Data Visualization in Tableau
Learn the fundamentals of data visualization and practice communicating with …
What you'll learn
Data visualization skills are tremendously important in today’s data driven economy. Collecting and analysing data is just one step; to communicate your results to clients or your managers, you need to present the data in a coherent and intuitive way. Charts or graphs allow the human brain to visualize and understand large amounts of complex data.
This course will teach you to use data visualization to explore and understand data, and then communicate insights in a powerful and meaningful ways.
This course uses Tableau to create data visualizations. A 6-month educational license for Tableau is included free for Nanodegree students only.
Bootcamp Digital Marketing Specialization
3 months program Learn to create marketing content, use social …
What you'll learn
Graduates will be uniquely prepared to fill a wide array of digital marketing roles. These include: social media analyst, social media manager, social media community manager, social media coordinator, social media marketer, social media strategist, SEO manager, SEO analyst, SEO partnership specialist, SEO strategist, digital marketing manager, internet marketing manager, website
optimization manager, SEM analyst, SEM manager, SEM marketing coordinator, search analyst, paid search marketing manager, digital marketing manager, head of growth and acquisition and email marketing manager.
Bootcamp Machine Learning Engineering AWS Specialization
3 months program Strengthen your Machine Learning skills and develop …
What you'll learn
Test Python code and build a Python package of their own.
Build predictive models using a variety of unsupervised and supervised machine learning techniques.
Use Amazon SageMaker to deploy machine learning models to production environments, such as a
web application or piece of hardware..
A/B test two different deployed models and evaluate their performance.
Utilize an API to deploy a model to a website such that it responds to user input, dynamically.
Update a deployed model, in response to changes in the underlying data source.