Digital Marketing Analytics : The Beginners Guide

Name: Digital Marketing Analytics : The Beginners Guide
Rating: 4.2 (60 reviews)

Learn the fundamentals of marketing analytics from ground up

Created byEduonix Learning Solutions

Last updated 2/2021

English

English [Auto],

What you'll learn

Learn the fundamentals of marketing analytics
Learn how to leverage analytics for business growth

Course content

6 sections • 22 lectures • 1h 50m total length

Introduction2:33
Explore the fundamentals of digital marketing analytics, the four leading types, popular tools, and data visualization to deliver results in this beginner course.
Definition of Analytics2:25
Analytics defines the systematic computation and analysis of data and statistics to discover, interpret, and communicate meaning and patterns, guiding decision making with relevant facts.
Why Analytics is so important?3:52
Learn why analytics matter across industries, how data becomes value through data analytics, and how easy-to-use tools dispel myths while privacy data suppression shapes digital strategies.
Analysis VS Analytics2:06
Explore the difference between analysis and analytics, showing how analysis examines the past to understand data, while analytics models the future to predict outcomes.
Application of Analytics in various industries10:32
Explore how analytics drive security, transportation, risk reduction, delivery, internet allocation, expenditure, customer interaction, health care, travel, and digital marketing to boost efficiency and decision-making.

Types of Analytics1:04
Discover the top five analytics types—descriptive, predictive, diagnostic, prescriptive, and cognitive—for a practical foundation in digital marketing analytics.
Descriptive Analytics2:06
Explore descriptive analytics, a simple approach that turns big data into smaller units to drive insights from social channels, media tools, and websites.
Diagnostic Analytics1:28
Diagnostic analytics identifies why something is happening by revealing root causes and contributing factors through drilling down in data with business intelligence dashboards.
Predictive Analytics1:58
Discover how predictive analytics forecasts future market trends and customer behaviors by leveraging descriptive and diagnostic analytics, historical data, and machine learning models to optimize campaigns and outcomes.

Data Analytics Lifecycle2:32
Explore the data analytics lifecycle from understanding the data to cleaning and transformation. See how data enhancement, analytics tools, and data visualization drive metrics, reporting, and outcomes.
Understanding the data1:50
Understand the data before data preparation by cleaning and transforming raw data, then reformat, connect, and combine datasets to enrich data and eliminate bias from poor data quality.
Data Preparation5:40
Master the data preparation stages: gather data, discover datasets, cleansing and validating, transform and enrich, then store data. Enable clearer analytics and insights for digital marketing.
Benefits of Data Preparation4:36
Unlock better business decisions by cleaning data, fixing errors early, and producing top-quality data for analysis. Embrace cloud data preparation for scalability, collaboration, and future-proof, accelerated analytics.

Terminologies in Analytics13:25
Explore core analytics terminologies—from business analytics and predictive modeling to big data analytics and data mining—with real-world Netflix examples of data-driven recommendations.
Tools for Data Analytics1:40
Explore the top eight data analytics tools, including python, tableau, rapid miner, Power BI, Apache Spark, Click View, Talent, and Splunk, to simplify data analysis.

Data Visualization2:32
Visualize data through charts, graphs, and maps to reveal trends and patterns, enabling stakeholders to understand analytics from large structured and unstructured data.
History of Data Visualization2:02
Explore the long history of data visualization, from ancient maps and thematic cartography around 160 b.c. to early hieroglyph diagrams that conveyed regional data and resources.
Top 10 Data Visualization Tools - Part 11:38
Explore the top 10 data visualization tools of 2020, highlighting Tablo, Looker, analytics, assistants, IBM Cognos Analytics, click since, Domo, and Microsoft Power Basis.
Top 10 Data Visualization Tools - Part 210:13
Explore the top 10 data visualization tools popular in 2020 and beyond, including Tableau, Looker, Zoho Analytics, SiSense, IBM Cognos Analytics, Qlik, Domo, and Microsoft Power BI.

How Analytics play a vital role in Netflix11:52
Netflix uses data analytics as a case study to drive personalized algorithmic recommendations, understand watch history, device, searches, and ratings, and improve retention with subscriber profiles.
Gartners Top Trends in Data and Analytics in 2020 and beyond11:27
Explore Gartner's top data and analytics trends for 2020 and beyond, including smarter analytics, decision intelligence, X analytics, augmented data management, cloud, and data marketplaces.
Conclusion for Fundamentals of Analytics13:23
Explore why data analytics offers high salaries and fast growth, with roles from data analyst to data scientist and data engineer, and learn Python, SQL, and data visualization from home.

Requirements

Basic knowledge of digital marketing is sufficient for completing the course

Description

Master data analytics to boost your digital marketing efforts!

The demand for understanding the customer is increasing & so is the demand for real-time analytics with high precision. Gone are the days when businesses used to predict customer behavior for high returns. Over the years, the business world has evolved significantly & this evolution has given rise to the usage of data analytics for boosting customer experience, conversion, ROIs & other key elements.

Considering this, here’s an exclusive course dedicated entirely to analytics for digital marketing. This course will train you with all the fundamentals of analytics along with its implementation in real-time.

The Importance Of Data Analytics?

Provides access to important data about your customer or brand.
Helps in understanding your customer.
Boosts conversion rate & ROIs.
Useful for effective segmentation.
Important for predictive analytics for data-driven decisions.

How This Course Can Be Useful For You?

This online tutorial on digital marketing analytics will unfold with the basic introduction & gives you detailed insights about the right tools, strategies & other key points as it will progress. With this course, you will understand data analytics, its types, data analytics life cycle, and data preparation.

The prime focus of this online tutorial will be to train you for data analytics by providing in-depth knowledge of all the ins & outs of this concept. You will learn analytics tools, terminologies, data visualization & so much more. In the end, it also covers a case study & a project wherein, you will be creating an analytics report all by yourself!

Key Concepts That You Will Learn

Basics of analytics
Descriptive Analytics, Diagnostic Analytics, Predictive Analytics
Data analytics life cycle & data preparation
Data visualization
Data analytics & data visualization tools
Case study on Netflix
Project on creating Google analytics reports

Start off today to get a holistic understanding of data analytics for digital marketing!

Who this course is for:

Anyone who wants to learn marketing analytics will find this course very useful

Digital Marketing Analytics : The Beginners Guide

What you'll learn

Explore related topics

Course content

What is Analytics?5 lectures • 21min

Types of Analytics4 lectures • 7min

What is Data Analytics Lifecycle?4 lectures • 15min

Data Analytics2 lectures • 15min

Data Visualization4 lectures • 16min

Case Study3 lectures • 37min

Requirements

Description

Who this course is for: