Data analytics has transformed modern business, and machine learning has emerged as a core competency. In this seven-week hands-on certificate course, you will learn how to perform supervised machine learning using Python, one of the most popular languages in data science and predictive analytics.
You will build both classification and regression models, learn how to test model performance, understand how to prevent overfitting, and explore feature engineering strategies.
You will receive weekly lectures and course work that you can complete on your own schedule, which will be reviewed by the instructor. For your capstone project, you will build a classification or regression model using a provided data set. You will finish the course with complete code examples that you can use and build on in your own work.
You should expect to spend 4-6 hours per week for the duration of this course, beginning on Sept 30.
Each week you will:
This course includes a final capstone project and all students who complete assignments on time will earn a certificate of completion from TDWI.
This course assumes basic experience using Python.
William Henry is the director of data science at Riskpulse. As Director, he contributes to company and product strategy, leads data-centric projects, manages data science resources, and gets down in the trenches coding and analyzing data himself. Riskpulse provides shipment intelligence by identifying shipment risks before they occur and providing solutions to avoid those risks. Riskpulse works with many clients, including Anheuser Busch, Honda, MillerCoors, etc.
Most TDWI online courses can be started/completed at any time, and do not involve direct communication with the instructor. This seven-week course has a weekly schedule beginning on September 30 and ending on November 15, and involves interaction with the instructor and other students. Each week, the instructor will upload a new video and assignment to be viewed and submitted by end of that week. Students will receive grades and feedback directly from the instructor as the course progresses. The final assignment will be a capstone project due at the end of the course.
Students will log into the TDWI online learning platform and attach assignments into the course portal. All course work and communication will occur in this same portal for easy, centralized access.
Each student who completes assignments that meet the standard of the instructor will receive a digital certificate of completion from TDWI within 10 business days after the course has finished.
Just like with TDWI events, you can save 10% with Early Bird pricing – register by August 2! No coupon code needed. Sign up for course updates above to receive any additional offers.
Your course work and projects will require a computer that meets the following requirements: Windows, MacOS, or Linux / 32- or 64-bit computer / 8 MB available RAM / 600 MB available storage space to download and install Anaconda and data files used in the course.
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Go from insight to foresight when you learn how predictive analytics fits into a BI program and how to distinguish among various predictive model types.
Learn the full foundational principles of analytics, including statistics, visualizations, and the business impact of implementing a program using best practices.
Communicate powerful data stories. Learn to prepare data for data viz, how to choose the right charts and graphs, visual design techniques, and more.
Lay the groundwork for your journey to becoming
Learn best practices in BI principles, including effective ways to deliver BI, data mining, integration, reporting insights and more!
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