Published on: 2024-04-04 04:37:55
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Data Analysis BootcampTM 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 science data, image storage and Google Data Studio is . The purpose of data analysis is to discover how these data can answer our questions or solve the problems that occur during the use of technology . In the last two decades, etc. inclusive of internet and connected devices, etc. has caused the volume of data production to significantly increase to come, so that the amount of data that are nowadays at our disposal is surprising and inimitable . Skills and the ability to collect, transformation and insight into the value and application of this volume of data, etc. are rapidly becoming one of the most demanding skills in the 21st century is .
In this course, you will learn how to use data, analysis, statistics, probability and preliminary data science to progress your career and everyday life . You will also learn how to build attractive dashboards and display information and results using illustration as well as prediction . Other techniques and concepts include data manipulation in pandas, assumption test , geographic data illustration and machine learning with monitoring and clustering . The examples that this course studies can also be analyzed election results, Olympics, restaurants, marketing and advertising, text analysis , time series prediction (supply and demand), etc. A quick introduction to Python as well as a full course of work and design with Google Data Studio is also included in this collection .
Understanding the value of data and the importance of analysis 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 assumption and a/B tests, 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, Election, Sports, Airbnb, Uber and many more
And …
Beginners in the field of data analysis
Business analysts who want to make more use of the data at their disposal
University graduates who have not worked with practical and real projects
Engineers or software developers who change their careers to data analysis
Everyone who seeks to understand and understand the data and gain insight from it
People who seek to form a proper foundation have given Bachelor of science before starting
Publisher: Udemy
Lecturer: Rajeev D. Ratan, Nidia Sahjara
Language: English
Training level: preliminary
Number of lessons: 168 lessons
Duration: 21h 6m
After the Extract with the Player your custom view.
Subtitles: English
Quality: 1080p
Changes:
Version 2021/9 compared to 2020/4 has increased the number of 39 lessons and the duration of 6 hours and 11 minutes. Also, the Quality of the course has increased from 720p to 1080p. English subtitles have also been added to the course.
9.79 GB
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