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[ FreeCourseWeb ] Udemy - What is Data Science- (Updated 4-2020)

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[ FreeCourseWeb.com ] What is Data Science? (Updated 4/2020)  

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Video: .MP4, 1280x720 30 fps | Audio: AAC, 48kHz, 2ch | Duration: 03:40:37 
Genre: eLearning |
Language: English + Subtitles | Size: 1.29 GB 

Build your mathematics and statistics foundations strongly and
ensure your Data science fundamentals are in place! 
What you'll learn 
You will gain a firm foothold of the
fundamentals of Data Science. 
You will understand the important terminologies and statistical methods in data
science 
You will understand the mathematics and statistics behind Machine Learning 
You will learn how to
pre-process data 
Apply your skills to real-life business cases 
You will learn what percentile is with the
help of examples 
Probability tells us how often some event will happen after many repeated trials, we start off
with an introduction to this interesting topic. 
Learn the fundamental concepts of descriptive statistics 
You
will learn how to collect data, how to visualize data, how to predict or explain different behaviors and events and how
to find ideas for data research. 

Requirements 
No prior experience is required. We will start from the
very basics 
Description 
A Data Scientist dons many hats in his/her workplace. Not only are Data Scientists
responsible for business analytics, they are also involved in building data products and software platforms, along with
developing visualizations and machine learning algorithms 
Data Analytics career prospects depend not only on how
good are you with programming —equally important is the ability to influence companies to take action. As you work for
an organization, you will improve your communication skills. 
A Data Analyst interprets data and turns it into
information which can offer ways to improve a business, thus affecting business decisions. Data Analysts gather
information from various sources and interpret patterns and trends – as such a Data Analyst job description should
highlight the analytical nature of the role. 
Key skills for a data analyst 
A high level of mathematical
ability. 
Programming languages, such as SQL, Oracle and Python. 
The ability to analyse, model and interpret
data. 
Problem-solving skills. 
A methodical and logical approach. 
The ability to plan work and meet
deadlines. 
Accuracy and attention to detail. 
Who this course is for: 
The course is also ideal for
beginners, as it starts from the fundamentals and gradually builds up your skills 

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Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and
we won't be here having this conversation. Think about it! Peace...  
 

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