Description
Data Analysis Bootcamp™ 21 Real World Case Studies Comprehensive and practical training course data analysis And in particular, the acquisition of skills Business intelligence Using statistics, data mining, data science, visualization and Google Data Studio. The purpose of data analysis is to discover how these data can answer our questions or solve problems that occur during the use of technology. In the last two decades, the spread of the Internet and connected devices has caused the amount of production data to increase significantly, so that the amount of data that we have today is surprising and unique. The skill and ability to collect, transform and gain valuable and useful insights from this volume of data is quickly becoming one of the most in-demand skills in the 21st century.
In this course, you will learn how to use data, analytics, statistics, probability, and introductory data science to advance your career and everyday life. You will also learn how to make attractive dashboards and display information and results using visualization and forecasting. Other techniques and concepts include data manipulation in Pandas, hypothesis testing, geographic data visualization, and supervised and unsupervised machine learning (clustering). Among the examples studied in this course are the analysis of election results, Olympics, restaurants, marketing and advertising, text analysis, time series forecasting (supply and demand), etc. Also, a quick familiarization course with Python as well as a full course of work and design with Google Data Studio are also included in this collection.
What do you learn:
- 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-learn modules
- Learning visualization tools such as Matplotlib, Plotly and Mapbox
- Familiarity with hypothesis testing and A/B, t tests and p values
- Machine learning based on linear regression, K-NN, logistic regression, SVM, random tree, etc
- Analyze and study a variety of examples including examples from retail, health, elections, sports, Airbnb, Uber and many others
- And …
This training is suitable for people who:
- Beginners in the field 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 career to data analysis
- Anyone who seeks to understand data and gain insight from it
- People who seek to form a suitable foundation before starting the Bachelor of Science
Specifications of Data Analysis Bootcamp™ 21 Real World Case Studies:
- Publisher: Udemy
- teacher: Rajeev D. Ratan, Nidia Sahjara
- English language
- Education level: introductory
- Number of lessons: 168 lessons
- Duration: 21 hours and 6 minutes
Headlines
prerequisites
- Familiar with basic programming concepts
- High school level math knowledge
- Broadband Internet connection
Pictures
Sample video
Installation guide
After extracting, watch with your favorite player.
English subtitle
Quality: 1080p
Changes:
The 2021/9 version has increased the number of 39 lessons and the duration of 6 hours and 11 minutes compared to 2020/4. Also, the course quality has been increased from 720p to 1080p. English subtitles have also been added to the course.
download link
File(s) password: www.downloadly.ir
Size
9.79 GB
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