Business Intelligence Development using Python 3

Understand a Data Pipeline, Marketing Analytics, Data Automation and the basics of Data Engineering.

Learn how to use Python Libraries to create your data automation process.

How to make powerful analysis.

Create strong added value to your business. This will help you for your next job interview or your Performance Review and salary negotiations.

Requirements

  • A minimum of understanding of any computer language.

Description

Interested in automating your marketing pipeline or your business intelligence? Then this is your course! Learn how to relieve yourself of repetitive work by programming it. All this in less than 2 hours!

There are many Business Intelligence, Python beginners or Data Analytics courses out there. I combine these subjects to create a course that connects and automates your Data tracking tools to your Business Intelligence tool.

We will Extract real-life data from Google Analytics and Facebook with Python and Transform these data points into a useful format and then Load them to Google Sheets => ETL (Extract, Transform, Load)

Python is the best language to automate these processes and will be used in this course. This course is truly step-by-step as we made the course so you can code along with us. We extract data from 4 different sources and then use those data points to be able to decide on our future business strategy. And all is done through live examples. I am using my previous teaching experience as a lecturer to create this easy to understand course.

As a bonus, this course includes all the Python code templates we created for you to download and use on your own projects.

I and my team are constantly available to support you in your learning and to answer questions.

I’ll see you on the inside!

Yours sincerely,

Christoph Odermatt

What are the requirements?

  • A minimum understanding of any computer language and some marketing experience.
  • Any computer running Mac, Windows, or Linux, all is shown on a Mac.
  • All the tools used in the course are free, except for your Marketing you are using.
  • Preferably you already have data from your Marketing on Facebook or Google AdWords.
  • And passion to learn.

What am I going to get from this course?

  • Understand a Data Pipeline, Marketing Analytics, Data Automation and the basics of Data Engineering.
  • Learn how to use Python Libraries to create your data automation process.
  • How to make powerful analysis.
  • Create strong added value to your business. This will help you for your next job interview or your Performance Review and salary negotiations.

Who this course is for:

  • Anyone interested in Data automation.
  • Anyone who is not that comfortable with coding but who is interested in programming with Python. The course has been created with the beginner in mind.
  • Intermediate programmers can learn the Business Intelligence side of the course.
  • Any students in college who want to start a career in Data Intelligence.
  • Any people who want to create added value to their business by automating work.

Course content

Introduction to Data Science using Python (Module 1/3)

Understand the basics of Data Science and Analytics

Understand how to use Python and Scikit learn

Get a good understanding of all buzz words like “Data Science”, “Machine learning”, “Data Scientist” etc.

Requirements

  • This course does not have any pre-requisities. All you need is a Windows or a MAC machine.

Description

Are you completely new to Data science?

Have you been hearing these buzz words like Machine learning, Data Science, Data Scientist, Text analytics, Statistics and don’t know what this is?

Do you want to start or switch career to Data Science and analytics?

If yes, then I have a new course for you. In this course, I cover the absolute basics of Data Science and Machine learning. This course will not cover in-depth algorithms. I have split this course into 3 Modules. This module, takes a 500,000ft. view of what Data science is and how is it used. We will go through commonly used terms and write some code in Python. I spend some time walking you through different career areas in the Business Intelligence Stack, where does Data Science fit in, What is Data Science and what are the tools you will need to get started. I will be using Python and Scikit-Learn Package in this course. I am not assuming any prior knowledge in this area. I have given some reading materials, which will help you solidify the concepts that are discussed in this lectures.

This course will the first data science course in a series of courses. Consider this course as a 101 level course, where I don’t go too much deep into any particular statistical area, but rather just cover enough to raise your curiosity in the field of Data Science and Analytics.

The other modules will cover more complex concepts. 

Who this course is for:

  • Anyone who wants to learn about Data Science from absolute scratch.
  • Anyone who wants to switch or make a career in Data Science and Analytics
  • Anyone who is curious to know what is Data Science and what does a Data Scientist do in his/her day job.

Course content