How to use Data Science procedures and tools to improve your marketing plans
What you'll learn
How to apply Data Science methodologies at their workplace
It can be learnt easily by spending 1 hour per week
It contains case studies
A survey will be provided to what the course buyers gained and did not gain from the course
Requirements
No programming or stats required for entry
Description
In this course you will learn:1. Data science and its process.2. Integrating data science into marketing plans.3. Types of data and how are they collected in marketing.4. What tools are used by data scientists?5. Marketing- intro, traditional and digital marketing.6. Traditional marketing and digital marketing in Data Science.7. Types of data needed by marketing professionals.8. How data science is used in the marketing spectrum.9. Business Intelligence Uses in marketing (What is it? How it is helpful?).10. Business Intelligence vs Data Science.11. Business Intelligence Tools.We will further have labs on how to use PowerBI and Google Data Studio for manipulating and visualization of data and I will put all relevant links for you to download the tools directly.I do know how tough it is to get a hang of new software and tools whenever starting new projects, but it all comes down to practice and commitment, I will help you find the direction in this course on how to better improve your work process in data analysis.The rest will all be a result of your own efforts in trying to better yourself both as a learner and a professional.
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 key points covered
Section 2: What is Data Science
Lecture 3 Data Science process
Lecture 4 What is Data Science in Reality
Section 3: Analytics Process
Lecture 5 Data Analytical Processing
Lecture 6 Types of Data
Lecture 7 Correction to previous slides
Section 4: Marketing and Data Science
Lecture 8 Marketing with Data Science intro
Lecture 9 Tools Used
Lecture 10 Business Intelligence
Section 5: Lab Sessions with Excel and PowerBI
Lecture 11 Excel Pivot Analysis
Lecture 12 Excel Visualizations
Lecture 13 PowerBI Lab
Beginners in Data Science and business professionals
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