Data Science Certificate
Online
DURATION
425 Hours
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Request earliest startdate
TUITION FEES
USD 3,195
STUDY FORMAT
Distance Learning
Key Summary
Introduction
This online, self-paced program is designed to help students learn the principles of data science. Students will earn a certificate exclusively branded and issued by Duke University. The curriculum provides students with knowledge of key technologies including R, Python, and Tableau. Students will also gain an understanding of supervised and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, KNN, and Deep Learning.
Why choose the Duke Certificate in Data Science?
- 400+ hours of applied learning
- 15+ real-life projects providing hands-on industry training (required in 5 of the 8 courses)
- Industry-recognized certificates from IBM (for IBM courses) and Simplilearn
- 30+ in-demand skills
- Portfolio-worthy capstone demonstrating mastered concepts
This program is best suited for IT Professionals, analytics managers, business analysts, banking and finance professionals, marketing managers, supply chain network managers, beginners or recent graduates with bachelor’s or master’s degrees with an analytical frame of mind. Students have access to the program for one year.
Gallery
Admissions
Curriculum
The Certificate in Data Science is comprised of the following modules:
- Introduction to Artificial Intelligence
- Statistics Essentials for Data Science
- Introductory Python for Data Science
- Data Science with Python
- Machine Learning
- Tableau Training
- Data Science Capstone Project
Labs: The Data Science program consists of an integrated lab platform that provides hands-on experience
Tools: An extensive list of tools are covered within this program. Some of the most popular and in-demand tools include Python, NumPy, Pandas, Tableau, Keras, and TensorFlow.
Elective Courses: This program consists of the following elective courses, included with the core program: SQL Training, Industry Class - Data Science, and Deep Learning with Keras and TensorFlow.
Students who enroll in our program will:
- Learn the meaning, purpose, scope, stages, applications, and effects of Artificial Intelligence
- Gain an in-depth understanding of data structure and data manipulation
- Understand and use linear and non-linear regression models and classification techniques for data analysis
- Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO, and Weave
- Gain expertise in mathematical computing using the NumPy and Scikit-Learn package
- Implement classical Deep Learning Frameworks such as TensorFlow and Keras
- Gain a thorough understanding of the concepts of a recommendation engine, and time series modeling and gain practical mastery over principles, algorithms, and applications of machine learning
- Learn to analyze data using Tableau and become proficient in building interactive dashboards.