FREE Trial with Benzinga Pro happening right now!
If you’re searching for IBM data science courses, the professional certificate program is worth considering. It includes 9 courses that are available for free on Coursera, or you can upgrade your enrollment for a fee and complete all the classes to receive your professional certificate.
This is an ideal way to level up your skills and earn a credential that will impress employers and position you for career growth opportunities.
Read on to learn more about courses offered through the IBM Data Science Professional Certificate program.
Quick Look: Best IBM Data Science Courses
Here are the courses included in the IBM Data Science Professional Certificate Program:
- What is Data Science?
- Tools for Data Science
- Data Science Methodology
- Python for Data Science and AI
- Databases and SQL for Data Science
- Data Analysis with Python
- Data Visualization with Python
- Machine Learning with Python
- Applied Data Science Capstone
What Makes an IBM Data Science Course Great?
Wondering what makes the data science courses from IBM worth considering? Here are a few factors:
Facilitated by Experienced Data Scientists
Seasoned data scientists with extensive knowledge steer the ship for the courses in this professional certificate program. They also share strategies, tips and best practices based on their past experiences to help you flourish as a data scientist.
Hands-On
The instructors provide several ways for you to fully grasp the material. Each course includes video lectures, bonus reading material to reinforce the information presented in the lessons and quizzes to ensure you fully comprehend the material. Plus, some classes also use simulations to demonstrate essential data science techniques and invite you to test out your skills through assignments and projects.
Self-Paced
You can set your own deadlines and work through the material at your own pace. Plus, the instructors communicate how much time you should anticipate spending on each course so you can map out your schedule accordingly.
IBM Data Science Courses for Beginners
The courses listed below are designed for individuals who are new to data science.
1. What is Data Science?
Who it's for: Beginners
Price: Free
What is Data Science? provides you with valuable insights from data science practitioners who dive into how data science has evolved.
This 10-hour course is co-instructed by data scientists Alex Aklson, Ph.D. and Poling Lin. It includes 3 modules:
- Defining Data Science and What Data Scientists Do
- Data Science Topics
- Data Science in Business
Each module features video lessons and supplementary readings. You will also be tasked with taking quizzes to assess your comprehension of the material.
2. Tools for Data Science
Who it's for: Beginners
Price: Free
Interested in learning about the tools heavily used in data science? This course explores, including Apache, Data Science Experience, Jupyter Notebooks and RStudio IDE.
You will also learn how they are used and the different features they include to help you work more effectively. Plus, there’s an opportunity for you to complete a project at the end of the course using Jupyter Notebook.
Tools for Data Science involves 3 segments:
- Data Scientist’s Toolkit
- Open Source Tools
- IBM Tools for Data Science
The class is co-facilitated by Romeo Kienzler, Chief Data Scientist and Course Lead at IBM Watson IoT and Svetlana Levitan, Senior Developer Advocate with the IBM Center for Open Data and AI Technologies.
3. Data Science Methodology
Who it's for: Beginners
Price: Free
Also facilitated by Alex Aklson, Ph.D. and Polong Lin, Data Science Methodology dives into a methodology used in data science to confirm that the data used is properly manipulated and relevant.
It includes lessons that convey the steps you should follow to resolve a data science problem, which includes collecting and analyzing data, building a model and reviewing feedback once the model is deployed. You will also discover how data scientists think.
Here’s a breakdown of the course:
- From Problem to Approach and From Requirements to Collection
- From Understanding to Preparation and From Modeling to Evaluation
- From Deployment to Feedback
Expect to spend 10 hours working through the material.
4. Python for Data Science and AI
Who it's for: Beginner students
Price: Free
Led by Joseph Santarcangelo, Ph.D. and Data Scientist at IBM, Python for Data Science and AI introduces you to the Python programming language and how it is leveraged in data science. You will go from a Python novice to a knowledgeable user in a day or less.
Take a look at the course syllabus:
- Python Basics
- Python Data Structures
- Python Programming Fundamentals
- Working with Data in Python
- Analyzing U.S. Economic Data and Building a Dashboard
You will receive in-depth instruction through a series of video lectures and readings. There are also quizzes in each model that assess your comprehension of the material and indicate if you’re ready to move forward in the course.
Upon completing the course, you will know how to develop basic programs in Python and work with data to resolve real-world challenges using the programming language.
5. Databases and SQL for Data Science
Who it's for: Beginners
Price: Free
Databases and SQL for Data Science provides you with foundational SQL knowledge you need to succeed as a data scientist. It delves into relational database concepts and adopts a hands-on approach to teaching so you can learn by implementing your new-found skills.
You will gain experience by working with databases, creating a database instance in the cloud, building and running SQL queries and more.
AI and Data Science Program Director Rav Ahuja divides the course into the following segments:
- Introduction to Databases and Basic SQL
- Advanced SQL
- Accessing Databases Using Python
- Course Assignment
Allocate 14 hours in your schedule to watch the video lectures, read the supplementary material, complete assignments and take the quizzes.
6. Data Analysis with Python
Who it's for: Beginners
Price: Free
Data Analysis with Python teaches you how to analyze several types of data with the programming language. This introductory course features lessons on preparing data for analysis, conducting statistical analysis, developing data visualizations and so much more.
Here’s what you can expect from the course:
- Importing Datasets
- Data Wrangling
- Exploratory Data Analysis
- Model Development
- Model Evaluation
- Final Assignment
- IBM Digital Badge
It is also led by Joseph Santarcangelo, data scientist at IBM.
Intermediate IBM Data Science Courses
These intermediate IBM data science courses revisit the basics and transition into higher-level concepts.
7. Data Visualization with Python
Who it's for: Intermediate students
Price: Free
Data Visualization with Python is also facilitated by Data Scientist Alex Aklson. It explores best practices when using data visualization to present data in a way that’s easy for others to understand.
This intermediate course features 18 in-depth video lessons that are categorized as follows:
- Introduction to Data Visualization Tools
- Basic and Specialized Visualization Tools
- Advanced Visualizations and Geospatial Data
You will also have access to supplementary readings and quizzes to help you comprehend the material and identify areas that you are well-versed or need to revisit.
It takes 18 hours to complete the course.
8. Machine Learning with Python
Who it's for: Intermediate students
Price: Free
IBM Data Scientists Saeed Aghabozorgi and Joseph Santarcangelo bring you this intermediate course that covers the essentials of machine learning with Python. It sheds light on the purpose of machine learning and how it can be applied in the real world through interactive discussions and real-life examples.
Machine Learning with Python features 5 modules:
- Introduction to Machine Learning
- Regression
- Classification
- Clustering
- Recommender Systems
- Final Project
Expect to spend 22 hours working through the course material.
9. Applied Data Science Capstone
Who it's for: Intermediate students
Price: Free
In the final course of the IBM Data Science Professional Certificate program, you will get a glimpse into what data scientists experience when working with data.
Applied Data Science Capstone takes 46 hours to complete and includes these modules:
- Introduction
- Foursquare API
- Neighborhood Segmentation and Clustering
- The Battle of Neighborhoods
- The Battle of Neighborhoods (part 2)
The first three modules provide video instruction, and the final module is dedicated to the capstone project that requires you to solve a real-world problem using data science.
Get Started with IBM Data Science Courses
It’s simple to get started with these courses. Simply select the “enroll now” button we’ve included in the course descriptions and sign up to access the material right away Or you can complete all 9 courses to earn the IBM Data Science Professional Certificate.
Southern New Hampshire University Online
SNHU Online Offers:
- Flexible schedules
- Affordable tuition
- Online tutoring
- Access to electronic research materials
- Specialized academic advising
- Supportive online community