Advanced Tools for Digital Marketing Analytics : A Free Course For Beginners
Introduction
Advanced Tools for Digital Marketing Analytics is a beginner-friendly course for marketers who want to develop new skills and understand how to use the latest digital marketing tools to get the best results. This course is an excellent way of gaining insight into the world of digital marketing, its tools, and its fundamentals.
The course starts by introducing the basics of digital marketing analytics, the tools, applications, and the way these analytics tools can be used. Moreover, the course digs deeper into different digital marketing platforms, the impact of each platform, and the content type that helps with marketing. There is also a section dedicated to marketing automation and the way most brands are strategizing to scale their companies with the right marketing plan.
What Will You Gain From This Course?
Following the completion of this course, the student will be able to:
- Understand marketing automation and software applications used for the automation process.
- Use the right marketing campaign to scale their business.
- Plan and execute marketing campaigns that can contribute to the growth of the business and company.
- Highlight the possible applications of predictive analytics in the digital marketing field.
- Target the business audience with precision through data summarization, experimentation, and analysis.
- Explain the use of AI and machine learning for running successful digital marketing campaigns.
- Identify future marketing trends and utilize this insight for better marketing campaigns.
- Explain the future of video and mobile marketing.
- Utilize video and mobile marketing for the business as per requirement.
- Use AI and machine learning to create a compelling marketing campaign.
- Explain the use of NLP and its roles in digital marketing.
- Know about the impact of AI and machine learning on digital media platforms.
- Ethically design impactful marketing campaigns as per client requirements.
- Learn about the ethical use of digital spaces in the future.
Skills Acquired:
- Predictive Analytics
- Mobile Marketing
- Marketing Automation
- Machine Learning
- Scaling Strategies
- Predictive Algorithms
- Digital Marketing Analytics
Who Can Benefit From This Course?
This course is designed for:
- Marketing aspirants looking to expand their skillset and excel in their marketing career.
- Digital marketing experts trying to gain a better understanding of data analytics skills.
- Marketing experts trying to navigate data insights and numbers extracted from cutting-edge marketing tools.
- Data analysts who want to specialize in digital marketing analytics.
- Data experts try to understand analytics from tools and apply their data-based skills in real-life marketing.
- Business experts trying to use advanced tools to cater to real-life marketing challenges.
Course Content
4 Modules – 36 Video – 28 Readings – 27 Assignments – 1 Discussion Prompt – Certificate Of Completion
Marketing Automation and Scaling Strategies
The first module of the course starts with a basic overview of what the students will learn, along with the automation tools they will use. The module starts by exploring important ways automation is impacting the digital marketing world. The participants will get to learn about marketing automation, different automation tools, and the role of automation in the marketing process. The module includes both demo-based video and theory-based lectures. Some of the important topics included in this module include advanced tools for digital marketing analytics, marketing automation, scaling strategies, benefits of marketing automation, popular marketing automation tools, scaling campaign efforts, case studies, etc.
- 9 Videos
- 7 Readings
- 7 Assignments
Predictive Analytics and Algorithm
This is the course's second module, and it will take around three hours to complete. This module focuses on some of the most important algorithms that every marketer must know about. It also sheds some light on predictive analytics and their role in the success of a marketing campaign.
This module starts with a basic introduction to predictive analytics and algorithms. Beyond the basics, it also includes details about algorithms, their applications, and how they impact real-life business. The learner will also understand the basics of different digital platforms and the algorithms used.
Some of the most important topics explored in this module include applications of predictive analytics in digital marketing, the use of predictive analytics to enhance strategies, ways to develop a predictive model, regression analysis, predictive analytics techniques, and translating predictive data.
- 6 Videos
- 6 Readings
- 5 Assignments
- 1 Discussion Prompt
Video & Mobile Marketing Trends
This is the third module of this course, and it is nearly five hours long. It looks at the new marketing trends that successful brands are using right now. Since mobile and video marketing are the future, this module sheds light on their use and importance. The students will explore some exciting trends within video and mobile marketing. Moreover, they will get to experience different ways these trends can be used and have proven to be fruitful.
Some of the important topics explored in this module include video content, types of video content, the role of mobile marketing, top trends in mobile marketing, user experience in mobile marketing, ways to optimize video content, strategies for mobile app marketing, and their role in the digital marketing landscape.
- 8 Videos
- 5 Readings
- 7 Assignments
Artificial Intelligence (AI), Natural Language Processing (NLP) & Ethics
The last module of this course is all about AI, NLP, and the ethics in AI. This module will require another five hours to complete. The module starts by explaining AI's powerful intersection and then focuses on machine learning and digital marketing.
The students will also learn about some ethical considerations that may arise while using and implementing AI in marketing. Moreover, they will get a detailed understanding of the potential impacts of these ethical concerns in future advancements. The participants will get to focus on career and job search tasks that every marketing analyst role requires. Some of the important topics explored in this module include artificial intelligence (AI), natural language processing (NLP), machine learning, advantages of AI and machine learning, current use of AI and machine learning in marketing, future applications, the role of NLP, ethical considerations of AI in digital marketing.
- 13 Videos
- 10 Readings
- 8 Assignments
Description
The Advanced Tools for Digital Marketing Analytics course starts with a basic understanding of digital marketing and the modern ways to boost the business. There is a section dedicated to marketing automation that can be very helpful for small business owners trying to scale their businesses without spending too much money. The students will also learn about the use of algorithms and the role of predictive algorithms in determining the success of a marketing campaign. This is especially important because most digital platforms release new trends every now and then, so leveraging these trends can help in improving ROI.
It will also address topics such as video marketing, module marketing artificial intelligence (AI), natural language processing (NLP), and ethical considerations of cutting-edge technologies. These topics are especially important for young business owners and marketers who are still getting familiar with AI and its use in marketing.
In the coming years, authorities will crack down on the non-ethical use of technologies, so these details will help prepare marketers for future challenges. The data will also help marketers predict upcoming trends and differentiate between long-lasting trends and short-term trends.
Meet the Instructor
Unilever Team
This course is a joint venture of Google Courses and Unilever. Some of the leading marketers currently working at Unilever have designed this course. Unilever is a trustable brand offering more than 400 brand names and distributing across 190 countries.