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Python for Data Analysis

Python for Data Analysis

Professional Certificate in Data Analysis





What's included?

  • Course Information

  • Delivery Format: online
  • Duration: 2 weeks


  The "Python for Data Analysis" course aims to equip participants with essential data analysis skills applicable across industries. Python is chosen for its simplicity and robust data science libraries. The course is designed for all skill levels, covering key areas such as data manipulation, visualization, statistical analysis, and machine learning. Hands-on exercises are integrated to ensure practical applicability. By the end, participants will be able to make data-driven decisions effectively, a capability increasingly vital in today's data-rich world.


 The aims of this course include:
  1. Skill Building: To equip learners with essential Python skills for data analysis.
  2. Industry Alignment: To offer hands-on practice with real-world data.
  3. Data Handling: To teach key data manipulation and cleaning techniques.
  4. Visualization: To introduce effective data visualization methods.
  5. Statistical Foundations: To cover basic statistical analyses for decision-making.
  6. Machine Learning Basics: To introduce predictive analytics using simple algorithms.
  7. Practical Skills: To ensure learners can undertake independent data projects.
  8. Career Boost: To enhance employability in the data science field.
Meet the instructor

Patrick Jones

Patrick Jones is a content marketing professional since 2002. He has a Masters Degree in Digital Marketing and a Bachelors in Education and has been teaching marketing strategies for over 15 years in Chicago. Patrick enjoys teaching all levels and all ages. He looks forward to sharing his love of building meaningful and effective content with all students to develop their marketing abilities.
Patrick Jones - Course author
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