explanation
Data Analytics BootcampTM 21 Real-World Case Studies, comprehensive training period, acquisition of business intelligence skills using applied data analysis, especially statistics. Data Várzea is scientific data, image storage and Google Data Studio. The purpose of data analysis is to find out how these data can answer our questions or solve problems that arise while using technology. Internet and connected devices, including the past 20 years. This will significantly increase the amount of data production in the future, and the amount of data we can process today is astonishing and inimitable. The technology and ability to collect, transform, and provide insight into the value and application of this volume of data and more is fast becoming one of the most in-demand skills of the 21st century.
In this course, you will learn how to use data, analytics, statistics, probability, and preliminary data science to advance your career and daily life. You’ll also learn how to build engaging dashboards and use illustrations and forecasts to present information and results. Other techniques and concepts include machine learning with Pandas’ data manipulation, assumption testing, geographic data illustration, monitoring, and clustering. Case studies studied in this course may include analyzing election results, the Olympics, restaurants, marketing and advertising, text analysis, and time series forecasting (supply and demand). This collection includes a brief introduction to Python as well as a complete process of working and designing with Google Data Studio.
What 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.
Explore illustration tools like Matplotlib, Plotly, and Mapbox.
Knowledge of assumptions and a/b testing, t and p values
Machine learning based on linear regression, K – NN, logical regression, SVM, random tree, etc.
We analyze and study a variety of cases including retail, wellness, elections, sports, Airbnb, Uber, and more.
and…
This training is suitable for:
Beginner in data analysis
Business analysts looking to do more with data at their disposal
College graduates who have never worked on a real, practical project.
Engineer or software developer who switched careers to data analytics
Anyone who wants to understand, understand, and gain insights from data.
Those who want to form a proper foundation should obtain a Bachelor of Science degree before starting.
Profile Data Analysis Bootcamp™ 21 Real-World Case Studies
publisher: Udemy
Instructors: Rajeev D. Ratan, Nidia Sahjara
Language:English
Training level: preliminary
Number of classes: 168 classes
Duration: 21 hours 6 minutes
head season
precondition
- Those who are familiar with basic programming concepts
- High school level math knowledge
- broadband internet connection
image
sample video
installation manual
Custom view after extraction to player.
Subtitles: English
Quality: 1080p
Changes:
The 2021/9 version has an increased number of lessons of 39 and 6 hours and 11 minutes of class time compared to the 2020/4 version. Additionally, course quality has been improved from 720p to 1080p. English subtitles have also been added to the course.
download link
Password file: www.downloadly.ir
file size
9.79GB