explanation
Customer Analytics in Python 2020 A comprehensive customer analytics training course in Python using PCA methods, K-means clustering, response modeling, and deep neural networks. In economics, today’s science, data and marketing, it is where these two forces come together that is at the heart of any company that wants to get to and stay at the top and analyze its customers. The course comes with extensive knowledge about data science and interesting methods that companies use and implement in Python training. Mastering these knowledge and skills can be very advantageous for the marketing departments of many companies to utilize this knowledge as the career opportunities are high and there are changes and changes in the field of scientific data as well.
Depending on the scope of content for this period, the topic is divided into five sections. In Part 1, you will learn concepts and theories related to IS, and in Part 2, you will analyze the K-means algorithm and principles that help the algorithm by reducing the dimension in the direction of clustering analysis and customer segmentation. Popular PCA (component) training and packages such as NumPy and scikit-learn are used. The third section focuses on applying descriptive statistics as an exploratory part of the analysis, which is very effective in interpreting customer behavior. In the fourth section, rebound modeling for purchase probability, purchase quantity, and brand selection was implemented. Linear and logical regression are also used in this section using sklearn library. Finally, the fifth section leverages the power of deep learning to predict future behavior using artificial neural networks and the TensorFlow 2.0 framework.
What to learn
Professional mastery of customer analytics – from basic to advanced
Knowledge of the most important analytics used in midsize and large enterprises
Basic understanding of marketing modeling theory: segmentation, targeting and…
Perform K-means clustering, PCA and their composition
Customer purchase probability, purchase frequency, and brand selection modeling
Optimizing neural network results
and…
This training is suitable for:
People looking for a job in data science or business intelligence
Anyone interested in numbers and quantitative analysis
People who are working in data science and want to expand their capabilities
People who are working in marketing and want to enhance their career by mastering data science.
Customer analytics profiling in Python 2020
Publisher: Udemy
Instructor: 365 experience, 365 team experience
Language:English
Training level: Intermediate
Number of classes: 13 sections, 77 classes
Duration: 5 hours 10 minutes
head season
precondition
- You need to install Anaconda. I’ll show you how to do this in one of the first lectures of the course.
- Basic Python Programming
- Willingness and passion to learn and practice
image
sample video
installation manual
Custom view after extraction to player.
Subtitles: English
Quality: 720p
download link
Password file: free download software
file size
1.97GB