Coursera – Applied Data Science Specialization 2024-1

Applied Data Science Specialization. This four-part course teaches the practical skills needed to enter the data science field, including learning Python, analyzing and visualizing data, and applying these skills to machine learning. With no programming background required, you’ll learn essential tools like NumPy and Pandas, practice predictive models, and learn how to use data to make business decisions. Through lectures, interactive labs, and hands-on projects on the IBM Cloud, you’ll solve real-world problems from start to finish. The course includes projects as diverse as mining financial data with Pandas, predicting housing prices with regression models, and designing dynamic dashboards with Matplotlib and Seaborn. Finally, you’ll complete a capstone project in which you apply machine learning models like SVM and logistic regression to predict the reusability of SpaceX rockets. Upon completion, you will receive certificates from Coursera and IBM that can be used towards the IBM Data Science Professional Certification and university credits. This course is an ideal opportunity to build a practical portfolio and prepare to enter more advanced fields such as artificial intelligence and big data.

What you will learn:

• Develop an understanding of Python fundamentals
• Acquire practical Python skills and apply them to data analysis
• Effectively communicate data insights through data visualization
• Create a project that demonstrates your understanding of Applied Data Science techniques and tools

Who is this course suitable for?

• Data Science enthusiasts who want to gain practical skills to solve real-world data problems.
• People who are interested in pursuing a career in Data Science and already have basic skills or have completed the specialized Introduction to Data Science course.