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IBM Data Science Professional Certificate

IBM Data Science Professional Certificate

Prepare for a transformative journey with IBM’s Data Science Professional Certificate. This course offers a comprehensive introduction to IBM Watson Studio, equipping you with the skills to excel in data analysis and collaborative projects. Discover how to set up and manage data science projects, utilize advanced tools, and leverage Jupyter notebooks for detailed data analyses. Whether you are new to data science or looking to enhance your skills, this course provides a rich learning experience tailored to your needs.
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About

What you'll learn

Master the most up-to-date practical skills and knowledge that data scientists use in their daily roles.

Learn the tools, languages, and libraries used by professional data scientists, including Python and SQL.

Import and clean data sets, analyze and visualize data, and build machine learning models and pipelines.

Apply your new skills to real-world projects and build a portfolio of data projects that showcase your proficiency to employers.

Skill you'll gain

Data Science

Data Science

Data Science

Data Science

Professional Certificate - 9 course series

Earn a career credential that demonstrates your expertise

No prerequisites required

This course is accessible to anyone interested in learning about IBM's data science tools

92 hours
Flexible schedule

Learn at your own pace

Earn degree credit

Learn More

Prepare for a career in Data Analytics

  • Receive professional-level training from IBM
  • Qualify for in-demand job titles: Data Analyst, Associate Data Analyst, Business Analyst
  • Earn an employer-recognized certificate from IBM
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Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV Share it on social media and in your performance review

Curriculum

This course is perfect for aspiring data scientists, data engineers, and application developers looking to advance their expertise in data analysis and collaborative project management using IBM Watson Studio.

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Module 1: What is Data Science? (6 hours)
  • Understand the fundamentals of data science.
  • Explore various data science career paths and applications.
Module 2: Tools for Data Science (7 hours)
  • Learn about the most popular data science tools.
  • Gain hands-on experience with Watson Studio and other essential tools.
Module 3: Data Science Methodology (7 hours)
  • Grasp the methodology behind data science.
  • Understand the workflow and processes used by data scientists.
Module 4: Python for Data Science, AI & Development (20 hours)
  • Gain proficiency in Python programming.
  • Learn to use Python for data analysis and visualization.
Module 5: Python Project for Data Science (6 hours)
  • Apply your Python skills in a real-world project.
  • Learn to solve data science problems using Python.
Module 6: Databases and SQL for Data Science with Python (7 hours)
  • Understand relational databases and SQL.
  • Learn to use SQL for data extraction and manipulation.
Module 7: Data Analysis with Python (6 hours)
  • Perform data analysis using Python.
  • Explore data visualization techniques and tools.
Module 8: Data Visualization with Python (6 hours)
  • Create compelling data visualizations.
  • Learn to use libraries like Matplotlib and Seaborn.
Module 9: Machine Learning with Python (7 hours)
  • Understand the basics of machine learning.
  • Implement machine learning models using Python.
Module 10: Applied Data Science Capstone (20 hours)
  • Integrate all the skills you have learned.
  • Work on a comprehensive data science project.

IBM Data Science Professional Certificate

Master the most up-to-date practical skills and knowledge that data scientists use in their daily roles.

Learn the tools, languages, and libraries used by professional data scientists, including Python and SQL.

Import and clean data sets, analyze and visualize data, and build machine learning models and pipelines.

Apply your new skills to real-world projects and build a portfolio of data projects that showcase your proficiency to employers.

Apply Now

Admission Process

Step 1: Apply

Apply by filling a simple online application form

Step 2: Screening process

Attend an application screening call

Step 3: Join Program

An offer letter will be rolled out to selected candidates. Secure your seat by paying the admission fee

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