Description
Customer Analytics in Python 2020 Comprehensive customer analysis training course in Python using methods PCA , K-means clustering , elastic modeling and deep neural networks. In today’s fast-paced economy, data science and marketing are two key forces for companies that want to stay ahead, and customer analytics is exactly where these two forces come together. This course is accompanied by extensive knowledge of data science and exciting methods used by companies and teaches how to implement all of them in Python. Mastering this knowledge and skills can be very profitable, considering the high income job opportunities that exist in the field of data science, as well as the change and transformation of the marketing department of many companies in line with the use of this science.
According to the scope of the content in this course, its topics are divided into five sections. The first part is familiarization with related concepts and theories, and then in the second part, cluster analysis and dimensionality reduction in the direction of customer segmentation with the help of K-means algorithms and principal component analysis (PCA) are taught. Popular ones such as NumPy and scikit-learn are used. The third part focuses on the application of descriptive statistics as an exploratory part of the analysis and to interpret customer behavior, and in the fourth part, regression modeling for the probability and quantity of purchase and brand selection is done with the help of linear and logical regression using the sklearn library. Finally, in the fifth section, the power of deep learning is used to predict future behavior using artificial neural network and TensorFlow 2.0 framework.
What do you learn:
- Professional mastery of customer analysis – introductory to advanced
- Getting to know the most important analyzes that are used in medium and large companies
- Understanding the basics of marketing modeling theory: segmentation, targeting and…
- Perform K-means clustering, PCA and their combination
- Modeling the probability of purchase, number of purchases and brand choice by customers
- Optimizing the results of neural networks
- And …
This training is suitable for people who:
- People looking for employment in the field of data science or business intelligence
- People who are interested in numbers and quantitative analysis
- People who are working in the field of data science and want to expand their skills
- People who work in the field of marketing and want to strengthen their career by mastering data science
Specifications of Customer Analytics in Python 2020:
- Publisher: Udemy
- Instructor: 365 Careers and 365 Careers Team
- English language
- Education level: Intermediate
- Number of lessons: 77 lessons in 13 sections
- Duration: 5h 10m
Headlines
prerequisites
- You’ll need to install Anaconda. We will show you how to do it in one of the first lectures of the course
- Basic Python programming
- A willingness and enthusiasm to learn and practice
Pictures
Sample video
Installation guide
After extracting, watch with your favorite player.
English subtitle
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
1.97 GB
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