IBM Data Science Professional Certificate drafted

Program Overview

The IBM Data Science Professional Certificate, designed by IBM and delivered by Nexford University, provides a comprehensive curriculum for aspiring data scientists. Through 10 modules covering essential concepts, the program equips learners with the skills and knowledge to succeed in data science roles, including data analysis, machine learning, and industry-recognized certifications. The flexible online format and experienced instructors ensure a tailored learning experience, preparing graduates for careers in data science and related fields.

Program Outline

Degree Overview

IBM Data Science Professional Certificate

is a program designed by experts at IBM and delivered by Nexford University. It offers a comprehensive curriculum for individuals seeking to enter the field of data science.

Objectives:

• Equip learners with the skills and knowledge required to succeed in data science roles.
• Provide a foundation in data analysis, machine learning, and other essential data science concepts.
• Prepare learners for industry-recognized certifications in data science.

Program Description:

• Duration: 6 months (program access ends August 31)
• Effort: 15 hours per week, flexible to fit individual schedules.
• Format: 100% online with engaging study groups and mentorship sessions.
• Cost: $50 for individuals who apply by April 30 and use discount code PROFNXU.

Outline

Course Schedule:

The program consists of 10 modules, each focusing on a specific data science concept:

Tools for Data Science

Data Science Methodology

Python for Data Science, AI & Development

Python Project for Data Science

Databases and SQL for Data Science with Python

Data Analysis with Python

Data Visualization with Python

Machine Learning with Python

Applied Data Science Capstone

Individual Modules:

• Module 1: Introduces data science concepts, applications, and methodologies.
• Module 2: Covers popular data science tools like Jupyter Notebooks, RStudio IDE, Git, and more.
• Module 3: Explores the CRISP-DM methodology for data science problem-solving.
• Module 5: Involves completing a hands-on Python project for data science.
• Module 6: Teaches the fundamentals of SQL and its application in data analysis.
• Module 7: Covers data analysis techniques and model building using Python.
• Module 9: Introduces machine learning algorithms and model building.
• Module 10: Involves completing a capstone project simulating real-world data science tasks.

Assessment

The program employs various assessment methods to evaluate learner progress:

• Formative assessments: Regular quizzes, assignments, and projects throughout the modules.
• Summative assessments: End-of-module exams to assess overall understanding of key concepts.
• Capstone project: A final project demonstrating the application of learned skills to a real-world problem.

Teaching

The program utilizes a blended approach to teaching:

• Experienced instructors: Expert faculty from IBM and Nexford University.
• Interactive learning: Engaging study groups and mentorship sessions.
• Online platform: Flexible access to learning materials and resources.

Careers

Upon completion of the program, learners are prepared for various data science roles, including:

• Data Scientist
• Data Analyst
• Machine Learning Engineer
• Business Intelligence Analyst
The program also provides access to the IBM Talent Network, connecting learners with job opportunities at IBM and other organizations.

Other

• The program has earned a credit recommendation from the American Council on Education (ACE), allowing learners to earn college credit.
• Nexford University offers payment options in local currencies for global learners.
• The program prepares learners for success in data science roles regardless of their location.