Udemy – Data Analysis Bootcamp™ 21 Real-World Case Studies 2021-9 – Download
Description
Data Analysis Bootcamp™ 21 real-world case studies, the period of comprehensive training and applied data analysis and, in particular, the acquisition of skills in business intelligence using statistics. Data Várzea is scientific data, image storage and Google Data Studio. The purpose of data analysis is to find out how this data can answer our questions or solve the problems that arise when using technology. In the last two decades, etc. including the Internet and connected devices, etc., the volume of data production has increased significantly in the coming years, so the amount of data available to us today is surprising and inimitable. Skills and the ability to collect this amount of data, transform it and gain insight into its value and application etc. is quickly becoming one of the most demanding skills in the 21st century.
In this course you will learn how to use data, analysis, statistics, probability and preliminary data science to advance your career and everyday life. You’ll also learn how to create attractive dashboards and display information and results using illustrations and predictions. Other techniques and concepts include Pandas data manipulation, acceptance testing, geographic data representation, and machine learning with supervision and clustering. Examples this course explores also include analysis of election results, Olympics, restaurants, marketing and advertising, text analysis, time series forecasting (supply and demand), etc. A brief introduction to Python and a complete workflow and design flow with Google Data Studio are also included in this collection.
What things to learn
Understand the value of data, the importance of analytics and its role in business.
Learn how to use Python and Pandas, Seaborn and Scikit modules
Learn illustration tools like Matplotlib, Plotly and Mapbox
Familiarity with assumptions and A/B testing, t and p values
Machine learning based on linear regression, K – NN, logical regression, SVM, random tree, etc.
Analyze and study a variety of examples including retail, wellness, elections, sports, Airbnb, Uber, and many more
And…
This training is suitable for people who:
Beginners in data analysis
Business analysts who want to make better use of the data available to them
University graduates who have not worked on practical and real-world projects
Engineers or software developers who are switching their careers to data analysis
Anyone trying to understand and understand the data and gain insights from it
People who want to build a solid foundation have earned a Bachelor of Science before starting
Profile Data Analysis BootcampTM 21 real-world case studies
Editor: Udemy
Lecturers: Rajeev D. Ratan, Nidia Sahjara
Language: English
Level of training: preliminary
Number of lessons: 168 lessons
Duration: 21h 6m
Peak seasons
requirements
- Familiar with basic programming concepts
- High school level math skills
- Broadband internet connection
Pictures
Example film
installation Guide
After extracting with the player you will get your custom view.
Subtitles: English
Quality: 1080p
Changes:
In the 2021/9 version, compared to 2020/4, the number has been increased to 39 lessons and the duration to 6 hours and 11 minutes. Additionally, the quality of the course has been increased from 720p to 1080p. English subtitles have also been added to the course.
Download link
Password file(s): www.downloadly.ir
File size
9.79GB