Price:
$1,195.00
Days:
2
Virtual
In this course, you’ll gain practical experience applying machine learning algorithms using Python. You’ll learn how to process and analyze data using NumPy and Pandas, create both classification and regression models with Scikit-learn, and apply feature engineering techniques to real-world datasets. You’ll also explore key concepts such as supervised vs unsupervised learning, model evaluation, and end-to-end model deployment as APIs.
To be successful in this course, learners should have the following: Intermediate Python skills and knowledge Level of knowledge and experience gained from Python for Data Science
What is data literacy, and why is it important?
Understanding the role of data in decision-making
Structured vs. unstructured data
Common data sources in business and everyday applications
Identifying trends and patterns in data
Recognizing data quality issues and avoiding misleading insights
Best practices for presenting data in reports and dashboards
Choosing the right chart type to communicate insights effectively
Real-world data interpretation case studies
Applying data literacy concepts in decision-making scenarios
Support Diversity, Equity, and Inclusion with Every Purchase.
Great Horizons is a North Carolina Certified HUB Vendor and WOSB. By becoming a patron of our organization, you are not only supporting a historically underutilized business, but a woman-owned small business as well.
Give your organization the skills edge it needs. Our corporate training experts will work with you to design, deliver, and support a customized IT program that drives real business results.