Learn entire Probability and Statistics, Python,
Data Gathering and Cleaning, Machine Learning and Data Visualization
Rating of this Course : 4.5//5
Instructer : Aditya Khedkar
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
Course content
·
Introduction to data
Science
·
Probability
·
Statistics
·
Python Programming
·
Python Collections
·
Control Flow Statements
In Python
·
Gatting and Cleaning
Data
·
Data Science: Machine
Lerning
Requirements
·
IMPORTANT - You should
be enthusiastic to learn Data Science
·
Be able to understand
English
·
Basic knowledge of Computers
·
Rest everything leave
it to us, we will take you from novice to expert!
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.
Have a look at the few features of our course.
·
Handpicked curriculum,
specially designed for all levels of learners.
·
Continuous assessment
through challenging quizzes.
·
Get your questions
answered within 48 hours.
·
A variety of resources
such as useful links, books, PDFs are also provided.
·
Regular updates made
to the curriculum.
·
Different aspects of
Data Science explored.
·
Step by Step
implementation with explanations included.
·
Understand how can you
solve data science problems in real life.
·
Suggestions are always
welcome :)
● WHO CAN ENROLL FOR THIS COURSE?
This course is not intended for a specific
group of people. Anyone who wants to learn about Data Science can enroll for this
course. If you already know a few concepts, you can always revisit the
ideas and clear them. We have covered statistics along with technical topics.
In short, this is a perfect course for you if you want to kick start your
career in Data Science!
Who this course is
for:
·
Data Science
enthusiasts
·
Those who are looking
for a perfect start in Data Science domain
·
Those who are looking
to start their career as Data Scientist
·
Those who are
wondering what is Data Science
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