Data Science de A a Z - Extraçao e Exibição dos Dados Udemy Course
Download CourseData Science de A a Z - Extraçao e Exibição dos Dados Course Criado por Felipe Mafra.
Data Science de A a Z - Extraçao e Exibição dos Dados has 4.6 rating out of 5 based on 5864 students. Currently this course has 26.632 alunos. Course langwage is Português.
Data Science de A a Z - Extraçao e Exibição dos Dados Course Description
A to Z data science
The essential things you need to know about this course are: It is intended for beginners. This is my audience and I love working with them.
So, if: if you want to get into the realm of data science but don't know where to start, if you've taken a great course but feel you've gone too deep to understand anything, if you want to know all the important concepts surrounding this area, if you If you're a college student looking for knowledge of the area, if you want to get an overview, knowing how to walk alone is a great base. Your place is here. Let's learn a lesson from those who have never seen it before.
The job of a data scientist is not just a luxury. There are some things no one tells you, like where everything gets done before beautiful graphics for decision making are shown, and I'll show you all of them here so you won't be surprised by anything in the real world.
This course follows the plus-learning logic that can only be found here. Loading and processing data from SQL Server
Why are you loading data?
The data scientist profession spends 70% of its time working with data. Data, our main actor, must be processed, standardized and cleaned so that all technologies can be applied at a later stage. Here you will have a strong foundation for this processing using Integration Services tools with the SQL language as well as Python. Finally, we build from scratch a component of Integration Services that notifies us when records change and records changes. And I will install SQL Server DO ZERO.
Infrastructure
Another point is: Have you ever wondered what a data scientist environment is like? How are folders organized, how are scripts stored, and how are data compared? Here we will also focus on environment infrastructure, folder organization, and script versioning.
Graphics
An indispensable resource for data analysis is graphs. Can you imagine looking at a graph and seeing if the variables are correlated? Or are you talking about how much correlation there is between them? Here, we'll show you the most common types of graphics, their variations, and last but not least, how to style these graphics by choosing a color palette, as well as a simple way.
Resources
Among the course's general resources, the following are provided.
SQL related to data science
Integration Services and ETL.
Python for data processing using Pandas.
Python for mathematical calculations using NumPy.
Python graphing using MatplotLib.
Stylish graphics in Python and custom graphics in SeaBorn
Dedicated Server
An online storage server is provided to facilitate the process! If you can't find the file on the manufacturer's website, all downloads can be done from this server. In addition to the course software, all data sets and script code are organized into folders separated by modules for easy access!
Yes, all in one course!
As you can see, this is a large course and classes are being added every week!
With lessons you already know!
This is a generalist course where you can see the entire area because it shows the acquisition and processing of data, which is a graphic display for decision-making, from the beginning to the end of the area.
Data University - Improve your knowledge!
I was born in Rio de Janeiro, the second largest city in Brazil, the third in South America and the 16th largest in the world. He has over 19 years of experience in IT, a passion for technology, professional instructors, business intelligence analysts and data engineers, certified on the most diverse platforms in Infrastructure & Servers, Databases, Business Intelligence, Networks & IT.
Repsol has extensive experience with multinational companies such as YPF, Intelig Telecom, TIM Celulares and Ceras Johnson. He has experience working as a BI consultant at IBM, one of the world's largest IT companies, and is responsible for BI projects in the ETL and Cubes area of the world's duty free shop.
Written over 15 courses with over 180,000 students in over 40 countries, and commercialized in the digital world by the renowned Udemy in the USA.
Development specialization in the city of Kitchener, a region known as Canada's Silicon Valley. Author of the book Business Intelligence with SQL Server 2012 in practice and maintainer of the UniDados website and blog, focusing on business intelligence, courses, books and tutorials.
Currently working 100% remotely in business intelligence as a data engineer for a Canadian company and a Microsoft Gold Partner.
Approved interviews in media such as Exame magazine and Canal Jovem Nerd with Udemy instructor partners in 2017, 2018, 2019, 2020 and 2021.
Authenticate:
MCT - Microsoft Certified Trainer 2020 / 2021 / 2022
Microsoft Power BI Certification
MCSA 2000
MCSA 2000 + M -
MCP 2000
MCSA 2003
MCDBA SQL 2008
ITIL V3
Linux LPI I
Oracle OCE
MCTIP 2008
Data Science de A a Z - Extraçao e Exibição dos Dados Course for
- Iniciantes na área de Data Science
- Estudantes de TI
- Estudantes de Bancos de Dados
- Qualquer pessoa com muita vontade de aprender
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