Udemy – Customer Analytics in Python 2020 2020-3

Description

Customer Analytics in Python 2020 is a comprehensive client analysis training course in Python using PCA, key-mean clustering, elastic modeling, and deep neural networks. In today's fast-paced economy, data science and marketing are the two key forces for companies that want to stay at the top, and customer analysis is exactly where these two forces come together. This course is accompanied by a vast knowledge of data science and exciting methods that companies use and teaches the implementation of all of them in Python. Mastering this knowledge and skills, given the high-paying job opportunities that exist in the field of data science, as well as the transformation of the marketing department of many companies in order to use this science, can be very profitable.

Due to the breadth of content in this course, its topics are divided into five sections. The first part is familiarity with related concepts and theories, and then in the second part, cluster analysis and dimensionality in order to segment customers using K-means algorithms and principal component analysis (PCA) are taught and packages Popular ones like NumPy and scikit-learn are used. The third part focuses on the application of descriptive statistics as an exploratory part of analysis and to interpret customer behavior, and in the fourth part, elastic modeling for the probability and quantity of purchases and brand selection is done using linear and logical regression using sklearn library. Finally, in the fifth section, the power of deep learning is used to predict future behavior using the artificial neural network and the TensorFlow 2.0 framework.

What do you learn?

Professional mastery of customer analysis - basic to advanced

Familiarity with the most important analyzes used in medium and large companies

Understanding the basics of marketing modeling theory: segmentation, targeting and

Perform cli-mean clustering, PCA and their combination

Modeling the probability of purchase, number of purchases and brand selection by customers

Optimization of neural network results

And

This training is suitable for people who

People looking for employment in data science or business intelligence

People who are interested in quantitative numbers and analysis

People working in the field of data science and want to develop their skills

People who work in the field of marketing and want to strengthen their profession by mastering data science

Specifications of Customer Analytics in Python 2020

Publisher: Udemy

Instructor: 365 Careers and 365 Careers Team

English language

Level of education: Intermediate

Number of lessons: 77 lessons in 13 sections

Duration: 5h 10m

Prerequisites

Youll 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

Installation

After Extract, watch with your favorite Player.

English subtitle

Quality: 720p