ZeroToMastery – Python for Business Data Analytics & Intelligence 2022-4

Description

Python for Business Data Analytics & Intelligence is a business intelligence and business data analytics course published by ZeroToMastery Academy. In today’s modern world, business data analytics is one of the most important tools for business owners to optimize the process and make data-driven decisions, and for that, they use the Python programming language and a set of related technologies and tools. The modern global economy is an entirely intelligent and data-driven phenomenon, and data-driven decisions naturally play a very effective role in this environment. A business analyst is like a detective, and his clues are tools like Python, Facebook Prophet, and Google Causal Impact.

Using old data, it tries to find the secret and the connection between the data and its meaning and provide the most optimal prediction for future events. Almost every big business is looking for the elite in business data analysis because accurate and comprehensive data analysis can practically earn them huge profits.

What you will learn in Python for Business Data Analytics & Intelligence

Skills and practical knowledge required to enter the business data analytics industry
Use of Python programming language for statistical analysis, causal inference, econometrics, market segmentation, (chart) matching and predictive analysis
Work with various business analytics tools such as Google Causal Impact, Facebook Prophet and Random Forest
Data-driven decision-making process and ways to influence its end result
And …

Course specifications

Editor: ZeroToMastery
Instructors: Diogo Resende
French language
Intermediate level
Number of lessons: 243
Duration: 15 hours and 30 minutes

Course topics

Section 1 – Introduction

PART A: STATISTICS

Section 2 – Basic Statistics

Section 3 – Intermediate statistics

Section 4 – Linear Regression

Section 5 – Multilinear Regression

Section 6 – Logistic regression

PART B: ECONOMETRY AND CAUSAL INFERENCE

Section 7 – Causal impact of Google (econometrics and causal inference)

Article 8 – Pairing

PART C: SEGMENTATION

Section 9 – RFM Analysis (Recency, Frequency, Monetary)

Section 10 – Gaussian mixture

PART D: PREDICTIVE ANALYSIS

Section 11 – Random Forest

Section 12 – Facebook Prophet

Where to go from here?

Python prerequisites for enterprise data analytics and intelligence

A computer (Windows, Mac or Linux) with an internet connection

Basic knowledge of Python. Don’t know Python? No problem, you will also have access to our Python Bootcamp here where we will teach you Python from scratch

A willingness and enthusiasm to learn and act