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Introduction to the course
For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, it can also inform—by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This Certified Data Science Practitioner training course will enable you to bring value to the business by putting data science concepts into practice. This training course includes hands on activities for each topic area.
Course details
In this Certified Data Science Practitioner training course, you will implement data science techniques in order to address business issues.
You will:
- Use data science principles to address business issues.
- Apply the extract, transform, and load (ETL) process to prepare datasets.
- Use multiple techniques to analyze data and extract valuable insights.
- Design a machine learning approach to address business issues.
- Train, tune, and evaluate classification models.
- Train, tune, and evaluate regression and forecasting models.
- Train, tune, and evaluate clustering models.
- Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance.
This Certified Data Science Practitioner training course is designed for business professionals who leverage data to address business issues. The typical participant in this training course will have several years of experience with computing technology, including some aptitude in computer programming.
However, there is not necessarily a single organizational role that this training course targets. A prospective participant might be a programmer looking to expand their knowledge of how to guide business decisions by collecting, wrangling, analyzing, and manipulating data through code; or a data analyst with a background in applied math and statistics who wants to take their skills to the next level; or any number of other data driven situations.
Ultimately, the target participant is someone who wants to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business.
This Certified Data Science Practitioner training course is also designed to assist participants in preparing for the CertNexus® Certified Data Science Practitioner (CDSP) (Exam DSP-110) certification.
Daily Agenda
DAY 1:
Addressing Business Issues with Data Science
- Initiate a data science project
- Formulate a data science problem
Extracting, Transforming, and Loading Data
- Extract data
- Transform data
- Load data
DAY 2:
Analyzing Data
- Examine data
- Explore the underlying distribution of data
- Use visualizations to analyze data
- Preprocess data
DAY 3:
Designing a Machine Learning Approach
- Identify machine learning concepts
- Test a hypothesis
Developing Classification Models
- Train and tune classification models
- Evaluate classification models
DAY 4:
Developing Regression Models
- Train and tune regression models
- Evaluate regression models
Developing Clustering Models
- Train and tune clustering models
- Evaluate clustering models
DAY 5:
Finalizing a Data Science Project
- Communicate results to stakeholders
- Demonstrate models in a web app
- Implement and test production pipelines
Frequently Asked Questions
There are no prerequisites. Our courses are open to students of all backgrounds who are 18 years of age and older. All courses are conducted in English. Video lectures include English subtitles and the option to slow-down, pause, or replay lectures for better retention. Discussion boards are a critical component of each of our courses; therefore, we suggest students have a conversational knowledge of English when pursuing a Certificate of Completion. For any of the art writing courses, students need to be 100% proficient in written English.
You should have an up-to-date web browser such as: Chrome, Safari, Firefox, or Internet Explorer. For more detailed information, please see the guides for supported browsers and basic computer specifications. Our Online Courses can be accessed on a mobile or tablet device, although we strongly encourage you to have access to a desktop or laptop computer and reliable internet connection for certain course components. Former students have told us it is easiest to read discussion threads and complete written assignments on a laptop or desktop computer.
Registration is available on our website. Just follow these simple steps: Click the “Apply Now” button in the top right corner of your screen. Select “Online Courses.” Choose your course(s). You will be asked for basic contact information and your credit card payment. We require full payment at the time of registration and all tuition is billed in US dollars. Be sure to check with your bank or credit card company, as your financial institution may charge a foreign transaction fee.
Our classes are kept small, at no more than 30 students, to better facilitate and encourage personalized interaction with the instructor and fellow participants. Your classmates come from all over the globe and contribute their global perspectives and experience. Some are currently working within the arts while others are just beginning. All classmates share in their passion for the art world.
It is recommended that you begin your course promptly. If you do need to start the course a few days late, contact your instructor as soon as possible after the course has opened to discuss your options. Registration closes on the Friday after the course begins.
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Course customization available
Course customization available
This training course is available to be conducted at your own pace & at your own time. Request for a quotation now and our training advisor will contact you shortly
