Artificial Intelligence & Data Science
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Data Science Fundamentals with Python and SQL Specialization

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Course Features

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Duration

6 months

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Effort

3 hours per week

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Teaching Type

Self Paced

Course Description

Data Science has been one of the most sought-after professions over the past decade. Data scientists are in high demand. They must be able to analyse data and communicate results to make data-driven decisions. The IBM Specialization in Data Science provides the foundation skills needed to begin a career in data science.

This specialization is made up of five online courses that can be taken at your own pace. These courses will provide you with the foundational skills required for Data Science. These courses include SQL, Statistical Analysis, and Python. This will include hands-on training with real data science tools, and real data sets.

These courses will provide you with the practical knowledge and experience to dive deeper into Data Science and create advanced Data Science Projects.

Course Overview

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International Faculty

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Case Based Learning

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Post Course Interactions

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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

Aije Egwaikhide is a Data Scientist at IBM who holds a degree in Economics and Statistics from the University of Manitoba and a Post-grad in Business Analytics from St. Lawrence College, Kingston. Sh...

Svetlana Levitan

Senior Developer Advocate with IBM Center for Open Data and AI Technologies

Senior Developer Advocate with IBM Center for Open Data and AI Technologies, Svetlana has been a software engineer and technical lead for SPSS for many years. She works on open standards for machine ...

Romeo Kienzler

Chief Data Scientist, Course Lead

Romeo Kienzler holds a M. Sc. (ETH) in Information Systems, Bioinformatics & Applied Statistics (Swiss Federal Institute of Technology). He has nearly two decades of experience in Software Enineering...

Joseph Santarcangelo

Ph.D., Data Scientist at IBM

Joseph has a Ph.D. in Electrical Engineering, his research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition. Joseph has been working for IBM since he completed his PhD.
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