PROFESSIONAL CERTIFICATE IN DATA SCIENCE
Take the first step towards a more rewarding career in data science. Join UTMBDC Professional Certificate program and gain the experties needed to thrive on today’s data driven
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CAPSTONE PROJECT
MODULES:
Introduction to the Capstone Project and problem formulation
Projet Understanding
Conceptual Design
Working Prototype
Reporting
Our 9 Courses
COURSE LEVEL BEGINER, INTERMEDIATE & ADVANCED
INTRODUCTION TO DATA SCIENCE
In this course, participans will learn the concepts and fundamentals of Data Science. Participants also find an overview of data science applications, tools and techniques, plus information on what data scientists do and the skill they need.
Beginner
Methodology and Tools For Data Science
In this course, participants will learn the basics of Data Scientist tools, programming and methodology. Participant will introduce to phyton laguage, SQL, open source tool and data sets.
Beginner
Statistic For Data Science
In this course participant will learn the basic principles of statistical methods and procedures used for data analysis. Participant will take a hands-on approach to statitistical analysis, including summarizing data.
Beginner
Python Basic For Data Science
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Intermediate
Analytics For Data Science
In this course participant will teach participants how to analyze data using Python. This course will proceed from Python fundamentals through exploring numerous data types . Participants will learn to prepare data for analysis , conduct basic statistical analysis, introduce data visualizations, and predict future trend.
Intermediate
Database For Data Science
In this course participants will be exposed to the theory and practical of database and SQL with Python.Participants will be experiencing working with real databases real data science tools, and real-world datasets, creating a database instatnce in the cloud, buld and running SQL queries
Advanced
Visualization For Data Science
In this course participant will be exposed to different types of Python libraries and packages to visualize data in the data science workflow learn the basic principles of statistical methods and procedures used for data analysis.
Advanced
Machine Learning For Data Science
This course will introduce the fundamentals of machine learning. Then, the participants will dive into supervised and unsupervised learning and learn how to implement these techniques in Python using the Scikit-learn library.
Advanced
Deep Learning For Data Science
The particpant will explore specifically convolutional neutral networks, understanding the applications of CNN and how to implement CNN using Keras and Tensorflow library in Python through a series of practical examples.
Advanced
Testimonials
