IBM Data Science Professional Certificate with Hands-on Projects

IBM Data Science Professional Certificate with Hands-on Projects


Data science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data-driven decisions has never been greater. This Professional Certificate will help anyone interested in pursuing a career in data science or machine learning develop career-relevant skills.

It’s a myth that to become a data scientist you need a Ph.D. Anyone with a passion for learning can take this Professional Certificate – no prior knowledge of computer science or programming languages required – and develop the skills, tools, and portfolio to have a competitive edge in the job market as an entry-level data scientist.

The program consists of 9 online courses that will provide you with the latest job-ready tools and skills, including open-source tools and libraries, Python, databases, SQL, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning algorithms. You’ll learn data science through hands-on practice in the IBM Cloud using real data science tools and real-world data sets.

Upon completing these courses, you will have built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in data science.





What you'll learn?


  • Describe what is data science, the various activities of a data scientist’s job, and the methodology to think and work like a data scientist  
  • Develop hands-on skills using the tools, languages, and libraries used by professional data scientists  
  • Import and clean data sets, analyze and visualize data, and build and evaluate machine learning models and pipelines using Python 
  • Apply various data science skills, techniques, and tools to complete a project using a real-world data set and publish a report for stakeholders




Skills you'll gain:


  • Data Science
  • Deep Learning
  • Machine Learning
  • Big Data
  • Data Mining
  • Github
  • Python Programming
  • Jupyter notebooks
  • Rstudio
  • Methodology
  • Data Analysis




Applied Learning Projects:


This Professional Certificate has a strong emphasis on applied learning. The courses include a series of hands-on labs in the IBM Cloud that give you practical skills with applicability to real jobs, including:

Tools: Jupyter / JupyterLab, GitHub, R Studio, and Watson Studio

Libraries: Pandas, NumPy, Matplotlib, Seaborn, Folium, ipython-sql, Scikit-learn, ScipPy, etc.




  • Extract and graph financial data with the Pandas Python library.
  • Use SQL to query census, crime, and school demographic data sets.
  • Wrangle data, graph plots, and create regression models to predict housing prices with data science Python libraries.
  • Create a dynamic Python dashboard to monitor, report, and improve US domestic flight reliability.
  • Apply and compare machine learning classification algorithms to predict whether a loan case will be paid off or not.
  • Train and compare machine learning models to predict if a space launch can reuse the first stage of a rocket.



What is a Professional Certificate?


  • Build the Skills to Get Job Ready
  • Hands-On Projects
  • Earn a Career Credential





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