Learning Resources
Google Analytics for Beginners shows new users how to create an account, implement tracking code, and set up data filters. You'll learn how to navigate the Google Analytics interface and reports, and set up dashboards and shortcuts. The course will also demonstrate how to analyze basic Audience, Acquisition, and Behavior reports, and set up goals and campaign tracking.
https://analytics.google.com/analytics/academy/course/6?hl=en
Advanced Google Analytics walks you through how data gets collected and processed into readable reports. You'll learn how to use configurations like Custom Dimensions, Custom Metrics, and Event Tracking to collect data that's specific to your business. The course will also demonstrate more advanced analysis techniques using segmentation, channel reports, audience reports, and custom reports, as well as marketing strategies like remarketing and Dynamic Remarketing that show ads to customers who have visited your website.
https://analytics.google.com/analytics/academy/course/7?hl=en
The Introduction to Data Studio online course teaches marketers, business owners, agencies, and data analysts how to visualize data online to gain insights. You’ll learn how to connect your data, create impactful reports, and collaborate with teammates. You’ll gain the knowledge and tools you need to design compelling reports to share with different stakeholders.
YouTube Analytics is your channel's pulse. Learn how to uncover trends to see what’s working and what's not. Find out who’s watching, what they like to watch, and which videos could make you the most money.
To complete this course: First, sign in, then finish the lessons at your own pace and pass the course exam with 75% to get your letter of completion.
https://creatoracademy.youtube.com/page/course/analytics-series
This learning path is focused on learning the basics of campaign reporting and analytics on Facebook. This includes reporting against business objectives, examples of successful measurement, and how to tie campaign insights to reporting.
https://www.facebook.com/business/learn/paths/reporting-and-analytics
Advance your programming skills and refine your ability to work with messy, complex datasets. You’ll learn to manipulate and prepare data for analysis, and create visualizations for data exploration. Finally, you’ll learn to use your data skills to tell a story with data.
https://www.udacity.com/course/data-analyst-nanodegree--nd002
This course introduces an overview of financial analytics. You will learn why, when, and how to apply financial analytics in real-world situations. You will explore techniques to analyze time series data and how to evaluate the risk-reward trade off expounded in modern portfolio theory. While most of the focus will be on the prices, returns, and risk of corporate stocks, the analytical techniques can be leverages in other domains. Finally, a short introduction to algorithmic trading concludes the course.
After completing this course, you should be able to understand time series data, create forecasts, and determine the efficacy of the estimates. Also, you will be able to create a portfolio of assets using actual stock price data while optimizing risk and reward. Understanding financial data is an important skill as an analyst, manager, or consultant.
https://www.coursera.org/learn/applying-data-analytics-business-in-finance
Learner Outcomes: After taking this course, you will be able to:
- Utilize various Application Programming Interface (API) services to collect data from different social media sources such as YouTube, Twitter, and Flickr.
- Process the collected data - primarily structured - using methods involving correlation, regression, and classification to derive insights about the sources and people who generated that data.
- Analyze unstructured data - primarily textual comments - for sentiments expressed in them.
- Use different tools for collecting, analyzing, and exploring social media data for research and development purposes.
This course will expose you to the data analytics practices executed in the business world. We will explore such key areas as the analytical process, how data is created, stored, accessed, and how the organization works with data and creates the environment in which analytics can flourish.
What you learn in this course will give you a strong foundation in all the areas that support analytics and will help you to better position yourself for success within your organization. You’ll develop skills and a perspective that will make you more productive faster and allow you to become a valuable asset to your organization.
This course also provides a basis for going deeper into advanced investigative and computational methods, which you have an opportunity to explore in future courses of the Data Analytics for Business specialization.
‘Megatrends’ heavily influence today’s organisations, industries and societies, and your ability to generate insights in this area is crucial to your organisation’s success into the future. This course will introduce you to analytical tools and skills you can use to understand, analyse and evaluate the challenges and opportunities ‘megatrends’ will inevitably bring to your organisation. Via structured learning activities you will explore how these trends can be addressed through sustainability-oriented innovation. You will be introduced to key data analytics concepts such as systems thinking, multi-level perspectives and multidisciplinary methods for envisioning futures, and apply them to specific real-world challenges you and your organisation may face. And there’ll be a focus on future-proofing skills such as teamwork, collaboration with diverse stakeholders and accounting for judgements made within ethical decision-making frameworks.
https://www.coursera.org/learn/business-intelligence-data-analytics
In this course you will learn data analytics techniques that are typically useful within Lean Six Sigma improvement projects. At the end of this course you are able to analyse and interpret data gathered within such a project. You will be able to use Minitab to analyse the data. You will also know what Lean Six Sigma is.
https://www.coursera.org/learn/data-analytics-for-lean-six-sigma
Learn key technologies and techniques, including R and Apache Spark, to analyse large-scale data sets to uncover valuable business information.
Learn best practices in data analytics, informatics, and visualization to gain literacy in data-driven, strategic imperatives that affect all facets of health care.
https://www.edx.org/course/data-analytics-and-visualization-in-health-care
This course prepares students to understand business analytics and become leaders in these areas in business organizations. This course teaches the scientific process of transforming data into insights for making better business decisions. It covers the methodologies, issues, and challenges related to analyzing business data. It will illustrate the processes of analytics by allowing students to apply business analytics algorithms and methodologies to business problems. The use of examples places business analytics techniques in context and teaches students how to avoid the common pitfalls, emphasizing the importance of applying proper business analytics techniques.
Gain valuable insights from your IoT data to help your business succeed. This course is completely lab-based. There are no lectures or required reading sections. All of the learning content that you will need is embedded directly into the labs, right where and when you need it. Introductions to tools and technologies, references to additional content, video demonstrations, and code explanations are all built into the labs.