and Big Data is increasing day by day. Data Scientist has
been ranked the number one job on Glassdoor and the average salary of a
data scientist is over $120,000 in the United States according to
Indeed! Data Science is a rewarding career that allows you to solve some
of the world’s most interesting problems!
Data science is used
by “computing professionals who have the skills for collecting, shaping,
storing, managing, and analyzing data [as an] important resource for
organizations to allow for data-driven decision making.” Almost every
interaction with technology includes data—your Amazon purchases,
Facebook feed, Netflix recommendations, and even the facial recognition
required to sign in to your phone.
Amazon is a prime
example of just how helpful data collection can be for the average
shopper. Amazon’s data sets remember what you’ve purchased, what you’ve
paid, and what you’ve searched. This allows Amazon to customize its
subsequent homepage views to fit your needs. For example, if you search
camping gear, baby items, and groceries, Amazon will not spam you with
ads or product recommendations for geriatric vitamins. Instead, you are
going to see items that may actually benefit you, such as a compact
camping high chair for infants.
WHY SHOULD I ENROLL FOR THIS COURSE?
In
this course, we will start right from the basics like what is Data
Science? Most of the people are often confused when they are asked -
“WHAT IS DATA SCIENCE?” The most common reply is - “UM, MACHINE
LEARNING. ” Well, Machine Learning is a part of data science domain but
it doesn’t mean that machine learning is the synonym of data science.
So
in this course, you will learn all the basic concepts related to data
science in a step by step approach. 1st you will learn about Probability
and statistics. Probability and statistics help to bring logic to a
world replete with randomness and uncertainty. This course will give you
tools needed to understand data science, engineering, and finance. You
will learn not only how to solve challenging technical problems, but
also how you can apply those solutions in everyday life.
Then you
will learn what is programming and programming language for data
science using Python. You will learn the basics of python language,
Collections, keywords and variables, control flow statements and
functions in python. After that, you will learn the most important task
of data scientist which is collecting data from different sources and
clean and prepare that data for analysis. You will learn how to gather
data from local files, CSV and Excel, JSON file and API. But when you
collect any it will be definitely in a messy format. So you will also
learn how to clean that data in a simple way so that you can spend less
time on cleaning data and more time on exploring and modeling data. And
in the end, you will learn different machine learning models from which
you can train your data and find insights from it.
In
this course, you will learn the entire data science project timeline in a
step by step manner. And with a simple explanation language and use of
real-life examples for better explanation purposes will help you to
understand the important concepts in a simple and relatable manner.
Also See : Data Science, Machine Learning, Data Analysis, Python & R
Enroll Now
Tags
Data ScienceData VisualizationMachine LearningProgrammingPython
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