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CLOUD DATA ANALYTICS TRANSFORMATION

Learn essential data analytics strategies to drive value and business impact from your data. The topics include data visualization, storage, curation, wrangling, transformation and machine learning.

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MAKE BETTER DATA-DRIVEN BUSINESS DECISIONS

Nowadays we live in a VUCA (Volatile, Uncertain, Complex and Accelerated) world where huge amounts of data are created every second. 

Data analytics can help your business with IT modernization by leveraging your data assets: converting, rationalizing and simplifying large volumes of data, and by using the elasticity of the cloud can enhance compatibility, scale at speed, increase automation and agility, and improve data consistency. These processes help organizations build their digital data fabric, gain higher quality insights so they can make better data-driven business decisions, and foster the democratization of data analytics across the organization.

This course will teach you the foundations and applied techniques for data visualization, data science, and data engineering using modern data tools and technologies, especially cloud services. You will learn through faculty videos, practice activities, and labs. You will discover how to optimize, connect, and integrate different types of information from multiple sources while considering data governance and security -- all in order to create a more efficient organization that leverages the insights derived from the data that is the core of your business.

Courses will be eligible for the Boeing Learning Together Program (LTP). 

Watch CIO Susan Doniz discuss why cloud data analytics is so important to Boeing.

Duration

4 weeks per course

Time Commitment

5 hours per week

CEUs

2.0 CEUs per course

COURSES

  • The Cloud Data Analytics Transformation Program is comprised of six individual courses, as represented by the six cards in the carousel below.
  • You will be awarded a certificate of completion for each course that you successfully complete.
  • The three "Fundamentals" courses can be taken individually or they can be taken together as a program. If you successfully complete all three "Fundamentals" courses, you will be awarded an additional certificate for completing the Fundamentals Program.
  • There is no suggested order for taking the courses.

woman at computer screens

Fundamentals of Data Visualization

A 4 week online course where you learn the fundamentals of data visualization using tools such as Tableau, Google Data Studio, HTML/JavaScript and Python/R. Additionally we will cover topics in data management, data connectivity, storytelling and sharing insights with data.

GO TO COURSE DETAIL FOR LTP ENROLLMENT PROCESS

coworkers starting at large screen with computer monitors around

Fundamentals of Data Engineering

A 4 week online course where you learn the fundamentals of modern data platforms including data storage models, big data, databases (such as SQLite and BigQuery), querying data, transforming data, data connectivity and data pipelines.

GO TO COURSE DETAIL FOR LTP ENROLLMENT PROCESS

two people sitting at computer screens

Fundamentals of Data Science

A 4 week online course where you learn the fundamentals of Data Science solutions in the cloud. We will use the Jupyter Notebook paradigm with Google Colaboratory (Colab) to create Python and R data science solutions using data science and data management libraries to implement ML algorithms. Additionally we will cover using BigQuery to create ML models for forecasting including access to public data sets.

GO TO COURSE DETAIL FOR LTP ENROLLMENT PROCESS

woman in front of screen

Application of Data Visualization Techniques

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

GO TO COURSE DETAIL FOR LTP ENROLLMENT PROCESS

Woman walking in warehouse

Application of Data Engineering Techniques

This 4 week online course will teach you practical skills for how to prepare your data for use in real-world analytics scenarios by using techniques such as advanced data modeling, ETL/ELT, SQL and data pipelines in GCP. Additionally, we will cover how to use cloud data in Python/R solutions.

GO TO COURSE DETAIL FOR LTP ENROLLMENT PROCESS

mancloud

Application of Data Science Techniques

This 4 week online course will teach you how to analyze data in real-world scenarios using machine learning techniques such as ReInforcement Learning, Computer Vision, Neural Networks; Clustering techniques, Bayes Classifiers. We will also discuss techniques for automating machine learning workflows.

GO TO COURSE DETAIL FOR LTP ENROLLMENT PROCESS

Learning Outcomes

Get experience using the Google Cloud Platform (GCP) and the several of the tools in the suite of services that are used for data analytics

Understand the fundamentals and application of data visualization for driving analysis and decision making

Use several techniques to access, load, merge and visualize data, including large, complex datasets

Gain familiarity with popular visualization tools: Tableau, Google Data Studio, Python and R (and data visualization libraries)

Identify different ways of connecting to data based on the tools and environments you use at your organization

Build Data Pipelines that ingest data from a publicly available dataset into BigQuery, using Google Cloud services

Structure and query data in BigQuery, SQLite and perform ELT/ETL with BigQuery, DataFlow, and Tableau

Understand different data storage and management tools available in GCP and how to work with data in the cloud (GCP)

Create a forecasting model in Big Query with GCP Console

Use R, and Python to create data science Notebooks and perform data processing, data visualization and machine learning using a variety of libraries such as Pandas(Python), Matplotlib, ScyPy(Python), NumPy(Python), caret(R), dyplr(R) and in Google Colab

Define the Data Science lifecycle roles and responsibilities

Learn practical approaches to working with data and data analytics supported by practice exercises and hands-on labs

THIS PROGRAM IS FOR...

  • Data Analysts
  • Data Engineers
  • Data Scientists
  • Data Architects
  • Business Analysts
  • BI Developers
  • IT Professionals
  • Anyone who works with data and is interested is performing basic analysis on data sets in a low-code/no-code way 

The MIT xPRO Learning Experience

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

LEARN BY DOING

Practice and apply knowledge through labs and practice activities.

LEARN FROM OTHERS

Connect with an international community of Boeing professionals in discussions.

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 prompts for reflection.

DEMONSTRATE YOUR SUCCESS

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

LEARN FROM THE BEST

Gain insights from leading MIT faculty and industry experts.

MIT FACULTY & INSTRUCTORS

Cloud_Sanchez

Abel Sánchez

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

John Williams

John Williams

Professor of Information Engineering and Civil and Environmental Engineering, MIT

INTERESTED IN OTHER ONLINE PROGRAMS?

MIT xPRO and Boeing have collaborated on the development of several online programs. Please visit this link to see the entire suite of programs offered.

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Technology is accelerating at an unprecedented pace causing disruption across all levels of business. Tomorrow’s leaders must demonstrate technical expertise as well as leadership acumen in order to maintain a technical edge over the competition while driving innovation in an ever-changing environment.

MIT uniquely understands this challenge and how to solve it with decades of experience developing technical professionals. MIT xPRO’s online learning programs leverage vetted content from world-renowned experts to make learning accessible anytime, anywhere. Designed using cutting-edge research in the neuroscience of learning, MIT xPRO programs are application focused, helping professionals build their skills on the job.

Embrace change. Enhance your skill set. Keep learning. MIT xPRO is with you each step of the way.

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