Data Science Online Course - IBM Free

Provider	IBM
Type	Online Course
Country	Online
Gender	Male/Female
Course Type	Free
Duration	4 Month

About IBM:

The IBM Data Science Professional Certificate is a comprehensive online learning program created by the International Business Machines Corporation (IBM), aimed at equipping learners with the foundational and advanced skills needed to launch a successful career in the field of data science. Delivered through Coursera, this professional certificate is particularly beginner-friendly, making it an ideal choice for individuals with little to no background in computer science or programming. Whether you’re a recent graduate, a career switcher, or someone simply curious about data science, this program offers a well-structured and supportive path forward.

The certificate program consists of 12 skill-building courses that cover a wide array of core data science topics. As learners progress, they will delve into Python programming, SQL for data querying, data analysis, data visualization, and machine learning techniques. The curriculum is designed not just to teach theory, but to emphasize hands-on experience, using tools such as Jupyter Notebooks, Pandas, Matplotlib, Seaborn, Scikit-learn, and more. These are some of the most widely used technologies in real-world data science projects and by professionals in the field.

One of the highlights of the program is its focus on practical, project-based learning. Learners will work on real-world scenarios and build a professional portfolio of data science projects that they can showcase to prospective employers. From data wrangling and exploratory data analysis to building and evaluating machine learning models, the certificate enables learners to develop job-ready skills that are in high demand across many industries.

Another standout feature of the IBM Data Science Certificate is the inclusion of a module on Generative AI, which explores the evolving role of artificial intelligence in the data science ecosystem. This addition ensures that learners stay on top of emerging trends and technologies shaping the future of data analysis, automation, and decision-making.

Designed for maximum flexibility, the program can be completed at your own pace, with most learners finishing it within four months by dedicating just a few hours each week. Upon successful completion of the program, participants will receive a recognized certificate from IBM, which can be added to professional profiles like LinkedIn and resumes to demonstrate proficiency and commitment to learning.

Additionally, graduates may gain access to the IBM Talent Network, offering potential career opportunities and further professional development. Whether you’re aiming to become a data analyst, data scientist, machine learning engineer, or simply want to understand how to work with data effectively in your current role, this certificate serves as a strong stepping stone.

In summary, the IBM Data Science Professional Certificate is more than just a series of online courses—it’s a guided learning journey that transforms beginners into confident data science professionals, prepared to take on the challenges of an increasingly data-driven world.

IBM Online Course Details:

Type: Online Course
Country: Online
Gender: Male/Female
Language Required: No
Eligible Countries: All countries
Duration: 4 Month
Course Language : English

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IBM Online Course Benefits:

Receive an official certificate from IBM to enhance your resume and online profiles
Gain practical experience by completing real data science projects and building a portfolio
Get connected to job openings through IBM’s exclusive talent network
Eligible for university credit recommendations — up to 12 ACE® and 6 ECTS credits
Work on real-world problems using IBM Cloud platforms and tools
Learn directly from seasoned professionals at the IBM Skills Network

Skills you acquire:

Building predictive models using supervised learning techniques
Cleaning, transforming, and organizing messy data sets (data wrangling)
Exploring the use of generative AI in data-driven tasks
Working with data structures for analysis and transformation
Identifying hidden patterns through unsupervised learning methods
Creating dynamic and engaging visualizations with interactive tools
Growing your professional network and connecting with industry peers
Designing custom visuals using Plotly for detailed insights
Analyzing and manipulating data efficiently using the Pandas library
Generating charts and plots with Matplotlib for clear data storytelling
Improving data quality through structured cleansing techniques
Applying various software solutions to visualize complex data

Course curriculum:

Introduction to the World of Data Science
Understand what data science is, why it matters, and how it’s transforming industries.
Essential Tools Every Data Scientist Uses
Get familiar with the core platforms, libraries, and environments used in real-world projects.
Step-by-Step Data Science Workflow
Explore the structured approach professionals follow to solve data problems effectively.
Learning Python for Data, AI, and Software Development
Build a solid foundation in Python programming tailored for data-centric applications.
Hands-On Python Project for Data Applications
Apply what you’ve learned by completing a real project using Python tools and techniques.
Working with Databases and SQL in Python
Learn how to retrieve, manage, and query structured data using SQL alongside Python.
Exploring and Understanding Data with Python
Dive into data sets to uncover patterns, trends, and insights through analysis.
Creating Visual Stories with Data in Python
Learn to communicate findings through graphs and charts using powerful visualization libraries.
Machine Learning Concepts and Techniques in Python
Get introduced to algorithms that allow machines to learn from data and make predictions.
Capstone: Solving Real-World Problems with Data Science
Complete a final project that brings together all the skills learned throughout the program.
Generative AI and Its Role in Modern Data Science
Discover how cutting-edge AI models are being applied in today’s data science workflows.
Preparing for a Career as a Data Scientist
Gain insight into job roles, build your interview confidence, and polish your professional presence.

Eligibility Criteria:

No background in programming or data science needed to get started
General comfort with using a computer is recommended
Available to learners worldwide, regardless of educational or professional background
A stable internet connection is required to access course materials and complete assignments

How to Apply?

Visit the official course page on Coursera (link provided below).
Select the “Apply for Free” button to begin — you’ll have access for 7 days at no cost, or you can choose to apply for financial support.
For broader access, you can choose to join Coursera Plus, which gives you unlimited learning across the platform.
Study on your own schedule, work through each course at your own pace, and finish the full program when you’re ready.

Apply Now

https://www.coursera.org/professional-certificates/ibm-data-science