Udemy – Customer Analytics in Python 2020 2020-3 – Downloadly
Description
Customer analytics in Python 2020 is a comprehensive customer analysis training course in Python using PCA methods, K-means clustering, reactionary modeling and deep neural networks. In business, today’s science, data and marketing, the key for companies that want to position themselves at the top, retain customers and analyze lies exactly where these two forces come together. This course is accompanied by extensive knowledge of data science and exciting methods that companies use and all of which are implemented in Python training. Mastering these knowledge and skills in terms of employment opportunities is high, as there are also changes and transformations in the field of scientific data, and the marketing department of many companies can be of great advantage in leveraging this knowledge.
The topics are divided into five sections according to the amount of content in this period. The first part of the … familiarizes with the concepts and theories related to IS and then in the second part with the analysis of clustering and dimension reduction towards the segmentation of customers to the algorithm of the K-Means algorithm and the principal analysis Support .Component (PCA) training and packages such as NumPy and Scikit-Learn are used. The third section also focuses on the application of descriptive statistics as an exploratory part of the analysis, which are very effective in interpreting customer behavior. In the fourth section, rebound modeling is implemented for purchase opportunity, purchase quantity and brand selection. This section also uses linear and logical regression using the sklearn library. Finally, the fifth section leverages deep learning power to predict future behavior using an artificial neural network and the TensorFlow 2.0 framework.
What things to learn
Professional mastery of customer analysis – for beginners to advanced users
Familiarity with key analytics used in medium and large organizations
Understanding the basics of marketing modeling theory: segmentation, targeting and…
Perform K-means clustering, PCA and their composition
Modeling purchase probability, number of purchases and brand selection by customers
Optimize neural network results
And…
This training is suitable for people who:
People looking for a job in data science or business intelligence
People interested in numbers and quantitative analysis
People who are interested in data science and want to expand their skills
People working in marketing who want to strengthen their careers by mastering data science.
Profile customer analytics in Python 2020
Publisher: Udemy
Lecturer: 365 careers, 365 team careers
Language: English
Education level: intermediate
Number of lessons: 77 lessons in 13 sections
Duration: 5h 10m
Peak seasons
requirements
- You need to install Anaconda. We’ll show you how to do this in one of the first lectures of the course
- Basic Python programming
- Willingness and enthusiasm to learn and practice
Pictures
Example film
installation Guide
After extracting with the player you will get your custom view.
Subtitles: English
Quality: 720p
Download link
Password file(s): free software
File size
1.97GB