A Smarter Way
to Learn “Data Science
Whether you’re new or just need to brush up your skills in data
science, we’ll help you know everything about Data Science in detail.
Before
stepping into Data Science concept, you must be aware of the several things that
will help you add value to your business.
Points you need to consider
Programming Language
So,
before you knock up Data Science, Programming Language must be a foremost
factor you should take into account. Here, we prefer 3 Programming Languages
such as:
Python
R
JAVA
In
the new era of technological advancements, Python and R have been considered to
be the topmost languages as they include lot of liabraries and with the help of
those libraries one can implement several machine learning algorithms.
Machine Learning
While
considering Machine Learning, various techniques
coming into existence are defined as Supervised, Unsupervised, Reinforcement
and much more. Further if you move on to machine learning, you will be facing
several problems such as:
Classification
Problems
Regression
Problems
Reinforcemental
Learning
Deep
Learning
Dimensionality
Reduction
Apart
from these, Clustering Algorithm is also included in Machine Learning process.
All your problems basically revolves around these kind of scenarios discussed
above.
Next we move on to TOOLS,
IDE (Integrated Development Environment) is a basic tool
used for coding the Python and R Programming languages. There’s another tool
called Pycharm in Python Programming Language, Jupiter and Spider also comes in
the same. So, if you gear up with Python, make sure you go with one of these
tools of IDE and if you’re going with R Programming language, know what’s
included in R studio and how to work with it further.
Web Scrapping
The
tool is generally used to collect data and for that various libraries are
considered such as
Beautiful
Soup
Scrapy
URLLIB
All
these tools discussed will sort all your problems and help you read data apart
in the form of Jason. Basic knowledge of Web Scarpping will surely lead you to
grab much information.
What is the Role of Maths in Data Science?
The
field keep the hold of the concepts drawn from Mathematics as the results
achieved from specific processes might be useful for the following problem such
as forecasting company profits. In data Science, the understanding of various
notions of Statistics and Probability Theory are said to be the key for
implementing such algorithms. When we talk about Maths here, the whole slot of
algorithms basically revolves around Statistics, Linear Alg, and Differential
Calculus.
Data Visualization
Data
Visualisation basically includes
Tableau
Power
BI
All
these tools differ from each other and help you do different visualization
stuff. Apart from this, you have Python and R having different libraries that
might plot bond which let you do a lot of visualisation with respect to your
code that you’re basically writing.
Data Analysis
The
most important stage helps in doing
Feature
Engineering
Data
Wrangling
Exploratory
Data Analysis
Another scenario comes Deployment!
In
this particular deployment, you can use different tools such as
AWS
Azure
Now,
all the components that have been discussed above, you need to follow atleast
one-one thing from these. If we talk about Programming Language, you must be
aware of all the algorithm so, learn, grab and understand the maths behind
them. You can start it by solving them, implementing them. However, based on
Data Scientist, you will be using different techniques. So, before getting into
machine learning algorithm, we might use particular libraries stating Tableu,
Power BI and many more.
While
implementing, you need not to study all these concepts separately, gear up or
give a start with some used case, for example, you can take a house prediction.
What will you require for that will be- data! So, get started with used case,
apply the used case and try understand what that case is all about. Further,
applying to all these techniques, you can even start with Data Visualisation
Technique or Data Analysis Technique. With this you can come on to the Machine
Learning process, where you can detect various problems, such as regression
problem, deep learning or classification problem. Then make a move towards IDE
(Integrated Development Environment) where you will be applying different
codes.
Summing Up
Even though you are working on some different
domain name, if you give an idea that you can solve this particular problem
with the help of machine learning that will be a very great use for the company
people. May be your manager or Team Leader appreciate you for the same as you
are trying your best to solve the particular problem in an effective manner
through the machine learning technique itself. What you basically need to do
is, try to do a reverse engineering, follow the part discussed above and
analyze results accordingly by implementing these steps. However, you need to
study, work and implement those specific tools, algorithms and solve problems
in order to define your work in no time and proceed further with the flow.
Contact
now :-
SCO-9, First
Floor, Sector-11, Panchkula, Haryana 134109
SCO -14
Kalgidhar Enclave, Zirakpur. 140604
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