Data Science Fundamentals with Python and SQL Specialization
Course Features
Duration
6 months
Delivery Method
Online
Available on
Limited Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Beginner
Effort
3 hours per week
Teaching Type
Self Paced
Course Description
Course Overview
International Faculty
Case Based Learning
Post Course Interactions
Case Studies,Hands-On Training,Instructor-Moderated Discussions
Skills You Will Gain
Prerequisites/Requirements
Just basic computer literacy and willingness to self-learn online.
No prior knowledge of computer science or programming languages required
What You Will Learn
Working knowledge of Data Science Tools such as Jupyter Notebooks, R Studio, GitHub, Watson Studio
Python programming basics including data structures, logic, working with files, invoking APIs, and libraries such as Pandas and Numpy
Statistical Analysis techniques including Descriptive Statistics, Data Visualization, Probability Distribution, Hypothesis Testing and Regression
Relational Database fundamentals including SQL query language, Select statements, sorting & filtering, database functions, accessing multiple tables
Course Instructors
Aije Egwaikhide
Senior Data Scientist
Svetlana Levitan
Senior Developer Advocate with IBM Center for Open Data and AI Technologies
Romeo Kienzler
Chief Data Scientist, Course Lead
Joseph Santarcangelo
Ph.D., Data Scientist at IBM