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IBM Data Science Professional Certificate

Build job-ready data science skills in just 4-6 months, plus get valuable practical experience and an IBM credential.

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12 Courses

About this Professional Certificate

This Professional Certificate teaches you the skills you need to get your first job in data science or data analysis.

 
You will learn:
  • Mastery of the practical skills and knowledge data scientists use daily
  • The tools, languages, and libraries used by professional data scientists, including Python and SQL
  • How to import and clean data sets, analyze and visualize data, and build machine learning models and data pipelines
  • Apply your new skills to real-world projects and build a portfolio that showcases your breadth of data science skills to employers

Program Overview

Prepare for a career in the high-growth field of data science. The demand for data scientists is projected to grow 10x faster than other occupations (US Bureau of Labor Statistics). In this program, you’ll gain a competitive edge to kickstart your career in data science by developing the skills, tools, and portfolio in as little as five months. You do not need prior knowledge of computer science or programming languages to succeed in this program. 

Data science aims to extract helpful insights and predict outcomes through gathering, cleaning, organizing, and analyzing data. The market increasingly needs skilled data scientists who can tell compelling stories and inform business decisions with data. 

You’ll learn in-demand skills professional data scientists use, including databases, data visualization, statistical analysis, predictive modeling, machine learning algorithms, and data mining. You’ll learn these skills alongside the latest languages, tools, and libraries, including Python, SQL, Jupyter notebooks, Github, Rstudio, Pandas, Numpy, ScikitLearn, Matplotlib, and more.

While completing this program, you will build a robust portfolio of data science projects, giving you the confidence to excel in your interviews.

Your Job Outlook

  • Projected growth for data scientists is 35% until 2033, where the average growth for all occupations is only 3%, highlighting that demand for data scientists will grow 10x faster than other roles. (US Bureau of Labor Statistics)
  • Data scientists and data analysts are among the top 8 fastest-growing in-demand job roles.  (Future of Jobs Report, WEF)

Entry-level median salaries for a data scientist are approximately $78,000. (Salary.com) 
Average Course Rating

4.6 out of 5

Effort

6 Months

Average Difficulty Level

Beginner

Skills You Will Learn

Algorithms, Artificial Intelligence, Big Data, Cloud Databases, CRISP-DM, Dash, Dashboards And Charts, Data Analysis, Data Mining, Data Science, Data Science Methodology, Data Visualization, Databases, Deep Learning, GitHub, Jupyter Notebook, Jupyter Notebooks, K-Means Clustering, Machine Learning, Machine Learning Libraries, Matplotlib, Methodology, Methology, Numpy, Pandas, Pandas Python Package, Python, Python Programming, Python Programming Language, Random Forest Algorithm, Relational Databases, Rstudio, Software Development, SQL, Statistical Modeling, Unsupervised Learning

Language

English

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