The IBM Data Science Professional Certificate provides learners with a thorough grounding in data science, the role of the data scientist in our world, and the approaches they use to solve real-world challenges. You will grow familiar with popular data science tools, including Jupyter notebooks, RStudio IDE, and IBM Cloud. And you will become skilled in using data science methodology to build, test, and train data models. Additionally, you will learn how to work with Python, and become proficient in various Python libraries such as pandas, NumPy and BeautifulSoup. You will develop a project in Python to test and demonstrate your knowledge. Other skills you learn during the course will also enable you to design data science models and AI applications. Through practice SQL exercises on real-world data sets, you will develop a thorough understanding of the role of SQL and databases. You will also create impactful visual representations of data with Python data visualization libraries – Matplotlib, Seaborn, Folium, Plotly and Dash. And you will be introduced to machine learning, including regression, classification, and clustering. Your IBM capstone project will be to design and build a data model that endeavours to solve a real-world issue. This project will be submitted to IBM for evaluation.

1. IBM Data Science
Professional
Certificate

2. Introduction
Become a data science expert with IBM data
science professional certificate. Acquire
valuable competencies to further your journey
in data science and enhance your career.

3. Program Overview
The IBM Data Science Professional Certificate provides a
comprehensive curriculum that builds a strong foundation in data
science. You will gain practical experience with popular tools like
Jupyter notebooks, RStudio IDE, and IBM Cloud, and develop
expertise in Python programming, data visualization, SQL, and
machine learning techniques. The program culminates with an IBM
capstone project, allowing you to apply your skills to solve a real-
world problem and receive evaluation from IBM.

4. This IBM Professional Certificate program comprises ten purposely designed courses that take you on a carefully defined
learning journey. At the end, you will submit a multi-faceted capstone project for evaluation by IBM.
It is a self-paced program, which means it isn’t run to a fixed schedule with regard to completing courses or submitting
assignments. To give you an idea of how long the program takes to complete, it is anticipated that if you work 6-8 hours per
week, you will complete the program in 30 weeks. However, as long as the program is completed before the end date, you can
work at your own pace. The materials for each course module will become available when you start the particular course
You can choose to enrol for the complete certification program in one go or sign up for individual courses. Each course that
you complete will take you a step closer to acquiring the IBM Professional Certificate. And it is worth noting that some
courses may also qualify for other programs.
As part of our mentoring service, you will have access to valuable guidance and support throughout the program. We provide
a dedicated discussion space where you can ask questions, chat with your peers, and resolve issues. Depending on the
payment plan you have chosen, you may also have access to live classes and webinars, which are an excellent opportunity to
discuss problems with your mentor and ask questions. Mentoring services may vary package wise.
Overall, for students keen to formalise their skills in data science, the IBM Data Science Professional Certificate is a superb
opportunity to showcase your applied understanding of the subject. Please note that you must successfully complete the
capstone project to complete the program and earn the IBM Professional Certificate.
How It Works

5. Competence in building, testing, and training data models.
Practical knowledge of Python libraries; pandas and NumPy.
A thorough understanding of data science methodology.
An understanding of databases and SQL; practical application using real-world datasets.
A deep understanding of how machine learning works using Sci-Kit and SciPy.
In-depth knowledge of how data scientists solve real-world problems using data sets.
Valuable skills in Matplotlib, Seaborn, Folium, Plotly and Dash libraries to create impactful data visualizations
Hands-on experience of implementing data science tools: Jupyter Notebook, RStudio IDE, GitHub, DB2 and IBM Cloud.
After completing this course, you will have:
Skills You Will Gain

6. Who Should Enroll On This Program
Individuals who are keen to begin their career in data science.
Individuals looking to land their first data science job.
Experienced developers seeking to upskill, enhance their data science
knowledge, and participate in projects.

7. RAV AHUJA Joseph Santarcangelo
Global Program Director Job Position
This program has been created by these
experts

8. Why Learn with SkillUp Online?
We believe every learner is an individual and every course is an opportunity to build job-
ready skills. Through our human-centered approach to learning, we will empower you to
fulfil your professional and personal goals and enjoy career success.

9. Thank You
'Smart' learning platform that goes beyond
certifications to drive lifelong success in the
technology field.
skillup.online