Data Management Online Courses for Cal Tech Students

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Most often, organizations acquire information systems as part of a larger focus on process improvement and efficiency. These organizations need to invest in the right system to meet their needs: right functionality, right size, and for the right price. The business systems analyst role in most...
This course unravels the post-production world for editors. Students will dive into the key features of Apple\'s Final Cut Pro software for Video and Audio Editing and learn elements for creating professional videos with the use of transitions and effects, titles and motion graphics, color...
This course will get you up and running with MongoDB quickly, and teach you how to leverage its power for data analytics. We\'ll start by mastering the fundamentals of MongoDB, including MongoDB\'s Document data model, importing data into a cluster, working with our CRUD API and Aggregation...
This course provides an introduction to basic data science techniques using Python. Students are introduced to core concepts like Data Frames and joining data, and learn how to use data analysis libraries like pandas, numpy, and matplotlib. This course provides an overview of loading, inspecting,...
In this course we will learn about Digital twins fundamentals, how they represent a concept of integration for product related data. The concept of Digital twins is a response to the increasing digitization of product development, production and products themselves. Today, products are complex...
This course is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this course will introduce you to problem definition and data preparation in a...
This four week course focuses on migrating workloads to AWS. We will focus on analyzing your current environment, planning your migration, AWS services that are commonly used during your migration, and the actual migration steps. Hands-on labs are available, though not required for this class...
Learning coding is not only about understanding the programming language being used, but also developing important computational thinking skills, which are useful for problem solving across many disciplinary areas. In this course, students will learn basic programming skills by creating...
This specialization is intended for people without programming experience who seek to develop python programming skills and learn about the underlying computer science concepts that will allow them to pick up other programming languages quickly. In these four courses, you will cover everything...
In this course you will learn how to use D3. js to create powerful visualizations for web. Learning D3. js will enable you to create many different types of visualization and to visualize many different data types. It will give you the freedom to create something as simple as a bar chart as well...
The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud Platform in technical detail. Also, this course describes the role of a data...
This course introduces you to container technologies and how they can be used to modernize your applications, as well as exploring how different AWS services can be used to manage and orchestrate those containers. Container technologies have existed for years, and are still gaining popularity...
Data privacy controls how information is collected, used, shared, and disposed of, in accordance with policies or external laws and regulations. In this course, students will gain an understanding of what data privacy is along with how to identify and understand typical data protection and...
This mini-course is intended to apply foundational Python skills by implementing different techniques to collect and work with data. Assume the role of a Data Engineer and extract data from multiple file formats, transform it into specific datatypes, and then load it into a single source for...
The field of analytics is typically built on four pillars: Descriptive Analytics, Predictive Analytics, Causal Analytics, and Prescriptive Analytics. Descriptive analytics (e.g, visualization, BI) deal with the exploration of data for patterns, predictive analytics (e.g, data mining, time-series...
Much of the world\'s data resides in databases. SQL (or Structured Query Language) is a powerful language which is used for communicating with and extracting data from databases. A working knowledge of databases and SQL is a must if you want to become a data scientist. The purpose of this course...
The third course in this specialization is Achieving Advanced Insights with BigQuery. Here we will build on your growing knowledge of SQL as we dive into advanced functions and how to break apart a complex query into manageable steps. We will cover the internal architecture of BigQuery...
In this module, we define what Machine Learning is and how it can benefit your business. You\'ll see a few demos of ML in action and learn key ML terms like instances, features, and labels. In the interactive labs, you will practice invoking the pretrained ML APIs available as well as build your...
This course will teach you how to develop an embedded systems device. In order to reduce the time to market, many pre-made hardware and software components are available today. You\'ll discover all the available hardware and software components, such as processor families, operating systems,...
Every time you use Google to search something, every time you use Facebook, Twitter, Instagram or any other SNS (Social Network Service), and every time you buy from a recommended list of products on Amazon.com you are using a big data system. In addition, big data technology supports your...

Data Management Online Courses for Cal Tech Students

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