SEE ENROLLMENT INFO BELOW

SEE ENROLLMENT INFO BELOW

Application of Data Visualization Techniques

This 4 week online course will teach you how to apply more advanced data visualization techniques using Looker Studio and Tableau, along with working with large and complex data sets and performing exploratory data analysis and data storytelling methods.

Date

June 10 – July 8, 2024

Duration

4 weeks, 5 hours per week

PRICE

US rate $1,088; Int'l rate $1,000

 

 
FUTURE DATES

Sept 16 - Oct 14, 2024

Description Goes Here
CEUs

2.0 CEUs

Description Goes Here
Course Number

ADVTxB

TOPICS COVERED

  • Visualizing datasets
  • Creating dashboards and storyboards
  • Data visualization with Python/R, Cloud, and Colab
  • Visualizing time series data
  • Visualizing geospatial data
  • Extending Tableau with Python
  • Exploring libraries for visualizing data with Python/R and HTML/D3
  • Working with streaming data
  • Creating a story with data

WHY THIS TRAINING IS RELEVANT

Discover how data visualization skills can unlock the potential of generative AI:

  • Understanding Training Data: Identify biases and anomalies in data, and ensure that the data accurately represents real-world problems for generative AI.
  • Performance Evaluation: Visualize generative AI outputs to detect errors or artifacts, and enhance the training process and make adjustments to the model architecture as needed.
  • Communication of Results: Craft informative and visually compelling visualizations, and assist others in comprehending the insights derived from generative AI models.
  • Debugging: Visualize outputs at various training stages, and identify and rectify errors in both the training data and model architecture.
  • Interpretation of Predictions: Utilize visualizations to discern key features influencing predictions.
  • Model Development: Employ data visualization to investigate relationships between different features, and streamline the development of new generative AI models.

TARGET AUDIENCE

  • Data Engineers
  • Data Scientists
  • Business Analysts and staff
  • BI Developers
  • Line of business staff
  • IT staff & anyone who works with data and is interested is performing basic analysis on data sets in a low-code/no-code way

PREREQUISITES

  • Knowledge of how to access, load, and visualize data, including large, multiple, datasets, using a number of techniques, involving data enrichment, joins/merge and filtering
  • Understand which types of charts to use for data analysis and story telling based on the expected outcome and audience
  • Knowledge and experience with several popular tools for data visualization
  • An understanding of data visualization techniques, approaches and storytelling
  • A basic understanding of databases and how to query them for data visualization

LEARNING OUTCOMES

Understand how to create dashboards, practice data-storytelling, and make data-driven decisions using various data visualization tools and techniques.

Apply exploratory data analysis visual techniques and work with streaming data for real-time insights

Apply advanced visualization skills with three major data visualization environments: Tableau, Google Cloud (Looker Studio, BigQuery, Sheets), and Python/R including data and visualization libraries by completing hands-on exercises and projects.

OTHER CLOUD DATA ANALYTICS TRANSFORMATION COURSES

Upon successful completion of all "Fundamentals of Data" courses, you will be rewarded with a program certificate on Cloud Data Analytics Transformation, in addition to each individual course certificate.

Application of Data Engineering

DECA

Application of Data Science

DSCA

Fundamentals of Data Visualization

Woman working on a dashboard

Fundamentals of Data Engineering

DECB

Fundamentals of Data Science

Two man working on data visualization dashboards

MIT INSTRUCTORS

Cloud_John_Williams

John Williams

Professor of Information Engineering and Civil and Environmental Engineering at MIT

Cloud_Sanchez

Abel Sanchez

Executive Director, Research Scientist, Laboratory for Manufacturing and Productivity, MIT

The MIT xPRO Learning Experience

We bring together an innovative pedagogy paired with world class faculty.

Learn by doing

Practice process and methods through labs, simulations, assessments, case studies, and tools. 

Learn from others

Connect with an international community of professionals while working on projects based on real-world examples.

Learn on demand

Access all of the content online and watch videos on the go.

Reflect and Apply

Bring your new skills to your organization, through examples from technical work environments and ample prompts for reflection.

 

Demonstrate your success

Earn a Professional Certificate from MIT xPRO and Continuing Education Units (CEUs).

Learn from the best

Gain insights from MIT faculty and industry experts and connect with your course team and faculty over discussion forums and live virtual office hours.

 

HOW TO ENROLL

Boeing employees: All courses on this page are eligible for the Learning Together Program (LTP). Please check your eligibility to participate and then follow these instructions to enroll. Note: All vouchers must be submitted 5 business days prior to the course start date.

  1. Review LTP policy and process details on Worklife > Browse Menu > Career > Learning Together Program.
  2. Identify the MIT xPRO course(s) you would like to enroll in.
  3. Courses may be added to the LTP system within 60 days of the course start date (U.S.), or up to one year in advance (ILHE – International Locally Hired Employee).
  4. Drop Policy: Course refunds are given (no questions asked) through the first Monday of each course. You must cancel your course in the LTP system as well as with MIT xPRO. Follow instructions on Worklife to cancel in LTP system. To drop with MIT, please email support@xpro.mit.edu.
  5. Go to My LTP from LTP Worklife portal. Select Massachusetts Institute of Technology as the school for enrollment. Complete all required fields on the LTP online enrollment.
  6. U.S. employees will populate a tuition Voucher for billing purposes for each course by way of the LTP enrollment.
  7. Employees outside the U.S. will populate a Sponsorship Letter for billing purposes. Please note:
    • International Locally Hired Employees (ILHEs) must personally pay upfront (corp card is not permitted) and request reimbursement from LTP.
    • Effective October 1, 2023, ILHEs from India will be asked to add 18% to the tuition price representing the tax levy that India is imposing on all online educational programs from US universities.
  8. Create an account at xpro.mit.edu or login with an existing account. Use one of the supported browsers: Chrome, Safari or Firefox. 
  9. U.S. employees must upload the Boeing LTP Voucher to xpro.mit.edu/boeing/upload to authorize payment to be made to school. After you successfully upload your Voucher, you will be asked to confirm your course selection.
  10. ILHE participants must complete this form and upload along with your Sponsorship Letter. Note: ILHE participants will need to upload the school's document of tuition cost for each course and the local payment center will process reimbursement.
  11. You will need to submit your certificate of completion to the LTP system to confirm grade requirements are met and to close out each course.

Important Note:

  • If errors are found on the Vouchers -- for example, the course start date is incorrect -- MIT xPRO will identify the error and request that you resubmit the Voucher with the correct information.  

If you have any questions about the enrollment process or if your Voucher is not accepted, please visit the MIT xPRO Support Center. For LTP-related questions, call or submit an electronic ticket via Worklife > Get Support.